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  • Review
  • Open Access

The hyperpycnite problem

Journal of Palaeogeography20187:6

  • Received: 11 September 2017
  • Accepted: 2 January 2018
  • Published:


Sedimentologic, oceanographic, and hydraulic engineering publications on hyperpycnal flows claim that (1) river flows transform into turbidity currents at plunge points near the shoreline, (2) hyperpycnal flows have the power to erode the seafloor and cause submarine canyons, and, (3) hyperpycnal flows are efficient in transporting sand across the shelf and can deliver sediments into the deep sea for developing submarine fans. Importantly, these claims do have economic implications for the petroleum industry for predicting sandy reservoirs in deep-water petroleum exploration. However, these claims are based strictly on experimental or theoretical basis, without the supporting empirical data from modern depositional systems. Therefore, the primary purpose of this article is to rigorously evaluate the merits of these claims.

A global evaluation of density plumes, based on 26 case studies (e.g., Yellow River, Yangtze River, Copper River, Hugli River (Ganges), Guadalquivir River, Río de la Plata Estuary, Zambezi River, among others), suggests a complex variability in nature. Real-world examples show that density plumes (1) occur in six different environments (i.e., marine, lacustrine, estuarine, lagoon, bay, and reef); (2) are composed of six different compositional materials (e.g., siliciclastic, calciclastic, planktonic, etc.); (3) derive material from 11 different sources (e.g., river flood, tidal estuary, subglacial, etc.); (4) are subjected to 15 different external controls (e.g., tidal shear fronts, ocean currents, cyclones, tsunamis, etc.); and, (5) exhibit 24 configurations (e.g., lobate, coalescing, linear, swirly, U-Turn, anastomosing, etc.).

Major problem areas are: (1) There are at least 16 types of hyperpycnal flows (e.g., density flow, underflow, high-density hyperpycnal plume, high-turbid mass flow, tide-modulated hyperpycnal flow, cyclone-induced hyperpycnal turbidity current, multi-layer hyperpycnal flows, etc.), without an underpinning principle of fluid dynamics. (2) The basic tenet that river currents transform into turbidity currents at plunge points near the shoreline is based on an experiment that used fresh tap water as a standing body. In attempting to understand all density plumes, such an experimental result is inapplicable to marine waters (sea or ocean) with a higher density due to salt content. (3) Published velocity measurements from the Yellow River mouth, a classic area, are of tidal currents, not of hyperpycnal flows. Importantly, the presence of tidal shear front at the Yellow River mouth limits seaward transport of sediments. (4) Despite its popularity, the hyperpycnite facies model has not been validated by laboratory experiments or by real-world empirical field data from modern settings. (5) The presence of an erosional surface within a single hyperpycnite depositional unit is antithetical to the basic principles of stratigraphy. (6) The hypothetical model of “extrabasinal turbidites”, deposited by river-flood triggered hyperpycnal flows, is untenable. This is because high-density turbidity currents, which serve as the conceptual basis for the model, have never been documented in the world’s oceans. (7) Although plant remains are considered a criterion for recognizing hyperpycnites, the “Type 1” shelf-incising canyons having heads with connection to a major river or estuarine system could serve as a conduit for transporting plant remains by other processes, such as tidal currents. (8) Genuine hyperpycnal flows are feeble and muddy by nature, and they are confined to the inner shelf in modern settings. (9) Distinguishing criteria of ancient hyperpycnites from turbidites or contourites are muddled. (10) After 65 years of research since Bates (AAPG Bulletin 37: 2119–2162, 1953), our understanding of hyperpycnal flows and their deposits is still incomplete and without clarity.


  • Density plumes
  • Facies model
  • Hyperpycnites
  • Submarine fans
  • Tidal shear fronts
  • Ocean currents
  • Turbidity currents
  • Yellow River
  • Yangtze River

1 Introduction

1.1 The incentive

The term “hyperpycnite” (i.e., deposits of hyperpycnal flows) was first introduced by Mulder et al. (2002) in an academic debate with me (Shanmugam 2002) on the origin of inverse grading by hyperpycnal flows. The following year, Mulder et al. (2003) published their review paper with the introduction of the genetic facies model of hyperpycnites. I have been an ardent critic of all genetic facies models. Examples are:
  1. 1)

    “Is the turbidite facies association scheme valid for interpreting ancient submarine fan environment?” (Shanmugam et al. 1985).

  2. 2)

    “The Bouma sequence and the turbidite mind set” (Shanmugam 1997).

  3. 3)

    “The tsunamite problem” (Shanmugam 2006b).

  4. 4)

    “The landslide problem” (Shanmugam 2015).

  5. 5)

    “Submarine fans: A critical retrospective (1950−2015)” (Shanmugam 2016a).

  6. 6)

    “The contourite problem” (Shanmugam 2016b).

  7. 7)

    “The seismite problem” (Shanmugam 2016c).


In continuing this trend, it is only logical to contribute this paper — “The hyperpycnite problem”.

1.2 The history

Forel (1885, 1892) first reported the phenomenon of density plumes in the Lake Geneva (Loc Léman), Switzerland (Fig. 1). In advocating a rational theory for delta formation, Bates (1953) suggested three types: (1) hypopycnal plume for floating river water that has lower density than basin water (Fig. 2a); (2) homopycnal plume for mixing river water that has equal density as basin water (Fig. 2b); and (3) hyperpycnal plume for sinking river water that has higher density than basin water (Fig. 2c). Mulder et al. (2003) expanded the applicability of the concept of hyperpycnal plumes from shallow water (deltaic) to deep-water (continental slope and abyssal plain) environments. In this new development, hyperpycnal flows are considered analogous to turbidity currents in many respects (Mulder et al. 2003; Steel et al. 2016; Zavala and Arcuri 2016).
Fig. 1
Fig. 1

Location map of 26 case studies of marine and lacustrine environments (Table 1). Forel (1885, 1892) first reported the phenomenon of density plumes in the Lake Geneva, which is considered as the birthplace of concepts related to density plumes

Fig. 2
Fig. 2

Concepts and examples of density plumes. a, b, and c Schematic diagrams showing three types of density variations in riverine plumes in deltaic environments based on concepts of Bates (1953). a Hypopycnal plume in which density of river water is less than density of basin water; b Homopycnal plume in which density of river water is equal to density of basin water; c Hyperpycnal plume in which density of river water is greater than density of basin water. Figure from Shanmugam (2012) with permission from Elsevier Handbook of Petroleum Exploration and Production. License Number: 4259411120776. License Date: December 31, 2017; d Image of the Mississippi River showing well-developed floating hypopycnal plumes. Note “deflecting” plumes. Black arrow shows river course for the South Pass (Walker et al., 1993). Circle shows river mouth. See Coleman and Prior (1982) for river-dominated deltaic facies model. Image credit: NASA; e Satellite image of the Yellow River showing well-developed lobate plume at the old river mouth. Image credit: NASA Earth Observatory.; f Satellite image of the Yellow River showing horse’s tail plume at the modern river mouth that was initiated in 1996. Two circles show old and modern river mouths. Image credit: NASA Earth Observatory.

During the past four decades, there has been an accelerated effort to understand these density plumes through (1) observational and/or interpretational (Arnau et al. 2004; Bhattacharya and MacEachern 2009; Collins et al. 2017; Gihm and Hwang 2016; Johnson et al. 2001; Lewis et al. 2018; Luo et al. 2017; Milliman et al. 2007; Mulder et al. 2003; Mutti et al. 1996; Ogston et al. 2000; Pan et al. 2017; Petter and Steel 2006; Pierce 2012; Puig et al. 2014; Schillereff et al. 2014; Shanmugam 2016a, 2018a, 2018b, 2018c; Soyinka and Slatt 2008; Steel et al. 2016, 2018; Sun et al. 2016; Talling 2014; Warrick et al. 2013; Wilson and Schieber 2014, 2017; Wright et al. 1986, 1988; Yang et al. 2017a; Zavala and Arcuri 2016; Zavala and Pan 2018; Zavala et al. 2006; among others), (2) experimental (Kostic and Parker 2003; Kostic et al. 2002; Lamb and Mohrig 2009; Lamb et al. 2010; Parsons et al. 2001), and (3) numerical (Chen et al. 2013; Kassem and Imran 2001; Khan et al. 2005; Kostic and Parker 2003; Morales de Luna et al. 2017; Qiao et al. 2008; Wang and Wang 2010; Wang et al. 2017; among others) studies.

1.3 The problem

Despite popular claims that (1) river flows transform into turbidity currents at plunge points near the shoreline (Kostic et al. 2002; Lamb et al. 2010), (2) hyperpycnal flows have the power to erode the seafloor and cause submarine canyons (Lamb et al. 2010), (3) hyperpycnal flows develop an unique vertical sequence (i.e., facies model) (Mulder et al. 2003), and, (4) hyperpycnal flows are efficient in transporting sand across the shelf and can deliver sediments into the deep sea for developing submarine fans (Zavala and Arcuri 2016), our understanding of hyperpycnal flows and their deposits, in particular, in deep-water settings (i.e., seaward of the shelf-slope break at about 200 m water depth, Fig. 3), is highly speculative.
Fig. 3
Fig. 3

Continental margin and flume experiments. a Conceptual diagram of a continetal margin showing relative positions of plunge point (red filled circle) at river mouth and submarine fan at base-of-slope. Average shelf width = 80 km. Maximum shelf width = 1,500 km; b Schematic diagram, based on flume experiments conducted using fresh water as standing body, showing transformation of river current into turbidity current at plunge point (red filled circle). Note that this experiment using fresh water is applicable to fresh water lakes, but not to marine settings (sea or ocean). From Kostic et al. (2002) with additional labels; c Schematic diagram with backwater zone showing transformation of river plume into turbidity currents at plunge point (red filled circle). Note the close similarity between B and C on the initiation of turbidity currents at plunge point. In this study, the term “hyperpycnal flow” is used for flows seaward of the plunge point, instead of turbidity current (see text). From Lamb et al. (2010) with additional symbols

Specific issues are:
  1. 1)

    There is not a single documented case of hyperpycnal flow, which is transporting sand across the continental shelf, and supplying sand beyond the modern shelf break (Fig. 3).

  2. 2)

    Thus far, the emphasis has been solely on river-mouth hyperpycnal flows (Mulder et al. 2003), thus ignoring density plumes in other environments, such as open marine settings, far away from the shoreline.

  3. 3)

    Despite their common occurrence, density plumes triggered by tidal currents, glacial meltwater, eolian dust, volcanic explosion, cyclones, tsunamis, upwelling, etc. are largely ignored from sedimentological investigations.

  4. 4)

    Specifically, there are fundamental problems associated with the concept of hyperpycnal flows in terms of fluid dynamics, depositional mechanisms, sedimentary structures, etc., which generated a lively debate (Mulder et al. 2002; Shanmugam 2002).

  5. 5)

    Finally, hyperpycnite facies models have implications for the petroleum industry for predicting sandy reservoirs in deep-water petroleum exploration and exploitation. For example, Yang et al. (2017a, p. 115) in their article published in the AAPG Bulletin stated that “The lacustrine hyperpycnites of the Yanchang Formation have important implications for unconventional petroleum exploitation”. Shanmugam (2018a) discussed this study in terms of inherent problems with data, documentation, and facies model.


1.4 The objective

In addressing the above listed problems, the primary purpose of this article is to rigorously evaluate the merits of various claims on hyperpycnal flows and related facies models. This evaluation is based on 26 case studies (Fig. 1; Table 1). Each case study is used in identifying problem areas. In particular, the Yellow River in China is used as the prime example because of its historical significance (Milliman and Meade 1983) and its data-rich environments (Wright et al. 1986). This paper is organized into the following topics: (1) basic concepts, (2) the Yellow River, (3) the Yangtze River, (4) external controls, (5) recognition of ancient hyperpycnites, (6) submarine fans, (7) submarine canyons, and (8) configurations of density plumes. The ultimate goal here is to identify problem areas and to alert students of challenges in their future research and to identify opportunities for future research.
Table 1

Configurations of density plumes on satellite images in modern marine and lacustrine environments. See Shanmugam (2018b) for a comprehensive study of 45 case studies

Serial number in Fig. 1

Case study and location

Configuration of density plumes on satellite images


External control



1A − Yellow River, Bohai Bay

1A − Simple lobate, associated with a single river mouth (old river mouth, 1995; Fig. 2e)

River-dominated delta

Tidal shear front (Wang et al. 2010)

Interpretation of a specific type of plume in the ancient record is impractical at present.

1B − Yellow River, Bohai Bay

1B − Horse’s tail (Modern river mouth, 1999; Fig. 2f)

River-dominated delta

Tidal shear front (Wang et al. 2010)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Yangtze River, East China Sea

Deflecting (Fig. 11a)

Tide-dominated estuary

Shelf currents (Liu et al. 2006) Vertical mixing by tides in winter months (Luo et al. 2017)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Río de la Plata Estuary, Argentina and Uruguay, South Atlantic Ocean

Dissipating (Fig. 20c)


Ocean currents (Gonzalez-Silvera et al. 2006; Matano et al. 2010)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Guadalquivir River, Southern Spain, Gulf of Cádiz

U-Turn (Fig. 22c)

River-dominated delta

Surace and slope currents (Peliz et al. 2009)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Strait of Gibraltar

Swirly (NASA 2017)

Strait mouth

Ocean water moving through the strait and internal waves (Shanmugam 2013)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Chignik Lake, Alaska, Pacific Ocean

Linear (Fig. 6)

Braided delta in a lagoon, Pacific Ocean

Coarse-grained braided delta (McPherson et al. 1987)

Interpretation of a specific type of plume in the ancient record is impractical at present.


7A − Copper River, Gulf of Alaska

7A − Coalescing irregular, associated with multiple river mouths (Fig. 24a)

Braided delta, marine

Coarse-grained braided delta

Interpretation of a specific type of plume in the ancient record is impractical at present.

7B − Copper River, Gulf of Alaska

7B − Blanketing eolian dust plume (Fig. 24b)

Braided delta, marine


Interpretation of a specific type of plume in the ancient record is impractical at present.


Hugli River (a distributary of the Ganges River), India, Bay of Bengal

Anastomosing (Fig. 25b)

Tide-dominated estuary (Balasubramanian and Ajmal Khan 2002)

Tidal currents

The Bay of Bengal is known not only for severe monsoonal floods, but also for frequent cyclonic activity (Shanmugam 2008a)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Zambezi River, Central Mozambique, Indian Ocean

Coalescing lobate, associated with multiple river mouths (Fig. 23)

Wave-dominated delta

Longshore currents (Mikhailov et al. 2015)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Off Namibia, South Atlantic

Cloudy (NASA 2017)


Upwelling (Plankton) (Shillington et al. 1992)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Off Namibia, South Atlantic

Swirly (NASA 2017)


Upwelling (Hydrogen sulfide)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Gulf of Mannar, India and Sri Lanka, Indian Ocean

Massive and swirly (NASA 2017)


Monsoonal currents (Jagadeesan et al. 2013); wave actions (Sridhar et al. 2008)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Golden Gate Bridge, San Francisco Bay, Pacific Ocean

Tidal lobate (Fig. 26c)

Bay mouth

Tidal currents (Barnard et al. 2006)

Interpretation of a specific type of plume in the ancient record is impractical at present.


U.S. Atlantic shelf

Cascading (Shanmugam 2008a)

Shelf (Marine)

1999 Hurricane Floyda

Interpretation of a specific type of plume in the ancient record is impractical at present.


Northern Gulf of Mexico

Swirly (Fig. 27b)

Shelf (Marine)

2009 Tropical Storm Idaa

Interpretation of a specific type of plume in the ancient record is impractical at present.


Kalutara Beach, Sri Lanka, Arabian Sea

Bakwash (Shanmugam 2006b)


2004 Indian Ocean Tsunamia

Interpretation of a specific type of plume in the ancient record is impractical at present.


Greenland, Labrador Sea

Meltwater (NASA 2017)


Sublacial, meltwater (Chu 2014; see also Cuffey and Paterson 2010)

Interpretation of a specific type of plume in the ancient record is impractical at present.


The Great Bahama Bank, Atlantic Ocean

Whitings (NASA 2017)


Fish activities (Broecker et al. 2000); wind (Dierssen et al. 2009); florida current (Purkis et al. 2017)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Tagula Island, South Pacific Ocean

Ring (NASA 2017)


Coral reef (Khanna and Yadav 2008)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Egypt, Red Sea

Dust (NASA 2017)



Interpretation of a specific type of plume in the ancient record is impractical at present.


Yucatan Peninsula, Southern Gulf of Mexico

Feathery (NASA 2017)


Complex mix of sediment and plankton

Interpretation of a specific type of plume in the ancient record is impractical at present.


Paluweh Volcano, Indonesia, Indian Ocean

Volcanic ash (NASA 2017)



Interpretation of volcanic ash plume is possible.


Bogoslof Island, Bering Sea

Volcanic ash (NASA 2017)


Volcanic (Shipley and Sarna-Wojcicki 1982)

Interpretation of volcanic ash plume is possible.


Lake Michigan, USA

Tendril (Fig. 28b)



Interpretation of a specific type of plume in the ancient record is impractical at present.


Lake Erie, USA

Swirly (Fig. 28c)


Seiche (de Jong and Battjes 2004)

Interpretation of a specific type of plume in the ancient record is impractical at present.


Carolina Continental Rise, North Atlantic

Gas hydrate (Paull et al. 1995; see also Ruppel and Kessler 2017)


Pockmarked sea floor associated with active chemosynthetic biological communities

Interpretation of gas hydrate plume is possible.

aTransport of gravel, sand, and mud to deep-water environments by cyclone- and tsunami-related flows is possible

2 Basic concepts

In this review, which covers multiple disciplines (e.g., process sedimentology, physical oceanography, meteorology, hydraulic engineering, etc.), it is necessary to establish at the outset some basic concepts and related nomenclatures.

2.1 Hyperpycnite

As mentioned at the outset, the term “hyperpycnite” was introduced by Mulder et al. (2002) in an academic debate with me (Shanmugam 2002) on the origin of inverse grading by hyperpycnal flows. Mulder et al. (2002) attempted to differentiate “hyperpycnites” deposited by hyperpycnal turbidity currents from “classic turbidites” deposited from failure-related turbidity currents. The problem is that triggering mechanisms of turbidity currents (or any other process) cannot be determined from the depositional record (Shanmugam 2015, 2016a, 2016b, 2016c).

2.2 Continental margin

A basic conceptual framework is used in which a river mouth is located near the shoreline, whereas a submarine fan is located at the base of the continental slope, separated by a wide continental shelf (Fig. 3a). In order for river plumes to act as hyperpycnal flows and deliver sediment to the deep sea for developing submarine fans (Zavala and Arcuri 2016), hyperpycnal flows must travel 10s to 100s of kilometers across the shelf from their point of origin.

2.3 Plunge point

The term “plunge point” is used for both “plunging waves” and “plunging rivers”. According to the Glossary of Coastal Terminology (1998), a plunging wave is defined as the point at which the wave curls over and falls. According to Assireu et al. (2011), for plunging rivers, the plunge point is the main mixing point between river and epilimnetic reservoir. In other words, the point at which sediment-laden river flow plunges down into a standing body of water, be it a lake, a reservoir, or a sea. Plunging occurs very close to the shoreline in shallow water (Fig. 3b). In the Yellow River in China, for example, the plunge point occurs at 5 m of depth in the Bohai Bay (Wright et al. 1986). When a river flow crosses the plunge point at the river mouth, it transforms into a river plume of various densities, which include hyperpycnal plumes (Fig. 2c). At the plunge point, the river flow moves from a momentum-dominated type to a buoyancy-dominated type and marks the transition of an inflow to an underflow (Dallimore et al. 2004).

At the plunge point, the river has already dropped its coarse fractions (gravel and sand) upstream as delta-plain facies. The remaining fine fractions in muddy suspension move forward on the open shelf as hyperpycnal flows. Plunging would occur only if suspended sediment concentration in the river exceeds the critical value of 35−45 kg·m− 3 (Imran and Syvitski 2000; see Mulder et al. 2003 for differences in values between equatorial and subpolar rivers).

2.4 Plume versus flow

In practice, there is a tendency to equate the term “flow” with “plume”. These two terms are not one and not the same. In hydrodynamics, the term plume describes a condition when a column of one fluid moves through another fluid. To accommodate natural variability in plume types, a broad definition of plume is adopted in this article. Accordingly, a plume is a fluid enriched in sediment, ash, biological or chemical matter that enters another fluid. As it would be demonstrated later, there is a multitude of plume types in nature. Among them, the river plume is the most popular. NOAA Fisheries Glossary (2006, p. 42) defines a River Plume as “Turbid freshwater flowing from land and generally in the distal part of a river (mouth) outside the bounds of an estuary or river channel”.

However, the term “flow” is used for a continuous, irreversible deformation of sediment-water mixture that occurs in response to applied shear stress, which is gravity in most cases (Pierson and Costa 1987, p. 2). Not all plumes are flows. For example, floating hypopycnal plumes are not driven by gravity (Fig. 2a). However, both terms “flow” and “plume” are applicable to hypepycnal type. The other practice is to employ terms “overflow”, “interflow”, and “underflow” for hypopycnal, homopycnal, and hyperpycnal plumes, respectively. Again, the term flow is not appropriate for hypopycnal plume that is unaffected by gravity.

2.5 Types of river-mouth flows

In discussing river-mouth processes, geologists, geophysicists, and hydraulic engineers use process terms to represent hyperpycnal flows that are not consistent in meaning with each other, such as single-layer and multi-layer hyperpycnal flows (Fig. 4; see Section 3.5). For example, the following concepts and terms are used in the literature:
  1. 1)

    Density flow (Parker and Toniolo 2007).

  2. 2)

    Underflow (Wright et al. 1986).

  3. 3)

    Hyperpycnal flow (Bates 1953; Moore 1966).

  4. 4)

    Hyperpycnal underflow (Wright et al. 1986).

  5. 5)

    Hyperconcentrated flow (van Maren et al. 2009).

  6. 6)

    Low-density hyperpycnal plume (Wright et al. 1986).

  7. 7)

    High-density hyperpycnal plume (Wright et al. 1986).

  8. 8)

    High-turbid mass flow (Fan et al. 2006).

  9. 9)

    Supercritical hyperpycnal flow (Yang et al. 2017b).

  10. 10)

    Tide-modulated hyperpycnal flow (Fig. 4d) (Wang et al. 2010).

  11. 11)

    Cyclone-induced hyperpycnal turbidity current (Liu et al. 2012).

  12. 12)

    Buoyancy-dominated flow (Dallimore et al. 2004).

  13. 13)

    Hyperpycnal turbidity current (Plink-Björklund and Steel 2004).

  14. 14)

    Turbidity front (Framiňan and Brown 1996).

  15. 15)

    Turbidity current (Kostic and Parker 2003; Kostic et al. 2002; Lamb et al. 2010; Wright et al. 1986; Zavala and Arcuri 2016).

  16. 16)

    Multi-layer hyperpycnal flows (Morales de Luna et al. 2017).

Fig. 4
Fig. 4

Variable types of hyperpycnal flows. a Single-layer hyperpycnal flow, Yellow River, China. Color concentration = Suspended sediment concentration; h = Flow thickness; τt = Upper surface; τb = Bed shear stress. From Gao et al. (2015); b Bottom turbid layer with density and velocity stratification (i.e., debris flow with hydroplaning, red arrow added in this article, see text), Yellow River, China. Uw = Wave orbital velocity; Uc = Along shelf current magnitude; Ug = Velocity of gravity current; NWIW = Normal wind-induced wave velocity; TIW = Typhoon-induced wave. The red line represents the downslope variation trend of the bottom-turbid layer. From Gao et al. (2015) with additional labels; c Multi-layer hyperpycnal flow in numerical modeling (Morales de Luna et al. 2017). Note that multi-layer numerical modeling was also applied to hypopycnal flows. h = Height of a fluid layer; u = Velocity; ɸ = Particle concentration; ρ = Density. See Morales de Luna et al. (2017) for details of various parameters and related equations; d Tide-modulated hyperpycnal flow, Yellow River (Wang et al. 2010; modified after Wright et al. 1988), with permission from John Wiley and Sons. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258840606863. License Date: December 30, 2017. Color labels by G. Shanmugam. Note internal waves. Internal waves occur only along pycnoclines (Shanmugam 2013), but there is no indication of pycnoclines in this diagram

These 16 river-mouth processes, some with superfluous meanings, do not have a unifying principle of fluid dynamics as their foundation. It is confusing when geologists manufacture a plethora of superfluous names for a single process. In this tradition, the concept of “high-density turbidity currents” is the leader with 34 synonymous terms (Shanmugam 2006a).

2.6 River currents versus turbidity currents

The practice of equating subaqueous turbidity currents with subaerial river currents (Chikita 1989) is confusing for many reasons (Table 2). River currents and turbidity currents are fundamentally different, although both are turbulent in state (Middleton 1993). River currents are low in suspended sediment (1%−5% by volume; Galay 1987), whereas turbidity currents (i.e., low-density turbidity currents) are relatively high in suspended sediment (1%−23% by volume; Middleton 1993), although both currents are considered to be Newtonian in rheology (Table 2). River currents are fluid-gravity flows, whereas turbidity currents are sediment-gravity flows (Middleton 1993), which is the most important distinction. To reiterate, a turbidity current is a sediment flow with Newtonian theology and turbulent state in which sediment is supported by fluid turbulence and from which deposition occurs through suspension settling (Dott 1963; Middleton and Hampton 1973; Sanders 1965; Shanmugam 1996, 2006a; Talling et al. 2012). In addition, according to Bagnold (1962), typical turbidity currents can function as truly turbulent suspensions only when their sediment concentration by volume is below 9%. Therefore, river currents should not be equated with turbidity currents.
Table 2

Comparison of subaerial river currents and subaqueous turbidity currents (partly based on Shanmugam 1997)


River currents

Turbidity currents

Ambient fluid



Rheology of fluid



Type of gravity influence

Fluid gravity

Sediment gravity

Nature of flow

Uniform\steady\and continuous

Uniform\unsteady\and episodic

Sediment concentration

Low (1%−5% by volume)

High (1%−23% by volume)

Dominant transport of sand

Bed load

Suspended load

Dominant structures

Cross bedding

Normally graded bedding

In the 1930s, density currents (Daly 1936) and turbidity currents were considered to be one and the same. Since then, the domain of turbidity currents went through a remarkable period of revolution and evolution (Shanmugam 2016a). After 80 years of research, we have come full circle. Today, we once again consider density currents and turbidity currents to be one and the same. For example, Parker and Toniolo (2007, p. 690) defined a turbidity current as follows: “When the density difference is mediated by the presence of suspended mud in the water column of the river, the resulting underflow is termed a turbidity current”. However, the distinction is that all turbidity currents are density currents, but not all density currents are turbidity currents (e.g., thermohaline-density driven bottom currents or “contour currents” (Hollister 1967)). It should be reiterated that all hyperpycnal plumes are density plumes, but not all density plumes are hyperpycnal plumes (e.g., hypopycnal and homopycnal plumes). This confusion can be easily avoided by simply adhering to the established concepts available in sedimentologic literature (Bagnold 1962; Dott 1963; Middleton and Hampton 1973; Sanders 1965; Shanmugam 1996, 2006a, 2018c; Talling et al. 2012).

The first step in evaluating density plumes is to distinguish a “plume” from a “flow” and to differentiate a “river current” from a “turbidity current”.

2.7 Transformation of river currents into turbidity currents

Based on experimental (Kostic et al. 2002) and numerical simulation, Kostic and Parker (2003) suggested that river currents transform into turbidity currents at the plunge point (Fig. 3b). Because Kostic et al. (2002) used fresh water in their experiment as a standing body of water, care must be exercised in applying the experimental results (i.e., initiation of turbidity currents at the plunge point) to marine settings (sea or ocean), which is the focus of this article. There are concerns with the experimental/numerical model.
  1. 1)

    Average density of sea water at the surface is 1.025 kg·L− 1, whereas that of fresh water is 1.0 kg·L− 1 at 4 °C (39 °F). This density difference is crucial for understanding the generation of a density flow, such as the hyperpycnal flow.

  2. 2)

    No one has documented the transformation of river currents into turbidity currents at a shallow plunge point in modern marine environments.

  3. 3)

    These river-flow triggered turbidity currents in laboratory experiments, yet to be documented in modern marine settings, are muddy flows. Therefore, they are of no consequence in transporting sand and gravel across the continental shelf and deliver the sediment into the deep sea for developing submarine fans.

  4. 4)

    Importantly, not all density flows are turbidity currents. For example, although both debris flows and turbidity currents are considered to be density flows, each one can be distinguished from the other by fluid rheology and flow turbulence (Dott 1963; Sanders 1965). Such a distinction is not considered in defining hyperpycnal flows. Hyperpycnal flows are defined solely on the basis of fluid density. Therefore, it is misleading to equate turbidity currents with hyperpycnal flows (Kostic et al. 2002; Lamb et al. 2010; Steel et al. 2016; Zavala and Arcuri 2016).

  5. 5)

    Lamb et al. (2010) applied the numerical model in their experimental model for hyperpycnal flows with emphasis on marine environments (Fig. 3c). It is worth noting that Lamb et al. (2010) also used fresh tap water in their experiments for standing body of water. Therefore, their experimental results on hyperpycnal flows are applicable only to fresh-water lakes, but not to marine bodies of water (sea or ocean). In order for the experimental/numerical model to be applicable to marine settings, the model needs to be tested in the real world by documenting the transformation of river currents into turbidity currents in marine settings like the Yellow River in China (Wright et al. 1986) that plunges into the Bohai Bay (see Section 3).


2.8 Fine-grained deltas versus coarse-grained deltas

In the geologic and engineering literature, the focus of discussion on hyperpycnal flows is centered on fine-grained deltas or common deltas. McPherson et al. (1987) distinguished fine-grained deltas from coarse-grained deltas (Fig. 5). The importance here is that braid (braided) deltas, kind of coarse-grained deltas, are typical of high-gradient settings with high-velocity river flows (Fig. 5). Because these braided rivers plunge into a standing body of water with multiple entry points, separated by braided bars, these rivers develop linear hyperpycnal plumes (Fig. 6). Distinguishing linear types is important because braid deltas are known to develop various types of sediment flows, including debris flows, in the subaqueous delta fronts (McPherson et al. 1987). At present, coarse-grained deltas are totally ignored in studying hyperpycnal flows. As a consequence, all published examples of hyperpycnal lows are from fine-grained deltas, such as the Yellow River delta in China.
Fig. 5
Fig. 5

A comparison of coarse-grained deltas and fine-grained deltas based on distributary-channel patterns and stability, sediment load and size, stream gradient and velocity, and other properties. Fan-deltas and braiddeltas are coarse-grained deltas that contrast in shape, size, and composition with fine-grained deltas (common deltas). From McPherson et al. (1987)

Fig. 6
Fig. 6

Braid delta from Chignik Lake, southeastern coast, Alaska, showing multiple entry points with shooting “linear” hyperpycnal plumes into a standing body of water. Photo courtesy of R.D. Kreisa. From McPherson et al. (1987)

3 The Yellow River, China

The Yellow River, which is the second largest river in China, is regarded as the world’s largest contributor of fluvial sediment load to the ocean (Yu et al. 2011). Historically, it contributed a sediment load of nearly 100 million tons per year (Milliman 2001). The Yellow River’s average annual suspended-load concentration of 25,000 mgL− 1 and flood stage concentration of 220,000 mgL− 1 are the largest in the world by 1983 (Milliman and Meade 1983). In September 1995, a cruise was undertaken to detect hyperpycnal flows off the Yellow River mouth (Wang et al. 2010). During the cruise (18–19 September), daily suspended sediment concentration (SSC) was close to 50 kgm− 3 and daily average stream discharge was 2000 m3s− 1. The critical concentration of suspended sediment ranges from 36 kgm− 3 to 43 kgm− 3 for coastal waters depending on local salinity, temperature and climatic conditions (Mulder and Syvitski 1995).

The Yellow River drains through that part of the world that is covered by extensive soft and easily erodible, wind-transported, loess deposits in China (Fig. 7a). The loess is intensively eroded during the monsoon rains, generating unusual suspended particle concentration at the Yellow River mouth, which generates hyperpycnal flows (Wright et al. 1986, 1990). Because the Yellow River is an ideal river for generating hyperpycnal flows, I focus attention on this river, which is rich in empirical data (Fig. 7).
Fig. 7
Fig. 7

Data from the Yellow River. a The course of the Yellow River draining the loess plateau before entering the Bohai Bay. Note river mouth is highlighted by blue open circle. Note Yangtze River mouth (blue curcle) in the East China Sea. Image from Wang et al. (2006), with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258880251701. License Date: December 30, 2017. Additional labels by G. Shanmugam; b Flow types and their nomenclature used for the Yellow River; c Relevant data of the Yellow River; d Empirical and numerical data on tidal shear front and on tidal currents for the Yellow River. See Bi et al. (2010) and Wang et al. (2008)

3.1 Delta versus estuary

One confusing aspect of the Yellow River literature is that some authors refer to the river mouth as a “delta” (Gao et al. 2014; Wang et al. 2017; among many others), whereas others refer to it as an “estuary” (e.g., Hu et al. 1998; Wang and Wang 2010). The distinction between a delta and an estuary is not trivial (Dalrymple 1992; Dalrymple et al. 1992; Shanmugam et al. 2000). The Yellow River cannot be both a delta and an estuary at the same time. According to the Oxford Dictionaries (2018), the term “estuary” is derived from a mid sixteenth century Latin word “aestuarium” meaning tidal part of a shore (‘estus’ = ‘tide’).

Fairbridge (1980) defined an estuary as “an inlet of the sea reaching into a river valley as far as the upper limit of tidal rise”. Whether the Yellow River is a delta or an estuary is important here because estuaries are not ideal candidates for transporting hyperpycnite sediments offshore. This is because of ebb and flood tides and their bidirectional currents. In this study, the Yellow River is considered to be a river-dominated delta with tidal influence.

3.2 Bathymetry

Wang et al. (2017) obtained bathymetric data for the Yellow River and the western Laizhou Bay for the years 1976, 1980, 1985, 1991, 1996 and 2012, and presented maps with a spatial resolution of 300–500 m (Fig. 8). Maps show a clear change in bathymetry in front of the river mouth because of the change in river course. The change in river course from an abandoned south-flowing old river (1976–1996) to the modern north-flowing river was illustrated by Wang et al. (2015, their Figs. 1 and 2e–f). Changes in river-mouth bathymetry are a reflection of chages in river courses and related types of sediment plumes.
Fig. 8
Fig. 8

Maps showing changes in bathymetry of the Yellow River Delta through time. Note changes in shallowest (red) areas surrounding the river mouth within the circle. The old Yellow River course that existed during 1976−1996 was abandoned and a modern river course was established since 1996 (Wang et al. 2015, their figure 1). Note a slight protrusion to the north in red area (arrow) for the year 1996 caused by the change in river course (see Fig. 2e). Images from Wang et al. (2017), with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258871156757. License Date: December 30, 2017. Additional labels by G. Shanmugam

3.3 River-mouth processes

Wright et al. (1986) were the first authors to investigate hyperpycnal flows at the Yellow River mouth. Because the turbidite paradigm was in full force during the 1970s and 1980s, Wright et al. (1986) emphasized the similarity between hyperpycnal flows and turbidity currents. As discussed earlier, turbidity currents are defined on the basis of fluid rheology, flow state, and sediment concentration, whereas hyperpycnal flows are defined solely on fluid density.

The following is a compilation of types of flows that have been used for the Yellow River.
  1. 1)

    Hyperpycnal underflow (Wright et al. 1986).

  2. 2)

    Low-density hyperpycnal plume (Wright et al. 1986).

  3. 3)

    High-density hyperpycnal plume (Wright et al. 1986).

  4. 4)

    Tide-modulated hyperpycnal flow (Wang et al. 2010).

  5. 5)

    Hyperconcentrated flow (van Maren et al. 2009).

  6. 6)

    High-turbid mass flow (Fan et al. 2006).

  7. 7)

    Turbidity current (Wright et al. 1986).


Clearly, there is no consistency in term of fluid dynamics. From a practical point of view, none of these publications discusses the depositional characteristics of various types of hyperpycnal flows.

3.4 Bottom-turbid layers

Wright et al. (2001) suggested the influence of ambient currents and waves on gravity-driven sediment flows, which are different from hyperpycnal flows. In this context, Gao et al. (2015) suggested that the Yellow River has undergone a regime shift in response to resuspension induced by tidal currents and waves. This shift has presumably resulted in the replacement of hyperpycnal flows by bottom-turbid layers. The difference between the two is that hyperpycnal flows behave as a single layer without vertical stratification in density or velocity (Fig. 4a), whereas bottom-turbid layers reveal vertical stratification in density and velocity (Fig. 4b). Such a vertical stratification in bottom-turbid layers is similar to the concept of “high-density turbidity current” (Postma et al. 1988, their Fig. 2). The problem here is that stratified high-density turbidity currents are sandy debris flows because of their basal plastic layers induced by high sediment concentration (Shanmugam 1996). In support of a debris flow, Gao et al. (2015, their Fig. 5b) depicted a “detached point” where the flow front is lifted up from the seafloor (Fig. 4b, the red arrow). This phenomenon is identical to the experimental debris flow with a detached and lifted-up front due to hydroplaning (Mohrig et al. 1998, their Fig. 3; see also Shanmugam 2000, his Fig. 15). Although clearly implied, Gao et al. (2014, 2015) did not cite the pioneering work of Mohrig et al. (1998) on hydroplaning.

3.5 Multi-layer hyperpycnal flows

Morales de Luna et al. (2017) simulated numerically a multi-layer model for hyperpycnal flows on theoretical/mathematical basis (Fig. 4c). By contrast, Gao et al. (2015, their Fig. 5a) considered hyperpycnal flows as a single-layer phenomenon on the empirical basis (Fig. 4a). The problem is that no one has ever documented multi-layer hyperpycnal flows in natural environments. Another problem is that Morales de Luna et al. (2017) have applied the multi-layer model to both hyperpycnal and hypopycnal plumes. Such applications of numerical modeling to both types of density plumes raise the question on the validity of numerical modeling when there are no empirical bases for the existence of multi-layer hyperpycnal flows in nature. This numerical approach is akin to inventing medicine for a hypothetical disease that does not exist.

3.6 Tide-modulated hyperpycnal flows

The term “tide-modulated hyperpycnal flow” (Fig. 4d; Wang et al. 2010) is confusing. The reason is that hyperpycnal flows are unidirectional (i.e., travel seaward), whereas tidal currents are bidirectional (i.e., travel both seaward (ebb tide) and landward (flood tide)). In this scenario, it is incongruous to mix tidal currents with hyperpycnal flows in the same nomenclature. In maintaining clarity, any current generated by tides should be called a tidal current.

3.7 Internal waves

Wang et al. (2010; see also Wright et al., 1986) suggested internal waves but did not provide empirical evidence for internal waves at the mouth of the Yellow River (Fig. 4d). Internal waves are a complicated oceanographic phenomenon (Shanmugam 2013). For example, internal waves occur only along pycnoclines (Shanmugam 2013), but there is no evidence of pycnoclines at shallow depths where hyperpycnal plumes develop in front of the Yellow River.

In summary, publications on the river-mouth processes of the Yellow River have perpetuated unnecessary conceptual problems by proposing complex processes without empirical basis.

3.8 Velocity measurements

In their study on the Yellow River, Wright et al. (1990) reported that strong (1 ms− 1) parabathic tidal currents resuspended newly deposited muds and advected them alongshore. It appears that tidal currents are more powerful than hyperpycnal flows. The velocity values used in numerical modeling studies are from tidal currents (e.g., Wang et al. 2010). Disappointingly, there are no empirical data on velocity measurement of hyperpycnal flows from the Yellow River mouth (Wright et al. 1986).

3.9 Tidal shear front

Perhaps the most significant contribution on the dynamics of the Yellow River sedimentation is pertaining to the recognition of tidal shear front (Fig. 9a). Li et al. (2001), based upon in-situ measurements and Landsat scanning images, studied spatial–temporal changes in the shear front and associated sedimentation in the subaqueous delta slope of the Yellow River. The results showed that the shear front is an important dynamic factor in controlling rapid accretion at the Yellow River mouth. Suspended sediment converges and is deposited rapidly along the shear front zone. This is because a low-velocity zone is formed between two inverse flow bodies.
Fig. 9
Fig. 9

Tidal shear front. a Satellite image showing the sediment dispersal pattern at the Yellow River mouth and estimated mean depth-integrated sediment flux at six stations in 1995 cruise. Note a tidal shear front (white dashed line); b Distributions of bulk density along a transect through the six stations on 18 September 1995, demonstrating the spatial pattern of a flow extending seaward beneath the ambient sea water. Both from Wang et al. (2010), with permission from John Wiley and Sons. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258840606863. License Date: December 30, 2017. Additional labels by G. Shanmuagam

Qiao et al. (2008), by combining a three-dimensional tidal front numerical model and a sediment transport module, explained the formation of a tidal shear front that occurs off the Yellow River mouth. Wang et al. (2010) documented the position of the tidal front about 5 km seaward off the Yellow River mouth (Fig. 9a) and explained the tide-induced density flows on the shelf (Fig. 9b). The importance of these numerical experiments is that the topography with a strong slope off the Yellow River mouth was a determining factor on the generation of a shear front.

The sedimentologic implication of the shear front is that it limits seaward transport of sediments (Li et al. 2001; Qiao et al. 2008; Wang et al. 2007, 2010, 2017). If so, the extent of sediment transport into the deep sea by hyperpycnal flows comes into question. In other words, the entire concept of hyperpycnal flows transporting sediment into the deep sea (Mulder et al. 2003; Steel et al. 2016; Warrick et al. 2013; Zavala and Arcuri 2016) is unsupported by the Yellow River, which is considered to be a classic river for hyperpycnal flows.

3.10 M2 tidal dynamics in Bohai and yellow seas

Wiseman et al. (1986) were one of the early workers who recognized the importance of M2 tidal constituents in the Bohai Sea. Yao et al. (2012) conducted a modeling study of M2 tidal dynamics in understanding the regional tidal mixing and tidal residual currents. There are four regions of low values of log10(h/U3): The inner shelf of Seohan Bay, Kyunggi Bay, the shelf area off the southwest Korean peninsula, and the China shelf area between 34°N and 35°N (Fig. 10a). All these mixing zones are confined in the Yellow Sea (Fig. 10a). Inside the Bohai Sea, strong residual currents are seen off the Yellow River mouth (Fig. 10b), near Liaodong Bay and north of the Bohai Strait (Fang and Yang 1985). From the above empirical and numerical data, it is clear that the Yellow River mouth is part of a regional tidal setting that comprises both Bohai Sea and Yellow Sea (Fig. 10).
Fig. 10
Fig. 10

Tidal data. a Tidal mixing parameter log10(h/U3) for M2 tidal currents, where h is the local water depth in meter and U is the depth-averaged tidal velocity in meter per second. Solid, white contour lines indicate log10(h/U3) = 2.0, which defines tidal mixing fronts at four locations: (1) the inner shelf of Seohan Bay, (2) Kyunggi Bay, (3) the shelf area off the southwest Korean peninsula, and (4) the China shelf area between 34°N and 35°N; b Map showing depth-averaged M2 residual currents. Note strong residual currents are seen off the Yellow River mouth. The tidal residual vectors are plotted every 5 grid points. M2 (period: 12.42 h): Main lunar semidiurnal constituent (see Shanmugam 2012, Appendix A for explanations of tidal constituents). Both figures are from Yao et al. (2012), with permission from Springer Nature. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258870031080. License Date: December 30, 2017. Additional labels by G. Shanmuagam

In summary, hyperpycnal flows are not simple processes that begin their journey at plunge points, transporting sediment across the shelf, and end up in the deep sea. They are invariably affected by external controls (see Section 5). For example, the acute impact of tidal currents on hyperpycnal flows is well documented in the next case study, which is the Yangtze River.

4 The Yangtze River, China

4.1 Hyperpycnal and hypopycnal plumes

The Yangtze River is the longest river (about 6,300 km) in Asia. Satellite images show that the Yangtze River generates both hyperpycnal and deflected hypopycnal plumes (Fig. 11a). The Yangtze River mouth is a complex setting in which both ocean currents and tidal currents are affecting sediment dispersal.
Fig. 11
Fig. 11

Data from the Yangtze River. a Satellite image showing the Yangtze River plunging into the East China Sea. Note development of both hyperpycnal plume (yellow color due to high sediment concentration) near the river mouth and hypopycnal plume (blue color due to low sediment concentration) on the seaward side. Note deflected hypopycnal flows that move southward (white arrow), possibly due to modulation by south-flowing shelf currents. In a recent study, Luo et al. (2017) recognized that extended and deflected density plumes (white arrow) tend to develop during winter months, which are absent during the summer months. Note sheet-like mud belt developed along the inner shelf due to contour-following shelf currents. White dashed circle = River mouth. See Fig. 12a for the river course; see also Fig. 7a. River image credit: NASA Visible Earth, Jacques Descloitres, MODIS Land Science Team. Image acquired on September 16, 2000. Instrument: Terra-MODIS; b Map showing warm Kuroshio Current (KC) in the East China Sea and Yellow Sea. TWC = Taiwan Warm Current; YSWC = Yellow Sea Warm Current; ZFCC = Zhejiang−Fujian Coastal Current; JCC = Jiangsu Coastal Current. Blue circles: Yangtze and Yellow River mouths. From Liu et al. (2006) with additional labels by G. Shanmugam; c Conceptual model of sedimentary and oceanographic processes affecting the sediment dispersal at both subaqueous delta and alongshore deposits associated with the Yangtze River. From Liu et al. (2006) with additional labels by G. Shanmuagm. Both B and C figures with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258820168883. License Date: December 30, 2017

4.2 Ocean currents

Unlike the Yellow River that enters a protected Bohai Bay from major ocean currents, the Yangtze River enters the East China Sea affected by the warm, north-flowing Kuroshio Current (Fig. 11b). As a consequence, muddy sediments brought by the Yangtze River are redistributed and deposited as a mud belt on the inner shelf (Wu et al. 2016). This mud belt is evident on the satellite images (Fig. 11a). This mud belt is distinctly different from the fan-shaped or lobate deposits of hyperpycnal flows associated with the Yellow River (Fig. 2e). Liu et al. (2006) proposed a sediment dispersal model by ocean currents for sediments supplied into the East China Sea by the Yangtze River (Fig. 11c). Ocean currents are a global phenomenon (Talley 2013) with implications for sediment distribution in the world’s oceans (Shanmugam 2017b).

4.3 Tidal river dynamics

Similar to the Yellow River, both terms “delta” and “estuarine” are used for the Yangtze River mouth (e.g., Liu et al. 1992). However, evidence for a tide-dominated estuary is compelling.

Hoitink and Jay (2016) reviewed tidal river dynamics of the world’s rivers and classified the Yangtze as a “tidal river”.

Guo et al. (2015) documented that the tidal influence (salt-wedge intrusion) can extend to Datong, which is 650 km upstream from the river mouth (Fig. 12a).
Fig. 12
Fig. 12

Tidal data. a The Yangtze River estuary and the location of the tidal gauge stations (red filled circles). The numbers in brackets are distance downward from Datong station (Red triangle). Datong is the maximum limit of salt-wedge intrusion, which is 650 km. From Guo et al. (2015) with additional labels by G. Shanmugam. See also other studies on the limit of tidal influence (Chen et al. 2007; Zhang et al. 2012, 2017); b Geometry and bathymetry of the Yangtze Estuary in 1997 showing river-mouth bars. Such sand bars are typical of tide-dominated estuarine systems (see Dalrymple 1992; Dalrymple et al. 1978, 1992; Shanmugam et al. 2000). From Guo et al. (2014) with additional labels by G. Shanmugam; c Discharge of the Yangtze River for 2009 and 2010 at the head of the tide at Datong; d Simultaneous water levels at Datong, Nanjing, Zhenjiang (decreased by 2 m), Jiangyin (decreased by 4 m), Xuliujing (decreased by 7 m), and Niupijiao (decreased by 11 m). The red lines indicate the daily (24 h) averaged mean water levels (MWL). Note the positive correlation between discharge and MWL in July at Datong. Both C and D from Guo et al. (2015) with additional labels by G. Shanmugam; ef Diagram showing a river entering an ocean with three zones of interest: A normal flow area, where depth is constant along the channel, a transition zone where mean sea level influences river depth, and the offshore river plume in e cross section and f plan view. At low flow, the transitional region is a zone of backwater, where the water depth at the shoreline (hs) is greater than the normal flow depth (hn), and the water surface (blue) and bed (black) diverge downstream, resulting in deceleration (shown by length of arrows) and deposition. At high flow hn > hs, the water surface (red) is convex, resulting in spatial acceleration of flow and erosion. In both cases, the elevation of the water surface at the river mouth is relatively insensitive to discharge due to lateral spreading of the plume. Adopted from Lamb et al. (2012), after Lane (1957), U.S. Army Corps of Engineers. Caption by Hoitink and Jay (2016)

Guo et al. (2014) documented river-mouth bars (Fig. 12b) that are analogous to tidal sand bars (Dalrymple et al. 1990). Liu et al. (1992) reported the development of estuarine sand bars. In support of this observation, a 1997 bathymetric map reveals river-mouth bars, mimicking tidal sand bars typical of tide-dominated estuaries (see Dalrymple et al. 1990; Shanmugam et al. 2000).

Guo et al. (2015) documented the changes in mean water level at Datong with respect to discharge associated with tides (Fig. 12c).

Tides in the Yangtze River Estuary are semidiurnal with the average tidal range of 2.76 m and the maximum of 4.62 m (Lu et al. 2015) or 5.0 m (Chen et al. 1998).

Tidal flow velocity at the river mouth was measured to be 1 ms− 1 (Milliman et al. 1985).

Hori et al. (2002) proposed a tide-dominated delta with sand–mud couplets and bi-directional cross laminations for the Yangtze Holocene succession.

The differences between a common river and a tidal river affect sedimentation at plunge points (Fig. 12d). For example, unlike river-dominated deltas with unidirectional sediment transport (i.e., seaward), tide-dominated estuarine systems are prone to bidirectional transport of sediment (i.e., both seaward and landward) (Dalrymple 1992; Dalrymple et al. 1992). Under such conditions, the idea of sediment transport by hyperpycnal flows from the river mouth to the deep sea, traveling across the shelf, is misleading.

Although both the Yellow and the Yangtze Rivers develop hyperpycnal lows at their river mouths, transport of hyperpycnal sediments from the river mouth to the deep sea has been blocked or diverted by different external controls, such as tidal shear front and ocean currents (Fig. 13). This important oceanographic control has been overlooked in studies of hyperpycnites (e.g., Zavala and Arcuri 2016). In this review, 15 external controls have been identified from global case studies (see Section 5).
Fig. 13
Fig. 13

Comparison of conceptual diagrams showing differences in depositional models between a the Yellow River and b the Yangtze River. Note external controls on the distribution of muddy hyperpycnites. In the Yellow River, a tidal shear front prevents seaward transport of sediment. In the Yangtze River, ocean currents deflect plumes and deposit them as inner-shelf mud belt

5 External controls

External controls are allogenic in nature, which are external to the depositional system, such as uplift, subsidence, climate, eustacy, etc. However, external controls of density plumes are much more variable and include some common depositional processes (e.g., tidal currents). At least, 15 external controls of plumes have been recognized in this review (Table 1):
  1. 1)

    Tidal shear front (Fig. 9): The Yellow River (Wang et al. 2010).

  2. 2)

    Ocean currents (Fig. 11): The Yangtze River (Liu et al. 2006).

  3. 3)

    Tidal currents (Table 1): San Francisco Bay (Barnard et al. 2006; NASA 2017).

  4. 4)

    Monsoonal currents (Jagadeesan et al. 2013).

  5. 5)

    Wave action (Hawati et al. 2017).

  6. 6)

    Cyclones (Table 1): Gulf of Mexico; U.S. Atlantic shelf (Shanmugam 2008a, 2008b).

  7. 7)

    Tsunamis (Table 1): Sri Lanka, Arabian Sea (Shanmugam 2006b).

  8. 8)

    Braid delta and related high gradients and coarse sediments (Fig. 6): Alaska, Pacific Ocean (McPherson et al. 1987).

  9. 9)

    Seiche in lakes (Table 1): Lake Erie (NASA 2017). Seiche is a large standing wave that occurs when strong winds and a quick change in atmospheric pressure push water from one end of a body of water to the other. de Jong and Battjes (2004) discussed the atmospheric origin of seiche.

  10. 10)

    Upwelling (Table 1): Off Namibia (Shillington et al. 1992).

  11. 11)

    Fish activity (Table 1): The Great Bahama Bank (Broecker et al. 2000).

  12. 12)

    Volcanic eruptions (Table 1): Bering Sea (NASA 2017).

  13. 13)

    Coral reef (Table 1): South Pacific Ocean (NASA 2017).

  14. 14)

    Pockmarks: Carolina Continental Rise, North Atlantic Ocean (Paull et al. 1995).

  15. 15)

    Internal waves and tides (Masunaga et al. 2015).


I have discussed the importance of external controls, such as tidal shear front and ocean currents earlier. Future studies should consider external controls in developing meaningful depositional models.

6 Recognition of ancient hyperpycnites

Recognition of ancient hyperpycnites is rare. However, there are studies that claim that hyperpycnites can be recognized using various criteria. In the following discussion, problems associated with recognizing ancient hyperpycnites are identified.

6.1 The hyperpycnite facies model

Mulder et al. (2003) proposed a facies model for hyperpycnites (Fig. 14a). This model is based on a hypothesis that hyperpicnite facies is a function of the magnitude of the flood at the river mouth. According to this hypothesis, hyperpycnites accurately record the rising and falling discharge of a flooding river in terms of sediment-size, inverse grading to normal grading in ascending order (Fig. 14a), primary sedimentary structures, bed thickness, and erosional contacts. Mulder et al. (2003) were the first authors to propose a facies model with an internal erosional surface (Fig. 14a).
Fig. 14
Fig. 14

Facies models and features. a Hyperpycnite facies model showing inverse to normal grading with erosional contact in the middle. From Mulder et al. (2003) with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258800893183. License Date: December 30, 2017. Color arrowheads and color labels by G. Shanmugam; b An ancient example from China interpreted as a hyperpycnite showing inverse to normal grading with an internal erosional surace. The presence of an internal erosional surface within a single depositional unit by a single flow is antithetical to basic principles of stratigraphy and sedimentation (Krumbein and Sloss 1963). The reason is that the presence of an internal erosional surface suggests that the lower inverse grading and the upper normal grading divisions were deposited by two different events, separated by a hiatus. From Yang et al. (2017a) with additional labels by G. Shanmugam; c Profile of the Yellow River Delta (Diaokou Lobe) showing distribution of deltaic facies. From Gao et al. (2014). Note that these facies resembles those of the Mississippi River deltaic facies (Coleman and Prior 1982)

In testing Mulder et al. (2003) hypothesis, Lamb et al. (2010) conducted laboratory flume experiments and concluded that the hypothesis is unsupported by experimental results. Furthermore, Clare et al. (2016) reported that the largest river discharges did not create hyperpycnal flows based on field monitoring of the Squamish Delta, British Columbia, Canada during 2011, thus disputing the hypothesis.

Although ichnological signatures (i.e., bioturbation and trace fossils) are claimed to be characteristic features of hyperpycnites (Buatois et al. 2011) and contourites (Stow and Faugères, 2008), skepticism about these claims exists (Shanmugam, 2002, 2018d).

6.2 Inverse to normal grading

Following the concept of Mulder et al. (2003), Wilson and Schieber (2017) and Yang et al. (2017a) recognized ancient hyperpycnites based on inverse to normal grading. However, the origin of inverse grading by waxing flows is an unresolved issue (Shanmugam 2002). For example, mechanisms which are commonly used to explain inverse grading are (1) dispersive pressure, caused by grain-to-grain collision which tends to force larger particles toward the zone of least rate of shear (Bagnold 1954), (2) kinetic sieving, by which smaller particles tend to fall into the gaps between larger particles (Middleton 1967), and (3) the lift of individual grains towards the top of flow with lower pressures (Fisher and Mattinson 1968). Nevertheless, Mulder et al. (2001) did not consider any of these alternative mechanisms.

Yang et al. (2017a) recognized normal grading in the Triassic Yanchang Formation in the Ordos Basin, Central China, and interpreted normal grading as hyperpycnite (Fig. 14b). However, normal grading in the Yanchang Formation was previously interpreted as turbidites (Zou et al. 2012).

Wilson and Schieber (2014, 2017) described a muddy unit with normal to inverse grading in ascending order from the Devonian Lower Genesee Group, Central New York, which they interpreted as hyperpycnites. These muddy units were previously interpreted as turbidites by other researchers. Muddy turbidity currents and hyperpycnal flows are one and the same, according to some authors (see Kostic and Parker 2003; Lamb et al. 2010). As explained earlier, it is wrong to equate hyperpycnal flows with turbidity currents on fluid dynamical principles (see Section 2).

6.3 Internal erosional surface

Following Mulder et al. (2003), Yang et al. (2017a) claimed that internal erosional surfaces, which occur between basal inversely graded layer and upper normally graded layer, are the diagnostic criteria of hyperpycnites (Fig. 14b). Conventionally, a genetic facies model is designed for a single depositional event, without internal hiatuses. A classic example is the turbidite facies model or the “Bouma Sequence” (Bouma 1962). In fact, Walther’s Law (Middleton 1973) is not meaningful for sequences with internal hiatuses. This is because a hiatus can represent a considerable span of time (spanning millions of years) that is missing along an erosional surface (Howe et al. 2001). Therefore, it is sedimentologically meaningless to relate layers above and below an erosional surface, with a break in deposition in the middle, to the same process (Fig. 14b). Yang et al. (2017a) are not the only group of authors who promote this flawed concept (there are others, e.g., Wilson and Schieber 2017).

Importantly, no one has reproduced the entire inverse- to normally-graded sequence with internal erosional surface (i.e., the hyperpycnite facies model) in laboratory flume experiments; nor has anyone documented this sequence from modern settings. The conceptual hyperpycnite model exists only in theory in publications, not in the real-world sedimentary record.

6.4 Traction structures

Wilson and Schieber (2014, 2017) interpreted traction structures in mudstone as hyperpycnites. Traction structures are characteristic attributes of bottom currents reworking by contour currents, tidal currents, wind-driven currents, and baroclinic currents (Hollister 1967; Martín–Chivelet et al. 2008; Shanmugam 2008b, 2013, 2016b, 2017b; Shanmugam et al. 1993). Mutti (2009) attributed the origin of hummocky cross-stratification (HCS), normally associated with storm deposits, to deposition by hyperpycnal flows. Gao et al. (2014) studied the modern Yellow River Delta and proposed a facies distribution (Fig. 14c). The Yellow River Delta model exhibits many attributes of the classic Mississippi River Delta (Coleman and Prior 1982), including traction currents. In summary, there is a wide range of opinions in interpreting traction structures.

Distinguishing hyperpycnites from bottom-current deposits that are ubiquitous in the world’s oceans is a challenge. In particular, contourites are of importance (Hollister 1967; Rebesco and Camerlenghi 2008). The generation of thermohaline-induced density flows is similar to that of hyperpycnal flows. For example, the deep-water masses in the world’s oceans are caused by differences in temperature and salinity. When sea ice forms in the polar regions due to freezing of shelf waters, sea water experiences a concurrent increase in salinity due to salt rejection and a decrease in temperature. The increase in the density of cold saline (i.e., thermohaline) water directly beneath the ice triggers the sinking of the water mass down the continental slope and the spreading of the water masses to other parts of the ocean. These are called thermohaline water masses and are akin to hyperpycnal flows due to their excess density. It is worth noting that facies models of both contourites (Stow and Faugères 2008) and hyperpycnites (Fig. 14a) exhibit inverse to normal grading in ascending order and both have internal hiatus (Shanmugam 2016b, his Fig. 9.19).

6.5 Massive sandstones

Massive sandstones, considered to be a recognition criteria for hyperpycnites (Steel et al. 2016; Zavala and Arcuri 2016), are not unique to deposits of hyperpycnal flows. There are alternative processes that can equally explain the origin of massive sands. Flume experiments, carried out at the St. Anthony Falls Laboratory of the University of Minnesota in Minneapolis during 1996–1998, demonstrated that massive sands can be deposited by a sudden freezing of sandy debris flows (Shanmugam 2000, his Fig. 18a; Marr et al. 2001, their Fig. 7). In discussing hyperpycnites, Steel et al. (2016, p. 1720) stated that “Although scattered shelf-derived shell fragments suggest an initially turbulent hyperpycnal flow, abrupt lobe terminations, lack of tractional structures, and convolute bedding from rapid dewatering indicate en masse deposition”. En masse deposition is typical of debris flows (Dott 1963; Enos 1977; Hampton 1972; Johnson 1970; Middleton and Southard 1977; Shanmugam and Benedict 1978; Takahashi 1981). In their global study, Stow and Johansson (2000) attributed the origin of massive sands to sandy debris flows and high-density turbidity currents.

In their experimental study, Breien et al. (2010) demonstrated that massive sands can be deposited by laminar sediment flows. The massive sands in their experiments represent deposition from a “fluidized segment” of the flow. Breien et al. (2010, p. 977) considered fluidization as “…a mechanism where the mass moves like a fluid, and as the particles settle due to gravity, the pore fluid is displaced upwards, thus providing further grain support”. Steel et al. (2016) indeed reported that there is evidence for dewatering in the cores; so fluidization is a viable explanation for at least some of the cored intervals studied by Steel et al. (2016).

Conventionally, massive sand intervals are interpreted as the Bouma Ta division of a turbidite bed (Middleton and Hampton 1973). The Ta division has also been attributed to deposition from sandy debris flows (Shanmugam 1997). In summary, interpreting massive sands is one of the most controversial topics in sedimentology.

6.6 Lofting rhythmites

Zavala and Arcuri (2016, their Fig. 18), in justifying their criteria for recognizing hyperpycnites, presented a core photograph showing rhymites, which they called “lofting rhythmites”. The core photograph is from the modern Orinoco Fan, off Orinoco Delta in Eastern Venezuela (their Fig. 15). Such rhythmites are common in deep-water tidal deposits (Cowan et al. 1998; Shanmugam 2003). The Orinoco Delta is a classic tide-dominated delta (Chen et al. 2014). Tidal range at coast in the Orinoco Delta area is 2.6 m (Warne et al. 2002). Tidal rhythmites have been documented from the Orinoco Delta (Chen et al. 2017). It is common for tidal rhythmites to occur both at shallow-water and at deep-water environments in a tidal setting, such as the Oriente Basin, Ecuador (Shanmugam et al. 2000) and the Krishna-Godavari Basin, Bay of Bengal (Shanmugam et al. 2009). This is because tidal currents operate in both shallow-water and deep-water environments concurrently (Boyd et al. 2008; Shanmugam et al. 2009; Shepard et al. 1979). Importantly, tidal rhythmites can be explained by empirical data on daily tidal cycles (Visser 1980). Zavala and Arcuri (2016) did not consider alternative tidal origins for the Orinoco fan deposits with rhythmites.

6.7 Plant remains

Plant remains have been used as a criterion for recognizing hyperpycnites (Zavala and Arcuri 2016). The problem is that shelf currents operate on many continental margins. For example, Imran and Syvitski (2000) studied the Northern California Margin near the mouth of the Eel River and suggested that hyperpycnal flows may be influenced by the along-shelf currents and be deflected northward away from the canyon. Under such conditions, shelf currents can carry the plant remains away from the river mouth, and supply them to a site of initiation of “classic” turbidity currents near canyon heads. Such shelf-current transported plant remains would result in erroneous recognition of hyperpycnites in the deep sea. Saller et al. (2006) interpreted leaves in deep-water turbidites. Also, tidal currents are important in transporting plant remains. Abundant coaly carbonaceous fragments have been reported in deep-marine lithofacies with double mud layers, typical of tidal rhythmites (Visser 1980), from a Pliocene submarine canyon in the Krishna-Godavari Basin, Bay of Bengal (Shanmugam et al. 2009).

In addition to shelf currents and tidal currents, wind is a common factor that influences sediment transport in coastal areas. The movement of sediment has been basically triggered by breaking waves. This factor coupled with the geographic location of certain countries like Indonesia where not only plant remains are abundant but also the region is affected by extreme monsoonal winds. For example, at Coastal Region of Timbulsloko Demak in Indonesia, maximum speed of wind can reach at 23 knots (11.83 ms− 1) from December to February, wind direction predominantly from North−West direction. Correlation between breaking waves and sediment transport is linear (Hawati et al. 2017). McGowen et al. (1977) documented the role of longshore currents in the Gulf Shoreline of Texas in transporting sediment of all sizes.

I already discussed the effects of warm ocean currents in redistributing hyperpycnites along the inner shelf of the East China Sea (Fig. 11b). In light of these oceanographic factors, plant remains are not a viable criterion for recognizing hyperpycnites.

7 Submarine fans

Bouma et al. (1985) documented characteristics of both modern and ancient submarine fans. Various aspects of submarine fans were also discussed by other authors (Mutti 1992; Shanmugam and Moiola 1988; Shanmugam 2016a). Conventionally, submarine fans were related to deposition from turbidity currents (Mutti 1992). Recently, origin of submarine fans have been attributed to hyperpycnal flows (Warrick et al. 2013; Zavala and Arcuri 2016).

7.1 Classification

Zavala and Arcuri (2016) proposed two types of hypothetical hyperpycnal flows, namely, sandy and muddy types (Fig. 15). In this classification, the lofting plume (i.e., positively buoyant) in sandy hyperpycnal flows is of significance. Similar lofting models were also proposed by Steel et al. (2016).
Fig. 15
Fig. 15

Hypothetical sandy and muddy hyperpycnal flows and their related deposits. The theoretical concept of sandy hyperpycnal flows transporting sand and gravel across the shelf has never been documented in modern shelf environments. From Zavala and Arcuri (2016), with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258810111938. License Date: December 30, 2017. Additional labels by G. Shanmugam

It is worth noting that the wake part of a turbidity current discussed by Allen (1985) is somewhat analogous to the lofting part. Zavala and Arcuri (2016) also used the classification of turbidity currents by Mutti et al. (1994) into low-density turbidity currents and high-density turbidity currents. Despite our poor understanding of the behavior of high-density turbidity currents and hyperpycnal flows in deep-water environments (Shanmugam 2016a), Zavala and Arcuri (2016) proposed two types of hyperpycnal flows, namely, sandy and muddy types. Importantly, they proposed two types of turbidites, namely “intrabasinal turbidites” and “extrabasinal turbidites” (Fig. 16). Intrabasinal turbidites are those with sediments derived locally from adjacent shelf and got transported into the basin by “classic” turbidity currents. In contrast, extrabasinal turbidites are those with sediments derived from distant land and delta and got transported into the basin by “flood-triggered” turbidity currents or hyperpycnal flows (Fig. 16). In other words, large river-delta fed submarine fans on passive continental margins, such as the Mississippi Fan and the Amazon Fan, would be classified as extrabasinal turbidite. Because that deposits of hyperpycnal flows are called “hyperpycnites” (Mulder et al. 2002), large submarine fans could be termed hyperpycnite fans. These conceptual fan models have inherent problems.
Fig. 16
Fig. 16

Facies conceptual block diagram showing the occurrence of intrabasinal (I) and extrabasinal (E) turbidites. Note that extrabasinal turbidites receive a direct supply from rivers in flood, and can accumulate shelfal or deep marine deposits. This model ignores external controls, such as tidal shear fronts (see Fig. 9) and ocean currents (see Fig. 11), which prevent transport of hyperpycnal sediments from the river mouth to the deep sea. This model also ignores types of submarine canyons (Figs. 17 and 18), which are critical for fan deposition (see the text). Block diagram from Zavala and Arcuri (2016), with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258810111938. License Date: December 30, 2017. Additional labels by G. Shanmugam

7.2 Problems

  1. 1)

    The concept of lofting hyperpycnal flow is problematic (Fig. 15) because it defies basic priciples of buoyancy. In discussing buoyancy effects in fluids, Turner (1980) explained that positively buoyant plumes cannot be hyperpycnal (i.e., plume with excess density cannot loft). By definition, hyperpycnal flows are negatively buoyant due to their excess density.

  2. 2)

    Zavala and Arcuri’s (2016) classified turbidity currents and fans based on provenance (internal source versus external source), which is in conflict with the conventional definition of turbidity currents based on Newtonian rheology and turbulent state (Dott 1963; Sanders 1965).

  3. 3)

    The hypothetical model of extrabasinal turbidites and related hyperpycnite fans is untenable for two reasons. First, the concept of high-density turbidity currents, which serves as the basis, is not only theoretically flawed (Shanmugam 1996), but also empirically undocumented in the world’s oceans (Shanmugam 2017a). Second, the model fails to take into account the most fundamental factor on developing submarine fans, which is a submarine canyon (see Section 8).


7.3 Grain size

Modern and ancient submarine fans contain a complex blend of gravel, sand, and mud (Shanmugam and Moiola 1988). However, hyperpycnal flows cannot be responsible for transporting gravel and sand from the land, carrying them 10−100 kms− 1 across the shelf (Fig. 3), and delivering them to the deep sea. For example, no one has ever documented by direct measurements or observations of transport of gravel and sand by hyperpycnal flows in suspension from the shoreline to the deep sea in modern settings. Without acknowledging this fundamental lack of empirical data, Warrick et al. (2013) suggested formation of submarine fans by hyperpycnal plume-derived sediments in the Santa Barbara Channel, California. Shallow-water muddy hyperpycnal flows should not be confused with deep-water sandy turbidity currents (Shanmugam 2012).

In a comprehensive review of hyperpycnal flows, Talling (2014, p. 179) concluded that “Weak and dilute flows generated by plunging hyperpycnal flood discharges most likely deposits thin (mm to < 10 cm) and fine grained sediment layers, similar to those documented for hyperpycnal flows in lakes and reservoirs (his Fig. 8d, e). The available field observations suggest that they do not form meter-thick sand layers in deep water settings, as has been previously proposed (Mulder et al. 2003)”.

7.4 Modern analogs

Steel et al. (2016) claimed that “... hyperpycnal flows became positively buoyant and lifted off the seabed, resulting in well-sorted, structureless, elongate sand lobes”. However, such positively buoyant hyperpycnal plumes have never been documented in modern shelf environments. Steel et al. (2016, p. 1717) also claimed that “Turbidity currents generated by plunging of sediment-laden rivers at the fluvial-marine interface, known as hyperpycnal flows, allow for cross-shelf transport of suspended sand beyond the coastline”. Because their Fig. 2 B1 shows medium-grained sand, the authors imply that medium-grained sands in the Santa Barbara Channel were transported by lofted hyperpycnal flows (or lofted turbidity currents). But there are no literatures on modern analogs where researchers have documented by direct observations of medium-grained sands being lofted by hyperpycnal flows and those sands being transported across the shelf. Specific publications on modern analogs of lofted hyperpycnal flows with empirical data on their physical properties (e.g., flow velocity, fluid density, grain size, sediment concentration, etc.) are nil.

Experimental studies by Kostic et al. (2002) and Lamb et al. (2010) showed that muddy “turbidity currents” or “hyperpycnal flows” are generated at plunge points. Gladstone and Pritchard (2010), who demonstrated lofting of turbidity currents in laboratory experiments, used the fine fraction with an average grain diameter of 12.8 μm and the coarse fraction of 36.5 μm. In other words, all these experiments revealed that hyperpycnal flows are strictly muddy flows and they do not carry medium- to coarse-sand or gravel in suspension. Other experiments have also shown that turbidity currents composed of pure sand (medium- to coarse-grained) without the fines tend to collapse soon after initiation (Shanmugam 2000). Turbidity currents are capable of transporting mainly mud and very fine-grained sand in suspensions. Therefore, any hypothetical model that advocates lofting of sandy hyperpycnal flows is incongruous with respect to what we know from experiments about the inability of turbidity currents to transport medium-grained sand in suspension.

Finally, both Warrick et al. (2013) and Steel et al. (2016) invoked the origin of sands in the Santa Barbara Channel studies to hyperpycnal flows. But they totally ignored the significance of tidal currents. Tidal currents in the Santa Barbara Channel had been well documented (Münchow 1998). Boyd et al. (2008) convincingly documented that at high sea-level, southeast Australian deep-water sands are delivered by a wave-driven coastal transport system, interacting with estuarine ebb tidal flows that transport sand over the shelf edge. Therefore, one could explain deposition of the so-called “hyperpycnites” in the Santa Barbara Channel by tidal current activities as well.

8 Submarine canyons

Submarine canyons play a critical role in serving as conduits for the transfer of sediments from the land to the sea (Shepard 1981; Shepard and Dill 1966). Submarine canyons are also important to understanding conceptual models of hyperpycnites (Fig. 16) because plant remains are used as a criterion to recognize large submarine fans (see Section 6.7). Therefore, it is imperative to acknowledge some fundamental aspects of submarine canyons that are well established.

8.1 Origin

Lamb et al. (2010, p. 1398) in their attempt to explain the origin of submarine canyons by hyperpycnal flows stated that “In fact, hyperpycnal flows might erode the seabed, which offers a potentially interesting feedback between plunging hyperpycnal flows and submarine canyon formation (e.g., Pratson et al. 1994)”. However, Pratson et al. (1994, p. 411) concluded that “As reviewed here, mass wasting initiated the subsea sediment flows that began canyon formation and enhanced canyon growth by widening the canyons through retrogressive sea-floor failures, for example, the gullying of canyon walls observed by Farre and others (Farre et al. 1983)”. Clearly, Pratson et al. (1994) were not referring to hyperpycnal flows because their term “sediment flows” was meant for sediment-gravity flows (Middleton and Hampton 1973). Sediment-gravity flows are composed of grain flows, debris flows, fluidized sediment flows, and turbidity currents (Middleton and Hampton 1973, their Fig. 1). Sediment flows are not hyperpycnal flows.

Daly’s hypothesis for the origin of submarine canyons by density (turbidity) currents was quite popular in the 1950s and 1960s (Daly 1936). F.P. Shepard, who devoted his professional life at the Scripps Institution of Oceanography in California to the study of submarine canyons, concluded that submarine canyons were formed not by a single mechanism, but by a combination of processes, such as subaerial erosion, submarine erosion, and faulting, over a long period of time. The point is that Shepard did not even consider the possibility of hyperpycnal flows in explaining the origin of submarine canyons (Shepard 1981). Brine-related dense shelf-water cascading currents (Roveri et al. 2013) should not be confused with hyperpycnal flows in eroding submarine canyons. Importantly, there are no empirical data to document the erosion of modern seafloor by genuine hyperpycnal flows.

8.2 Classification

Submarine canyons are critical for understanding deep-sea sedimentation (Normark and Carlson 2003; Shanmugam 2003; Shepard and Dill 1966; among others). In this regard, Harris and Whiteway (2011), based on ETOPO1 bathymetric grid, compiled the first inventory of 5849 separate large submarine canyons in the world’s oceans. They classified canyons into three basic types:

Type 1: Shelf-incising canyons having heads with connection to a major river or estuarine system (Fig. 17);
Fig. 17
Fig. 17

Type 1 shelf-incising, river-associated Zaire (formerly Congo) Canyon. Zavala and Arcuri (2016) did not consider the role of submarine canyons in developing their “extrabasinal turbidite” model. Compiled from Harris and Whiteway (2011), with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258820982830. License Date: December 30, 2017. Additional labels by G. Shanmugam

Type 2: Shelf-incising canyons with no clear connection to a major river or estuarine system (Fig. 18);
Fig. 18
Fig. 18

Types 2 and 3 canyons near the Laurentian Channel, many of which incised the shelf, incised into the glacial trough mouth fan. Zavala and Arcuri (2016) did not consider the role of submarine canyons in developing their turbidite models. Compiled from Harris and Whiteway (2011), with permission from Elsevier. Copyright Clearance Center’s RightsLink: Licensee: G. Shanmugam. License Number: 4258820982830. License Date: December 30, 2017. Additional labels by G. Shanmugam

Type 3: Slope-incising blind canyons with their heads confined to the continental slope (Fig. 18).

Harris and Whiteway (2011) also reported that canyons exhibit an impressive array of statistics from their length and spacing to their slope, depth range, dendricity, and sinuosity. Active continental margins contain 44.2% of all canyons (2586/5849) and passive margins contain 38.4% (2244/5849). Canyons are steeper, shorter, more dendritic, and more closely spaced on active than on passive continental margins. River-associated, shelf incising canyons are more numerous on active continental margins than on passive margins. They are most common on the western margins of South and North America where they comprise 11.7% and 8.6% of canyons, respectively. In the Mediterranean Sea, where 518 large submarine canyons have been identified (Harris and Whiteway 2011), all three types of canyons are present. If one wishes to study the role of hyperpcnal flows in causing submarine canyons, one needs to apply these kinds of robust global datasets.

Despite the critical role of submarine canyons in forming submarine fans (Bouma et al. 1985), Zavala and Arcuri (2016) totally ignored the significance of the three types of submarine canyons in their models for hyperpycnite fans. It is worth noting that the Type 1 and Type 3 submarine canyons are likely to serve as conduits for extrabasinal and intrabasinal turbidites, respectively. For example, the Zaire Canyon (Fig. 17), which is a Type 1 canyon, would serve as a conduit for transport of plant remains from land to the sea, irrespective of the process, be it turbidity currents, tidal currents, or hyperpycnal lows. One could easily misinterpret the Type 1 canyon-fill deposits with plant remains as hyperpycnites, although tidal currents could have transported those plant remains. Shanmugam et al. (2009) interpreted canyon-fill deposits with plant remains as tidalites in the Bay of Bengal.

8.3 Cyclone-induced hyperpycnal turbidity currents in canyons

Liu et al. (2012) claimed four episodes of “clone-induced hyperpycnal turbidity currents” in the Gaoping submarine canyon, Taiwan, China (Fig. 19). These cyclones, named Kalmaegi, Fong Wong, Kammuri, and Nuri, occurred during the cyclone (typhoon) season between 8 July and 11 September 2008. Liu et al. (2012) stated that “Our findings verify turbidite sequences with the characteristics of suspended sediment carried by passing turbidity currents that displayed distinct waxing and waning phases. Our study also confirms the direct link between typhoon-triggered hyperpycnal flows in a small mountainous river and turbidity currents in a nearby submarine canyon that transport sediment to the deep-sea efficiently”. Cyclones do generate flows that travel in various directions, but they should not be equated with “hyperpycnal flows” for meteorological reasons (Shanmugam 2008a). The other problem is that cyclonic flows can travel in any direction (upslope, downslope, alongslope, even within canyons), whereas hyperpycnal flows travel only downslope (seaward) because they are density flows, unless they are redirected by shelf currents. The appropriate process term here is “cyclone-induced density flows”. Palanques et al. (2006) documented the role of cyclones and dense water cascading in the Gulf of Lions submarine canyons.
Fig. 19
Fig. 19

Properties measured during episodes of four cyclones (i.e., typhoons), Kalmaegi, Fong Wong, Kammuri, and Nuri (red filled circles), in the Gaoping submarine canyon, Taiwan, China. a Hourly atmospheric (Atm.) pressure and precipitation during the deployment. DL and SLC are the locations for two rain gauges; DL rain gauge was located along the riverbank and SLC rain gauge was located on Siaoliouciou Island; b Daily river runoff and interpolated and observed SSC (Suspended sediment concentration) at Liling Bridge gauging station about 30 km from the mouth; c Hourly mean wave height and period recorded at a wave buoy southwest off Siaoliouciou Island; d Stick diagram of the recorded flow by the Sontek current meter whose scale is given on the top right corner. The upward direction is the north. The single red ‘stick’ is the flow recorded on 08:00 LT 18 July. The light brown curve is the acoustic backscatter (echo intensity) measured by the Sontek current meter that represents the SSC in the water. The three arrows point to the timing of the first three timer-discs in the non-sequential sediment trap; e The contoured temperature anomaly measured by each mini log on the taut-line. From Liu et al. (2012) with additional labels. See Shanmugam (2008a) for meteorological and sedimentological aspects of cyclones

9 Configurations of density plumes

9.1 Types

Our current understanding of hyperpycnal flows is based on a skewed emphasis on river-mouth processes. However, a global survey of density plumes suggests a plethora of plume types and origins. For example, the U.S. National Aeronautics and Space Administration (NASA 2017) has archived thousands of satellite images of density plumes in its online publishing outlet called “Earth Observatory” since 1999. There are, at least, 24 configurations of density plumes (NASA 2017; Table 1):
  1. 1)

    Simple lobate (Fig. 2e),

  2. 2)

    Horse’s tail (Fig. 2f),

  3. 3)

    Deflecting (Fig. 11a),

  4. 4)

    Dissipating (Fig. 20c),

  5. 5)

    U-Turn (Fig. 22c),

  6. 6)

    Swirly (Fig. 27b),

  7. 7)

    Cloudy (Shanmugam, 2018b),

  8. 8)

    Massive (Shanmugam, 2018b),

  9. 9)

    Tidal lobate (Fig. 26c),

  10. 10)

    Cascading (Shanmugam, 2018b),

  11. 11)

    Backwash (Shanmugam, 2018b),

  12. 12)

    Meltwater (Shanmugam, 2018b),

  13. 13)

    Coalescing irregular (Fig. 24a),

  14. 14)

    Eolian blanketing dust (Fig. 24b),

  15. 15)

    Linear (Fig. 6),

  16. 16)

    Anastomosing (Fig. 25b),

  17. 17)

    Coalescing lobate (Fig. 23b),

  18. 18)

    Whitings (Shanmugam, 2018b),

  19. 19)

    Ring (Shanmugam, 2018b),

  20. 20)

    Tendril (Fig. 28b),

  21. 21)

    Eolian dust (Shanmugam, 2018b),

  22. 22)

    Feathery (Shanmugam, 2018b),

  23. 23)

    Volcanic ash (Shanmugam, 2018b),

  24. 24)

    Gas hydrate.

Fig. 20
Fig. 20

Río de la Plata Estuary. a Location of the Río de la Plata Estuary (white circle). Image credit: ETOPO1 Global Relief Model, C. Amante and B.W. Eakins, ETOPO1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, March 2009; b Satellite image showing the Río de la Plata Estuary. This image is used as an index map to provide a regional perspective. Image courtesy Jacques Descloitres, MODIS Land Group, NASA GSFC. Image acquired on April 24, 2000; c Satellite image showing the Río de la Plata Estuary with hyperpycnal plumes that tend to move towards the Argentinian shelf to the south. Framiňan and Brown (1996) used the term “turbidity front” for this hyperpycnal plume. Note that the entire, 220-km wide, plume gets diluted and dissipated with an irregular front, which fails to advance into the South Atlantic. This dilution of plume is attributed to external controls, such as ocean currents operating on the shelf. The Paraná River, the second longest river in South America after the Amazon, supplies three-quarters of the fresh water that enters the estuary, with the remainder arriving from the Uruguay River. See Fossati and Piedra-Cueva (2013). Image credit: NASA Earth Observatory, NASA image by Jeff Schmaltz, LANCE/EOSDIS MODIS Rapid Response. Image acquired on March 31, 2012. Additional labels by G. Shanmugam

Each type is of significance in sedimentary record. However, there are no systematic studies of these plumes and their deposits in modern settings.

9.2 Global case studies

In addition to the three case studies discussed earlier (i.e., braid delta from Alaska, river-dominated delta of the Yellow River and tide-dominated estuary of the Yangtze River in China), I have selected the following case studies in understanding the complex factors that control plume types in estuaries, rivers, bays, and lakes.

9.2.1 Dissipating plume with irregular front: The Río de la Plata estuary, Argentina and Uruguay, South Atlantic Ocean

The Río de la Plata Estuary is located on the east coast of South America, bordering Argentina and Uruguay. It is one of the largest estuaries in the world (Acha 2008; Fossati et al. 2014; Framiňan and Brown 1996; Sepúlveda et al. 2004). It is 280 km long and 220 km wide at its mouth, and its water depth does not exceed 10 m (Fig. 20b). It receives water and sediment from both the Paraná and Uruguay rivers with an annual mean discharge of 22,000 m3s− 1. Satellite images show dissipating plume with an irregular front (Fig. 20c).

Gonzalez-Silvera et al. (2006) studied ocean color (OCTS, SeaWiFS) and sea surface temperature (AVHRR) images and evaluated spatial and temporal variability of the Brazil-Malvinas Confluence and La Plata Plume (20ο−45οS and 40ο−65οW). The data set covered the period from January 1997 to June 2003. Chlorophyll and SST data were compiled and analyzed. The results show a gradual increase of the northward intrusion of the La Plata Plume throughout the period lasting from summer to winter; the summer shape of the La Plata Plume showed a stronger penetration over the shelf on the Argentinean side of the estuary mouth; and the seasonal migration of the Brazil-Malvinas Confluence (Fig. 21). The implications of this study are:
  1. 1)

    In some cases, both sediment plumes and planktonic plumes operate.

  2. 2)

    This dataset strongly suggests the direct control of the sediment plume by ocean currents (Fig. 21a). For example, sediment plumes are diluted and dissipated to virtually nothing at the estuary mouth (Fig. 20c).

  3. 3)

    The seaward transport of planktonic plumes is diverted northward along the inner shelf by seasonal variations (Fig. 21b). Therefore, one should not assume that all plumes transport sediment across the continental shelf and deliver sediment into the deep sea.

  4. 4)

    In cases like this with multiple external controlling factors, use of plant remains as a criterion for recognizing ancient hyperpycnites (Zavala and Arcuri 2016) is meaningless.

  5. 5)

    The Río de la Plata plume, sourced primarily by the Paraná River, is in direct conflict with a theoretical hypothesis by Mulder et al. (2003, their Table 5) who argued that the Paraná River “cannot” generate hyperpycnal flows. Similarly, Mulder et al. (2003) also included the Zaire River in West Africa as one of those rivers that cannot trigger hyperpycnal flows. However, studies showed that the Zaire River indeed developed hyperpycnal flows (Migeon 2000). Clearly, the field observations do not support theoretical models.

Fig. 21
Fig. 21

Influence of ocean currents on hyperpycnal plumes off the Río de la Plata Estuary. a Schematic representation of the depth-averaged current circulation in the southwestern Atlantic region. White circle = Estuary. The shelf (depths smaller than 200 m) is marked by white background. Ocean currents are primarily responsible for the dilution of sediment plumes at the mouth of the estuary (see Fig. 20c). From Matano et al. (2010); b Seasonal composites of chlorophyll-a concentration (mgm− 3) for the study area (white circles). Red pattern represents trends of plumes (arrows). Note heavy plume trending north during the winter season. The implication is that not all plumes routinely move offshore across the continental shelf and reach the deep sea. From Gonzalez-Silvera et al. (2006). Additional labels by G. Shanmugam

9.2.2 U-turn plume: Guadalquivir River, Gulf of Cádiz, North Atlantic Ocean

The Gulf of Cádiz is located in the northeastern Atlantic Ocean (Fig. 22a). It is enclosed by the southern Iberian and northern Moroccan margins, west of the Gibraltar Strait. Two major rivers, the Guadalquivir and the Guadiana, as well as smaller rivers, like the Odiel, the Tinto, and the Guadalete, reach the ocean here. In terms of ocean currents (Peliz et al. 2009), it is one of the most complex oceanographic settings (Fig. 22b). Mimicking the current patterns, sediments that are emptied into the gulf by the Guadalquivir River exhibit an U-Turn shape for the plume (Fig. 22c). In cases like this, one must consider the influence of ocean currents on the dispersal of hyperpycnite sediments. The problem is that how these hyperpycnite sediments would dffier from those hyperpycnites unaffected by ocean currents. In other words, do plume configurations (i.e., U-Turn versus lobate) matter in the depositional record? No one has addressed this issue.
Fig. 22
Fig. 22

Gulf of Cádiz. a Location map of the Gulf of Cádiz (red filled circle). Image credit: ETOPO1 Global Relief Model, C. Amante and B.W. Eakins, ETOPO1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, March 2009; b Circulation patterns of ocean currents in the Gulf of Cádiz (Peliz et al. 2009). MO = Mediterranean outflow; GCC = Gulf of Cádiz slope current; c Satellite image showing sediment plumes with an U-Turn pattern (white arrow). Note that the U-Turn pattern is mimicking the circulation of ocean currents (b). White open circle = Guadalquivir River mouth. NASA image courtesy Jeff Schmaltz, LANCE MODIS Rapid Response Team at NASA GSFC. Image acquired on November 13, 2012. Additional symbols and labels all by G. Shanmugam

9.2.3 Coalescing lobate plume: Zambezi River, Indian Ocean

The Zambezi River in Central Mozambique is a wave-dominated delta. It has developed a coalescing lobate plume due to multiple river mouths (Fig. 23b). The importance of longshore currents in modifying the delta is discussed by Mikhailov et al. (2015).
Fig. 23
Fig. 23

Zambezi River delta. a Location of the Zambezi River delta (red filled circle). Image credit: ETOPO1 Global Relief Model, C. Amante and B.W. Eakins, ETOPO1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, March 2009; b Satellite image showing coalescing lobate plume as a product of multiple river mouths of the Zambezi River, central Mozambique. Note the influence of wave actions and related beaches. NASA Earth Observatory images by Robert Simmon, using Landsat 8 data from the USGS Earth Explorer. Image acquired August 29, 2013. Additional labels by G. Shanmugam

9.2.4 Coalescing and blanketing plumes: Copper River braid delta, Gulf of Alaska, Pacific Ocean

Galloway (1976) originally classified the Copper River delta as a “fan delta”. According to McPherson et al. (1987), the Copper River delta fits the characteristics of coarse-grained braid delta. The importance here is that it develops both coalescing irregular plume (Fig. 24a) and blanketing eolian dust plume (Fig. 24b). In cases like this, it is extremely difficult to distinguish the complex interaction between riverine and eolian input by examining depositional record.
Fig. 24
Fig. 24

a Satellite image showing a braid delta with coalescing irregular plume from multiple river mouths of the Copper River braid delta, Gulf of Alaska. NASA Earth Observatory image courtesy Robert Simmon and Jesse Allen, using Landsat 8 data from the USGS Earth Explorer. Image acquired on May 28, 2013. Additional labels by G. Shanmugam; b Satellite image showing both coalescing irregular (riverine) plume and blanketing eolian (dust) plume in the Copper River braid delta, Gulf of Alaska. NASA Earth Observatory image courtesy Jeff Schmaltz, MODIS Rapid Response Team at NASA GSFC. Image acquired on October 29, 2009. Additional labels by G. Shanmugam

9.2.5 Anastomosing plume: Hugli River, India, Bay of Bengal

The Hugli River is a distributary of the Ganges River that empties its sediments into the Bay of Bengal. During monsoonal flood stages, the Hugli River develops anastomosing plumes at the mouth (Fig. 25b). The Ganges River mouth is considered as a tide-dominated estuary (Balasubramanian and Ajmal Khan 2002).
Fig. 25
Fig. 25

Hugli (Ganges) River, India. a Satellite image showing normal river flow (blue) at the mouth of the Hugli River, which is the westernmost distributary of the greater Ganges River. This site is popularly known as the “Mouth of the Ganges”, where the Ganges empties its sediment into the Bay of Bengal. Note the river is blue in color because of poor sediment load. NASA images created by Jesse Allen, Earth Observatory. ASTER data provided courtesy of the NASA/GSFC/MITI/ERSDAC/JAROS. Image acquired on March 29, 2000. Additional labels by G. Shanmugam; b Satellite image showing sediment-rich river flow (tan color) and anastomosing plume at the mouth when the river is carrying full sediment load during periods of monsoonal floods. Image credit: NASA/METI/AIST/Japan Space Systems, and U.S./Japan ASTER Science Team. Image acquired on January 6, 2005. Additional labels by G. Shanmugam

9.2.6 Tidal lobate plume: San Francisco Bay, Pacific Ocean

The Golden Gate Bridge is located at the mouth of the San Francisco Bay connecting the Pacific Ocean (Fig. 26a). Barnard et al. (2006) reported a field of giant sand waves of tidal origin beneath the Golden Gate Bridge at the mouth of San Francisco Bay in California (Fig. 26b). Repeated surveys demonstrated that the sand waves are active and dynamic features that move in response to tidally generated currents. The significance of the tidal sand waves at the mouth of the San Francisco Bay is that muddy lobate sediment plumes have been imaged by NASA at this area (Fig. 26c). The oceanographic significance here is that these tidal lobate plumes are identical in shape to classic river-mouth sediment plumes, such as the one observed at the mouth of the Yellow River (Fig. 2e). Does it mean that tidal lobes and river-flood lobes would generate identical depositional sequences?
Fig. 26
Fig. 26

Tidal density plume, San Francisco, California. a Location map showing the mouth of the San Francisco Bay with the Pacific Ocean at the Golden Gate Bridge (Circle); b Image showing a field of giant tidal sand waves and other bedforms at the mouth of San Francisco Bay. The view is from the northwest toward the Golden Gate Bridge (seen in the background), which is approximately 2-km long. More than 40 large (greater than 50-m wavelength) sand waves were mapped, with crest-to-crest lengths of as much as 220 m and heights of as much as 10 m. This computer-generated image by Patrick Barnard of sand waves is based on high-resolution multibeam imaging of the seafloor using research vessel VenTresca by the CSUMB Seafloor Mapping Laboratory. Vertical exaggeration: 3X. Geological details of the setting and sand waves are discussed by Barnard et al. (2006). The land was imaged using digital orthophotos draped over a U.S. Geological Survey digital elevation model. The Golden Gate Bridge model is courtesy of IVS 3D©. Image courtesy of USGS, Accessed July 14, 2011. See also Bouma et al. (1977) for examples from Alaska; c Satellite image showing tidal lobate plume at the mouth (circle; Golden Gate Bridg) of the San Francisco Bay. Image credit: NASA: The Operational Land Imager (OLI) on Landsat 8. Image acquired on March 1, 2017. Additional labels by G. Shanmugam

9.2.7 Swirly cyclonic plume: Northern Gulf of Mexico

Although rivers supply sediments into the northern Gulf of Mexico, cyclones frequently resuspend muddy sediments over the entire shelf. For example, the 2009 Tropical Storm Ida resuspended muddy sediments and caused a swirly cyclonic plume that is nearly 150 km in maximum width in the northern Gulf of Mexico (Fig. 27b). Such catastrophic plumes tend to mask any smaller plumes induced by rivers. But there are no studies differentiating depositional characteristics of cyclonic plumes from those of riverine plumes.
Fig. 27
Fig. 27

Cyclones in the Gulf of Mexico. a Location map showing position of Tropical Storm Ida (red filled circle) that came ashore on November 10, 2009; b Satellite image showing swirly cyclonic plume occupying the entire shelf area in the northern Gulf of Mexico. Small white arrows = River mouths. NASA images courtesy Jeff Schmaltz, MODIS Rapid Response Team at NASA GSFC. Image acquired on November 10, 2009, just a few hours after the storm hit Alabama and Florida. Unlike riverine hyperpycnal plumes, transport of gravel, sand, and mud to deep-water environments by cyclone-related flows is possible. Additional labels by G. Shanmugam

9.2.8 Tendril plume: Lake Michigan, USA

Satellite image shows tendril configuration of plumes in Lake Michigan (Fig. 28b). In this example, suspended sediments transformed the southern end of Lake Michigan. Ranging in color from brown to green, the sediment filled the surface waters along the southern coastline and formed a long curving tendril extending toward the middle of the lake, induced by wind activity.
Fig. 28
Fig. 28

Density plumes in lakes. a Great Lakes, United Staes. Image: Wikipedia; b Satellite image showing a tendrill plume in Lake Michigan. NASA image courtesy MODIS Rapid Response Team at NASA GSFC. Image acquired on December 17, 2010; c Satellite image showing swirly plume induced by seiche in Lake Erie. NASA Earth Observatory image by Jesse Allen, using VIIRS data from the Suomi National Polar-orbiting Partnership. Suomi NPP is the result of a partnership between NASA, the National Oceanic and Atmospheric Administration, and the Department of Defense. Image acquired on November 25, 2015. Additional labels by G. Shanmugam

9.2.9 Swirly plume: Lake Erie, USA

Swirly plumes in Lake Erie, USA were attributed seiche (NASA 2017; Fig. 28c). Seiche is a large standing wave that occurs when strong winds and a quick change in atmospheric pressure push water from one end of a body of water to the other. de Jong and Battjes (2004) discussed the atmospheric origin of seiche.

9.2.10 Challenges

Twenty-four types of plumes are broadly grouped into 14 common categories (Fig. 29). Configurations of density plumes are controlled not only by river floods, but also by tidal currents, ocean currents, upwelling, tsunamis, cyclones, seiche, volcanism, fish activity, coral reef, etc. Despite their wide natural variability in triggering mechanisms, only riverine plumes have received the primary attention thus far. The challenge in studying density plume is that a single type (e.g., swirly) can be generated by different mechanisms (e.g., cyclone, seiche, upwelling, etc.). To date, no one has investigated how these different types of density plumes are preserved in the sedimentary record. Amid these uncertainties, it is premature to propose a facies model for hyperpycnites based on the false notion that there is only one type of hyperpycnal flow, which is the river-mouth type. The other issue is that these different plumes are composed mostly of suspended mud and may be ephemeral. Therefore, there is an immediate need to evaluate these long-ignored plume types and their deposits.
Fig. 29
Fig. 29

Summary diagram showing 14 general types of plumes that include 12 marine examples and two lacustrine examples. a Lobate plume developed by a single river channel; b Coalescing lobate plume developed by multiple river channels; c Dissipating plume with an irregular front developed within a major estuary; d Linear plume developed in a braid delta e U-Turn plume developed in response to influence by ocean currents; f Meltwater plume developed from glacier; g Dust plume from eolian processes that can transport dust beyond the shelf edge; h Cascading plume developed during cyclones that tend to transport sediment (gravel, sand and mud) beyond the shelf break (Shanmugam 2008a); i Backwash plume developed during tsunamis that tend to transport sediment (gravel, sand and mud) beyond the shelf break (Shanmugam 2006b); j Whitings plume and ring plume developed in carbonate environments; k Ash plume developed during volcanic eruptions; l Tendril and swirly plumes developed in lakes. Note that with the exception of cyclones and tsunamis, none of the other plumes can transport sand and gravel to the deep sea by bedload mode. Although these different types can be recognized on modern systems using satellite or other photographic images, individual types cannot be distinguished in the ancient sedimentary record yet

10 Concluding remarks and future directions

A global evaluation of density plumes suggests a complex variability in nature (Fig. 30), which includes (1) six different environments, (2) six compositional material, (3) 11 sources, (4) 15 external controls, and (5) 24 types. Therefore, it is not meaningful to adopt a single facies model for riverine hyperpycnites (Fig. 14a). In short, the hyperpycnite facies model (Fig. 14a) is obsolete.
Fig. 30
Fig. 30

Summary diagram showing complex natural variability of plumes in terms of their environmental settings, their composition, their source, their external control, and types. See Table 1 for specific case studies and related references. This compilation of factors should be considered preliminary. For example, gas hydrate is included in more than one category. Additional studies are needed. See a companion paper using 45 case studies (Shanmugam, 2018b)

Students’ research in the future could benefit from the following objectives and guidelines:
  1. 1)

    Apply meaningful process terms in studying density plumes.

  2. 2)

    Avoid equating hyperpycnal lows with turbidity currents.

  3. 3)

    Conduct laboratory flume experiments by using natural sea water as standing body of water.

  4. 4)

    Realize that density plumes originate not only at plunge points associated with rivers, but also in sites unrelated to plunge points (e.g., open marine, away from the shoreline).

  5. 5)

    Measure physical properties of hyperpycnal flows at plunge points in modern marine environments (e.g., water depth, gradient change, flow velocity, sediment concentration, seafloor erosion, initiation of turbidity currents, etc.).

  6. 6)

    Acquire empirical data on hyperpycnal flows and their ability to transport sand and gravel in suspension across the modern continental shelf.

  7. 7)

    Investigate the link between plume types and their depositional characteristics in various settings influenced by tidal currents, glacial meltwater, eolian dust, volcanic ash, tsunamis, cyclones, upwelling, etc.

  8. 8)

    Keep in mind that popular facies models of the twentieth Century, associated with turbidites (Shanmugam 1997; Van der Lingen 1969), tsunamites (Shanmugam 2006b), contourites (Shanmugam 2016b), seismites (Shanmugam 2016c), and hyperpycnites (this paper), are all problematic in the end. Learn from history and resist the temptation of building genetic facies models.


Finally, I would like to conclude this article with an optimistic note for students. Amid numerous obstacles that exist on studies of density plumes, opportunities also exist for initiating M.S.- and Ph.D.-level researh projects. The reason is that an enormous number of satellite images are available from various modern marine and lacustrine environments (Shanmugam 2018b).



I thank Prof. Zeng-Zhao Feng (Editor-in-Chief of the Journal of Palaeogeography; China University of Petroleum, Beijing) for his detailed critical comments that improved the quality of this paper considerably. I also thank Prof. Zeng-Zhao Feng who actively carries out the policy of “A hundred flowers blossom and a hundred schools of thought contend”. I sincerely thank Prof. B. Charlotte Schreiber (University of Washington, Seattle) for her no-nonsense, critical, and helpful review comments. This paper is an expanded version of the original submission entitled “The hype of hyperpycnal flows”. As always, I am thankful to my wife Jean for her general comments.

I am grateful to the U.S. National Aeronautics and Space Administration (NASA) for their excellent collection of satellite and other images of sediment plumes triggered by river, tide, glacier, volcanic eruptions, cyclones, etc. I would like to acknowledge the following publishers, governmental and non-govenmental agencies, journals, and colleagues, for their help in granting permissions either formally or through their publication policies to reuse images:

  1. 1)

    American Association of Petroleum Geologists (AAPG),

  2. 2)

    American Geophysical Union (AGU),

  3. 3)

    Cambridge Core and Global-Science Press,

  4. 4)

    Copyright Clearance Center (CCC), Rightslink,

  5. 5)


  6. 6)

    European Geosciences Union (EGU),

  7. 7)

    Geological Society of America (GSA),

  8. 8)

    Geological Society of London (GSL),

  9. 9)

    Indian Journal of Geo-Marine Sciences (IJMS),

  10. 10)

    J. G. McPherson,

  11. 11)

    John Wiley and Sons,

  12. 12)

    The U.S. National Aeronautics and Space Administration (NASA),

  13. 13)

    The U.S. National Geophysical Data Center (NGDC),

  14. 14)

    R. D. Kreisa,

  15. 15)

    Society for Sedimentary Geology (SEPM),

  16. 16)

    Springer Nature,

  17. 17)

    The U.S. Army Corps of Engineers,

  18. 18)

    The U.S. Geological Survey (USGS), and,

  19. 19)



Authors’ contributions

The author read and approved the final manuscript.

Competing interests

The author declares that he has no competing interests.

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Authors’ Affiliations

Department of Earth and Environmental Sciences, The University of Texas at Arlington, Arlington, TX 76019, USA


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