Madison M. Douglas’s research while affiliated with Massachusetts Institute of Technology and other places

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Publications (16)


Discharge and water temperature seasonality on the Koyukuk River (Alaska) and theoretical predictions for the timing of riverbank erosion
a, Discharge climatology for the Koyukuk River at Hughes (66.04696° N, 154.26097° W) based on data from the USGS streamflow station during the period 1962–1981 (Extended Data Fig. 7a). Note that 1 ft³/s is equal to approximately 0.028 m³/s. Discharge peaks during the spring freshet in late May to early June. Some years have a second discharge peak associated with August rains (Extended Data Figs. 3 and 7a). The Koyukuk River maintains very low discharge from late October to mid-May, when the surface of the river is frozen. b, Average water temperature time series from the USGS gauge at Pilot Station on the Yukon River (61.93369° N, 162.88293° W). The USGS gauge at Hughes does not record water temperature, which is why we rely on the Pilot Station temperature record. However, comparison of water temperatures measured by HOBO loggers deployed on the Koyukuk River near Huslia during the summers of 2022 and 2023 show that the water temperature at Pilot Station is a good proxy for the water temperature on the Koyukuk River. Water temperatures approach 0 °C during the river-ice ‘break-up’ and ‘freeze-up’ periods, and peak in mid-July, at a time when the water discharge approaches its summertime low (a). c–e, Theoretical predictions for the sub-seasonal patterns of riverbank erosion under the endmember scenarios that erosion is controlled by: ice gouging during break-up69–72 (c), the thawing of pore-ice in frozen bank sediments14,26,27,73 (d) and the ability for flowing river water to entrain bank sediment14,36–38 (e). The time series in c is an illustrative cartoon. The break-up period in May is probably the time of greatest erosive action from ice²¹, although the freeze-up period in October can proceed in fits and starts, during which thin ice lenses flow downstream and could erode thawed riverbanks. The uncertainty envelopes in d and e propagate the discharge and water temperature variability in a and b using Monte Carlo simulations.
Illustration and justification for our method of estimating discharge on the Koyukuk River (which is missing gauge data during our study period from 2016 to 2022) based on the discharge time series from nearby rivers
a–e, Discharge records from USGS stream gauges at Hughes (66.04696° N, 154.26097° W) (a–e), Pilot Station (61.93369° N, 162.88293° W) (a), Nenana (64.56494° N, 149.09400° W) (b), Stevens Village (65.87510° N, 149.72035° W) (c), Eagle (64.78917° N, 141.20009° W) (d), and Fairbanks (64.79234° N, 147.84131° W) (e). Note that 1 ft³/s is equal to approximately 0.028 m³/s. The discharge data for the Koyukuk River at Hughes are shown in brown and the discharge data from all other stations are shown in green. f–j, A zoom-in of the period 1977–1982, when all six stations were recording discharge data. Note the similarity in the hydrographs between the stations. We ask: can we use the historical period of overlap (f–j) to train a model that infers the discharge on the Koyukuk River given the hydrographs recorded at nearby stations? k, Consider the specific case of the streamflow recorded at Hughes, Pilot Station and Stevens Village. The Koyukuk River carries roughly 20% of the streamflow observed on the Yukon River at Stevens Village (c,h). Thus, the difference in discharge observed at Stevens Village versus Pilot Station (that is, before and after the confluence with the Koyukuk River, respectively) should encode information about the discharge from the Koyukuk River, modulated by a characteristic convolutional smoothing of the hydrograph from upstream to downstream. l, We use a simple neural network to infer the hydrograph from the Koyukuk River (which is not directly observed during our study period from 2016–2022) based on the hydrographs of the Yukon River at Stevens Village and Pilot Station (which have continuous observational records from 2016 to 2022). We train the neural network using the period of overlap when all three stations were collecting data from 1977 to 1982 (Extended Data Fig. 3).
Training and implementation of our neural network used to infer the ‘missing’ discharge time series on the Koyukuk River based on the discharge records at Stevens Village and Pilot Station on the Yukon River (before and after the confluence with the Koyukuk River)—see Extended Data Fig. 2
a–e, The neural network is trained using periods of overlap in the historical record when all three USGS streamflow stations were active. In a–e, the R² values represent the model performance evaluated using leave-one-out cross-validation. The neural network predicts the historical discharge time series with a mean R² of 0.82. f–j, Implementation of the neural network for estimating the Koyukuk River discharge records during the period 2017–2021. These datasets are used to make model predictions for the seasonal and interannual patterns of riverbank erosion under the thaw-limited, entrainment-limited and combined scenarios (Extended Data Fig. 4).
Time series for quantifying annual erosion rates
a,b, Power-law regressions relating the water discharge, Qw, to the average flow depth (H) (a) and average flow velocity (U) (b) for the USGS station at Hughes. Each data point represents a field measurement from the USGS (mostly from the period 1962–1981). c, In situ water temperature observations from Pilot Station on the Yukon River. d, Water discharge time series for the Koyukuk River estimated from the neural network in Extended Data Fig. 3. e,f, Time series of average flow depth (H) and average flow velocity (U) constructed from the discharge dataset in d and the power-law fits in a and b. g, Predicted patterns of thaw-limited and entrainment-limited erosion based on equations (3)–(6) and the H and U time series in e and f. h, The minimum of the thaw-limited and entrainment-limited erosion curves in g. In g and h, the y axis gives the instantaneous erosion rate (that is, the total annual erosion that would occur if that rate were sustained for a full 365-day period). i–k, The integrated areas under the erosion rate curves (g and h) for thaw-limited (i), entrainment-limited (j) and combined (k) erosion scenarios. l, The observed erosion rates for 2017–2021. Note that the model parameters in equations (3)–(6) are optimized separately for each scenario (i–k) to have the interannual erosion fingerprint best match the observations (l) (see Extended Data Fig. 1). Even after optimization, the thaw-limited and entrainment-limited endmembers can only replicate the interannual pattern of erosion with R² of 0.44 and 0.57, respectively. The combined thaw and entrainment scenario reproduces the interannual pattern with R² = 0.85. To account for the fact that the thaw-only, entrainment-only and combined thaw and entrainment models have different numbers of independent parameters (1, 2 and 3, respectively), we also compute the adjusted R² value (see equation (15)). The Radj2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${R}_{{\rm{adj}}}^{2}$$\end{document} metric includes a penalty for models with more parameters, yet it still supports the conclusion that the combined thaw and entrainment model best explains the data.
Simulations for how the reach-averaged riverbank erosion rates for the Koyukuk River may respond to changes in the total water discharge, the discharge seasonality, the water temperature, and the permafrost abundance in the riverbanks
We use the combined thaw-limited and entrainment-limited erosion model (Fig. 3), calibrated using our observations for the seasonal and interannual patterns of bank erosion, to explore changes in erosion rates in response to perturbations in total water discharge (Qw), discharge seasonality, and water temperature (Tw). Note that our perturbations to the discharge seasonality involve reallocating 0–30% of the water discharge from the first 30 days of ice-free conditions (mid-May to mid-June on the Koyukuk River) to the mid-summer (in this case, to the month of August). This experiment simulates reduced springtime discharge as a result of a smaller snowpack, compensated by increasing summertime rain⁸. Because we lack robust constraints on whether or how the ‘flashiness’ of the Koyukuk River hydrograph will change, we reallocate the seasonal discharge through simple linear scalings of the historical discharge records (Extended Data Fig. 2). The numbers in bold indicate the reach-averaged bank erosion rates in metres per year and the numbers in parentheses indicate the percent change relative to the modern (2016–2022) erosion rates.

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Permafrost slows Arctic riverbank erosion
  • Article
  • Publisher preview available

October 2024

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162 Reads

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1 Citation

Nature

Emily C. Geyman

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Madison M. Douglas

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Jean-Philippe Avouac

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Michael P. Lamb

The rate of river migration affects the stability of Arctic infrastructure and communities1,2 and regulates the fluxes of carbon3,4, nutrients⁵ and sediment6,7 to the oceans. However, predicting how the pace of river migration will change in a warming Arctic⁸ has so far been stymied by conflicting observations about whether permafrost⁹ primarily acts to slow10,11 or accelerate12,13 river migration. Here we develop new computational methods that enable the detection of riverbank erosion at length scales 5–10 times smaller than the pixel size in satellite imagery, an innovation that unlocks the ability to quantify erosion at the sub-monthly timescales when rivers undergo their largest variations in water temperature and flow. We use these high-frequency observations to constrain the extent to which erosion is limited by the thermal condition of melting the pore ice that cements bank sediment¹⁴, a requirement that will disappear when permafrost thaws, versus the mechanical condition of having sufficient flow to transport the sediment comprising the riverbanks, a condition experienced by all rivers¹⁵. Analysis of high-resolution data from the Koyukuk River, Alaska, shows that the presence of permafrost reduces erosion rates by 47%. Using our observations, we calibrate and validate a numerical model that can be applied to diverse Arctic rivers. The model predicts that full permafrost thaw may lead to a 30–100% increase in the migration rates of Arctic rivers.

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Mercury stocks in discontinuous permafrost and their mobilization by river migration in the Yukon River Basin

August 2024

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71 Reads

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Emily C Geyman

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[...]

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Rapid warming in the Arctic threatens to destabilize mercury (Hg) deposits contained within soils in permafrost regions. Yet current estimates of the amount of Hg in permafrost vary by ∼4 times. Moreover, how Hg will be released to the environment as permafrost thaws remains poorly known, despite threats to water quality, human health, and the environment. Here we present new measurements of total mercury (THg) contents in discontinuous permafrost in the Yukon River Basin in Alaska. We collected riverbank and floodplain sediments from exposed banks and bars near the villages of Huslia and Beaver. Median THg contents were 49⁺¹³/−21 ng THg g sediment⁻¹ and 39⁺¹⁶/−18 ng THg g sediment⁻¹ for Huslia and Beaver, respectively (uncertainties as 15th and 85th percentiles). Corresponding THg:organic carbon ratios were 5.4+2.0/−2.4 Gg THg Pg C⁻¹ and 4.2 +2.4/−2.9 Gg THg Pg C⁻¹. To constrain floodplain THg stocks, we combined measured THg contents with floodplain stratigraphy. Trends of THg increasing with smaller sediment size and calculated stocks in the upper 1 m and 3 m are similar to those suggested for this region by prior pan-Arctic studies. We combined THg stocks and river migration rates derived from remote sensing to estimate particulate THg erosional and depositional fluxes as river channels migrate across the floodplain. Results show similar fluxes within uncertainty into the river from erosion at both sites (95⁺¹²/−47 kg THg yr⁻¹ and 26⁺¹⁵⁴/−13 kg THg yr⁻¹ at Huslia and Beaver, respectively), but different fluxes out of the river via deposition in aggrading bars (60⁺⁴⁰/−29 kg THg yr⁻¹ and 10+5.3/−1.7 kg THg yr⁻¹). Thus, a significant amount of THg is liberated from permafrost during bank erosion, while a variable but generally lesser portion is subsequently redeposited by migrating rivers.


Mud cohesion governs unvegetated meander migration rates and deposit architecture

July 2024

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8 Reads

Geological Society of America Bulletin

Vegetation is thought to be a main source of riverbank cohesion, enabling meandering and a deposit architecture characterized by sandy channel belts isolated in mudstone. However, early Earth and Mars had meandering rivers without vegetation, implying that other sources of bank strength can allow meandering with potentially different deposit characteristics. Here we studied the Amargosa River in Death Valley, California, USA, as a modern analog of meandering rivers without vegetation. We monitored flow and erosion at two bends and used radiocarbon dating of strandlines to quantify flood frequency. We also sampled cutbank mud and constrained an erosion theory using flume experiments. Cutbank erosion occurred for floods with >2 yr recurrence intervals, and 18 cm occurred for an ∼6 yr reoccurrence, bankfull event. Mud set the rate of meander migration: salt crusts rapidly and completely dissolved during floods, vegetation was absent, and mud entrainment theory matched observed erosion rates. Flood-frequency analysis showed that most bank erosion occurs at flows below bankfull, challenging the threshold channel hypothesis. We used meander migration rates to constrain the time scale of channel-belt formation and compared it to the time scale of avulsion. These calculations, combined with floodplain facies mapping and core sedimentology, indicated a likely deposit architecture of sandy point bar accretion sets intermixed with muddy overbank facies. This deposit architecture is characteristic of vegetated meandering rivers, but due to muddy banks, occurred for the Amargosa River in the absence of plants.


Permafrost Formation in a Meandering River Floodplain

July 2024

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278 Reads

Permafrost influences 25% of land in the Northern Hemisphere, where it stabilizes the ground beneath communities and infrastructure and sequesters carbon. However, the coevolution of permafrost, river dynamics, and vegetation in Arctic environments remains poorly understood. As rivers meander, they erode the floodplain at cutbanks and build new land through bar deposition, creating sequences of landforms with distinct formation ages. Here we mapped these sequences along the Koyukuk River floodplain, Alaska, analyzing permafrost occurrence, and landform and vegetation types. We used radiocarbon and optically stimulated luminescence (OSL) dating to develop a floodplain age map. Deposit ages ranged from modern to 10 ka, with more younger deposits near the modern channel. Permafrost rapidly reached 50% areal extent in all deposits older than 200 years then gradually increased up to ∼85% extent for deposits greater than 4 Kyr old. Permafrost extent correlated with increases in black spruce and wetland abundance, as well as increases in permafrost extent within wetland, and shrub and scrub vegetation classes. We developed an inverse model to constrain permafrost formation rate as a function of air temperature. Permafrost extent initially increased by ∼25% per century, in pace with vegetation succession, before decelerating to <10% per millennia as insulating overbank mud and moss slowly accumulated. Modern permafrost extent on the Koyukuk floodplain therefore reflects a dynamic balance between widespread, time‐varying permafrost formation and rapid, localized degradation due to cutbank erosion that might trigger a rapid loss of permafrost with climatic warming.


Low But Persistent Organic Carbon Content of Hyperarid River Deposits and Implications for Ancient Mars

Mars has many well‐exposed fluvial ridges and fluvio‐deltaic basins; in two of these locations, the Curiosity and Perseverance rovers are currently searching for signs of habitability. The distribution of organic carbon that might persist in ancient fluvial deposits present on Mars is not well understood. In this study, we set out to assess the preservation potential of organic carbon in a hyperarid fluvial environment with observations and analyses of the Amargosa River in Death Valley, California (United States). The lower reaches of the Amargosa River in Badwater Basin are nearly devoid of plants and contain low gradient, meandering channels, making them a valuable terrestrial analog for early martian fluvial systems. We analyzed sediment taken from fluvial deposits exposed in cutbanks of two bends of a meandering channel. We found total organic carbon abundances that were on average 0.15% up to a meter below the surface. X‐ray diffraction and electron microscopy analyses revealed a suite of high redox potential mineral phases (including iron and manganese oxides) mixed with detrital and authigenic silicates, carbonate, and sulfate salts at or close to redox equilibrium with pore fluids in contact with the atmosphere. This finding highlighted that organic carbon can persist in fluvial deposits at low abundance despite oxidizing conditions and saturated sediments and suggested that ancient fluvial deposits on Mars may retain traces of organics in fine‐grained deposits if they are present during deposition.


A Model for Thaw and Erosion of Permafrost Riverbanks

April 2024

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155 Reads

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2 Citations

How will bank erosion rates in Arctic rivers respond to a warming climate? Existing physical models predict that bank erosion rates should increase with water temperature as permafrost thaws more rapidly. However, the same theory predicts much faster erosion than is typically observed. We propose that these models are missing a key component: a layer of thawed sediment on the bank that buffers heat transfer and slows erosion. We developed a 1D model for this thawed layer, which reveals three regimes for permafrost riverbank erosion. Thaw‐limited erosion occurs in the absence of a thawed layer, such that rapid pore‐ice melting sets the pace of erosion, consistent with existing models. Entrainment‐limited erosion occurs when pore‐ice melting outpaces bank erosion, resulting in a thawed layer, and the relatively slow entrainment of sediment sets the pace of erosion similar to non‐permafrost rivers. Third, the intermediate regime occurs when the thawed layer goes through cycles of thickening and failure, leading to a transient thermal buffer that slows thaw rates. Distinguishing between these regimes is important because thaw‐limited erosion is highly sensitive to water temperature, whereas entrainment‐limited erosion is not. Interestingly, the buffered regime produces a thawed layer and relatively slow erosion rates like the entrainment‐limited regime, but erosion rates are temperature sensitive like the thaw‐limited regime. The results suggest the potential for accelerating erosion in a warming Arctic where bank erosion is presently thaw‐limited or buffered. Moreover, rivers can experience all regimes annually and transition between regimes with warming, altering their sensitivity to climate change.


Arctic Permafrost Thawing Enhances Sulfide Oxidation

November 2023

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329 Reads

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3 Citations

Permafrost degradation is altering biogeochemical processes throughout the Arctic. Thaw‐induced changes in organic matter transformations and mineral weathering reactions are impacting fluxes of inorganic carbon (IC) and alkalinity (ALK) in Arctic rivers. However, the net impact of these changing fluxes on the concentration of carbon dioxide in the atmosphere (pCO2) is relatively unconstrained. Resolving this uncertainty is important as thaw‐driven changes in the fluxes of IC and ALK could produce feedbacks in the global carbon cycle. Enhanced production of sulfuric acid through sulfide oxidation is particularly poorly quantified despite its potential to remove ALK from the ocean‐atmosphere system and increase pCO2, producing a positive feedback leading to more warming and permafrost degradation. In this work, we quantified weathering in the Koyukuk River, a major tributary of the Yukon River draining discontinuous permafrost in central Alaska, based on water and sediment samples collected near the village of Huslia in summer 2018. Using measurements of major ion abundances and sulfate (SO42− SO42{{\text{SO}}_{4}}^{2-}) sulfur (³⁴S/³²S) and oxygen (¹⁸O/¹⁶O) isotope ratios, we employed the MEANDIR inversion model to quantify the relative importance of a suite of weathering processes and their net impact on pCO2. Calculations found that approximately 80% of SO42− SO42{{\text{SO}}_{4}}^{2-} in mainstem samples derived from sulfide oxidation with the remainder from evaporite dissolution. Moreover, ³⁴S/³²S ratios, ¹³C/¹²C ratios of dissolved IC, and sulfur X‐ray absorption spectra of mainstem, secondary channel, and floodplain pore fluid and sediment samples revealed modest degrees of microbial sulfate reduction within the floodplain. Weathering fluxes of ALK and IC result in lower values of pCO2 over timescales shorter than carbonate compensation (∼10⁴ yr) and, for mainstem samples, higher values of pCO2 over timescales longer than carbonate compensation but shorter than the residence time of marine SO42− SO42{{\text{SO}}_{4}}^{2-} (∼10⁷ yr). Furthermore, the absolute concentrations of SO42− SO42{{\text{SO}}_{4}}^{2-} and Mg²⁺ in the Koyukuk River, as well as the ratios of SO42− SO42{{\text{SO}}_{4}}^{2-} and Mg²⁺ to other dissolved weathering products, have increased over the past 50 years. Through analogy to similar trends in the Yukon River, we interpret these changes as reflecting enhanced sulfide oxidation due to ongoing exposure of previously frozen sediment and changes in the contributions of shallow and deep flow paths to the active channel. Overall, these findings confirm that sulfide oxidation is a substantial outcome of permafrost degradation and that the sulfur cycle responds to permafrost thaw with a timescale‐dependent feedback on warming.


Ablation‐Limited Erosion Rates of Permafrost Riverbanks

July 2023

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137 Reads

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7 Citations

Permafrost thaw is hypothesized to increase riverbank erosion rates, which threatens Arctic communities and infrastructure. However, existing erosion models have not been tested against controlled flume experiments with open‐channel flow past an erodible, hydraulically rough permafrost bank. We conducted temperature‐controlled flume experiments where turbulent water eroded laterally into riverbanks consisting of sand and pore ice. The experiments were designed to produce ablation‐limited erosion such that any thawed sediment was quickly transported away from the bank. Bank erosion rates increased linearly with water temperature, decreased with pore ice content, and were insensitive to changes in bank temperature, consistent with theory. However, erosion rates were approximately a factor of three greater than expected. The heightened erosion rates were due to a greater coefficient of heat transfer from the turbulent water to the permafrost bank caused by bank grain roughness. A revised ablation‐limited bank erosion model with a heat transfer coefficient that includes bank roughness matched our experimental results well. Results indicate that bank erosion along Arctic rivers can accelerate under scenarios of warming river water temperatures for cases where the cadence of bank erosion is set by pore‐ice melting rather than sediment entrainment.


Scale‐Dependent Influence of Permafrost on Riverbank Erosion Rates

July 2023

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481 Reads

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16 Citations

Whether permafrost systematically alters the rate of riverbank erosion is a fundamental geomorphic question with significant importance to infrastructure, water quality, and biogeochemistry of high‐latitude watersheds. For over four decades, this question has remained unanswered due to a lack of data. Using remotely sensed imagery, we addressed this knowledge gap by quantifying riverbank erosion rates across the Arctic and subarctic. To compare these rates to non‐permafrost rivers, we assembled a global data set of published riverbank erosion rates. We found that erosion rates in rivers influenced by permafrost are on average nine times lower than non‐permafrost systems; erosion rate differences increase up to 40 times for the largest rivers. To test alternative hypotheses for the observed erosion rate difference, we examined differences in total water yield and erosional efficiency between these rivers and non‐permafrost rivers. Neither of these factors nor differences in river sediment loads provided compelling alternative explanations, leading us to conclude that permafrost limits riverbank erosion rates. This conclusion was supported by field investigations of rates and patterns of erosion along three rivers flowing through discontinuous permafrost in Alaska. Our results show that permafrost limits maximum bank erosion rates on rivers with stream powers greater than 900 Wm⁻¹. On smaller rivers, however, hydrology rather than thaw rate may be the dominant control on bank erosion. Our findings suggest that Arctic warming and hydrological changes should increase bank erosion rates on large rivers but may reduce rates on rivers with drainage areas less than a few thousand km².


Field photos of the same permafrost river bank near Beaver, AK (66.3316°N, 147.6156°W) taken on different dates. Bank stands approximately 3.5 m above the water level. The majority of exposed bank face is permafrost with pore ice. The active layer on top of the bank is between 0.5 and 1 m deep. (a) Flowing water undercut the bank, creating an erosional niche (07 June 2022). (b) Shear failure and rotational failure‐generated slump blocks (09 June 2022). (c) Slump block material armors the bank and prevents the development of an erosional niche until the material has been eroded away (22 September 2022). Photo Credit: Kieran Dunne (a, c), Michael Lamb (b).
Illustration of the permafrost riverbank erosion model setup. (a) We define a coordinate system where the bank erodes horizontally from an initial position of Y = 0 m and elevation is measured from the channel thalweg (Z = 0 m) to the top of the bank (Z = Hbf m). The riverbank erodes below the water surface at an erosion rate (Ebank; m/s) equal to the minimum of the thaw‐limited (Ethaw; m/s) and entrainment‐limited (Eent; m/s) erosion rates. The bank overhang has a total failure plane length (Lfail; m) with sections under tension (Lt; m) and compression (Lc; m); area of the overhang Ablock (m²); distance Lb (m) from the block center of mass at (YCOM, ZCOM) to the failure plane; and permafrost bulk density (ρb; kg/m³), shear strength (σS; Pa), tensile strength (σT; Pa), and compressive strength (σC; Pa). When slump blocks are present, Ebank = 0 and the block is eroded at rate Eblock (m/s), which may be (b) thaw‐limited or (c) entrainment‐limited. (b) Ethaw depends on the river Prandtl number (Pr; dimensionless), Reynolds number (Re; dimensionless), mean flow velocity (U; m/s), temperature (Tw; °C), thermal conductivity (κw; W/m/K), density (ρw; kg/m³), and temperature of fusion (Tf; °C); as well as permafrost temperature (Ti; °C), specific heat capacity (cp; J/kg/°C), and latent heat of fusion (Lf; J/kg). (c) Eent depends on the shear stress on the bank (τbank; Pa), which depends on the water depth (H; m) and channel slope (S; m/m); the slump block median grain size (D50; m); and the critical shear stress to entrain bank material (τcrit; Pa).
Riverbank erosion over the course of an annual hydrograph for sandy permafrost near Stevens Village along the Yukon River. (a) Median daily water discharge (Qw; m³/s) with the 25th to 75th percentiles shaded in gray (days since 01 January). (b) Median daily water temperature (Tw; °C) for Stevens Village and Pilot Station. (c) Riverbank erosion rate (Ebank; m/day), with Eent and Ethaw shown in orange and blue, respectively. Bank erosion is zero when a slump block shields the bank. (d) Model of slump block erosion rate (Eblock; m/day), Eent, and Ethaw versus day of the year. (e) Eroding riverbank profiles shaded light to dark gray through time with water level shown as a blue dash on each profile.
Contour plots of mean annual erosion rate Eavg (m/yr) smoothed with a 2‐D Gaussian filter with 1SD = 0.05 and the modeled example case displayed as a star (*). (a) Eavg contours for changing sediment entrainment coefficient M and τcrit. (b) Eavg contours for changes in the magnitude of water temperature and discharge. (c) Eavg contours for the ratio of block versus bank M and bank shear strength. (d) The number of slump blocks (black squares) and slump block area (white circles with 1SD error bars) as a function of bank shear strength.
Sediment Entrainment and Slump Blocks Limit Permafrost Riverbank Erosion

May 2023

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113 Reads

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8 Citations

Plain Language Summary Riverbank erosion in the Arctic is a major hazard for riverside communities and infrastructure. Arctic rivers flow through regions of permanently frozen ground, and this ground is thawing as the climate warms. Therefore, there is major concern that riverbank erosion will accelerate in the future because the ground loses its strength when thawed. However, in order for a riverbank to erode, the river must satisfy two conditions: it must thaw the frozen ground and entrain the thawed sand and mud. Our model and analyses suggest that riverbank erosion in many Arctic rivers can be limited by the river's ability to entrain and transport the sand and mud, rather than the canonical view that erosion is limited by the rate of ground thaw. Applying our model to the Yukon River indicates that thaw rates are so fast that they cannot set the rate of erosion for the melt season. Instead, bank erosion for part of the time is controlled by the ability of the river to move the bank sediment, making riverbank erosion less sensitive to warming river waters.


Citations (8)


... Note that our simple model assumes that the state of the riverbank is in local equilibrium with the erosion mode (entrainment-limited or thaw-limited). In other words, our model does not include a 'history effect' that could be important in some cases for building up a thawed layer 45 . However, the numerical modelling of ref. 45 suggests that our local equilibrium assumption is a reasonable one most of the time because the thawed layer thickness rapidly adjusts to changes in either thaw rate or entrainment rate (for which we define 'rapid' compared with the temporal forcing from the hydrograph or the seasonal temperature pattern) 45 . ...

Reference:

Permafrost slows Arctic riverbank erosion
A Model for Thaw and Erosion of Permafrost Riverbanks

... Given the coincidence of warm, snowy years in 2018 and 2019 with elevated Redness index for the three sampled watersheds ( Supplementary Fig. 4), we hypothesize that climate change-induced permafrost thaw is responsible for the abrupt shifts in stream color and chemistry. Important changes include shifts in the concentration, age, and character of dissolved organic matter 41 , and suspended sediments 6,7,17 . Permafrost thaw has already been linked to dramatic shifts in water quality in Arctic national parks 42 , including increased SO 4 2and Fe concentrations and decreased pH (to <3) 43 , which may be in response to changes in chemical weathering of minerals. ...

Arctic Permafrost Thawing Enhances Sulfide Oxidation

... Современная оценка влияния многолетнемерзлых грунтов на форму меандрирующих рек описана в [12]. На тему оценки скоростей русловых деформаций, в том числе в условиях многолетней мерзлоты, за последние годы также опубликовано множество работ [13][14][15]. ...

Ablation‐Limited Erosion Rates of Permafrost Riverbanks

... The rate of river migration affects the stability of Arctic infrastructure and communities 1,2 and regulates the fluxes of carbon 3,4 , nutrients 5 and sediment 6,7 to the oceans. However, predicting how the pace of river migration will change in a warming Arctic 8 has so far been stymied by conflicting observations about whether permafrost 9 primarily acts to slow 10,11 or accelerate 12,13 river migration. Here we develop new computational methods that enable the detection of riverbank erosion at length scales 5-10 times smaller than the pixel size in satellite imagery, an innovation that unlocks the ability to quantify erosion at the sub-monthly timescales when rivers undergo their largest variations in water temperature and flow. ...

Scale‐Dependent Influence of Permafrost on Riverbank Erosion Rates

... Here we develop new computational methods that enable the detection of riverbank erosion at length scales 5-10 times smaller than the pixel size in satellite imagery, an innovation that unlocks the ability to quantify erosion at the sub-monthly timescales when rivers undergo their largest variations in water temperature and flow. We use these high-frequency observations to constrain the extent to which erosion is limited by the thermal condition of melting the pore ice that cements bank sediment 14 , a requirement that will disappear when permafrost thaws, versus the mechanical condition of having sufficient flow to transport the sediment comprising the riverbanks, a condition experienced by all rivers 15 . Analysis of high-resolution data from the Koyukuk River, Alaska, shows that the presence of permafrost reduces erosion rates by 47%. ...

Sediment Entrainment and Slump Blocks Limit Permafrost Riverbank Erosion

... Organic matter biopolymers can bind sediment depending on charge interactions and adsorption kinetics (Yu and Somasundaran, 1996;Gregory and Barany, 2011), which classic DLVO theory cannot describe (Deng et al., 2023). Limited direct observations have shown that freshwater flocs are ∼ 10 to 100 µm in diameter and settle at ∼ 0.1 to 1 mm s −1 (Droppo and Ongley, 1994;Krishnappan, 2000;Guo and He, 2011;Larsen et al., 2009;Osborn et al., 2021). ...

Organic carbon burial by river meandering partially offsets bank erosion carbon fluxes in a discontinuous permafrost floodplain

... The floodplains of meandering rivers exhibit a relatively high abundance of OM in all climate zones, from subarctic (e.g. Lininger et al., 2018;Douglas et al., 2021) to tropical (e.g. Goñi et al., 2014;Adame et al., 2015;Shaari et al., 2020). ...

Organic carbon burial by river meandering partially offsets bank-erosion carbon fluxes in a discontinuous permafrost floodplain

... Field samples were taken across a range of erosional and depositional environments on the floodplain (Figures 2a and 2c). Methods are summarized here with details in Texts S1 and S2 of the Supporting Information S1, and some results from these analyses were previously reported (Douglas et al., 2021(Douglas et al., , 2022. ...

Impact of River Channel Lateral Migration on Microbial Communities across a Discontinuous Permafrost Floodplain