Weekly Literature Review

Week 08 · February 17–February 23, 2020

38 relevant papers found across 6 themes

Executive Summary

This week features a landmark Science paper by Milly and Dunne demonstrating that warming-driven snow albedo loss accounts for most of the Colorado River’s flow decline since 2000, with projections of continued 9% loss per degree of warming. In flood science, Couasnon et al. produced the first global-scale assessment of compound flood potential from combined river discharge and storm surge extremes, revealing that many coastal regions face underappreciated joint hazards. Multiple advances in streamflow forecasting and reservoir operations round out an active week.

Executive Summary
Flood Risk Assessment and Compound Events
Streamflow Modeling and Forecasting
Climate Change Impacts on Water Resources
Drought Assessment and Water Scarcity
Reservoir Operations and Hydropower
Groundwater and Catchment Hydrology
Statistics
1. Papers by journal
Filtering Criteria

Flood Risk Assessment and Compound Events

A strong week for flood science opened with Couasnon et al.’s first global assessment of compound flood potential, combining river discharge and storm surge extremes to identify regions where joint occurrence creates hazards beyond what either driver alone would suggest. Wasko et al. revealed that changes in antecedent soil moisture under warming are modulating flood seasonality—an important mechanism for detecting climate change signals in flood records. Li et al. demonstrated that initial conditions critically affect convection-permitting flood simulations in complex terrain. Han et al. introduced a network-based approach for delineating homogeneous regions in flood frequency analysis, while Geravand et al. showed that river cross-section data resolution significantly influences flood inundation modeling accuracy. On the urban side, two Philosophical Transactions papers addressed flood adaptation: Kapetas and Fenner on integrating blue-green and grey infrastructure, and Dawson et al. on frameworks for interoperable urban flood management. Lin et al. demonstrated quantifying flood levels from citizen-contributed imagery.

Measuring compound flood potential from river discharge and storm surge extremes at the global scale

Authors: Anaïs Couasnon, Dirk Eilander, Sanne Muis et al.

Journal: Natural Hazards and Earth System Sciences · DOI: 10.5194/nhess-20-489-2020 · Citations: 0

Matched topics: hydrologic model, river, runoff, streamflow, flood, land surface model, earth system model

The interaction between physical drivers from oceanographic, hydrological, and meteorological processes in coastal areas can result in compound flooding. This study provides the first global-scale assessment of compound flood potential by analyzing the joint occurrence of river discharge and storm surge extremes.

Changes in Antecedent Soil Moisture Modulate Flood Seasonality in a Changing Climate

Authors: Conrad Wasko, Rory Nathan, Murray Peel

Journal: Water Resources Research · DOI: 10.1029/2019wr026300 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow, flood, seasonal, climate change

Due to difficulties in identifying a climate change signal in flood magnitude, it has been suggested that shifts in flood timing may be detectable sooner. This study demonstrates that changes in antecedent soil moisture conditions under warming are a key mechanism modulating flood seasonality.

The impact of initial conditions on convection-permitting simulations of a flood event over complex terrain

Authors: Lu Li, Marie Pontoppidan, Stefan Sobolowski

Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-24-771-2020 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow, flood

Western Norway suffered major flooding after 4 days of intense rainfall during October 2014. This study demonstrates that initial conditions critically affect convection-permitting model simulations of such events, with implications for flood forecasting in complex terrain.

A Network Approach for Delineating Homogeneous Regions in Regional Flood Frequency Analysis

Authors: Xudong Han, Taha B. M. J. Ouarda, Ataur Rahman

Journal: Water Resources Research · DOI: 10.1029/2019wr025910 · Citations: 0

Matched topics: hydrology, runoff, streamflow, flood

Regional flood frequency analysis forms the basis for ascertaining design thresholds for extreme flow events. This study introduces a network-based approach for delineating homogeneous regions, offering improved objectivity over traditional methods.

Influence of river cross-section data resolution on flood inundation modeling: Case study of Kashkan River Basin in western Iran

Authors: Fatemeh Geravand, Seiyed Mossa Hosseini, Behzad Ataie‐Ashtiani

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.124743 · Citations: 0

Matched topics: hydrologic model, river, runoff, flood

This study examines how the spatial resolution of river cross-section survey data affects the accuracy of flood inundation modeling in the Kashkan River Basin, demonstrating that insufficient resolution leads to significant errors in flood extent prediction.

Quantifying Flood Water Levels Using Image-Based Volunteered Geographic Information

Authors: Yan-Ting Lin, Ming‐Der Yang, Jen-Yu Han

Journal: Remote Sensing · DOI: 10.3390/rs12040706 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, water management, flood

Many people use smartphone cameras to record their environments and share images on social networks. This study develops methods for quantifying flood water levels from citizen-contributed imagery, demonstrating the potential of volunteered geographic information for real-time flood monitoring.

Integrating blue-green and grey infrastructure through an adaptation pathways approach to surface water flooding

Authors: Leon Kapetas, Richard Fenner

Journal: Philosophical Transactions of the Royal Society A · DOI: 10.1098/rsta.2019.0204 · Citations: 0

Matched topics: water management, flood, surface water

A range of solutions to future flood risk are available from blue-green infrastructure as incorporated in sustainable drainage systems to traditional grey infrastructure. This study develops an adaptation pathways approach for integrating both types of infrastructure to manage surface water flooding.

A spatial framework to explore needs and opportunities for interoperable urban flood management

Authors: David Dawson, Kim Vercruysse, Nigel Wright

Journal: Philosophical Transactions of the Royal Society A · DOI: 10.1098/rsta.2019.0205 · Citations: 0

Matched topics: water management, flood, land surface model

Managing current and future urban flood risks must consider the interoperability between existing and new infrastructure systems. This study proposes a spatial framework to explore needs and opportunities for interoperable urban flood management.

Streamflow Modeling and Forecasting

Streamflow prediction saw advances across scales and methods. Arsenault et al. presented the NASA Hydrological Forecast System, a land surface model-based platform supporting food and water security applications across Africa and the Middle East. Wagena et al. compared stochastic time series, neural networks, and process-based models for short-term streamflow forecasting, finding that hybrid approaches often outperform any single method. Holtzman et al. tailored WRF and Noah-MP to improve Sierra Nevada runoff representation, addressing a critical challenge for California water supply modeling. Niu et al. and Yaseen et al. both advanced extreme learning machine approaches for streamflow prediction, while Jiang et al. refined predictor spectral representation using wavelet theory. Kingston et al. articulated the value and opportunities in large-scale hydrology beyond the catchment scale.

The NASA Hydrological Forecast System for Food and Water Security Applications

Authors: Kristi R. Arsenault, Shraddhanand Shukla, Abheera Hazra

Journal: Bulletin of the American Meteorological Society · DOI: 10.1175/bams-d-18-0264.1 · Citations: 0

Matched topics: hydrologic model, runoff, streamflow, land surface model, earth system model

Many regions in Africa and the Middle East are vulnerable to drought and to water and food insecurity. This study presents the NASA Hydrological Forecast System, a land surface model-based platform providing drought monitoring and seasonal hydrological forecasting for food and water security applications.

Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models

Authors: Moges B. Wagena, D. Goering, Amy S. Collick

Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2020.104669 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow, water management

This study compares stochastic time series, neural networks, process-based, and Bayesian models for short-term streamflow forecasting, evaluating their relative performance across different hydrologic regimes and forecast horizons.

Tailoring WRF and Noah‐MP to Improve Process Representation of Sierra Nevada Runoff: Diagnostic Evaluation and Application

Authors: Natan Holtzman, Tamlin M. Pavelsky, Jonathan S. Cohen

Journal: Journal of Advances in Modeling Earth Systems · DOI: 10.1029/2019ms001832 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow, land surface model

Watersheds at the western margin of the Sierra Nevada in California are regulated by large dams providing crucial water supply, flood control, and electricity generation. This study tailors WRF and Noah-MP configurations to improve runoff simulation, addressing systematic biases in snow and soil moisture processes.

Annual Streamflow Time Series Prediction Using Extreme Learning Machine Based on Gravitational Search Algorithm

Authors: Wenjing Niu, Zhong-kai Feng, Yu‐Bin Chen

Journal: Journal of Hydrologic Engineering · DOI: 10.1061/(asce)he.1943-5584.0001902 · Citations: 0

Matched topics: runoff, streamflow, water management, hydropower

Accurate annual runoff prediction plays an important role in water resources planning and management. This study develops a hybrid model using evolutionary extreme learning machine and variational mode decomposition for annual streamflow prediction.

Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Streamflow Prediction

Authors: Zaher Mundher Yaseen, Hossam Faris, Nadhir Al‐Ansari

Journal: Complexity · DOI: 10.1155/2020/8206245 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow

The capability of the extreme learning machine model in modeling stochastic, nonlinear, and complex hydrological problems has been proven. This study hybridizes ELM with the Salp Swarm Algorithm for improved streamflow prediction.

Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling

Authors: Ze Jiang, Ashish Sharma, Fiona Johnson

Journal: Water Resources Research · DOI: 10.1029/2019wr026962 · Citations: 0

Matched topics: hydrology, hydrologic model, streamflow, water management

Predicting future surpluses or shortages of water is a long-standing problem with considerable ramifications to water management. This study refines predictor spectral representation using wavelet theory for improved natural system modeling.

Moving beyond the catchment scale: Value and opportunities in large‐scale hydrology to understand our changing world

Authors: Daniel G. Kingston, Nicolas Masséi, Bastien Dieppois

Journal: Hydrological Processes · DOI: 10.1002/hyp.13729 · Citations: 0

Matched topics: hydrology, hydrologic model, streamflow

This perspective articulates the value and opportunities in large-scale hydrology for understanding hydrological change, arguing that moving beyond the catchment scale enables detection of large-scale teleconnection patterns and climate-hydrology linkages.

Climate Change Impacts on Water Resources

The headline paper this week is Milly and Dunne’s Science article attributing Colorado River flow decline primarily to warming-driven reduction in snow albedo, which amplifies snowmelt and evaporative losses. They project continued 9% flow loss per degree of warming—a major finding for western US water management. Gangrade et al. employed a high-resolution modeling framework to project hydroclimate changes in the Alabama-Coosa-Tallapoosa basin, while Hu et al. used SWAT to attribute runoff changes in China’s Min-Tuo River to climate and human activity. Zhang et al. showed how groundwater in the Prairie Pothole Region responds to climate change through a snowmelt-driven two-way exchange with surface water. Hadour et al. assessed hydrological sensitivity to climate change in Algeria, Rumsey et al. related hydroclimatic change to streamflow partitioning in the Upper Colorado, and Perera et al. quantified climate change impacts on energy systems including hydropower.

Colorado River flow dwindles as warming-driven loss of reflective snow energizes evaporation

Authors: P. C. D. Milly, K. A. Dunne

Journal: Science · DOI: 10.1126/science.aay9187 · Citations: 0

Matched topics: hydrologic model, river, drought, climate change

This study demonstrates that warming-driven reduction in snow albedo is the primary mechanism behind the Colorado River’s flow decline since 2000, projecting continued losses of approximately 9% per degree of warming with profound implications for water management across the American Southwest.

Multi-model Hydroclimate Projections for the Alabama-Coosa-Tallapoosa River Basin in the Southeastern United States

Authors: Sudershan Gangrade, Shih‐Chieh Kao, Ryan A. McManamay

Journal: Scientific Reports · DOI: 10.1038/s41598-020-59806-6 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow, hydropower

This study uses a high-resolution, process-based modeling framework to assess the impacts of changing climate on water resources for the Alabama-Coosa-Tallapoosa River Basin, projecting changes in streamflow seasonality and magnitude relevant to reservoir operations and hydropower.

Attribution Analysis of Runoff Change in Min-Tuo River Basin based on SWAT model simulations, China

Authors: Jian Hu, Jie Ma, Chao Nie

Journal: Scientific Reports · DOI: 10.1038/s41598-020-59659-z · Citations: 0

Matched topics: hydrology, hydrologic model, river, runoff, streamflow, land surface model, hydropower

To quantify the impact of climate changes and human activities on runoff, this study examines the response mechanisms of runoff change in the Min-Tuo River Basin, China, using SWAT model simulations to separate natural and anthropogenic contributions.

Modeling groundwater responses to climate change in the Prairie Pothole Region

Authors: Zhe Zhang, Yanping Li, Michael Barlage

Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-24-655-2020 · Citations: 0

Matched topics: hydrology, hydrologic model, land surface model, climate change

Shallow groundwater in the Prairie Pothole Region is predominantly recharged by snowmelt in spring and supplies water for evapotranspiration through summer and fall. This study models how this two-way exchange responds to climate change, with implications for wetland ecosystems and agriculture.

Watershed based hydrological evolution under climate change effect: An example from North Western Algeria

Authors: Ali Hadour, Gil Mahé, Mohamed Meddi

Journal: Journal of Hydrology: Regional Studies · DOI: 10.1016/j.ejrh.2020.100671 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, climate change

This study examines the sensitivity of hydrological parameters in three major river basins in North-West Algeria to projected climate change, revealing significant vulnerability of water resources in this semi-arid Mediterranean region.

Relating hydroclimatic change to streamflow, baseflow, and hydrologic partitioning in the Upper Colorado River Basin

Authors: Christine A. Rumsey, Matthew P. Miller, G. A. Sexstone

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.124715 · Citations: 0

Matched topics: runoff, streamflow, water management

This study relates observed hydroclimatic changes to streamflow, baseflow, and hydrologic partitioning in the Upper Colorado River Basin, complementing the warming-driven flow decline findings and providing a process-level understanding of water balance shifts.

Quantifying the impacts of climate change and extreme climate events on energy systems

Authors: A.T.D. Perera, Vahid M. Nik, Deliang Chen

Journal: Nature Energy · DOI: 10.1038/s41560-020-0558-0 · Citations: 0

Matched topics: hydrologic model, climate change, hydropower

This review quantifies the impacts of climate change and extreme events on energy systems, including hydropower generation, finding that water availability changes pose significant risks to energy security in many regions.

Drought Assessment and Water Scarcity

Drought research this week spanned mechanistic understanding to operational management. Wang et al. provided a comprehensive evaluation of hydrological drought and its relationship to meteorological drought, advancing multi-index approaches. Kimm et al. challenged conventional drought definitions for the US Corn Belt, demonstrating that atmospheric vapor pressure deficit dominates over precipitation deficits as the primary driver of crop stress. Peña-Guerrero et al. linked drought to water quality degradation affecting irrigated agriculture in Chile, and Ahmadianfar and Zamani assessed hedging policies for reservoir operation under future drought conditions, providing practical guidance for climate adaptation.

Comprehensive evaluation of hydrological drought and its relationships with meteorological drought

Authors: Fei Wang, Zongmin Wang, Haibo Yang

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.124751 · Citations: 0

Matched topics: river, streamflow, drought

This study provides a comprehensive evaluation of hydrological drought and its relationships with meteorological drought using multiple drought indices, advancing understanding of drought propagation from atmospheric to hydrological systems.

Redefining droughts for the U.S. Corn Belt: The dominant role of atmospheric vapor pressure deficit over precipitation

Authors: Hyungsuk Kimm, Kaiyu Guan, Pierre Gentine

Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2020.107930 · Citations: 0

Matched topics: water management, drought, irrigation

This study challenges conventional drought definitions by demonstrating that atmospheric vapor pressure deficit—rather than precipitation deficit—is the dominant driver of crop stress and yield loss in the US Corn Belt, with implications for drought monitoring and irrigation management.

Drought impacts on water quality and potential implications for agricultural production in the Maipo River Basin, Chile

Authors: Mayra Daniela Peña‐Guerrero, Alexandra Nauditt, Carlos Alfonso Muñoz Robles

Journal: Hydrological Sciences Journal · DOI: 10.1080/02626667.2020.1711911 · Citations: 0

Matched topics: river, drought, surface water, irrigation

Droughts can have serious negative impacts on the water quality needed for irrigated agriculture. This study examines how drought conditions in the Metropolitan region of Chile degrade water quality with cascading effects on high-value crop production.

Assessment of the hedging policy on reservoir operation for future drought conditions under climate change

Authors: Iman Ahmadianfar, Reza R. Zamani

Journal: Climatic Change · DOI: 10.1007/s10584-020-02672-y · Citations: 0

Matched topics: reservoir, water management, drought, climate change

This study assesses hedging policies for reservoir operation under projected future drought conditions, evaluating how adaptive release strategies can balance water supply reliability and shortage severity under climate change.

Reservoir Operations and Hydropower

Reservoir and hydropower research this week ranged from global resource assessments to catchment-scale modeling tools. Hunt et al. mapped the global potential for seasonal pumped hydropower storage, finding 17.3 PWh of potential—approximately 79% of world electricity consumption—making it a viable complement to variable renewables. Dang et al. released a software package for representing and optimizing reservoir operations within land surface models. Gao et al. produced a remarkable 439-year simulated daily discharge dataset for the upper Yangtze River, enabling climate change impact assessment for hydropower planning. Bhattarai et al. evaluated global forcing datasets for hydropower inflow simulation in Nepal, and Abou Rafee et al. analyzed spatial trends in extreme precipitation over the Paraná River basin with implications for hydropower infrastructure. Pérez-Blanco et al. developed an integrated hydro-economic model for evaluating water trading between agricultural and urban sectors.

Global resource potential of seasonal pumped hydropower storage for energy and water storage

Authors: Julian David Hunt, Edward Byers, Yoshihide Wada

Journal: Nature Communications · DOI: 10.1038/s41467-020-14555-y · Citations: 0

Matched topics: hydrology, hydrologic model, seasonal, hydropower

This study maps the global resource potential of seasonal pumped hydropower storage, finding 17.3 PWh of potential capacity—approximately 79% of world electricity consumption in 2017—demonstrating it as a viable large-scale energy and water storage solution.

A software package for the representation and optimization of water reservoir operations in the VIC hydrologic model

Authors: Thanh Duc Dang, Dung Trung Vu, Kamal Chowdhury

Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2020.104673 · Citations: 0

Matched topics: hydrologic model, streamflow, reservoir, land surface model

This study presents a software package for representing and optimizing water reservoir operations within the VIC hydrologic model, enabling coupled simulation of reservoir management and catchment hydrology.

A 439-year simulated daily discharge dataset (1861–2299) for the upper Yangtze River, China

Authors: Chao Gao, Buda Su, Valentina Krysanova

Journal: Earth System Science Data · DOI: 10.5194/essd-12-387-2020 · Citations: 0

Matched topics: hydrologic model, streamflow, water management, hydropower

The outputs of four global climate models were used to drive four hydrological models, producing a 439-year simulated daily discharge dataset for the upper Yangtze River spanning 1861–2299, enabling long-term climate change impact assessment for water resources and hydropower planning.

Evaluation of global forcing datasets for hydropower inflow simulation in Nepal

Authors: Bikas Chandra Bhattarai, J. F. Burkhart, Lena M. Tallaksen

Journal: Hydrology Research · DOI: 10.2166/nh.2020.079 · Citations: 0

Matched topics: hydrology, hydrologic model, streamflow, hydropower

Discharge over the Narayani river catchment of Nepal was simulated using three global forcing datasets. This study evaluates their suitability for hydropower inflow simulation in data-sparse mountainous regions.

Spatial Trends of Extreme Precipitation Events in the Paraná River Basin

Authors: Sameh Adib Abou Rafee, Edmílson Dias de Freitas, Jorge Alberto Martins

Journal: Journal of Applied Meteorology and Climatology · DOI: 10.1175/jamc-d-19-0181.1 · Citations: 0

Matched topics: hydrologic model, river, streamflow, hydropower

This work presents an analysis of observed trends in extreme precipitation events in the Paraná River basin from 1977 to 2016 based on 853 stations, with implications for flood risk and hydropower infrastructure in South America’s second-largest river system.

Authors: C. Dionisio Pérez‐Blanco, Arthur Hrast Essenfelder, Carlos Gutiérrez‐Martín

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.124676 · Citations: 0

Matched topics: hydrologic model, streamflow, water management, irrigation

This study develops an integrated hydro-economic model for evaluating water trading opportunities and benefit sharing between agricultural and urban sectors in two river basins, demonstrating how market-based instruments can improve water allocation efficiency.

Groundwater and Catchment Hydrology

Groundwater and catchment-scale studies this week ranged from global datasets to process understanding. Olarinoye et al. published a global karst springs hydrograph dataset supporting research and management of the world’s fastest-flowing aquifer systems. Hssaisoune et al. assessed Moroccan groundwater resources under climate change, revealing significant vulnerability in this semi-arid nation. Ferreira et al. characterized the Yangtze River basin’s hydro-geological regime using remote sensing and reanalysis data. Callow et al. challenged conventional thinking by showing that surface water—not just groundwater rise—drives dryland salinity in Australia. Volik et al. reviewed the hydrology-resource development nexus in Athabasca Oil Sands wetlands, Wu et al. quantified how flow alteration and temperature affect hyporheic exchange, and Zhang et al. applied multifractal analysis to extreme precipitation on the Loess Plateau.

Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing aquifer systems

Authors: Tunde Olarinoye, Tom Gleeson, Vera Marx

Journal: Scientific Data �� DOI: 10.1038/s41597-019-0346-5 · Citations: 0

Matched topics: hydrology, hydrologic model, streamflow, water management

Karst aquifers provide drinking water for 10% of the world’s population and support agriculture and ecosystems. This study publishes a global karst springs hydrograph dataset characterised by complex groundwater-surface water interactions and rapid flow dynamics.

Moroccan Groundwater Resources and Evolution with Global Climate Changes

Authors: Mohammed Hssaisoune, Lhoussaine Bouchaou, Abdelfettah Sifeddine

Journal: Geosciences · DOI: 10.3390/geosciences10020081 · Citations: 0

Matched topics: hydrologic model, runoff, water management, climate change, surface water, earth system model

In semi-arid areas, many ecosystems and activities depend on water availability. This study assesses Moroccan groundwater resources and their evolution under global climate change, revealing significant vulnerability of aquifer recharge to projected precipitation declines.

Characterization of the hydro-geological regime of Yangtze River basin using remotely-sensed and modelled products

Authors: Vagner G. Ferreira, Bin Yong, Mohammad J. Tourian

Journal: Science of The Total Environment · DOI: 10.1016/j.scitotenv.2020.137354 · Citations: 0

Matched topics: hydrology, hydrologic model, river, runoff, land surface model, hydropower

This study characterizes the hydro-geological regime of the Yangtze River basin using satellite remote sensing and reanalysis products, providing a comprehensive assessment of water storage changes across the world’s third-largest river basin.

Surface water as a cause of land degradation from dryland salinity

Authors: Nik Callow, Matthew R. Hipsey, Ryan Vogwill

Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-24-717-2020 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, streamflow, land surface model, surface water

Secondary dryland salinity is a global land degradation issue. This study demonstrates that surface water processes—not just groundwater rise—can drive dryland salinity, challenging conventional understanding and requiring adaptation of management strategies in drylands.

Wetlands in the Athabasca Oil Sands Region: the nexus between wetland hydrological function and resource extraction

Authors: Olena Volik, Matthew C. Elmes, Richard M. Petrone

Journal: Environmental Reviews · DOI: 10.1139/er-2019-0040 · Citations: 0

Matched topics: hydrology, hydrologic model, runoff, water management

Oil sands development in the Athabasca region has accelerated, causing alteration to wetlands that perform vital ecosystem functions. This review examines the nexus between wetland hydrological function and resource extraction, identifying knowledge gaps for reclamation.

Impact of Flow Alteration and Temperature Variability on Hyporheic Exchange

Authors: Liwen Wu, J. D. Gomez‐Velez, Stefan Krause

Journal: Water Resources Research · DOI: 10.1029/2019wr026225 · Citations: 0