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Interannual Variations in Spring Snowmelt Timing of Alaskan Black Spruce Forests Using a Bulk-Surface Energy Balance Approach Water Resour. Res. (IF 5.4) Pub Date : 2024-05-14 Hiroki Ikawa, Taro Nakai, Robert C. Busey, Yoshinobu Harazono, Kyoko Ikeda, Hiroki Iwata, Hirohiko Nagano, Kazuyuki Saito, Masahito Ueyama, Hideki Kobayashi
Spring snowmelt occurs for a short duration on an annual time scale, but their timings considerably affect the carbon and hydrological cycle in high-latitude ecosystems. Here, we developed a simple snowmelt model, treating the ecosystem surface as a bulk-surface layer. Energy fluxes across this bulk surface and the snow-soil boundary determine snow temperature and the energy utilized for snowmelt.
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Causality Analysis and Prediction of Riverine Algal Blooms by Combining Empirical Dynamic Modeling and Machine Learning Techniques Water Resour. Res. (IF 5.4) Pub Date : 2024-05-15 Jing Tian, Gangsheng Wang, Daifeng Xiang, Sheng Huang, Wanyu Li
River algal blooms have become a global environmental problem due to their large impact range and environmental hazards. However, the complex mechanisms underlying these blooms make prediction and prevention challenging. Here, we employed empirical dynamic modeling (EDM) and machine learning to reveal the causes and predict diatom blooms from 2003 to 2017 in the Han River of China. The diatom cell
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Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave-Dependent Cd in Large Shallow Lakes Water Resour. Res. (IF 5.4) Pub Date : 2024-05-14 Chen Zhang, Lingwei Chen, Michael T. Brett
Wind is a critical driving force in hydrodynamic and water quality modeling of large shallow lakes, and is characterized by the wind drag coefficient Cd, representing the momentum transfer at the air-water interface. Contemporary empirical formulae for Cd estimation were derived over oceans and some of which are solely wind velocity U10 dependent. These formulae were previously found to be inadequate
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Drag Coefficient of Emergent Vegetation in a Shallow Nonuniform Flow Over a Mobile Sand Bed Water Resour. Res. (IF 5.4) Pub Date : 2024-05-14 Yonggang Zhang, Jinhua Cheng, Marwan A. Hassan, Ping Wang, Zi Wu
Widely distributed in natural rivers and coasts, vegetation interacts with fluid flows and sediments in a variable and complicated manner. Such interactions make it difficult to predict associated drag forces during sediment transport. This paper investigates the drag coefficient for an emergent vegetated patch area under nonuniform flow and mobile bed conditions, based on an analytical model solving
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Enhancing Nitrate Removal With Industrial Wine Residue: Insights From Laboratory Batch and Column Experiments Using Chemical, Isotopic and Numerical Modeling Tools Water Resour. Res. (IF 5.4) Pub Date : 2024-05-14 Alex Abu, Raúl Carrey, Dídac Navarro-Ciurana, Rosanna Margalef-Marti, Albert Soler, Neus Otero, Jesús Causapé, Cristina Domènech
Agricultural run-off exposes recipient water bodies to nitrate (NO3−) pollution. Biological denitrification is a suitable method for removing NO3− in water resources that can be induced by the use of industrial organic liquid waste as an electron donor source. In light of this, batch and column laboratory experiments were performed to assess the potential of two industrial wine residues (lías and vínico)
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Turbulence Intermittency Effects on the Initiation Threshold of Sediment Motion in Natural Waters Water Resour. Res. (IF 5.4) Pub Date : 2024-05-13 Renzhi Li, Ya Ping Wang, Shu Gao
The initiation threshold of sediment motion, a key component in quantifying sediment transport, has potential link to intermittent turbulence bursts. Here, we elaborated in situ experiments on coastal sea bottom covered with cohesive sediments, to obtain intermittency parameters. The variable “waiting time” between turbulence bursts was utilized to capture the occurrence of sediment initiation events
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A Novel Laboratory Technique for Measuring Grain-Size-Specific Transport Characteristics of Bed Load Pulses Water Resour. Res. (IF 5.4) Pub Date : 2024-05-13 Kevin Reiterer, Thomas Gold, Christoph Hauer, Helmut Habersack, Christine Sindelar
Although several laboratory studies on the propagation of bed load pulses were carried out in the last decades, most studies neglect grain-size-specific aspects or use invasive measurement techniques. To remedy the situation, we present a novel, time-efficient and non-destructive laboratory technique to investigate grain-size-specific transport characteristics of bed load pulses. The method consists
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Composition of Stream Dissolved Organic Matter Across Canadian Forested Ecozones Varies in Three Dimensions Linked to Landscape and Climate Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Julia Orlova, Fariba Amiri, Alyssa K. Bourgeois, Jim M. Buttle, Erin Cherlet, Chad W. Cuss, Kevin J. Devito, Monica B. Emelko, William C. Floyd, David E. Foster, Ryan H. S. Hutchins, Rob Jamieson, Mark S. Johnson, Hannah J. McSorley, Uldis Silins, Suzanne E. Tank, Lauren M. Thompson, Kara L. Webster, Chris H. S. Williams, David Olefeldt
Dissolved organic matter (DOM) is a key variable influencing aquatic ecosystem processes. The concentration and composition of DOM in streams depend on both the delivery of DOM from terrestrial sources and on aquatic DOM production and degradation. However, there is limited understanding of the variability of stream DOM composition at continental scales and the influence of landscape characteristics
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AI-Based Ensemble Flood Forecasts and Its Implementation in Multi-Objective Robust Optimization Operation for Reservoir Flood Control Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Yuxue Guo, Yue-Ping Xu, Xinting Yu, Li Liu, Haiting Gu
Informing reservoirs with forecasts is highly important for real-time flood control. This study proposed a forecast-informed methodology framework for reservoir flood control operation under uncertainty. A new combination of two post-processing methods, that is, the Cloud model and error-based copula functions, were developed to merge individual AI-based forecasts to ensemble flood forecasts, so called
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Spatial and Temporal Changes in Nutrient Source Contribution in a Lowland Catchment Within the Baltic Sea Region Under Climate Change Scenarios Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Damian Bojanowski, Paulina Orlińska-Woźniak, Paweł Wilk, Ewa Jakusik, Ewa Szalińska
Currently, climate change is considered as an important factor affecting nutrient loads introduced through riverine systems into the Baltic Sea. Although the prospect of a large increase in pollution has long seemed very real, it still does not translate into planning of effective remedial actions. One of the factors limiting the development of such activities is the scale of simulations, focusing
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A Novel Local-Inertial Formulation Representing Subgrid Scale Topographic Effects for Urban Flood Simulation Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 N. Nithila Devi, Soumendra Nath Kuiry
The local-inertial approximations of the shallow water equations (SWEs) have been used for flood forecasting at larger spatial scales owing to the improved computational efficiency and similar accuracy compared to the full 2D SWEs. With the availability of high-resolution elevation data, the complex terrain of urban areas with various small-scale features is represented well. Even for a local-inertial
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Disambiguating Concepts of Fairness in Stormwater Management: A Review of Economic Efficiency and Equity Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Aida D. Arik
To confront the converging challenges of failing infrastructure, climate change, degraded water quality, and fewer undeveloped lands, many municipalities are establishing stormwater utilities (SWUs) to allocate a dedicated funding source to stormwater management (SWM) services. As a public service, creating a “fair” SWU by defining collective values that reflect community and municipal needs is crucial
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Microtomographic Measurements of Total Air-Water Interfacial Areas for Soils Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Mark L. Brusseau, Juliana B. Araujo, Matt Narter, Justin C. Marble, Matt Bigler
Synchrotron X-ray microtomography (XMT) was used to measure total air-water interfacial areas (Aaw) as a function of water saturation (Sw) for several soils that comprise a range of physical and geochemical properties. Measurements were also conducted for glass beads and quartz sands for comparison. Apparent near-linear Aaw-Sw relationships are observed for the three sands and the three sandy soils
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Generation of High-Resolution Water Surface Slopes From Multi-Mission Satellite Altimetry Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 C. Schwatke, M. Halicki, D. Scherer
For nearly three decades, satellite radar altimetry has provided measurements of the water surface elevation (WSE) of rivers. These observations can be used to calculate the water surface slope (WSS), which is an essential parameter for estimating flow velocity and river discharge. In this study, we calculate a non time-varying high-resolution WSS of 11 Polish rivers based on multi-mission altimetry
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The Impacts of Changing Winter Warm Spells on Snow Ablation Over Western North America Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Lucia Scaff, Sebastian A. Krogh, Keith Musselman, Adrian Harpold, Yanping Li, Mario Lillo-Saavedra, Ricardo Oyarzún, Roy Rasmussen
An increase in winter air temperature can amplify snowmelt and sublimation in mountain regions with implications to water resources and ecological systems. Winter Warm Spells (WWS) are defined as a winter period (December to February, DJF) of at least 3 consecutive days with daily maximum temperature anomaly above the 90th percentile (using a moving-average of 15 days between 2001 and 2013). We calculate
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FloodNet: Low-Cost Ultrasonic Sensors for Real-Time Measurement of Hyperlocal, Street-Level Floods in New York City Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Charlie Mydlarz, Praneeth Sai Venkat Challagonda, Bea Steers, Jeremy Rucker, Tega Brain, Brett Branco, Hannah E. Burnett, Amanpreet Kaur, Rebecca Fischman, Kathryn Graziano, Kendra Krueger, Elizabeth Hénaff, Véronëque Ignace, Erika Jozwiak, Jatin Palchuri, Polly Pierone, Paul Rothman, Ricardo Toledo-Crow, Andrea I. Silverman
Flooding is one of the most dangerous and costly natural hazards, and has a large impact on infrastructure, mobility, public health, and safety. Despite the disruptive impacts of flooding and predictions of increased flooding due to climate change, municipalities have little quantitative data available on the occurrence, frequency, or extent of urban floods. To address this, we have been designing
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Generative Adversarial Network for Real-Time Flash Drought Monitoring: A Deep Learning Study Water Resour. Res. (IF 5.4) Pub Date : 2024-05-07 Ehsan Foroumandi, Keyhan Gavahi, Hamid Moradkhani
Droughts are among the most devastating natural hazards, occurring in all regions with different climate conditions. The impacts of droughts result in significant damages annually around the world. While drought is generally described as a slow-developing hazardous event, a rapidly developing type of drought, the so-called flash drought has been revealed by recent studies. The rapid onset and strong
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Streamflow Depletion Caused by Groundwater Pumping: Fundamental Research Priorities for Management-Relevant Science Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Sam Zipper, Andrea Brookfield, Hoori Ajami, Jessica R. Ayers, Chris Beightel, Michael N. Fienen, Tom Gleeson, John Hammond, Mary Hill, Anthony D. Kendall, Ben Kerr, Dana Lapides, Misty Porter, S. Parimalarenganayaki, Melissa M. Rohde, Chloe Wardropper
Reductions in streamflow caused by groundwater pumping, known as “streamflow depletion,” link the hydrologic process of stream-aquifer interactions to human modifications of the water cycle. Isolating the impacts of groundwater pumping on streamflow is challenging because other climate and human activities concurrently impact streamflow, making it difficult to separate individual drivers of hydrologic
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A Larval “Recruitment Kernel” to Predict Hatching Locations and Quantify Recruitment Patterns Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Wei Shi, Leon Boegman, Shiliang Shan, Yingming Zhao, Josef D. Ackerman, Zachary Amidon, Aidin Jabbari, Edward Roseman
Larval recruitment, a critical component of population connectivity, has been under investigated compared to larval dispersal. We developed a backward-in-time Lagrangian particle tracking model to predict larval hatching locations and proposed a larval recruitment kernel, to quantify recruitment patterns. Combining field data and a hydrodynamic model, our backtracking model predicted Lake Whitefish
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Groundwater Level Forecasting Using Machine Learning: A Case Study of the Baekje Weir in Four Major Rivers Project, South Korea Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Sooyeon Yi, G. Mathias Kondolf, Samuel Sandoval Solis, Larry Dale
Understanding the impact of human-made structures on groundwater levels is essential, with structures like dams or weirs presenting unique challenges and opportunities for study. The Baekje weir in South Korea presents an interesting case as the weir has undergone full gate opening, which is generally not the case for weirs and reservoirs, providing valuable opportunity for simulating weir removal
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A New Automatic Hydrological Station Relocation Algorithm (ASRA) for Moving Hydrological Stations Onto a Simulated Digital River Network Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Kun Wang, Denghua Yan, Zuhao Zhou, Baisha Weng, Tianling Qin, Wuxia Bi, Siyu Liu
Determining the precise placement of hydrological stations on a simulated digital river network is crucial for constructing hydrological models applicable to process simulation, water resource management, and flood forecasting endeavors. To solve this problem, we categorized and scrutinized deviations between the simulated and their actual station locations, and proposed a novel automatic hydrological
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A Hydrodynamic-Based Physical Unified Modeling for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-Out Extent Behavior Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Xiaobo Hu, Yuanjun Jiang, Po Ning, Heng Liang, Xiaoyi Fan, Wei Liu, Xin Xia, Yuanjia Zhu
Accurate prediction of shallow landslide occurrence and the subsequent motion range after transformation into debris flows is crucial for reducing disaster-induced losses. The use of Cellular Automata-based (CA) hydrodynamic models has seen increasing application in predicting landslides, debris flows, and other related hazards. However, previous CA-based models have primarily focused on the motion
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2D and 3D Computational Modeling of Surface Flooding in Urbanized Floodplains: Modeling Performance for Various Building Layouts Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Xuefang Li, Guilhem Dellinger, Sébastien Erpicum, Lihua Chen, Shuyue Yu, Léo Guiot, Pierre Archambeau, Michel Pirotton, Benjamin Dewals
Understanding the strengths and limitations of the modeling capacity of surface flooding in urbanized floodplains is of utmost importance as such events are becoming increasingly frequent and extreme. In this study, we assess two computational models against laboratory observations of surface urban flooding in a reduced-scale physical model of idealized urban districts. Four urban layouts were considered
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A Flexible Framework for Simulating the Water Balance of Lakes and Reservoirs From Local to Global Scales: mizuRoute-Lake Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Shervan Gharari, Inne Vanderkelen, Andrew Tefs, Naoki Mizukami, Erik Kluzek, Tricia Stadnyk, David Lawrence, Martyn P. Clark
Lakes and reservoirs are an integral part of the terrestrial water cycle. In this work, we present the implementation of different water balance models of lakes and reservoirs into mizuRoute, a vector-based routing model, termed mizuRoute-Lake. As the main advantage of mizuRoute-Lake, users can choose between various parametric models implemented in mizuRoute-Lake. So far, three parametric models of
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A Hybrid, Non-Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Zach Brodeur, Sungwook Wi, Ghazal Shabestanipour, Jon Lamontagne, Scott Steinschneider
Stochastic Watershed Models (SWMs) are emerging tools in hydrologic modeling used to propagate uncertainty into model predictions by adding samples of model error to deterministic simulations. One of the most promising uses of SWMs is uncertainty propagation for hydrologic simulations under climate change. However, a core challenge is that the historical predictive uncertainty may not correctly characterize
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Projected Intensified Hydrological Processes in the Three-River Headwater Region, Qinghai Tibetan Plateau Water Resour. Res. (IF 5.4) Pub Date : 2024-05-06 Rashid Mahmood, Shaofeng Jia, Zhipin Ai
The Three-River Headwater Region, also known as China's water tower, is highly sensitive to climate change and has experienced profound hydrological alterations in the last few decades. This study assessed the potential impacts of climate change on all the important hydrological components such as precipitation, evapotranspiration, streamflow, snow-melt flow, and soil moisture (SM) content in the region
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Forest Disturbance Thresholds and Cumulative Hydrological Impacts Water Resour. Res. (IF 5.4) Pub Date : 2024-05-04 Yiping Hou, Xiaohua Wei
Forest disturbance threshold is defined as a critical disturbance level (e.g., % of forest cover change) in forested landscapes above which significant hydrological impacts are detected. Determining disturbance thresholds is critically important for supporting forest management to ensure the sustaining of ecological and hydrological functions. However, there are very few quantitative evaluations of
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Thank You to Our 2023 Reviewers Water Resour. Res. (IF 5.4) Pub Date : 2024-05-02 Georgia Destouni, Marc Bierkens, Andrea Castelletti, Simone Fatichi, Shafiqul Islam, Madan Kumar Jha, Stefan Kollet, Chiyuan Miao, Hamid Moradkhani, Xavier Sanchez-Vila, Audrey Sawyer, Kamini Singha, Kerstin Stahl, Peter Troch, Ellen Wohl
On behalf of the editorial board of Water Resources Research (WRR) and the entire water science community, we want to express our most heartfelt gratitude to all who reviewed manuscripts for the journal in 2023. Your great efforts have ensured and improved the high quality and impact of the WRR papers and generally the research in our field. In 2023, the 2,809 individuals listed below have contributed
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Numerical Prediction Uncertainty and Data Worth Analysis of Solute Transport in an Agricultural Clay Till Setting With Preferential Flow Water Resour. Res. (IF 5.4) Pub Date : 2024-04-30 Sachin Karan, Karsten H. Jensen, Torben O. Sonnenborg
With modern agricultural practices, it is essential to quantify flow and solute transport fluxes by numerical models and associated predictions. A major challenge in modeling preferential flow settings is the ability to constrain the often numerous parameters needed to physically represent these systems. Following this, there is a lack of understanding of what parameters and observations carry the
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Issue Information Water Resour. Res. (IF 5.4) Pub Date : 2024-04-26
No abstract is available for this article.
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Perennial and Non-Perennial Streamflow Regime Shifts Across California, USA Water Resour. Res. (IF 5.4) Pub Date : 2024-04-25 Jessica R. Ayers, Sarah M. Yarnell, Ethan Baruch, Robert A. Lusardi, Theodore E. Grantham
Despite rises in drought frequency and human water demands, streamflow regime shifts from perennial to non-perennial have not been evaluated in many arid/semi-arid regions. To document shifts, we created a methodology that classifies streams as naturally perennial or non-perennial. Our classification used historical, minimally disturbed-quality USGS streamflow gages (1950–2015) across California. The
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Tracking the Nearfield Evolution of an Initially Shallow, Neutrally Buoyant Plane Jet Over a Sloping Bottom Boundary Water Resour. Res. (IF 5.4) Pub Date : 2024-04-25 H. Shi, M. E. Negretti, J. Chauchat, K. Blanckaert, U. Lemmin, D. A. Barry
Understanding coastal plane jets which occur when a body of water discharges into an ocean or a lake through a channel or outlet is important, since they play a significant role in sediment, nutrient, and pollutant exchange. This study investigates the nearfield of initially shallow, neutrally buoyant plane jets, bounded by a free surface and a sloping bottom (Sloping Bottom Jet; SBJ) that issue into
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A Mixture Model With Slip Velocity for Saturated Granular-Liquid Free-Surface Flows Water Resour. Res. (IF 5.4) Pub Date : 2024-04-25 Jinbo Tang, Pengzhi Lin, Peng Cui
In this paper, a model is presented for modeling saturated granular-liquid free-surface flows, in which the volume-averaged mixture bulk velocity is employed to derive the balance equations for the mass and momentum of mixture flow. Additionally, an evolution equation of the slip velocity between granular-and liquid constituents is derived to describe the separation between these constituents. The
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Risk-Constrained Optimal Scheduling in Water Distribution Systems Toward Real-Time Pricing Electricity Market Water Resour. Res. (IF 5.4) Pub Date : 2024-04-25 Xinhong Zhou, Shipeng Chu, Tuqiao Zhang, Tingchao Yu, Yu Shao
In recent years, as a result of emerging renewable energy markets, several developed regions have already launched Real-Time Pricing (RTP) strategies for electricity markets. Establishing optimal pump operation for water companies in RTP electricity markets presents a challenging problem. In a RTP market, both positive and negative electricity prices are possible. These negative prices create economically
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Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global-Scale Modeling Using Neural Network Water Resour. Res. (IF 5.4) Pub Date : 2024-04-18 Hyekyeng Jung, Jan Saynisch-Wagner, Stephan Schulz
Due to the difficulties in estimating groundwater recharge and cross-boundary nature of many aquifers, estimating groundwater recharge at large scale has been called upon. Process-based models as well as data-driven models have been established to meet this need. Meanwhile, with the advent of explainable artificial intelligence (XAI) methods, data-driven machine learning models can take advantage of
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Deepwater Renewal in a Large, Deep Lake (Lake Geneva): Identifying and Quantifying Winter Cooling Processes Using Heat Budget Decomposition Water Resour. Res. (IF 5.4) Pub Date : 2024-04-18 N. Peng, U. Lemmin, F. Mettra, R. S. Reiss, D. A. Barry
Wintertime deepwater renewal, which is important for heat–oxygen–nutrient exchange in lakes, is traditionally considered to be mainly driven by 1D vertical convective cooling. However, differential cooling between shallow and deep waters can produce density currents that flow into deep layers. In order to determine the role that these two cooling processes play in deepwater renewal, field measurements
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Quantitative Visualization of Two-Phase Flow in a Fractured Porous Medium Water Resour. Res. (IF 5.4) Pub Date : 2024-04-18 Zhen Liao, Russell L. Detwiler, Esther S. Cookson, Wanjun Lei, Yi-Feng Chen
Two-phase fluid flow in fractured porous media impacts many natural and industrial processes but our understanding of flow dynamics in these systems is constrained by difficulties measuring the exchange of water between fracture and adjacent porous matrix. We present a novel experimental system that allows quantitative visualization of the air and water phases in a single analog fractured porous medium
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Field Observations Reveal How Plunging Mixing and Sediment Resuspension Affect the Pathway of a Dense River Inflow Into a Deep Stratified Lake Water Resour. Res. (IF 5.4) Pub Date : 2024-04-18 Koen Blanckaert, Love Råman Vinnå, Damien Bouffard, Ulrich Lemmin, David Andrew Barry
The pathway of dense river inflows into lakes, which affects the lake water quality, is not accurately predicted by existing models. The pathway of a dense riverine inflow in a lake with a submerged canyon is analyzed based on measurements during a 4-month period of weakening lake stratification and weakening density excess between river and epilimnion. In line with models, the dense riverine inflow
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Toward Improved Simulations of Disruptive Reservoirs in Global Hydrological Modeling Water Resour. Res. (IF 5.4) Pub Date : 2024-04-17 P. K. Shrestha, L. Samaniego, O. Rakovec, R. Kumar, C. Mi, K. Rinke, S. Thober
Accurate simulation of reservoirs has been a challenge for global hydrological models due to highly discontinuous water management and uncertainties in reservoir shape representation. In addition, at a global scale, it is crucial to consider those reservoirs that disrupt the downstream flow regime. We augment the mesoscale Hydrological Model with a newly developed lake module (LM) that incorporates
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Using Temporal Deep Learning Models to Estimate Daily Snow Water Equivalent Over the Rocky Mountains Water Resour. Res. (IF 5.4) Pub Date : 2024-04-17 Shiheng Duan, Paul Ullrich, Mark Risser, Alan Rhoades
In this study we construct and compare three different deep learning (DL) models for estimating daily snow water equivalent (SWE) from high-resolution gridded meteorological fields over the Rocky Mountain region. To train the DL models, Snow Telemetry (SNOTEL) station-based SWE observations are used as the prediction target. All DL models produce higher median Nash-Sutcliffe Efficiency (NSE) values
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Flow and Transport in Coastal Aquifer-Aquitard Systems: Experimental and Numerical Analysis Water Resour. Res. (IF 5.4) Pub Date : 2024-04-17 Jiaxu Zhang, Chunhui Lu, Chengji Shen, Yuxuan Liu, Adrian D. Werner, Chenming Zhang
Coastal aquifers are commonly layered, and thus, a clear understanding of groundwater flow and salt transport in layered coastal aquifers is important for managing fresh groundwater. However, the influence of leakage between adjacent aquifers on flow and transport processes remains largely unknown where the influence of tides is considered. This study used laboratory experiments and numerical simulation
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Effect of pH on Spontaneous Imbibition in Calcareous Rocks Water Resour. Res. (IF 5.4) Pub Date : 2024-04-17 Muhammad Andiva Pratama, Hasan Javed Khan
Reactive transport in porous media exhibits multifaceted interactions that are dependent on the matrix and fluid properties, and which ultimately alter these properties. A set of calcareous rock samples with unique mineralogy and varying petrophysical properties are selected for this study. A capillary rise experiment is performed in each sample, first with deionized water and then with a dilute, pH
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Bed Shear Stress and Near-Bed Flow Through Sparse Arrays of Rigid Emergent Vegetation Water Resour. Res. (IF 5.4) Pub Date : 2024-04-15 J. Aliaga, J. Aberle
Vegetation is an essential component of natural rivers and has significant effects on flow and morphodynamic processes. Although progress has been made in characterizing flow resistance in vegetated flows, the impact of vegetation on bed shear stress, a key driver of sediment transport, still needs better characterization and understanding. This research, explores bed shear stress and near-bed flow
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Incorporation of Sub-Resolution Porosity Into Two-Phase Flow Models With a Multiscale Pore Network for Complex Microporous Rocks Water Resour. Res. (IF 5.4) Pub Date : 2024-04-15 Sajjad Foroughi, Branko Bijeljic, Ying Gao, Martin J. Blunt
Porous materials, such as carbonate rocks, frequently have pore sizes which span many orders of magnitude. This is a challenge for models that rely on an image of the pore space, since much of the pore space may be unresolved. In this work, sub-resolution porosity in X-ray images is characterized using differential imaging which quantifies the difference between a dry scan and 30 wt% potassium iodide
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A Mass-Conserving-Perceptron for Machine-Learning-Based Modeling of Geoscientific Systems Water Resour. Res. (IF 5.4) Pub Date : 2024-04-15 Yuan-Heng Wang, Hoshin V. Gupta
Although decades of effort have been devoted to building Physical-Conceptual (PC) models for predicting the time-series evolution of geoscientific systems, recent work shows that Machine Learning (ML) based Gated Recurrent Neural Network technology can be used to develop models that are much more accurate. However, the difficulty of extracting physical understanding from ML-based models complicates
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Convection-Permitting Climate Models Can Support Observations to Generate Rainfall Return Levels Water Resour. Res. (IF 5.4) Pub Date : 2024-04-13 B. Poschlod, J. Koh
Information about the frequency and intensity of extreme precipitation is generally derived from fitting extreme value models using point-observations, but the regionalization of these models is challenging. Here we propose using high-resolution convection-permitting climate model output as covariates for the estimation of observation-based spatial rainfall return levels. We apply the Weather and Forecasting
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Dune Development Dominates Flow Resistance Increase in a Large Dammed River Water Resour. Res. (IF 5.4) Pub Date : 2024-04-13 Yong Hu, Dongfeng Li, Jinyun Deng, Yao Yue, Junxiong Zhou, Chunrui Yang, Ninghui Zheng, Yitian Li
Dunes are important for bedload transport in almost all large river systems and exert an important control flow resistance. Investigating dunes is fundamental for simulating discharge, sediment transport, and flood routing. However, the spatiotemporal dynamics of dunes and flow resistance remain poorly understood in large alluvial river systems mainly due to the lack of high-resolution data. Here we
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Estimating Residential Water Demand Under Systematic Shifts Between Uniform Price (UP) and Increasing Block Tariffs (IBT) Water Resour. Res. (IF 5.4) Pub Date : 2024-04-08 A. M. Chovar Vera, F. A. Vásquez-Lavín, R. Ponce Oliva
We evaluate whether changing from a uniform price (UP) to an increasing block tariff (IBT) changes people's behavior. We exploit a unique setting in which the price scheme moves back and forth yearly from UP to IBT. We discuss the effectiveness of IBT in reducing summer consumption. This issue is relevant to many countries and policymakers interested in designing tariff structures. There is no evidence
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A High-Resolution, Daily Hindcast (1990–2021) of Alaskan River Discharge and Temperature From Coupled and Optimized Physical Models Water Resour. Res. (IF 5.4) Pub Date : 2024-04-08 Dylan Blaskey, Michael N. Gooseff, Yifan Cheng, Andrew J. Newman, Joshua C. Koch, Keith N. Musselman
Water quality and freshwater ecosystems are affected by river discharge and temperature. Models are frequently used to estimate river temperature on large spatial and temporal scales due to limited observations of discharge and temperature. In this study, we use physically based river routing and temperature models to simulate daily discharge and river temperature for rivers in 138 basins in Alaska
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Numerical Modeling of Potential Large Wood Entrainment in Rivers: Application of Hybrid Modeling in the Inter-Dam Reach of the Dyje River, Czechia Water Resour. Res. (IF 5.4) Pub Date : 2024-04-05 M. Hlavňa, Z. Máčka, J. Záthurecký
Mobilization of large wood in river channels during floods represents a hazardous factor, augmenting flood risk and endangering infrastructures such as bridges, weirs, and reservoir dams. A hybrid modeling approach combining numerical models with field-based surveys has been recently used to elucidate the processes of LW entrainment and deposition in rivers. We used two-dimensional hydraulic modeling
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Potential Barriers to Adaptive Actions in Water–Rice Coupled Systems in Japan: A Framework for Predicting Soft Adaptation Limits Water Resour. Res. (IF 5.4) Pub Date : 2024-04-05 Asari Takada, Takeo Yoshida, Yasushi Ishigooka, Atsushi Maruyama, Ryoji Kudo
The changing climate makes it more difficult to manage water resources and food production sustainably. Various adaptation measures have been proposed to moderate the negative impacts of climate change; however, implementation of these measures may be hampered by other factors even if the benefits are acknowledged—a situation termed “soft adaptation limits” by the IPCC. We hypothesized that societal
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Reactive Transport Modeling for Exploring the Potential of Water Quality Sensors to Estimate Hydrocarbon Levels in Groundwater Water Resour. Res. (IF 5.4) Pub Date : 2024-04-05 C. L. R. Wu, R. M. Wagterveld, B. M. van Breukelen
Petroleum products have contaminated groundwater with harmful organic compounds, such as benzene, toluene, ethylbenzene, and xylenes (BTEX). Collecting and analyzing polluted groundwater samples is expensive and undertaken infrequently. However, quick remedial action in case of unexpected events requires continuous monitoring. In-situ water quality sensors (pH, EC, DO, ORP) may show correlations with
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Benefit of Multivariate Model Calibration for Different Climatic Regions Water Resour. Res. (IF 5.4) Pub Date : 2024-04-04 S. Pool, K. Fowler, M. Peel
Hydrological models are traditionally calibrated against observed discharge. However, for a given model, similar performance for discharge simulation can be achieved through a variety of parameter combinations, some of which produce unrealistic simulations of non-discharge variables. Thus, considering non-discharge variables in calibration can help to reduce equifinality and give more realistic simulations
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Deterioration Models and Service Life Prediction of Vertical Assets of Urban Water Systems Water Resour. Res. (IF 5.4) Pub Date : 2024-04-04 M. Cabral, D. Loureiro, C. Amado, D. Covas
This study proposes a methodology for developing deterioration models and predicting the service lives of vertical assets of urban water systems (i.e., water storage tanks and pumping stations) using regression analysis. The main factors contributing to the deterioration of these assets are analyzed. Simple and multiple linear regression models of average and maximum deterioration are calculated for
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Simulation of Drying-Rewetting Processes in Numerical Groundwater Models Using a New Picard Iteration-Based Method Water Resour. Res. (IF 5.4) Pub Date : 2024-04-04 Chuiyu Lu, Wen Lu, Qingyan Sun, Xin He, Lingjia Yan, Tao Qin, Chu Wu, Shangqi Han, Zhenjiang Wu, Weichen Wu
When simulating groundwater flow in unconfined and convertible aquifers using a groundwater model with the block-centered finite-difference approach, such as MODFLOW, it frequently encounters drying and rewetting of cells. Although many drying and rewetting simulation methods have been proposed in the past, balancing simulation accuracy and convergence capability all at once is difficult. MODFLOW-2005
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Using Baseflow Ensembles for Hydrologic Hysteresis Characterization in Humid Basins of Southeastern China Water Resour. Res. (IF 5.4) Pub Date : 2024-04-04 Hao Chen, Saihua Huang, Yue-Ping Xu, Ramesh S. V. Teegavarapu, Yuxue Guo, Hui Nie, Huawei Xie
Baseflow plays a vital role in protecting the environment and ensuring a stable water supply for farming. There are still gaps in the current understanding of baseflow convergence rates in the humid region due to the abundance of rainfall and the high-water table. Therefore, this study focused on the evolution and hysteresis characteristics of baseflow in humid basins of southeastern China. The baseflow
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Significance of Low-Velocity Zones on Solute Retention in Rough Fractures Water Resour. Res. (IF 5.4) Pub Date : 2024-04-03 Jordi Sanglas, Paolo Trinchero, Scott L. Painter, Vladimir Cvetkovic, Antti Poteri, Jan-Olof Selroos, Liangchao Zou
Natural fractures are characterized by high internal heterogeneity. This internal variability is the cause of flow channeling, which in turn leads to contaminant transport taking place primarily along the high-velocity channels. Mass exchange between the high-velocity channels and the low-velocity zones has the potential to enhance contaminant retention, due to solute diffusion into the low-velocity
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Where in the World Are Vegetation Patterns Controlled by Hillslope Water Dynamics? Water Resour. Res. (IF 5.4) Pub Date : 2024-04-03 Shuping Li, Dai Yamazaki, Xudong Zhou, Gang Zhao
Some recent land surface models can explicitly represent land surface process and focus more on sub-grid terrestrial features. Many studies have involved the analysis of how hillslope water dynamics determine vegetation patterns and shape ecologically and hydrologically important landscapes, such as desert riparian and waterlogged areas. However, the global locations and abundance of hillslope-dominated
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Climate-Driven Increases in Stream Metal Concentrations in Mineralized Watersheds Throughout the Colorado Rocky Mountains, USA Water Resour. Res. (IF 5.4) Pub Date : 2024-04-02 Andrew H. Manning, Tanya N. Petach, Robert L. Runkel, Diane M. McKnight
Increasing stream metal concentrations apparently caused by climate warming have been reported for a small number of mountain watersheds containing hydrothermally altered bedrock with abundant sulfide minerals (mineralized watersheds). Such increases are concerning and could negatively impact downstream ecosystem health, water resources, and mine-site remediation efforts. However, the pervasiveness
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Groundwater Circulation Within the Mountain Block: Combining Flow and Transport Models With Magnetotelluric Observations to Untangle Its Nested Nature Water Resour. Res. (IF 5.4) Pub Date : 2024-03-31 D. Gonzalez-Duque, J. D. Gomez-Velez, M. A. Person, S. Kelley, K. Key, D. Lucero
Mountains are vital water sources for humans and ecosystems, continuously replenishing lowland aquifers through surface runoff and mountain recharge. Quantifying these fluxes and their relative importance is essential for sustainable water resource management. However, our mechanistic understanding of the flow and transport processes determining the connection between the mountain block and the basin