Water Resources Research最新文献_第8页

Stochastic Ecohydrological Perspective on Semi-Distributed Rainfall-Runoff Dynamics 半分布降雨径流动态的随机生态水文视角

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-20 DOI: 10.1029/2025wr040606

Mark S. Bartlett, Elizabeth Cultra, Nathan Geldner, Amilcare Porporato

{"title":"Stochastic Ecohydrological Perspective on Semi-Distributed Rainfall-Runoff Dynamics","authors":"Mark S. Bartlett, Elizabeth Cultra, Nathan Geldner, Amilcare Porporato","doi":"10.1029/2025wr040606","DOIUrl":"https://doi.org/10.1029/2025wr040606","url":null,"abstract":"Quantifying watershed process variability consistently with climate change and ecohydrological dynamics remains a central challenge in hydrology. Stochastic ecohydrology characterizes hydrologic variability through probability distributions that link climate, hydrology, and ecology. However, these approaches are often limited to small spatial scales (e.g., point or plot level) or focus on specific fluxes (e.g., streamflow), without accounting for the entire water balance at the basin scale. While semi-distributed models account for spatial heterogeneity and upscaled hydrologic fluxes, they lack the analytical simplicity of stochastic ecohydrology or the SCS-CN method and, perhaps more importantly, do not directly characterize probability distributions that integrate the effects of past random variability in hydroclimatic conditions. This hinders an efficient characterization of hydrological statistics at the watershed scale. To overcome these limitations, we merge stochastic ecohydrology, the spatial upscaling of semi-distributed modeling, and the SCS-CN rainfall-runoff partitioning. The resulting unified model analytically characterizes watershed ecohydrological and hydrological statistics using probability density functions (PDFs) that are functions of climate and watershed model parameters (e.g., baseflow coefficient)—something unattainable with the Monte Carlo methods of traditional stochastic hydrology. Calibrated across 81 watersheds in Florida and southern Louisiana, the model PDFs precisely capture the long-term average water balance and runoff variance, as well as the runoff quantiles with a median Nash–Sutcliffe efficiency of 0.98. These results also advance the SCS-CN method by providing an analytical PDF for the Curve Number (CN), explicitly linked to climate variables, baseflow, and the long-term water balance partitioning described by the Budyko curve.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"16 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical Investigation of Evaporation-Driven Salt Uptake in Store-Release Soil Covers Over Hypersaline Tailings 高盐尾砂储放覆盖层蒸发驱动盐吸收的数值研究

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-20 DOI: 10.1029/2025wr039959

Wenqiang Zhang, Chenming Zhang, David J. Williams, Mansour Edraki

{"title":"Numerical Investigation of Evaporation-Driven Salt Uptake in Store-Release Soil Covers Over Hypersaline Tailings","authors":"Wenqiang Zhang, Chenming Zhang, David J. Williams, Mansour Edraki","doi":"10.1029/2025wr039959","DOIUrl":"https://doi.org/10.1029/2025wr039959","url":null,"abstract":"Placing moisture store-release (SR) soil covers over hypersaline tailings has been a promising way to rehabilitate closed tailings storage facilities. However, the performance of SR covers in limiting evaporation-driven salt migration remains less investigated. A one-dimensional numerical model that couples the transport of liquid water, water vapor, heat and solute was developed. The model was calibrated using monitored data obtained from an instrumented column comprising a monolithic silt cover overlying compacted bauxite residue. The validated model was then applied to investigate evaporation behavior and salt distribution in monolithic covers using three representative cover materials over both compacted and coarse tailings. Simulations of the two uncovered tailings indicated that tailings after compaction can significantly impede salt accumulation with depth, preventing surface salt crust formation. The simulated six cover scenarios suggested that a developing mixing zone of freshwater and saltwater in the cover during desiccation and its upper boundary can be termed the salinization plane, which represents saltwater intrusion. Under given atmospheric conditions, the maximum salinized depth in the cover was determined by the location where the salinization plane overlapped with the vaporization plane. In 1-year drying simulations, the fine sand cover was most vulnerable to salinization as over two-thirds of the depths were affected by salt uptake. Although the clay cover could effectively limit salt uptake and keep tailings saturated in the 1-year drying process, the silt cover was an optimal material for SR covers due to its robust ability to limit salt uptake and moderate water-release capacity.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"161 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying Experimental Impacts on Non-Newtonian Foam Characterization for Flow Modeling in Porous Media: Insights From Foam-Quality and Flow Rate Scan Experiments 定量实验对多孔介质流动建模中非牛顿泡沫表征的影响：来自泡沫质量和流量扫描实验的见解

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-20 DOI: 10.1029/2024wr039536

Anderson de Moura Ribeiro, Leandro Freitas Lopes, Bernardo Martins Rocha, Rodrigo Weber dos Santos, Juliana Maria da Fonseca Façanha, Aurora Pérez-Gramatges, Grigori Chapiro

{"title":"Quantifying Experimental Impacts on Non-Newtonian Foam Characterization for Flow Modeling in Porous Media: Insights From Foam-Quality and Flow Rate Scan Experiments","authors":"Anderson de Moura Ribeiro, Leandro Freitas Lopes, Bernardo Martins Rocha, Rodrigo Weber dos Santos, Juliana Maria da Fonseca Façanha, Aurora Pérez-Gramatges, Grigori Chapiro","doi":"10.1029/2024wr039536","DOIUrl":"https://doi.org/10.1029/2024wr039536","url":null,"abstract":"Foam injection is a prominent technique for mitigating the effects of high gas mobility in porous media for Enhanced Oil Recovery, Carbon Capture, Utilization and Storage and well-stimulation. Experiments reveal that the foam's apparent viscosity exhibits shear-thinning behavior, meaning its viscosity decreases with superficial velocity. Foam parameters are commonly characterized using only single-velocity foam-quality scan data. However, this approach can introduce significant uncertainty when evaluating foam's apparent viscosity at different velocities. This study conducts foam-quality and flow rate scan experiments. Characterization of foam, using both single- and multi-velocity data, is performed using computational models and the solution of the associated inverse problems. Identifiability analysis and inverse and forward uncertainty quantification are performed to evaluate errors associated with the different data sets. The results demonstrate that relying only on foam-quality scan data leads to underestimation or overestimation of foam's apparent viscosity, with errors of up to 62.5%. The impact of these misfitting issues is assessed in a heterogeneous scenario, where differences in production levels, breakthrough time, and pressure drops are analyzed with errors of 2.5%, 14.8%, and 45%, respectively. Therefore, this study underscores the importance of aligning laboratory experiments with parameter estimation methodologies that accurately characterize the non-Newtonian behavior of foams.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"31 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long Short-Term Memory Model to Forecast River Ice Breakup Throughout Alaska USA 美国阿拉斯加州河流冰崩解的长短期记忆模型

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-20 DOI: 10.1029/2025wr040635

Russ Limber, Forrest M. Hoffman, Jon Schwenk, Jitendra Kumar

{"title":"Long Short-Term Memory Model to Forecast River Ice Breakup Throughout Alaska USA","authors":"Russ Limber, Forrest M. Hoffman, Jon Schwenk, Jitendra Kumar","doi":"10.1029/2025wr040635","DOIUrl":"https://doi.org/10.1029/2025wr040635","url":null,"abstract":"The annual breakup of river ice in Arctic regions poses significant risk of ice jam flooding, causing property damage, altering ecosystems, and jeopardizing inhabitants. Predicting the timing of the annual breakup is crucial for residents to prepare for potential flooding and assess the safety of rivers for transportation. This analysis develops a deep learning algorithm using widely available meteorological and geospatial data products to forecast river ice breakup. We selected 33 locations along eight major rivers across Alaska, USA, and Western Canada, leveraging annual breakup dates from the Alaska-Pacific River Forecast Center database. Daily meteorological data from Daymet and static watershed attributes from the pan-Arctic catchment database were used to develop a Long Short-Term Memory (LSTM) model for predicting river ice breakup. Of the 33 locations, 23 were used for tuning, training and testing the LSTM. The model demonstrated high efficacy, predicting the annual breakup date with a mean absolute error (MAE) of 5.40 days, standard deviation of 4.03 days and mean absolute percentage error (MAPE) of 4.37%. The spatial generalizability of the LSTM was evaluated using the remaining 10 locations as holdouts, with most locations showing MAPE <8% over the entire time series (1980–2023). Additionally, we retrieved 51 long-range seasonal forecast ensembles from the Copernicus Climate Data Store and applied the trained model to them to showcase the capability of the LSTM to predict future river ice breakup using operational weather forecasts. LSTM was able to predict the breakup dates within 5–14 days of observed breakup.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"1 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging Spatiotemporal Redundancy for Sensor Data Imputation in Water Distribution Networks 基于时空冗余的配水网络传感器数据输入

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-19 DOI: 10.1029/2025wr040528

Ang Xu, Avi Ostfeld, Yu Shao, Tuqiao Zhang, Shipeng Chu, Yu Tian, Dewu Jian

{"title":"Leveraging Spatiotemporal Redundancy for Sensor Data Imputation in Water Distribution Networks","authors":"Ang Xu, Avi Ostfeld, Yu Shao, Tuqiao Zhang, Shipeng Chu, Yu Tian, Dewu Jian","doi":"10.1029/2025wr040528","DOIUrl":"https://doi.org/10.1029/2025wr040528","url":null,"abstract":"The rapid digital transformation of Water Distribution Networks (WDNs) has led to the collection of multi-sensor time series with high temporal and spatial resolution. However, missing data poses a significant challenge, undermining the usability and effectiveness of data-driven applications. Performing missing data imputation is essential to enhance data quality and support intelligent management. This study first reveals that WDN sensor data in tensor form inherently exhibit spatiotemporal redundancy across three dimensions: inter-sensor similarity, intra-day regularity, and daily recurrence. The redundancy can be algebraically characterized by the low-rank structure of WDN tensor data, providing a robust foundation for imputation. Based on these findings, a novel Low-rank Autoregressive Tensor Completion (LATC) approach is proposed to efficiently impute spatiotemporal WDN data. The LATC combines autoregressive regularization with standard low-rank tensor completion, effectively capturing both global redundancy and local correlation of multi-sensor WDN data. Finally, the LATC is validated on four real-world and simulated WDN data sets under eight different missing scenarios. Extensive experiments show that the LATC significantly outperforms state-of-the-art baseline methods, achieving accurate imputation even under severe corruption and complex missing patterns.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"2 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GeoFUSE: An Efficient Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction GeoFUSE：一种有效的海水入侵预测和不确定性降低替代模型

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-19 DOI: 10.1029/2024wr038898

Su Jiang, Chuyang Liu, Dipankar Dwivedi

{"title":"GeoFUSE: An Efficient Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction","authors":"Su Jiang, Chuyang Liu, Dipankar Dwivedi","doi":"10.1029/2024wr038898","DOIUrl":"https://doi.org/10.1029/2024wr038898","url":null,"abstract":"Seawater intrusion into coastal aquifers poses a significant threat to groundwater resources, particularly with rising sea levels due to climate change. Accurate modeling and robust uncertainty quantification of seawater intrusion are crucial for effective groundwater management. However, traditional numerical methods are computationally expensive, often requiring days to weeks for ensemble-based uncertainty quantification. To address these challenges, we develop GeoFUSE, a framework that integrates the U-net Fourier neural operator for high-fidelity surrogate modeling, Principal Component Analysis for geological model dimension reduction, and the Ensemble Smoother with Multiple Data Assimilation for uncertainty quantification. GeoFUSE enables fast and efficient seawater intrusion simulations while significantly reducing uncertainty in flow predictions. We apply GeoFUSE to a 2D cross-section of the Beaver Creek tidal stream–floodplain system in Washington State, demonstrating its capabilities and adaptability to hydrogeological systems. The framework achieves a speedup of 360,000 times compared to high-fidelity numerical simulations, reducing simulation times from hours to seconds while maintaining predictive accuracy. By integrating measurement data from monitoring wells, GeoFUSE further reduces geological uncertainty and improves the predictive accuracy of salinity distribution over a 20-year period. Our results demonstrate that GeoFUSE significantly enhances computational efficiency, providing a robust tool for real-time uncertainty quantification in groundwater management. Future work will extend GeoFUSE to 3D models and incorporate additional factors such as sea-level rise and extreme weather events, broadening its applicability to a wider range of coastal and subsurface flow systems.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"37 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Controls of Upstream Sediment Erosion on the Deposit Characteristics of Debris Flows 上游泥沙侵蚀对泥石流沉积特征的控制

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-19 DOI: 10.1029/2024wr039208

Hongchao Zheng, Qi Liang, Xinli Hu, Zhenming Shi, Chenzhi Xia, Tjalling De Haas

{"title":"Controls of Upstream Sediment Erosion on the Deposit Characteristics of Debris Flows","authors":"Hongchao Zheng, Qi Liang, Xinli Hu, Zhenming Shi, Chenzhi Xia, Tjalling De Haas","doi":"10.1029/2024wr039208","DOIUrl":"https://doi.org/10.1029/2024wr039208","url":null,"abstract":"Debris flows can erode mountainsides, cover alluvial fans, and bury people and property by rapid deposition. The deposition characteristics of debris flows are strongly affected by their dynamics and composition, which depend on upstream sediment erosion, but how is still under scientific debate. Here, we conduct a series of experiments to analyze the effects of debris flow grain-size gradation and eroded bed sediment on deposition characteristics. Debris flows deposit on a gentle runout zone and form coarse-grained lateral levees and front lobes and a finer-grained channelized interior due to grain segregation. We show that affected by a high basal pore-fluid pressure, released mud-sand-gravel flows present much flatter deposits than sand-gravel flows. Runout distance, width and inundated area increase with higher bed water content due to the growths of flow volume and momentum. Inundated area correlates to deposition volume with a power relation for all experiments. Savage number shows the greatest positive correlation with runout and inundated area among all factors, suggesting that potential energy of debris flow is more strongly consumed by grain collision stress than by basal friction stress. Debris flows can deposit as a single nose or multiple fingers depending on the relative magnitude between the friction force at the flow front balanced by downslope gravity and the thrust force of the following channelized flow with a higher speed. Our results facilitate the mapping of debris-flow impact zones and provide a mechanistic model for predicting deposit shape in debris flows and other geophysical flows like pyroclastic flows.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"79 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Riverine Isoscapes Modeling in the Yangtze River Basin, China: Insights Into Basin Processes and Source-Water Contributions 中国长江流域河流等高线模拟：对流域过程和水源贡献的洞察

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-19 DOI: 10.1029/2024wr039587

Mengyao Ding, Huawu Wu, Ruiyu Lei, Hongxiang Fan, Jing Li, Kaiwen Li, Qing Zhu, Rongrong Wan, Congsheng Fu

{"title":"Riverine Isoscapes Modeling in the Yangtze River Basin, China: Insights Into Basin Processes and Source-Water Contributions","authors":"Mengyao Ding, Huawu Wu, Ruiyu Lei, Hongxiang Fan, Jing Li, Kaiwen Li, Qing Zhu, Rongrong Wan, Congsheng Fu","doi":"10.1029/2024wr039587","DOIUrl":"https://doi.org/10.1029/2024wr039587","url":null,"abstract":"The utilization of surface water isoscapes facilitates the characterization of source-water contributions and hydrological processes within a basin. However, intricate river network topology poses significant challenges in applying this approach to large and complex basins. In this study, a spatial stream network model (SSNM) was employed to create isoscapes of surface waters using 852 river isotopic data across the Yangtze River Basin (YRB). Results showed that precipitation and river water δ18O values displayed a similar trend, characterized by the lowest (highest) values in the upper (lower) reaches of the YRB. River water δ18O exhibited multiple spatial dependencies regarding the flow-connected, flow-unconnected, and Euclidean spatial relationships from the shape of semivariograms, indicating basin processes within the river network and terrestrial landscape across the YRB. The riverine δ18O isoscapes were predicted by coupling environmental covariates including hydrologic, climatic drivers, and landscapes with spatial autocovariance structures across the YRB. The predictive accuracy of isoscapes from SSNM was distinctly improved from 66% using linear model to 87%. Maps of source contributions from SSNM showed higher contribution from meltwater of glacier/permafrost in the upper reaches of YRB (>60%). In contrast, precipitation and groundwater were the main contributing recharge sources due to the distributed aquifer and evaporative effects on river water in the mid-lower reaches of YRB. The findings present a novel approach for the representation of isoscapes in large-scale, intricate basins, offering valuable evidence for provenance studies and basin management.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"79 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reservoir Operational Strategies for Sustainable Sand Management in the Colorado River 科罗拉多河可持续沙管理的水库操作策略

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-18 DOI: 10.1029/2024wr038315

Gerard Salter, David J. Topping, Jian Wang, John C. Schmidt, Charles B. Yackulic, Lucas S. Bair, Erich R. Mueller, Paul E. Grams

{"title":"Reservoir Operational Strategies for Sustainable Sand Management in the Colorado River","authors":"Gerard Salter, David J. Topping, Jian Wang, John C. Schmidt, Charles B. Yackulic, Lucas S. Bair, Erich R. Mueller, Paul E. Grams","doi":"10.1029/2024wr038315","DOIUrl":"https://doi.org/10.1029/2024wr038315","url":null,"abstract":"Climate change and increasing societal demands for water pose challenges for the management of dam-regulated rivers. Management decisions impact the environment of these rivers, creating the need to balance societal needs with environmental conservation. Here we present a modeling framework that optimizes resource benefits within imposed water use goals for the Colorado River in Grand Canyon, where sandbars are a valued natural feature. The current sand-management paradigm utilizes controlled dam-release floods to build and maintain sandbars without exhausting the limited sand supplied by tributaries downstream from Glen Canyon Dam, which blocks all sand supplied from upriver. High monthly releases outside of controlled floods erode sandbars and cause net sand export from Grand Canyon, reducing the sand available to build sandbars. Releases are high in some months owing to the need to adjust flows to meet annual delivery targets, which can be updated throughout the year. Here, we present alternative strategies for operations that avoid high releases, while meeting water storage and delivery goals. We test these strategies using a simplified reservoir model which accounts for forecast uncertainty. We show how these strategies affect sand mass balance and sandbar size using previously developed models. Strategies optimal for sustainable sandbar building maintained sufficient reservoir elevations for implementing controlled floods, avoided high monthly releases by relaxing annual release constraints, and implemented controlled floods in fall immediately following tributary sand inputs. Coordinated modeling of reservoir operations and environmental resources is valuable for managers seeking to balance societal and environmental needs in regulated rivers worldwide.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"73 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the Ice Mass and Heat Budget in Shallow Central Asian Lakes With Focus on Ice–Water Interaction 基于冰水相互作用的中亚浅湖冰质量和热收支模拟

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2025-09-18 DOI: 10.1029/2025wr040070

Puzhen Huo, Peng Lu, Matti Leppäranta, Bin Cheng, Chunjiang Li, Xiang Fu, Miao Yu, Zhijun Li, Xuewei Li

{"title":"Modeling the Ice Mass and Heat Budget in Shallow Central Asian Lakes With Focus on Ice–Water Interaction","authors":"Puzhen Huo, Peng Lu, Matti Leppäranta, Bin Cheng, Chunjiang Li, Xiang Fu, Miao Yu, Zhijun Li, Xuewei Li","doi":"10.1029/2025wr040070","DOIUrl":"https://doi.org/10.1029/2025wr040070","url":null,"abstract":"A key challenge in lake ice modeling is quantifying the heat flux from water to ice. In shallow Central Asian lakes, where the seasonal ice cover mainly consists of columnar congelation ice, sunlight penetration enables strong interactions between ice and water. The evolution of ice cover in Lake Ulansu (Ulansuhai, Wuliangsuhai) in northern China was investigated via the High-resolution Thermodynamic Snow and Ice (HIGHTSI) model. Atmospheric forcing was provided by calibrated ERA5 reanalysis data, and the initial freeze-up dates were identified from remote sensing observations. A new parameterization of the water–ice heat flux (Fw), which is suitable for shallow lakes, was proposed as Fw = aQsw + b, where Qsw represents the solar heating of water and a and b are fitted coefficients. The model showed high correlations (>0.9) and low errors (<5 cm for ice thickness; <2°C for ice temperature) with respect to field observations. Throughout the ice season, long- and shortwave radiation promoted ice growth and melting, respectively. Surface melting and sublimation accounted for 9.5% and 9.8%, respectively, of the total ice decay, and the water–ice heat flux Fw = −17.5 ± 13.0 W m−2 was critical for simulation accuracy. Furthermore, despite the shallow depth, the lake released over 100 W m−2 of heat into the atmosphere for 2 days after break-up. These findings highlight the climatic sensitivity and support sustainable water resource management of more than 10,000 shallow lakes in Central Asia.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"41 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145084247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0