Water Resources Research最新文献_第7页

Laboratory Investigation of Well Storage‐Mixing Effect on High‐Stress Low‐Flow Groundwater Sampling Approach 高应力低流量地下水取样方法中井储混合效应的实验室研究

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-29 DOI: 10.1029/2025wr042659

Yu He,Bojun Li,Haiying Huang,Deyi Hou,Jian Luo

{"title":"Laboratory Investigation of Well Storage‐Mixing Effect on High‐Stress Low‐Flow Groundwater Sampling Approach","authors":"Yu He,Bojun Li,Haiying Huang,Deyi Hou,Jian Luo","doi":"10.1029/2025wr042659","DOIUrl":"https://doi.org/10.1029/2025wr042659","url":null,"abstract":"Abstract Conventional constant‐rate sampling methods are inefficient in low‐permeability, low‐storativity formations, where water from casing storage persistently biases collected samples. The High‐Stress Low‐Flow (HSLF) approach addresses this limitation by switching from a high to a low pumping rate, using the drawdown transition to create a sampling window in which downward movement and mixing of casing storage are minimized. In this study, we investigated the purging process of the HSLF approach through controlled experiments in a physical well model, measuring transient drawdown and solute mixing with pressure transducers and the light‐attenuation (LA) technique. A well storage‐mixing model for bounded confined aquifers was developed to interpret the laboratory results and scale them to field conditions. Results show that when the switch occurs later and the pumping‐rate ratio is sufficiently high, a sampling window forms. In bounded aquifers within the tank, the window length approaches a steady‐state limit, whereas in large field‐scale aquifers it increases linearly with later switch times. Comparisons between the constant‐rate and two‐stage purging methods confirm that, with an optimal switch time and pumping‐rate ratio, the HSLF approach effectively minimizes casing storage effect, accelerates mixing, and substantially reduces purge volume and time across all sampling scenarios. Observed drawdown and mixing behaviors are generally consistent with model predictions, and analytical extension of the aquifer domain suggests the potential applicability of the HSLF approach at the field scale. Nonetheless, a comprehensive field study is required to fully assess and validate its performance under complex hydrogeologic conditions.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"35 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893645","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

Disentangling the Regional and Contextual Dependencies of Climate Effects on Global Maize Yield 气候影响对全球玉米产量的区域和背景依赖性分析

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-29 DOI: 10.1029/2026wr043486

Yunmeng Zhao,Chiyuan Miao

{"title":"Disentangling the Regional and Contextual Dependencies of Climate Effects on Global Maize Yield","authors":"Yunmeng Zhao,Chiyuan Miao","doi":"10.1029/2026wr043486","DOIUrl":"https://doi.org/10.1029/2026wr043486","url":null,"abstract":"Abstract Maize is a cornerstone of global food security, yet the effects of interannual climate variability on its yield under varying production contexts remain not fully understood. Using Köppen climate zones, we coupled random forests with Shapley additive explanations to disentangle water‐heat drivers from three perspectives: yield state, cropping calendar, and their combined scenarios. Between 1982 and 2016, interannual climate variability explained 23%–45% of maize yield variability across zones and increasingly offset the yield benefits from technological advancements. From the yield state perspective, except in arid regions, the dominant climatic drivers differed between yield‐gain and yield‐loss scenarios. Notably, across all zones, key climatic drivers exhibited stronger strength in enhancing yield loss than in enhancing yield gain. From the cropping calendar perspective, compared to within‐year, cross‐year cropping in arid and warm temperate zones shifted dominant drivers from heat to water indices and triggered interactions among key drivers, amplifying yield risk under unfavorable conditions. Moreover, the contribution of extreme temperature indicators generally increased across all combined scenarios. In warm temperate zones, interannual variations in heat stress degree days became the dominant driver in cross‐year yield‐gain and yield‐loss scenarios, contributing 27% and 25%, respectively. Furthermore, two effect patterns were identified: one where main effects and interaction effects jointly amplified yield variability, and another where main effects were suppressed while interaction effects still amplified. Our findings enhance the comprehensive understanding of the climate–yield relationship and provide a scientific basis for developing targeted adaptation strategies.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"8 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893646","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

Morphological State Transitions and Sediment Transport Variability in Braided Rivers 辫状河形态状态转变与泥沙输运变率

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-29 DOI: 10.1029/2026wr044293

C. Gotelli,C. Ancey

{"title":"Morphological State Transitions and Sediment Transport Variability in Braided Rivers","authors":"C. Gotelli,C. Ancey","doi":"10.1029/2026wr044293","DOIUrl":"https://doi.org/10.1029/2026wr044293","url":null,"abstract":"Abstract Sediment transport in braided rivers shows significant temporal variability, characterized by intense bursts of transport rates even under steady‐state conditions. These fluctuations are often viewed as the consequence of random variations in the local hydraulic conditions and sediment movement. While such explanations emphasize small‐scale processes, they do not account for how larger‐scale channel structure may organize these fluctuations. The role of reach‐scale channel morphology in controlling sediment transport remains unexplored. Here we show that the temporal variability of sediment transport results from switching between a finite set of recurrent morphological configurations. We used the results of a former long‐term (1200‐hr) laboratory experiment conducted under constant water discharge and sediment supply, in which 16 morphological states were identified using image processing. The present paper shows that the temporal evolution of these states can be modeled using a discrete‐time Markov process. We assume that sediment transport depends on the active state of the channel. The state‐dependent transport rates can be simulated using either an empirical probability distribution fitted to the data or a Gamma distribution with parameters dependent on stream power. We introduced a third model that ignores morphological state, and simulates transport rates using the bootstrap technique. We used the three models to generate long time series of transport rates, the ensemble statistics of which were compared with the experimental statistics. The three models perform equally well for predicting the mean transport rate and its variance, but the purely Markovian model is superior for predicting the temporal features of transport rates. These findings indicate that variability in bedload transport rates mainly results from the persistence and succession of a finite set of morphological states.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"9 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893644","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

Attributing Runoff and Non‐Point Source Pollution Changes to Climate and Human Drivers in the Weihe River Basin, China 渭河流域径流和非点源污染变化的气候和人类驱动因素

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-28 DOI: 10.1029/2026wr043466

Yuhan Shen,Dehong Li,Dengke Qing,Xunian Yuan,Xiaobo Luan,Shikun Sun

{"title":"Attributing Runoff and Non‐Point Source Pollution Changes to Climate and Human Drivers in the Weihe River Basin, China","authors":"Yuhan Shen,Dehong Li,Dengke Qing,Xunian Yuan,Xiaobo Luan,Shikun Sun","doi":"10.1029/2026wr043466","DOIUrl":"https://doi.org/10.1029/2026wr043466","url":null,"abstract":"Abstract Climate change and human activities jointly affect runoff generation and non‐point source pollutant transport in river basins. Quantifying their relative roles is essential for explaining pollutant‐load changes and informing water resources management. Here, this study developed an integrated framework combining Budyko runoff attribution, Soil and Water Assessment Tool hydrological and water‐quality simulations, dynamic time warping distance, and gray water footprint (GWF) assessment. We applied this framework to the Wei River Basin, China. Based on an abrupt precipitation change, 2001–2009 was defined as the reference period and 2010–2020 as the impact period. The contributions of precipitation, potential evapotranspiration, and basin‐characteristic parameters to runoff change were decomposed, and climate‐driven changes in ammonia nitrogen (NH 3 –N) loads and GWF were simulated under fixed land use and agricultural management. Results show that precipitation increased after 2009, but runoff responses, pollutant loads, and GWF showed pronounced spatial heterogeneity. Runoff changes in WuShan, YangJiaPing, and HeiYuKou were mainly controlled by meteorological drivers, whereas HuXian, JingCun, ZhuangTou, and MaDuWang were more strongly influenced by basin characteristics. During the impact period, multi‐year mean NH 3 –N load and GWF increased in most subbasins except ZhuangTou, but were not always synchronized with runoff changes. Subbasins were classified as high‐load background areas, meteorologically sensitive areas, and asynchronous water quantity‐water quality response areas. These findings indicate that increased runoff does not necessarily alleviate water resources pressure under pollution constraints, highlighting the need to jointly evaluate water quantity, pollution‐source background, and pollutant transport processes.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"70 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893650","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

A Copula‐Based Regression Method to Predict Sediment Concentration and Load in Rivers Using Streamflow Data 基于Copula的河流泥沙浓度和负荷预测方法

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-28 DOI: 10.1029/2025wr040224

Ying Ouyang

{"title":"A Copula‐Based Regression Method to Predict Sediment Concentration and Load in Rivers Using Streamflow Data","authors":"Ying Ouyang","doi":"10.1029/2025wr040224","DOIUrl":"https://doi.org/10.1029/2025wr040224","url":null,"abstract":"Abstract Pollution and deposition of sediments in rivers and streams are critical environmental, ecological, navigational, and recreational concerns. While several well‐known watershed models such as SWAT (Soil and Water Assessment Tool) and HSPF (Hydrological Simulation Program‐FORTRAN) are applied to predict sediment concentrations and loads in rivers and streams, their application requires the acquisition of a large amount of climatic, GIS, land use, and watershed input data, which is very time‐consuming and cost‐prohibitive. This study developed a copula‐based regression method to predict sediment concentrations and loads in rivers using streamflow data, which is difficult to achieve using traditional methods. Predicted sediment concentrations from the method were verified and validated by field measurements from three US Geological Survey (USGS) gauge stations across the US, as well as by statistical metrics. Prerequisites, advantages, uncertainties, and limitations of the method were presented and discussed. Results revealed that sediment loads were not proportional to watershed drainage area, indicating that land use and anthropogenic activities also play an important role in sediment load. Overall, no significant increasing or decreasing trends of annual sediment loads were found at study sites in New York and Florida over the 11‐year period from 2011 to 2021. This study suggests that the copula‐based regression approach, which is time‐saving and cost‐effective compared to the traditional watershed models, is a promising alternative for predicting sediment concentrations and loads using streamflow data when a good dependence (or correlation) exists between the sediment content and streamflow after copula transformation.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"47 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893648","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

Inference of Microporosity Phase Properties in Heterogeneous Carbonate Rock With Data Assimilation Techniques 用数据同化技术推断非均质碳酸盐岩微孔隙相性质

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-28 DOI: 10.1029/2025wr042741

Zhenkai Bo,Ahmed H. Elsheikh,Hannah P. Menke,Julien Maes,Tom Bultreys,Kamaljit Singh

{"title":"Inference of Microporosity Phase Properties in Heterogeneous Carbonate Rock With Data Assimilation Techniques","authors":"Zhenkai Bo,Ahmed H. Elsheikh,Hannah P. Menke,Julien Maes,Tom Bultreys,Kamaljit Singh","doi":"10.1029/2025wr042741","DOIUrl":"https://doi.org/10.1029/2025wr042741","url":null,"abstract":"Abstract Accurate digital rock modeling of carbonate rocks is limited by the difficulty in acquiring morphological information on small‐scale pore structures (microporosity phases in computed tomography images), which provide crucial connectivity and contribute significant surface area during geochemical reactions. However, some carbonate rocks are heterogeneous, and high‐resolution scans are resource‐intensive, impeding comprehensive sampling of microporosity phases. In this context, we propose using the ensemble smoother with multiple data assimilation (ESMDA) algorithm to infer hard‐to‐measure properties of microporosity phases from experimental observations for digital rock modeling. The algorithm's effectiveness and applicability are validated through two case studies on mm‐scale carbonate rock image data. The first case study applies ESMDA to infer microporosity specific surface area from low‐resolution (pixel size 2.5 ) images using high‐resolution (pixel size 0.1 ) 2D scanning electron microscopy (SEM) images of carbonate rock as ground truth. The second case study applies ESMDA to two capillary pressure models to infer the multiphase flow properties of microporosity phases using whole core and phase saturation history from Estaillades drainage image data. In both case studies, ESMDA shows improved performance with increasingly comprehensive observations, while the second case study outperforms recently published techniques. Additionally, ESMDA can assess the consistency between various forward physical models and experimental observations, serving as a diagnostic tool for future characterization. Given the diverse application conditions, we propose that ESMDA can be a general method in the characterization workflow of carbonate rocks.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"68 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893649","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

Process‐Based Model Parameters for Post‐Fire Snow Hydrology: Looking Beyond Snow Albedo and Vegetation 火灾后积雪水文基于过程的模式参数：超越积雪反照率和植被

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-27 DOI: 10.1029/2026wr043508

Arielle Koshkin,Adrienne M. Marshall,Andy Wood

{"title":"Process‐Based Model Parameters for Post‐Fire Snow Hydrology: Looking Beyond Snow Albedo and Vegetation","authors":"Arielle Koshkin,Adrienne M. Marshall,Andy Wood","doi":"10.1029/2026wr043508","DOIUrl":"https://doi.org/10.1029/2026wr043508","url":null,"abstract":"Abstract Wildfires fundamentally alter snow accumulation and melt dynamics by modifying forest canopy structure, snow albedo, and snowpack physical properties. Despite the growing body of work on fire impacts on snow, few studies have used physically based models to simulate post‐fire changes, and none have examined the global parameter sensitivities that govern these dynamics. In this study, we apply the Structure for Unifying Multiple Modeling Alternatives in a high elevation Colorado watershed to identify and evaluate the model parameters that influence post‐fire snowpack evolution. We conduct a global sensitivity analysis, then sample sensitive parameters to identify behavioral parameter sets with respect to airborne LiDAR‐based snow depth in burned and unburned forests. Among behavioral parameter sets, we identify 4 parameters that differ significantly in burned versus unburned forests. These include the albedo decay rate (45% faster in burn than unburned forest), maximum canopy interception for rain (60% lower), minimum temperature for snow unloading (3.9°C warmer), and snow surface roughness (902% higher). Model simulations using behavioral parameter sets for burned and unburned conditions indicate 17% lower peak absolute cold content on average and 17% lower peak snow‐water equivalent (SWE) in burned conditions on average, with differences in depth, SWE, and cold content increasing throughout the snow season. These findings highlight the combined influence of canopy loss and accelerated albedo decay on snow energy balance and reveal additional post‐fire snow processes that are not typically represented in existing modeling frameworks. This study therefore provides a process‐level foundation for improving the simulated representation of post‐fire snow dynamics.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"27 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893651","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

Analytical and Laboratory Investigation of Groundwater Pumping in Strip Island Aquifers With Single‐Sided Land Reclamation 单面复垦条形岛屿含水层抽水分析与实验室研究

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-27 DOI: 10.1029/2026wr043655

Min Yan,Chunhui Lu,Huiqiang Wu,Daning Li

{"title":"Analytical and Laboratory Investigation of Groundwater Pumping in Strip Island Aquifers With Single‐Sided Land Reclamation","authors":"Min Yan,Chunhui Lu,Huiqiang Wu,Daning Li","doi":"10.1029/2026wr043655","DOIUrl":"https://doi.org/10.1029/2026wr043655","url":null,"abstract":"Abstract Land reclamation has been widely implemented on oceanic islands to alleviate land scarcity. Previous studies of groundwater pumping in reclaimed island aquifers have primarily considered symmetric reclamation and fixed well placement. Here, we extend this framework to an asymmetric strip island aquifer with single‐sided low‐permeability reclamation and variable well placement. We derive analytical solutions for the critical pumping rate, at which the seawater upconing interface just reaches the well bottom, and for the remaining freshwater storage under critical pumping (“residual freshwater storage”). The analytical solutions are validated against laboratory sand‐tank experiments and variable‐density numerical simulations, showing consistent agreement. Sensitivity analyses reveal that low‐permeability reclamation does not universally enhance the critical pumping rate. Instead, the effects of reclamation width and hydraulic conductivity depend strongly on well location, such that a wider and less permeable land reclamation zone may either increase or decrease the critical pumping rate. This non‐monotonic behavior can be mechanistically interpreted by the reclamation‐induced migration of groundwater divides and associated changes in capture zones. In this single‐sided reclamation setting, the optimal pumping location generally does not coincide with the pre‐pumping groundwater divide, contrasting the behavior of homogeneous, symmetric island aquifers. Low‐permeability reclamation increases pre‐pumping freshwater storage, but residual storage under critical pumping may be either greater or smaller than that of a homogeneous island aquifer, highlighting that enhancing freshwater storage and maximizing critical pumping capacity are not equivalent objectives. These results provide a mechanistic framework for evaluating reclamation design, pumping limits and well placement in reclaimed island aquifers.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"43 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893652","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

Untangling Dynamic Drivers of Salt Marsh Migration 盐沼迁移的动态驱动因素分析

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-08-27 DOI: 10.1029/2026wr044042

Dannielle Pratt,Julia A. Guimond,Tyler Messerschmidt,Justus Jobe,Keryn B. Gedan,Matthew L. Kirwan,Giovanna Nordio,Sergio Fagherazzi,Holly A. Michael

{"title":"Untangling Dynamic Drivers of Salt Marsh Migration","authors":"Dannielle Pratt,Julia A. Guimond,Tyler Messerschmidt,Justus Jobe,Keryn B. Gedan,Matthew L. Kirwan,Giovanna Nordio,Sergio Fagherazzi,Holly A. Michael","doi":"10.1029/2026wr044042","DOIUrl":"https://doi.org/10.1029/2026wr044042","url":null,"abstract":"Abstract Coastal marsh transgression into upland ecosystems is driven by complex hydrological processes, stressing vegetation through root‐zone salinization and hypoxia, but interacting roles of these stressors remains poorly understood. We use high‐resolution field observations at six sites along the Delmarva Peninsula, USA, to better understand how these processes alter subsurface conditions in changing coastal marsh‐to‐upland systems. We show vertical salinization occurs through episodic storm‐driven infiltration, and lateral salinization is driven by long‐term and intermediate‐term (seasonal) processes. Groundwater rise drives persistent root‐zone saturation, reducing soil redox potential and inducing hypoxic subsurface conditions. When flooding is transient, elevated freshwater levels can buffer SWI and flush salinity. Added site‐specific complexities, like low hydraulic conductivity ( K < 0.2 m/d), extend recovery times from <70 to >200 days. Across sites, interacting drivers operate across varying temporal and spatial scales, complicating attribution, and limiting our understanding of the rate of upland transition. Vegetation surveys revealed live foliage cover and sapling density decline with increasing porewater salinity and groundwater flooding, linking hydrologic stress directly to forest loss. Our results demonstrate marsh migration is driven by interacting processes and coupled salinization and saturation stress rather than a single driver, improving our understanding of shifting hydrological regimes.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"18 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893653","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

Remotely Sensed Surface Water Storage Shows Distinct Patterns From SWAT-Simulated Data. 遥感地表水储存显示了与swat模拟数据不同的模式。

IF 5.4 1区地球科学

Water Resources Research Pub Date : 2026-06-08 DOI: 10.1029/2025wr040206

W Dolan,M K Vanderhoof,J R Christensen,H E Golden,C R Lane,A Rajib,W Keenan,Q Zheng,A Khare

{"title":"Remotely Sensed Surface Water Storage Shows Distinct Patterns From SWAT-Simulated Data.","authors":"W Dolan,M K Vanderhoof,J R Christensen,H E Golden,C R Lane,A Rajib,W Keenan,Q Zheng,A Khare","doi":"10.1029/2025wr040206","DOIUrl":"https://doi.org/10.1029/2025wr040206","url":null,"abstract":"Quantifying and projecting the downstream benefits of water stored in lakes and wetlands ( SW storage ) requires watershed hydrologic models, which often parameterize surface water storage in topographic depressions using static digital elevation model (DEM) data. Calibration and validation of modeled SW storage dynamics using external data sets is uncommon, particularly across major river basins, with model calibration typically focused on observed discharge. Here, we develop and assess a novel remote sensing-based (RS) SW storage data set (Sentinel-1 and Sentinel-2) for verifying simulated SW storage estimates from a Soil and Water Assessment Tool (SWAT) model of the Upper Mississippi River Basin (UMRB; ~440,000 km2). Our results suggest that static DEM-based parameterization as well as model calibration based solely on discharge do not adequately capture spatial and temporal SW storage dynamics in the UMRB. Mean SW storage as estimated by SWAT was 74% ± 122% (mean ± standard deviation) higher than RS SW storage , where SW storage in SWAT was underestimated in wetland-rich subbasins and overestimated in agricultural, tile-drained subbasins. Time series of SWAT SW storage and RS SW storage were positively correlated in only 38.8% of subbasins. As RS SW storage is also vulnerable to error, storage estimates were compared to bathymetric data in select small wetlands. While uncertainty remains in the conversion from extent to storage for RS SW storage , the method and data set presented here are a promising option for improved parameterization and calibration of SW storage processes in SWAT and other process-based hydrologic models. Further consideration of these storage processes can potentially improve the accuracy of simulated streamflow in wetland-rich model domains.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"29 1","pages":"e2025WR040206"},"PeriodicalIF":5.4,"publicationDate":"2026-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148322739","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