Water Resources Research最新文献

{"title":"Establishment of a Brackish Water Infiltration Model and Infiltration Parameter Correction Model Considering Solute Potential","authors":"Yu Liu, Ye Liu, Tingting Huang, Yimei He, Weibo Nie, Yongqiang Wang, Xiaoyi Ma","doi":"10.1029/2024wr039352","DOIUrl":"https://doi.org/10.1029/2024wr039352","url":null,"abstract":"Water–salt movement is a central issue in soil, water, and crop science, with its accurate simulation holding significant scientific value. The combined Richards equation for water movement and the continuity equation for solute migration currently provide a systematic approach for simulating water–salt movement. However, existing models and methods do not adequately address the theoretical effect of solute potential differences induced by soil salinity changes on water movement in practical applications. This study focuses on the infiltration of brackish water containing NaCl, integrating the semi-permeable membrane theory from physical chemistry. A theoretical method for calculating the osmotic efficiency coefficient was introduced. In addition, a soil water–solute kinetic model and solution method, considering the influence of solute potential, were constructed. The applicability of the model was validated by comparing the simulation and experimental results, including infiltration curves, water–salt distributions, and water potentials in three soils subjected to different brackish water–salt concentrations. Subsequently, the infiltration curves and water–salt distribution characteristics of four typical soils under varying initial water contents and salt concentrations were simulated to elucidate the mechanism of coupled water–salt movement, thereby expanding the theory of water–salt dynamics. Furthermore, a correction model for infiltration parameters based on the Kostiakov equation was developed, incorporating the soil-specific surface area, initial volumetric water content, and brackish water–salt concentration. This model enabled the conversion of infiltration parameters between brackish water and freshwater conditions. The study provides novel theoretical methods and tools for simulating soil infiltration under brackish water irrigation.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"53 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188888","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}

{"title":"How Does Assimilating SMAP Soil Moisture Improve Characterization of the Terrestrial Water Cycle in an Integrated Land Surface-Subsurface Model?","authors":"Haojin Zhao, Carsten Montzka, Johannes Keller, Fang Li, Harry Vereecken, Harrie-Jan Hendricks Franssen","doi":"10.1029/2024wr038647","DOIUrl":"https://doi.org/10.1029/2024wr038647","url":null,"abstract":"Land surface modeling combined with data assimilation can yield highly accurate soil moisture estimates on regional and global scales. However, most land surface models often neglect lateral surface and subsurface flows, which are crucial for water redistribution and soil moisture. This study applies the Community Land Model (CLM) and the coupled CLM-ParFlow model over a 22,500 <span data-altimg=\"/cms/asset/53d005e1-8ce7-40d8-ba14-a2ac4e19099c/wrcr70140-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"192\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70140-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-msup data-semantic-children=\"0,1\" data-semantic- data-semantic-role=\"unknown\" data-semantic-speech=\"km Superscript 2\" data-semantic-type=\"superscript\"><mjx-mtext data-semantic-annotation=\"clearspeak:unit\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"text\"><mjx-c></mjx-c><mjx-c></mjx-c></mjx-mtext><mjx-script style=\"vertical-align: 0.421em;\"><mjx-mn data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"integer\" data-semantic-type=\"number\" size=\"s\"><mjx-c></mjx-c></mjx-mn></mjx-script></mjx-msup></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70140:wrcr70140-math-0001\" display=\"inline\" location=\"graphic/wrcr70140-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><msup data-semantic-=\"\" data-semantic-children=\"0,1\" data-semantic-role=\"unknown\" data-semantic-speech=\"km Superscript 2\" data-semantic-type=\"superscript\"><mtext data-semantic-=\"\" data-semantic-annotation=\"clearspeak:unit\" data-semantic-font=\"normal\" data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"text\">km</mtext><mn data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"2\" data-semantic-role=\"integer\" data-semantic-type=\"number\">2</mn></msup></mrow>${text{km}}^{2}$</annotation></semantics></math></mjx-assistive-mml></mjx-container> area in western Germany. Soil moisture retrievals from the Soil Moisture Active Passive mission are assimilated with the Localized Ensemble Kalman Filter (with and without parameter estimation). The simulated soil moisture, evapotranspiration (ET) and groundwater level are evaluated using in situ observations from a Cosmic-Ray Neutron Sensor network, Eddy Covariance (EC) stations and groundwater measurement wells. The assimilation improves the median correlation between simulated and measured soil moisture from 0.72 <span data-altimg=\"/cms/asset/3890f539-af30-4753-9a16-317e8da41c13/wrcr70140-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"193\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\"","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"237 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176932","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}

{"title":"Seeing China's Invisible Groundwater: Advances and Challenges","authors":"Yingying Yao, Shuitao Guo, Charles B. Andrews, Fanyu Zhang, Michele Lancia, Xingxing Kuang, Chunmiao Zheng","doi":"10.1029/2024wr038980","DOIUrl":"https://doi.org/10.1029/2024wr038980","url":null,"abstract":"In 2021, China adopted comprehensive “Groundwater Management Regulations” to address critical groundwater issues, building upon the foundation of a national groundwater monitoring network established by 2020. This commentary reviews the development of China's National Groundwater Monitoring Network, examines its current monitoring capacity, and highlights ongoing groundwater issues and related ecological and environmental challenges. The network now comprises over 20,000 monitoring wells across 10 major river basins in China. Despite this progress, three key challenges persist in advancing groundwater knowledge: (a) insufficient data from the Tibetan Plateau, a crucial headwater region for many of Asia's major rivers; (b) limited understanding of how groundwater systems affect ecohydrological processes and ecosystem services; and (c) the identification and mitigation of environmental geological hazards driven by groundwater changes. We advocate for the integration of the groundwater observational data with physics-based groundwater models, artificial intelligence, and deep learning techniques to deepen our understanding of these complex, largely hidden groundwater systems, providing critical insights for both scientific research and regulatory decision-making.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"28 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188863","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}

{"title":"Impact of the Relative Submergence on Turbulence Structures in Open-Channel Flow Through Arrays of Large Spherical Roughness Elements","authors":"Zhengdao Tang, Thorsten Stoesser, Lei Huang, Yan Liu, Hongwei Fang","doi":"10.1029/2024wr038282","DOIUrl":"https://doi.org/10.1029/2024wr038282","url":null,"abstract":"This study investigates the impact of relative submergence, defined as the ratio of water depth to the diameter of boulders (<i>k</i> = <i>H/D</i>), on turbulence structures in flow through boulder arrays. The large-eddy simulation method is employed to simulate flow through boulder arrays across a range of <i>k</i> values from 0.25 to 3.50. Within this range, three distinct flow regimes are identified: low (<i>k</i> = 0.25), intermediate (<i>k</i> = 0.75 and 1.25), and high (<i>k</i> = 2.0 and 3.5) relative submergence regimes. Across these three regimes, distributions of time-averaged velocities, secondary flow, turbulent kinetic energy, and dominant turbulence structures in the wakes of boulders exhibit significant variations. The wake of boulders, characterized by recirculation flow, only manifests at <i>k</i> <span data-altimg=\"/cms/asset/89dca2b6-dd22-438e-be54-0f799d4c7a43/wrcr70161-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"199\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70161-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-mo data-semantic- data-semantic-role=\"inequality\" data-semantic-speech=\"greater than or equals\" data-semantic-type=\"relation\"><mjx-c></mjx-c></mjx-mo></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70161:wrcr70161-math-0001\" display=\"inline\" location=\"graphic/wrcr70161-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><mo data-semantic-=\"\" data-semantic-role=\"inequality\" data-semantic-speech=\"greater than or equals\" data-semantic-type=\"relation\">≥</mo></mrow>${ge} $</annotation></semantics></math></mjx-assistive-mml></mjx-container> 0.75 and is more pronounced at higher <i>k</i> values. Particularly at <i>k</i> = 3.5, funnel vortices in the wake and secondary flow at the sides of boulders develop, enhancing vertical momentum exchange. Three types of coherent structures are identified within the wake: (a) the near-bed hairpin vortex with a wavelength (<span data-altimg=\"/cms/asset/345123bd-d957-41e6-80c3-37d40acc0100/wrcr70161-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"200\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70161-math-0002.png\"><mjx-semantics><mjx-mrow><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-role=\"greekletter\" data-semantic-speech=\"lamda\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70161:wrcr70161-math-0002\" display=\"inline\" location=\"graphic/wrcr70161-math-0002.png\" xmlns=\"http://www.w3.org/1998/","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"48 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176752","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}

{"title":"Abrupt Ecological Shift and Recovery Trajectory of a Peri-Urban Lake in the Anthropocene: Insights From Paleoecology and Modeling Projection","authors":"Shixin Huang, Qi Lin, Ke Zhang, Yaoyao Han, Chenliang Du, Ji Shen","doi":"10.1029/2024wr038925","DOIUrl":"https://doi.org/10.1029/2024wr038925","url":null,"abstract":"Urban and peri-urban lakes are undergoing significant ecological deterioration in the fast-changing Anthropocene, leading to toxic algal proliferation jeopardizing ecosystem services and public health. Nevertheless, the ecological response of these lakes to anthropogenic disturbances, management interventions, and climate change remains inadequately understood. This study examined the dynamic trajectory of the algal community from Luoma Lake, a representative peri-urban lake in eastern China, from the 1900s to 2050, based on comprehensive paleoecological investigations and model projections. Phototrophic pigment analysis indicated an exponential increase in algal abundances since the early 2000s, coupled with an abrupt community shift toward eutrophic taxa driven by rapid urbanization, agricultural and fishery practices. Recent rate-based observations suggested a reversal in algal production and cyanobacterial proliferation due to management efforts, signaling an early ecological recovery. However, model projections under two representative climate scenarios (SSP1-2.6 and SSP5-8.5) suggested continued algal abundance growth and accelerated ecological response rates until 2050. This highlighted that the anticipated benefits of nutrient reductions may be diluted by climate warming, posing a significant challenge for future urban lake management. This study underscores the necessity of incorporating climate adaptation into rate-focused management strategies to mitigate adverse ecological impacts. Our findings provide valuable insights for policymakers and contribute to the broader understanding of urban lake ecosystem responses to combined anthropogenic and climatic stressors, offering new perspectives for effective lake restoration in the context of global climate change.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"8 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144165702","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}

{"title":"Deep Learning Advances Arctic River Water Temperature Predictions","authors":"Shuyu Y. Chang, Jon Schwenk, Kurt C. Solander","doi":"10.1029/2024wr039053","DOIUrl":"https://doi.org/10.1029/2024wr039053","url":null,"abstract":"The accelerated warming in the Arctic poses serious risks to freshwater ecosystems by altering streamflow and river thermal regimes. However, limited research on Arctic River water temperatures exists due to data scarcity and the absence of robust methodologies, which often focus on large, major river basins. To address this, we leveraged the newly released, extensive AKTEMP data set and advanced machine learning techniques to develop a Long Short-Term Memory (LSTM) model. By incorporating ERA5-Land reanalysis data and integrating physical understanding into data-driven processes, our model advanced river water temperature predictions in ungauged, snow- and permafrost-affected basins in Alaska. Our model outperformed existing approaches in high-latitude regions, achieving a median Nash-Sutcliffe Efficiency of 0.95 and root mean squared error of 1.0°C. The LSTM model learned air temperature, soil temperature, solar radiation, and thermal radiation—factors associated with energy balance—were the most important drivers of river temperature dynamics. Soil moisture and snow water equivalent were highlighted as critical factors representing key processes such as thawing, melting, and groundwater contributions. Glaciers and permafrost were also identified as important covariates, particularly in seasonal river water temperature predictions. Our LSTM model successfully captured the complex relationships between hydrometeorological factors and river water temperatures across varying timescales and hydrological conditions. This scalable and transferable approach can be potentially applied across the Arctic, offering valuable insights for future conservation and management efforts.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"62 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144176751","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}

{"title":"Impact of Heterogeneity and Miscibility on scCO2 Drainage Flow Patterns and Implications for Experimental Interpretation","authors":"Ruotong Huang, Anna Herring, Mohammad Saadatfar, Adrian Sheppard","doi":"10.1029/2024wr039070","DOIUrl":"https://doi.org/10.1029/2024wr039070","url":null,"abstract":"In this study, we investigated the coupling effect of sub-core-scale heterogeneity and miscibility on the development of flow pattern under drainage in porous media. We performed experiments with two Bentheimer sandstone cores (usually considered homogeneous) both with mild heterogeneity. For both cores, two drainage experiments were performed: supercritical <span data-altimg=\"/cms/asset/67c90a76-c859-431c-b44e-8c9bc3f52d77/wrcr70172-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"385\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70172-math-0001.png\"><mjx-semantics><mjx-mrow><mjx-msub data-semantic-children=\"0,1\" data-semantic- data-semantic-role=\"unknown\" data-semantic-speech=\"CO Subscript 2\" data-semantic-type=\"subscript\"><mjx-mtext data-semantic-annotation=\"clearspeak:unit\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"text\"><mjx-c></mjx-c><mjx-c></mjx-c></mjx-mtext><mjx-script style=\"vertical-align: -0.15em;\"><mjx-mn data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"integer\" data-semantic-type=\"number\" size=\"s\"><mjx-c></mjx-c></mjx-mn></mjx-script></mjx-msub></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00431397:media:wrcr70172:wrcr70172-math-0001\" display=\"inline\" location=\"graphic/wrcr70172-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow><msub data-semantic-=\"\" data-semantic-children=\"0,1\" data-semantic-role=\"unknown\" data-semantic-speech=\"CO Subscript 2\" data-semantic-type=\"subscript\"><mtext data-semantic-=\"\" data-semantic-annotation=\"clearspeak:unit\" data-semantic-font=\"normal\" data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"text\">CO</mtext><mn data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"normal\" data-semantic-parent=\"2\" data-semantic-role=\"integer\" data-semantic-type=\"number\">2</mn></msub></mrow>${text{CO}}_{2}$</annotation></semantics></math></mjx-assistive-mml></mjx-container> (<span data-altimg=\"/cms/asset/12212411-f897-414a-a198-a03535a18fb2/wrcr70172-math-0002.png\"></span><mjx-container ctxtmenu_counter=\"386\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70172-math-0002.png\"><mjx-semantics><mjx-mrow><mjx-msub data-semantic-children=\"0,1\" data-semantic- data-semantic-role=\"unknown\" data-semantic-speech=\"scCO Subscript 2\" data-semantic-type=\"subscript\"><mjx-mtext data-semantic-annotation=\"clearspeak:unit\" data-semantic-font=\"normal\" data-semantic- data-semantic-parent=\"2\" data-semantic-role=\"unknown\" data-semantic-type=\"text\"><mjx-c></mjx-c><mjx-c></mjx-c","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"3 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188887","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}

{"title":"A New Model for Water Retention and Hydraulic Conductivity Curves of Deformable Unsaturated Soils","authors":"Zhenxing Chang, Chao Zhou","doi":"10.1029/2024wr037826","DOIUrl":"https://doi.org/10.1029/2024wr037826","url":null,"abstract":"The water retention and hydraulic conductivity curves of unsaturated soils are important parameters for seepage analysis. Experimental results in the literature generally show that with increasing density, the air-entry value and adsorption/desorption rate of the water retention curve increase and the relative hydraulic conductivity (<i>k</i>_<i>r</i>) at a given degree of saturation changes. The above phenomena, except the density-dependency of air-entry value, have not been considered in existing models. This study aims to address these problems by developing new hydraulic models based on experimental evidence from microscopic analysis. First of all, a new equation was proposed to model the evolution of pore size distribution with soil density. For a given pore, the ratio of its initial to final sizes is higher when the initial size is larger and when there is a greater increase in density. Based on this equation, a new and simple water retention equation was derived to predict the increase in air-entry value (resulting from the reduction in pore size) and the adsorption/desorption rate (due to a more uniform pore size distribution) as density increases. Then, a new equation for <i>k</i>_<i>r</i> was developed by incorporating the evolution of pore size distribution and tortuosity upon soil deformation, and therefore it can capture the changes of <i>k</i>_<i>r</i>. To validate the above equations, test data from several soils with distinct properties were used. The measured and calculated results are well-matched.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"14 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154310","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}

{"title":"Multi-Frequency Oscillatory Hydraulic Tomography Improves Heterogeneity Imaging and Resolution and Reduces Uncertainty","authors":"Jeremy R. Patterson, Michael Cardiff","doi":"10.1029/2024wr039606","DOIUrl":"https://doi.org/10.1029/2024wr039606","url":null,"abstract":"Understanding subsurface heterogeneity is crucial to predicting groundwater flow pathways, mixing, and other processes in aquifers and other fluid reservoirs. Despite significant effort developing geophysical tools to understand this heterogeneity, geophysical mapping of aquifer flow parameters—transmissivity &lt;span data-altimg=\"/cms/asset/3bae40bb-f7e9-4275-a67d-d89d1fbe9c81/wrcr70156-math-0001.png\"&gt;&lt;/span&gt;&lt;mjx-container ctxtmenu_counter=\"177\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"&gt;&lt;mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70156-math-0001.png\"&gt;&lt;mjx-semantics&gt;&lt;mjx-mrow data-semantic-children=\"1\" data-semantic-content=\"0,2\" data-semantic- data-semantic-role=\"leftright\" data-semantic-speech=\"left parenthesis upper T right parenthesis\" data-semantic-type=\"fenced\"&gt;&lt;mjx-mo data-semantic- data-semantic-operator=\"fenced\" data-semantic-parent=\"3\" data-semantic-role=\"open\" data-semantic-type=\"fence\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"&gt;&lt;mjx-c&gt;&lt;/mjx-c&gt;&lt;/mjx-mo&gt;&lt;mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-parent=\"3\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"&gt;&lt;mjx-c&gt;&lt;/mjx-c&gt;&lt;/mjx-mi&gt;&lt;mjx-mo data-semantic- data-semantic-operator=\"fenced\" data-semantic-parent=\"3\" data-semantic-role=\"close\" data-semantic-type=\"fence\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"&gt;&lt;mjx-c&gt;&lt;/mjx-c&gt;&lt;/mjx-mo&gt;&lt;/mjx-mrow&gt;&lt;/mjx-semantics&gt;&lt;/mjx-math&gt;&lt;mjx-assistive-mml display=\"inline\" unselectable=\"on\"&gt;&lt;math altimg=\"urn:x-wiley:00431397:media:wrcr70156:wrcr70156-math-0001\" display=\"inline\" location=\"graphic/wrcr70156-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"&gt;&lt;semantics&gt;&lt;mrow data-semantic-=\"\" data-semantic-children=\"1\" data-semantic-content=\"0,2\" data-semantic-role=\"leftright\" data-semantic-speech=\"left parenthesis upper T right parenthesis\" data-semantic-type=\"fenced\"&gt;&lt;mo data-semantic-=\"\" data-semantic-operator=\"fenced\" data-semantic-parent=\"3\" data-semantic-role=\"open\" data-semantic-type=\"fence\" stretchy=\"false\"&gt;(&lt;/mo&gt;&lt;mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-parent=\"3\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"&gt;T&lt;/mi&gt;&lt;mo data-semantic-=\"\" data-semantic-operator=\"fenced\" data-semantic-parent=\"3\" data-semantic-role=\"close\" data-semantic-type=\"fence\" stretchy=\"false\"&gt;)&lt;/mo&gt;&lt;/mrow&gt;$(T)$&lt;/annotation&gt;&lt;/semantics&gt;&lt;/math&gt;&lt;/mjx-assistive-mml&gt;&lt;/mjx-container&gt;, and storativity &lt;span data-altimg=\"/cms/asset/6a5d9933-1178-41c2-abd7-1bb517162224/wrcr70156-math-0002.png\"&gt;&lt;/span&gt;&lt;mjx-container ctxtmenu_counter=\"178\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"&gt;&lt;mjx-math aria-hidden=\"true\" location=\"graphic/wrcr70156-math-0002.png\"&gt;&lt;mjx-semantics&gt;&lt;mjx-mrow data-semantic-children=\"1\" data-semantic-content=\"0,2\" da","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"149 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136944","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}

{"title":"Bidirectional Translations Between Observational and Topography-Based Hydrographic Data Sets: MERIT-Basins and the SWOT River Database (SWORD)","authors":"Jeffrey Wade, Cédric H. David, Elizabeth H. Altenau, Elyssa L. Collins, Hind Oubanas, Stephen Coss, Arnaud Cerbelaud, Manu Tom, Michael Durand, Tamlin M. Pavelsky","doi":"10.1029/2024wr038633","DOIUrl":"https://doi.org/10.1029/2024wr038633","url":null,"abstract":"The recently launched Surface Water and Ocean Topography (SWOT) Mission is expected to provide transformative observations of water surface elevation, width, and slope and produce derived estimates of discharge for global rivers along rivers in the SWOT River Database (SWORD). However, the hydrographic representation of rivers in SWORD differs from hydrography data sets commonly used for modeling purposes, such as Multi-Error-Removed Improved Terrain (MERIT)-Basins. Here, we develop links between the river networks of SWORD and MERIT-Basins (MB) to enable interoperability between SWOT data products and hydrologic modeling frameworks. This data set, termed MERIT-SWORD, identifies a subset of ∼277,000 global MB river reaches that most closely represent the location and extent of the SWORD river network and establishes bidirectional, one-to-many translations between reaches in the two hydrographic data sets. The MERIT-SWORD data set serves to unite SWOT observations with river routing models, allowing for the seamless and standardized assimilation of SWOT vector products into global river simulations and the provision of improved a priori discharge estimates for SWOT discharge computation.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"13 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136942","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}