Journal of Hydrology最新文献

{"title":"Enhancing flood forecasting accuracy in Data-Scarce regions through advanced modeling approaches","authors":"Abdelmonaim Okacha ,&nbsp;Adil Salhi ,&nbsp;Mounir Bouchouou ,&nbsp;Hamid Fattasse","doi":"10.1016/j.jhydrol.2024.132283","DOIUrl":"10.1016/j.jhydrol.2024.132283","url":null,"abstract":"<div><div>Flood forecasting in data-scarce regions poses significant challenges due to irregular rainfall patterns and limited hydrological monitoring networks, particularly in semi-arid regions in Africa, South America, and Asia. However, despite significant efforts and advancements, there remains a substantial gap in the accurate prediction of flood events necessary for effective risk management and mitigation, evidenced by the recurrence of devastating floods in middle to low-income countries in recent years. Here, we address this problem by testing advanced modeling techniques in a local African case, using a combination of statistical methods for extreme event prediction, hydrodynamic modeling, and remote sensing data, to recommend the most adapted and accurate approach under a variety of settings. Our case study is an emerging urban area in Northern Morocco, situated in a triangular plain interposed between adverse geomorphological and precipitation settings, and unregulated expansion flow, creating an exceptionally overwhelming context for disastrous floods. In the absence of previous studies, we integrate frequency distribution analysis to predict extreme rainfall events and flood flow modeling to simulate floodplain inundation. Data sources included high-resolution remote sensing, local hydrological measurements, fine topographical data, and interviews with stakeholders. We found the Pearson Type 3 distribution to be the most suitable for modeling extreme precipitation in coastal areas, whereas the Generalized Extreme Value (GEV) distribution better fits inland areas. For flood flow assessment, the Gradex method proved to be the most accurate, while other empirical methods outlined critical limitations. Findings reveal that advanced hydrodynamic models significantly enhance flood hazard assessments, even in regions with limited data, showing outstanding correlations with previous flood records and stakeholder feedback. The outcomes carry critical implications for highlighting the importance of selecting appropriate models based on geographical and climatic conditions to inform more resilient urban planning and disaster management practices. We anticipate that these insights will support local decision-makers and urban planners in developing strategies that enhance community resilience and reduce the adverse impacts of flooding. Our work contributes to the broader field of flood risk management, providing a foundation for future developments and practical applications in similar regions worldwide.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132283"},"PeriodicalIF":5.9,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663516","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":"Water and carbon fluxes from a supra-permafrost aquifer to a stream across hydrologic states","authors":"Neelarun Mukherjee ,&nbsp;Jingyi Chen ,&nbsp;Bethany T. Neilson ,&nbsp;George W. Kling ,&nbsp;M. Bayani Cardenas","doi":"10.1016/j.jhydrol.2024.132285","DOIUrl":"10.1016/j.jhydrol.2024.132285","url":null,"abstract":"<div><div>Supra-permafrost aquifers within the active layer are present in the Arctic during summer. Permafrost thawing due to Arctic warming can liberate previously frozen particulate organic matter (POM) in soils to leach into groundwater as dissolved organic carbon (DOC). DOC transport from groundwater to surface water is poorly understood because of the unquantified variability in subsurface properties and hydrological environments. These dynamics must be better characterized because DOC transport to surface waters is critical to predict the long-term fate of recently thawed carbon in permafrost environments. Here, we used distributed Darcy’s Law calculations to quantify groundwater and DOC fluxes into Imnavait Creek, Alaska, a representative headwater stream in a continuous permafrost watershed. We developed a statistical ensemble approach to model the parameter variability and range of potential contributions of steady-state groundwater flow to the creek. We quantified the model prediction uncertainty using statistical sampling of in-situ, active-layer soil hydro-stratigraphy (water table, ice table, and soil stratigraphy), high-resolution topography data, and DOC data. Moreover, the predicted groundwater discharge values representing all possible hydrologic conditions towards the end of the thawing season were also considered given the potential variability in saturation. The model predictions were similar to and span most of the observed range of Imnavait Creek streamflow, especially during recession periods, and also during saturation excess overland flow. As the Arctic warms and supra-permafrost aquifers deepen, groundwater flow is expected to increase. This increase is expected to impact stream, river, and lake biogeochemical processes by dissolving and mobilizing more soil constituents in continuous permafrost regions. This study highlights how quantifying the uncertainty of hydro-stratigraphical input parameters helps understand and predict supra-permafrost aquifer dynamics and connectivity to aquatic systems using a simple, but scalable, modeling approach.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132285"},"PeriodicalIF":5.9,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663687","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":"Effects of human and tectonic activities on groundwater in the upper Yellow River terraces of the loess Plateau","authors":"Runqiang Zeng ,&nbsp;Zonglin Zhang ,&nbsp;Shufen Zhao ,&nbsp;Ruihuan Su ,&nbsp;Ziran Wei ,&nbsp;Xiaorui Wang ,&nbsp;Zhao Long ,&nbsp;Jianhua Ma ,&nbsp;Guan Chen ,&nbsp;Xingmin Meng","doi":"10.1016/j.jhydrol.2024.132279","DOIUrl":"10.1016/j.jhydrol.2024.132279","url":null,"abstract":"<div><div>Terraces of the Yellow River are among the most crucial geomorphological landforms pertaining to human survival on the Loess Plateau. After more than half a century of surface flood irrigation, rapid rises in groundwater levels have led to frequent geological disasters, causing a rapid short-term evolution of Yellow River terraces, and an increasingly serious contradiction between this rapid evolution and human survival. However, the process by which water transfers through the thick loess vadose zone and causes a rapid groundwater response within months or years remains controversial. Using the Heitai platform of Yellow River terrace IV as an example, we found, on the basis of regional geological surveys, that at least 112 tectonically-induced cracks have developed in this area. We contend that the superimposed effects of earthquake ground motions from historical and ancient earthquakes since the Late Pleistocene have driven the development of such densely distributed cracks in the loess layer. These cracks, together with a series of fault planes generated by NE-directed extrusive stress at the regional scale, constitute a potential network of preferential channels for water transport within the Heitai platform. Combined with the results of a large-scale in situ ponding test and electrical resistivity tomography, we found that this network of cracks helps to establish catchment areas within the loess layer, thereby increasing soil saturation at a more extensive spatial scale, which may then increase the overall movement velocity of the wetting front. We semi-quantified the efficiency of the crack network in enhancing the recharge of surface water to groundwater, and suggested that the impact of human and tectonic activities substantially shortens the response time of groundwater to surface water, with the reduced time far exceeding one order of magnitude. The results of a field investigation of structural traces and terrace groundwater after the Ms 6.2 Jishishan earthquake on 18 December 2023 further emphasize that a causal mechanism of human and tectonic activities leading to the rapid short-term evolution of groundwater distribution patterns may be universally applicable to all Yellow River terraces on the Loess Plateau. This study mitigates the long-standing controversy concerning the mode of surface water infiltration, including piston flow and preferential flow, and the infiltration medium by which rapid surface water recharge to groundwater occurs in loess areas over short time periods.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132279"},"PeriodicalIF":5.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663572","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 two-source non-parametric method for estimating terrestrial evapotranspiration: Validation at eddy covariance sites","authors":"Xin Pan ,&nbsp;Zi Yang ,&nbsp;Jie Yuan ,&nbsp;Rufat Guluzade ,&nbsp;Zhanchuan Wang ,&nbsp;Suyi Liu ,&nbsp;Yulong Zhou ,&nbsp;Wenqing Ma ,&nbsp;Yingbao Yang ,&nbsp;Yuanbo Liu","doi":"10.1016/j.jhydrol.2024.132278","DOIUrl":"10.1016/j.jhydrol.2024.132278","url":null,"abstract":"<div><div>Developing a two-source evapotranspiration (ET) method is a major challenge of the accurate ET estimation. As a single source ET method, the performance of Non-Parametric (NP) approach is limited by the unavailability of conventional equation of equilibrium ET in the water-limited situation. To solve this problem, a two-source equilibrium ET equation derived from Penman–Monteith equation expressed using relative humidity (RH-PM) is introduced into the NP method, then a Two-Source Non-Parametric (TS-NP) method is proposed regarding vegetation and soil as individual source. The accuracy of equilibrium ET derived from two-source method has significantly improved in the bare-soil surface (relative error: 31.26 %; RMSE: 13.18 W/m²) compared with that of conventional equilibrium ET equation and surface flux equilibrium (SFE) theory. Validated by eddy covariance tower sites, the performance of TS-NP method on bare soil surfaces is satisfactory, involving a significant reduction (near to 1/2) in the ET estimation error (relative error: 49.45 %; RMSE: 16.15 W/m²) compared with that of NP, SFE-NP and RH-PM method. On the dense vegetation surface, the performance of TS-NP method (relative error: 8.44 %; RMSE: 17.44 W/m²) is also slightly better than that of the NP method, SFE-NP and RH-PM method. In addition, air temperature and surface temperature are the most sensitive input variables in the TS-NP method, particularly in bare soil surface. The ET derived from the combined TS-NP method shows the best performance in arid areas (relative error: 22.20 %; RMSE: 16.52 W/m²) and non-arid areas (relative error: 8.12 %; RMSE: 17.61 W/m²), and the combined TS-NP method has satisfactory accuracy on the heterogeneity of underlying. Therefore, the TS-NP method provides a simple but efficient two-source method for high-precision ET estimation.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132278"},"PeriodicalIF":5.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663524","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":"Reconstructing MODIS normalized difference snow index product on Greenland ice sheet using spatiotemporal extreme gradient boosting model","authors":"Fan Ye ,&nbsp;Qing Cheng ,&nbsp;Weifeng Hao ,&nbsp;Dayu Yu","doi":"10.1016/j.jhydrol.2024.132277","DOIUrl":"10.1016/j.jhydrol.2024.132277","url":null,"abstract":"<div><div>The spatiotemporally continuous data of normalized difference snow index (NDSI) are key to understanding the mechanisms of snow occurrence and development as well as the patterns of snow distribution changes. However, the presence of clouds, particularly prevalent in polar regions such as the Greenland Ice Sheet (GrIS), introduces a significant number of missing pixels in the MODIS NDSI daily data. To address this issue, this study proposes the utilization of a spatiotemporal extreme gradient boosting (STXGBoost) model generate a comprehensive NDSI dataset. In the proposed model, various input variables are carefully selected, encompassing terrain features, geometry-related parameters, and surface property variables. Moreover, the model incorporates spatiotemporal variation information, enhancing its capacity for reconstructing the NDSI dataset. Verification results demonstrate the efficacy of the STXGBoost model, with a coefficient of determination of 0.962, root mean square error of 0.030, mean absolute error of 0.011, and negligible bias (0.0001). Furthermore, simulation comparisons involving missing data and cross-validation with Landsat NDSI data illustrate the model’s capability to accurately reconstruct the spatial distribution of NDSI data. Notably, the proposed model surpasses the performance of traditional machine learning models, showcasing superior NDSI predictive capabilities. This study highlights the potential of leveraging auxiliary data to reconstruct NDSI in GrIS, with implications for broader applications in other regions. The findings offer valuable insights for the reconstruction of NDSI remote sensing data, contributing to the further understanding of spatiotemporal dynamics in snow-covered regions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132277"},"PeriodicalIF":5.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663569","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":"Synthesis of research findings and general criteria for sustainable groundwater recharge and recovery in saline aquifers","authors":"Shubham Tiwari ,&nbsp;Brijesh Kumar Yadav ,&nbsp;Maurizio Polemio","doi":"10.1016/j.jhydrol.2024.132280","DOIUrl":"10.1016/j.jhydrol.2024.132280","url":null,"abstract":"<div><div>Managed Aquifer Recharge (MAR), a reliable technique for groundwater restoration in arid regions, struggles with the limited recovery of stored water in salt-affected areas due to fresh-saline water mixing. Groundwater recharge and recovery project performance in saline aquifers is primarily controlled by operational factors because it influences fresh-saline water mixing significantly. Understanding the impact of operational factors is thus crucial for optimizing MAR performance, particularly in saline groundwater regions. This study conducted a comprehensive literature review of literature studies related to MAR in Salt-affected groundwater regions (MARS), along with statistical analysis to discuss each operational factor’s common positive or negative effects on aquifer recharge and recovery performance. The Recovery Efficiency (RE) values in each MARS study analyzed in this article are influenced by unique hydrogeological and operational settings, resulting in significant variations. However, a similar influencing trend of each operational factor on the observed RE variation is found. To validate the results of this analysis, a variable density groundwater flow model was developed from the data of a MAR field application project given in Reese (2002) and simulated for similar variations in operational factors. The simulation results corroborated the general trends observed in the review analysis. This study provides a comprehensive analysis of how operational factors influence the RE of MARS. The results demonstrate that a higher recharge rate, larger freshwater volume, smaller storage durations, and a minimum of four subsequent recharge-recovery cycles may lead to higher RE. The trends obtained for each operational factor can be utilized to optimize the operation of MARS projects for achieving higher RE in the salt-affected regions of the world.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132280"},"PeriodicalIF":5.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663568","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":"Characterizing interactive compound flood drivers in the Pearl River Estuary: A case study of Typhoon Hato (2017)","authors":"Qianru Lin ,&nbsp;Luming Shi ,&nbsp;Bingchen Liang ,&nbsp;Guoxiang Wu ,&nbsp;Zhenlu Wang ,&nbsp;Xuecheng Zhang ,&nbsp;Yi Wu","doi":"10.1016/j.jhydrol.2024.132270","DOIUrl":"10.1016/j.jhydrol.2024.132270","url":null,"abstract":"<div><div>Tropical cyclone (TC) induced compound floods involve dynamic interactions among astronomical tides, storm surges, precipitation, and associated river pulses. This study employs a one-way coupled WRF, Delft3D, and HEC-RAS model to investigate the impacts of oceanic, pluvial, and fluvial processes on compound flood dynamics during Typhoon Hato (2017) in the Pearl River Estuary (PRE), South China. Total water levels driven by different combinations of flood drivers are modeled and analyzed. Relative contributions of each type of flood driver are quantified and used to categorize flood zones. This study highlights the persistent impacts of storm surges and their nonlinear interactions with other flood drivers. They can modify both the timing and magnitude of maximum water levels, thereby distorting tidal signals and contributing to post-TC landfall water level peaks. Along coastal regions, water levels exhibit three successive peaks, predominantly driven by storm surge, rainfall, and the combined actions of both factors, respectively. In upstream regions and coastal areas sheltered from islands, a singular water level peak arises exclusively from rainfall-runoff processes. Moreover, nonlinear interactions between surge and rainfall-runoff have non-negligible impacts on the relative contribution of individual flood drivers, which underscores the necessity of considering both rainfall and storm surge in modeling compound flood water levels. During the flooding period, peak storm surge and the following peak rainfall resulted in a time-varying distribution of flood zones. Alternating feedback between compounded and ocean-dominant areas manifests in the midsections of the upper PRE. Maximum flooding depth, extent, and duration are mainly influenced by rainfall. Storm surges play a secondary role, causing intense but short-lived flooding in coastal regions. These findings aid in understanding the generation mechanism of compound floods and provide references for hazard mitigation strategies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132270"},"PeriodicalIF":5.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663519","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":"Reconstructed centennial precipitation-driven water storage anomalies in the Nile River Basin using RecNet and their suitability for studying ENSO and IOD impacts","authors":"Jielong Wang ,&nbsp;Joseph Awange ,&nbsp;Yunzhong Shen ,&nbsp;Ling Yang ,&nbsp;Tengfei Feng ,&nbsp;Yongze Song","doi":"10.1016/j.jhydrol.2024.132272","DOIUrl":"10.1016/j.jhydrol.2024.132272","url":null,"abstract":"<div><div>While the Gravity Recovery And Climate Experiment (GRACE) and its Follow-On (GFO) missions have offered valuable observations for monitoring total water storage anomalies (TWSA), their short record constrains our ability to study the complete range and long-term variability of TWSA in the Nile River Basin (NRB). Previous studies reconstructing TWSA in this region either relied on specific hydrological models or did not consider spatial correlations among the TWSA grids. Here, we employ RecNet, a deep learning model capable of providing independent TWSA observations without relying on hydrological models while considering spatial correlations, to reconstruct precipitation-driven TWSA in the NRB from 1923 to 2022. The reconstructed data are validated by comparisons with the Global Land Data Assimilation System (GLDAS), the WaterGAP Global Hydrology Model (WGHM), the water balance budget, long-term runoff data, and GRACE-REC (i.e., a global reconstruction dataset freely available online). Subsequently, the suitability of the reconstructed data for studying El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) impacts within the NRB is assessed. Dividing the NRB into four sub-regions, i.e., the Lake Victoria Basin (LVB), the Bahr el Jebel and Bahr el Ghazal basins (BJBG), Ethiopian Highlands region (EH), and the Lower Nile River Basin (LNRB), it is shown that RecNet successfully reconstructs precipitation-driven TWSA over BJBG and EH, achieving correlation coefficient (CC), normalized root mean square error (NRMSE), and Nash–Sutcliffeefficiency (NSE) of 0.94/0.11/0.88 and 0.96/0.09/0.91 during the testing period, respectively. Additionally, RecNet’s reconstruction shows better agreement with GLDAS and WGHM than GRACE-REC, correlating well with runoff and the water balance budget in these regions. The relatively poor performance in the LVB and LNRB regions could be attributed to the substantial influence of Lake Victoria and the arid climate, respectively. Correlation analysis and wavelet coherence analysis identify significant coherence between ENSO/IOD and the reconstructed TWSA in BJBG and EH, with CC values of −0.68/0.34 and −0.82/0.56, respectively. This study provides centennial reconstructed TWSA data that could be useful in climate change/variability studies and water resource management within the NRB.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132272"},"PeriodicalIF":5.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663520","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 case study of canal seepage quantification using gain/loss method and electrical resistivity tomography in an intensively managed water resource system in the Treasure Valley, Idaho, United States","authors":"Dina Ragab ,&nbsp;Kendra E. Kaiser ,&nbsp;Qifei Niu ,&nbsp;Mohamed Attwa ,&nbsp;Alejandro N. Flores","doi":"10.1016/j.jhydrol.2024.132251","DOIUrl":"10.1016/j.jhydrol.2024.132251","url":null,"abstract":"<div><div>Monitoring groundwater-surface water (GW-SW) interactions is essential for effectively managing the available water resources in semi-arid and arid environments. The focus of this study was to quantify how much SW is being exchanged with the shallow GW aquifer in the Treasure Valley (TV), Idaho, USA. Previous water budgets estimated regional canal seepage without incorporating canal variability and flow measurement uncertainty. To address this, we applied both direct (gain/loss) and indirect (electrical resistivity tomography (ERT)) techniques. Direct seepage measurements were taken on canals capturing a range of different characteristics in the TV. The discrete measurements were then used to estimate the total seepage anticipated to be lost from these canals during the irrigation season. Our findings showed high seepage variability across the canals. The ERT inversion approach was utilized before and after the irrigation season by applying an advanced inversion scheme to better constrain the canal seepage spatial variability and uncertainty by quantifying changes in the saturated zone with 2D-ERT results. Temporal changes in the subsurface resistivity were observed due to the lateral flow from the nearby surface canal during the irrigation season. The combination of these approaches improves our understanding of SW-GW interactions in intensively managed irrigation systems.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132251"},"PeriodicalIF":5.9,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663522","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":"Groundwater sustainability assessment and the research-practice nexus","authors":"Behzad Ataie Ashtiani ,&nbsp;Craig T. Simmons ,&nbsp;Leila Farhadi ,&nbsp;Shuo Zhang","doi":"10.1016/j.jhydrol.2024.132166","DOIUrl":"10.1016/j.jhydrol.2024.132166","url":null,"abstract":"<div><div>This special issue on “Groundwater Sustainability Assessment and the Research-Practice Nexus” presents 18 papers aimed at addressing the widening gap between scientific research and practical groundwater management. Despite recent advancements in data and modeling technologies, many studies lack lasting academic and practical impact, raising concerns about their value. To counter this, the issue brings together research that emphasizes practical application in four key areas: groundwater management and policy, dynamics and modeling, quality and pollution, and sustainability assessment, aiming to ensure that hydrological research leads to tangible, long-term benefits.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"644 ","pages":"Article 132166"},"PeriodicalIF":5.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663040","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}