Journal of Hydrology-Regional Studies最新文献

Effects of rainfall runoff on photothermal environment in a large and deep drinking water reservoir 大深水库降雨径流对光热环境的影响

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-25 DOI: 10.1016/j.ejrh.2025.102629

Cunli Li , Guangwei Zhu , Aiju You , Mengyuan Zhu

{"title":"Effects of rainfall runoff on photothermal environment in a large and deep drinking water reservoir","authors":"Cunli Li , Guangwei Zhu , Aiju You , Mengyuan Zhu","doi":"10.1016/j.ejrh.2025.102629","DOIUrl":"10.1016/j.ejrh.2025.102629","url":null,"abstract":"<div><h3>Study region</h3><div>The Lake Qiandaohu basin, China.</div></div><div><h3>Study focus</h3><div>The photothermal environment is crucial for water ecological processes in deep reservoirs, ‌as it is affected by hydrometeorological catchment processes. However, our knowledge remains limited regarding the response of the photothermal environment to different rainfall runoff intensities and changing hydrological processes due to the randomness of hydrometeorological processes. To address this, we collected photothermal environment data from three representative zones of Lake Qiandaohu between 2018 and 2019, analyzing the mechanisms by which rainfall runoff modulates this environment.</div></div><div><h3>New hydrological insights for the region</h3><div>The impact of rainfall runoff on the photothermal environment was influenced by the rainfall intensity and topographic location. Water column mixing occurred in the riverine zone when reservoir inflow exceeded 500 m<sup>3</sup>/s. As rainfall runoff intensity increased, the intrusion of interflow after extreme rainfall events increased the mid-layer water temperature in the transitional zone, forming a double thermocline structure. Moderate, strong, and extreme rainfall runoff substantially reduced the euphotic depth in the riverine zone by increasing the concentrations of optically active substance. The total suspended solids and chlorophyll-a were the primary factors influencing euphotic depth reductions in riverine and transitional zones, respectively (R²=0.64 and 0.45). Rainfall runoff primarily influenced the underwater photothermal environment through pulsed disturbances of the vertical temperature distribution and elevating the concentrations of optically active substances. The effects of rainfall runoff on the photothermal environment should be quantified to ensure the safety of drinking water in reservoirs.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102629"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Runoff composition is insensitive to summer rain contributions in a montane headwater stream 在山地源流中，径流组成对夏季降雨的贡献不敏感

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-25 DOI: 10.1016/j.ejrh.2025.102622

Sidney A. Bush , Andrew L. Birch , Sara Warix , Katherine B. Lininger , Keith N. Musselman , Holly R. Barnard

{"title":"Runoff composition is insensitive to summer rain contributions in a montane headwater stream","authors":"Sidney A. Bush , Andrew L. Birch , Sara Warix , Katherine B. Lininger , Keith N. Musselman , Holly R. Barnard","doi":"10.1016/j.ejrh.2025.102622","DOIUrl":"10.1016/j.ejrh.2025.102622","url":null,"abstract":"<div><h3>Study region</h3><div>Manitou Experimental Forest, a montane, headwater catchment in the Upper South Platte Basin in Colorado, USA.</div></div><div><h3>Study focus</h3><div>In many parts of the western U.S., snowpack drives groundwater recharge that sustains streamflow. However, as climate change reduces snowpack, rainfall inputs may become increasingly crucial for maintaining streamflow. Rainfall inputs can be highly spatiotemporally variable due to differences in antecedent catchment moisture and topography, rainfall totals and intensities (e.g., summer monsoonal rains), and during wet versus dry years. We characterized rainfall and antecedent catchment moisture conditions during spring, summer, and fall seasons between a wet year and two dry years at upper and outlet catchment positions.</div></div><div><h3>New hydrological insights for the region</h3><div>Our findings indicate that rain events have minimal direct influence on the magnitude or composition of streamflow within this headwater montane stream, as groundwater overwhelmingly dominates streamflow regardless of rainfall characteristics or antecedent moisture conditions. Rain event runoff ratios and event water contributions (EV<sub>Tot</sub>) were extremely low (max = 0.18, 13 %, respectively). Using multiple linear regression modeling, we found that antecedent baseflow was positively correlated with summer runoff ratios, and rainfall total was positively correlated with summer EV<sub>Tot</sub>, whereas spring and fall controls on runoff response varied with catchment position. Our findings have implications for rainfall contributions to streamflow, impacting future water delivery in montane headwater streams.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102622"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Nonstationary spatiotemporal evolution of extreme flood and low flow affected by climate change and human activities in the Yellow River basin 气候变化和人类活动影响下黄河流域极端洪涝低流量的非平稳时空演变

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-24 DOI: 10.1016/j.ejrh.2025.102640

Mingming Ren , Shanhu Jiang , Liliang Ren , Yiqi Yan , Hao Cui , Yongwei Zhu , Shuping Du , Miao He , Menghao Wang , Chong-Yu Xu

{"title":"Nonstationary spatiotemporal evolution of extreme flood and low flow affected by climate change and human activities in the Yellow River basin","authors":"Mingming Ren , Shanhu Jiang , Liliang Ren , Yiqi Yan , Hao Cui , Yongwei Zhu , Shuping Du , Miao He , Menghao Wang , Chong-Yu Xu","doi":"10.1016/j.ejrh.2025.102640","DOIUrl":"10.1016/j.ejrh.2025.102640","url":null,"abstract":"<div><h3>Study region</h3><div>The Yellow River Basin, China.</div></div><div><h3>Study focus</h3><div>Extreme weather events occur frequently under global change, and the assumption of stationary for hydrological series may no longer be valid. Therefore, we proposed a new framework based on a nonstationary statistical model that incorporates machine learning for detecting spatiotemporal variations of extreme events.</div></div><div><h3>New hydrological insights for the region</h3><div>The series of these events at most stations show nonstationary characteristics during both the base period and the change period. By optimizing and evaluating different types of nonstationary models based on the Generalized Additive Model for Location, Scale and Shape (GAMLSS), the model with the climate index (<em>CI</em>) and the human-induced index (<em>HI)</em> as covariates demonstrates superior applicability compared to the model using the CI and the reservoir index (<em>RI</em>). Furthermore, the higher probability of extreme flood and low flow were observed at Tangnaihai, while the lower probability of extreme low flow was identified at Huaxian. Extreme flood in the YRB show weak inter-station correlations with high spatial heterogeneity, especially between Tangnaihai and Huayuankou, while extreme low flow is generally well correlated except between Lanzhou and its downstream stations (Toudaoguai and Longmen) due to water withdrawals from irrigation districts. The results provide scientific basis for reservoir flood control, river ecological health and the safety and stability of power systems.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102640"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Machine learning projections of Iran’s water scarcity response to climate-land use synergies 机器学习预测伊朗水资源短缺对气候-土地利用协同效应的响应

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-24 DOI: 10.1016/j.ejrh.2025.102638

Nooshdokht Bayat-Afshary, Mohammad Danesh-Yazdi, Fereshteh Shakeri

{"title":"Machine learning projections of Iran’s water scarcity response to climate-land use synergies","authors":"Nooshdokht Bayat-Afshary, Mohammad Danesh-Yazdi, Fereshteh Shakeri","doi":"10.1016/j.ejrh.2025.102638","DOIUrl":"10.1016/j.ejrh.2025.102638","url":null,"abstract":"<div><h3>Study region</h3><div>Iran faces severe water stress with over 88 million people and 14.2 million hectares of cultivated land. Agriculture consumes over 87 % of national water, with total withdrawals exceeding 80 % of renewable resources. From 2003–2019, total water storage declined by over 200 BCM, exceeding annual national consumption.</div></div><div><h3>Study focus</h3><div>This study analyzed the impacts of climate change and cultivated area on Iran’s total water storage. Country-wide actual evapotranspiration (ET<sub>a</sub>) in agricultural and non-agricultural sectors was simulated using machine learning and statistical analysis. Changes in total water storage were then projected via the water balance equation using bootstrap sampling, under combined climate change and cultivated area management scenarios.</div></div><div><h3>New hydrological insights</h3><div>Projections indicate that by 2100, climate change will increase nationwide ET<sub>a</sub> by up to 7.7 % and agricultural ET<sub>a</sub> by 23.8 %. Even 10 % reduction in cultivated area cannot offset the impacts of changing climate. Under high emissions scenarios, nationwide ET<sub>a</sub> will increase by 37.1 BCM (21 %) and agricultural ET<sub>a</sub> by 17.5 BCM (39 %) compared to the 2009–2014 baseline. Given current consumption trends and high withdrawal ratios (>80 %), aquifer deficits are projected to increase by 300 BCM (42 %) to 578 BCM (174 %) over the next two decades, depending on climate scenarios. These findings warn that failure to manage demand and improve irrigation efficiency in agriculture will seriously threaten the country’s water and food security.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102638"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Integrated flood modelling and risk assessment in urban areas: A review on applications, strengths, limitations and future research directions 城市洪水综合建模与风险评估：应用、优势、局限及未来研究方向综述

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-24 DOI: 10.1016/j.ejrh.2025.102583

Sibuyisele S. Pakati , Cletah Shoko , Timothy Dube

{"title":"Integrated flood modelling and risk assessment in urban areas: A review on applications, strengths, limitations and future research directions","authors":"Sibuyisele S. Pakati , Cletah Shoko , Timothy Dube","doi":"10.1016/j.ejrh.2025.102583","DOIUrl":"10.1016/j.ejrh.2025.102583","url":null,"abstract":"<div><h3>Study region</h3><div>Global scale.</div></div><div><h3>Study focus</h3><div>The purpose of this study is to provide a comprehensive global assessment of urban flood modelling by: (i) critically reviewing the most widely used flood models in urban settings; (ii) synthesizing their operational mechanisms, including the integration of diverse data types and validation techniques; and (iii) evaluating each model's strengths and limitations in simulating flood dynamics and assessing urban flood susceptibility. Furthermore, the paper establishes a framework for selecting acceptable modelling methodologies for successful flood risk management in real-world urban scenarios.</div></div><div><h3>New hydrological insights for the region</h3><div>Hydraulic-hydrological models, and cloud-based geospatial platforms have been widely applied in flood modelling and risk and vulnerability assessment. Despite these advancements, accurate flood modelling remains a challenge due to limitations in input data quality. Among earth observation tools, radar satellite data was identified as the most effective due to its reliability under cloudy and rainy conditions. Enhancing model accuracy and validation remains possible through the integration of both optical and radar data with hydraulic and hydrological models. For example, radar backscatter intensity can be used to estimate flood depths. However, key research gaps remain, notably, the integration of high-resolution climate projections and socio-economic factors into flood risk models, and the application of modelling tools in poorly planned urban areas to assess real-time changes in land use following flood events.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102583"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Effects of ecological drought on vegetation in Inland River Basin of Inner Mongolia Plateau 内蒙古高原内陆河流域生态干旱对植被的影响

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-24 DOI: 10.1016/j.ejrh.2025.102628

Hongxiang Wang , Yanhua Li , Jian Liu , Sinan Wang , Wenxian Guo

{"title":"Effects of ecological drought on vegetation in Inland River Basin of Inner Mongolia Plateau","authors":"Hongxiang Wang , Yanhua Li , Jian Liu , Sinan Wang , Wenxian Guo","doi":"10.1016/j.ejrh.2025.102628","DOIUrl":"10.1016/j.ejrh.2025.102628","url":null,"abstract":"<div><h3>Study region</h3><div>Inland River Basin of Inner Mongolia Plateau(IRB), China.</div></div><div><h3>Study focus</h3><div>Ecological drought (ED) may trigger irreversible ecosystem disruptions, including shifts in habitat distribution patterns and sharp reductions in species populations within affected environments. This research developed the Standardized Ecological Water Deficit Index (SEWDI), while employing the Carnegie-Ames-Stanford Approach (CASA) model to quantify Net Primary Productivity (NPP) variations in Inland River Basin (IRB). The cumulative and laggged effects of ED on NPP were analyzed using the maximum correlation coefficient method. The NPP loss probability of different ED levels was calculated based on Copula function. The impacts of ED and meteorological factors on NPP were examined through Structural Equation Modeling (SEM).</div></div><div><h3>New hydrological insights for the region</h3><div>The results reveal that the mean annual NPP exhibited a distinct southeast-to-northwest gradient in spatial distribution. The maximum cumulative correlation between SEWDI and NPP was 87.89 %, mainly in the southern part of IRB. The maximum lagged time correlation showed a positive correlation of 74.65 %, and the average lagged time was 2.60 months. With the increase of ED grade, the probability of NPP loss decreased, and when ED occurred, the high loss probability of NPP less than 0.4 and 0.3 quantile was located in the eastern part of IRB. The total effect of different factors on NPP was SEWDI (0.086), Prec (0.159), Temp (0.282) and Srad (0.077).</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102628"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Bayesian inference of historical streamflow changes suggests further stress in the Colorado River Basin 历史流量变化的贝叶斯推断表明科罗拉多河流域有进一步的压力

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-23 DOI: 10.1016/j.ejrh.2025.102619

Yuchuan Lai , Byeongseong Choi , Sujoy B. Roy

{"title":"Bayesian inference of historical streamflow changes suggests further stress in the Colorado River Basin","authors":"Yuchuan Lai , Byeongseong Choi , Sujoy B. Roy","doi":"10.1016/j.ejrh.2025.102619","DOIUrl":"10.1016/j.ejrh.2025.102619","url":null,"abstract":"<div><h3>Study region</h3><div>Colorado River Basin (CRB), North America</div></div><div><h3>Study focus</h3><div>Bayesian inference is used to analyze long-term streamflow in the CRB. Key parameters describing long-term hydroclimatic changes are integrated into a state-space model (SSM). Results from Global Climate Models (GCMs), coupled with downscaling and hydrologic modeling, are used by the SSM to inform these parameters, which are then updated based on historical observations. Multidecadal streamflow projections are made using the SSM and subsequently applied to the Colorado River Simulation System (CRSS) model to examine future river system conditions.</div></div><div><h3>New hydrological insights for the region</h3><div>The SSM projects a long-term decline (in both average and upper and lower confidence intervals) of annual streamflow in the CRB. Compared to some GCM-coupled modeling results, the SSM suggests a modest decrease of annual precipitation in the Upper Basin because of climate change (e.g., 2.3 % lower from the long-term average by 2050), a greater temperature sensitivity (reduction per unit temperature increase) of streamflow, and thus a larger streamflow decline. The observed averaged streamflow during 2000–2023 generally aligns with the decreasing trend in the SSM out-of-sample validations and is projected to become an average condition by ∼2040, along with further declines afterwards. Additional river system modeling from the CRSS suggests, despite extraordinary conservations in recent years, additional efforts may be necessary to sustain regional water supply amid climate change.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102619"},"PeriodicalIF":4.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 novel framework for automated water level estimation using CCTV imagery in Yongseong Agricultural Reservoir, South Korea 韩国龙城农业水库闭路电视图像自动水位估计的新框架

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-23 DOI: 10.1016/j.ejrh.2025.102631

Soon Ho Kwon , Suhyun Lim , Seungyub Lee

{"title":"A novel framework for automated water level estimation using CCTV imagery in Yongseong Agricultural Reservoir, South Korea","authors":"Soon Ho Kwon , Suhyun Lim , Seungyub Lee","doi":"10.1016/j.ejrh.2025.102631","DOIUrl":"10.1016/j.ejrh.2025.102631","url":null,"abstract":"<div><h3>Study region</h3><div>The study region is Yongseong Reservoir, located in Gyeongsangbuk-do, South Korea, a small agricultural reservoir primarily used for irrigation and is subject to pronounced hydrological seasonality.</div></div><div><h3>Study focus</h3><div>This study proposes a novel framework for estimating water levels in ungauged agricultural reservoirs using images from CCTVs originally installed for security purposes. The method integrates a U-Net-based water-body segmentation model with four machine learning regression algorithms (support vector regression, SVR; random forest, RF; extreme gradient boosting, XGB; and light gradient boosting machine, LGBM) to predict reservoir water levels from segmented water pixel counts. Importantly, we assess the potential of region of interest (ROI) filtering to enhance prediction accuracy, demonstrating that surveillance camera imagery can be effectively repurposed for hydrological monitoring in data-scarce environments.</div></div><div><h3>New hydrological insights for the region</h3><div>The results revealed that ROI filtering significantly improved prediction performance, increasing R² by 10–20 % and reducing root mean squared error by up to 0.197 (for RF). The RF model achieved the highest overall accuracy (R² = 0.964), while SVR performed best during no temporal variations. XGB and LGBM showed balanced residuals but slightly underestimated water levels during peak fluctuations. This study demonstrates the feasibility of image-based water-level estimation in ungauged agricultural reservoirs using security CCTVs. The results underscore the importance of spatial input refinement (ROI filtering) for reliable hydrological modeling.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102631"},"PeriodicalIF":4.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Spatiotemporal variations of Manning’s roughness coefficient in the estuary of Langsa River based on field measurements and hydraulic modeling 基于实测和水力模拟的朗萨河河口曼宁粗糙度系数时空变化

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-23 DOI: 10.1016/j.ejrh.2025.102632

Faiz Isma , Muhammad Syahril Badri Kusuma , Mohammad Bagus Adityawan , Eka Oktariyanto Nugroho

{"title":"Spatiotemporal variations of Manning’s roughness coefficient in the estuary of Langsa River based on field measurements and hydraulic modeling","authors":"Faiz Isma , Muhammad Syahril Badri Kusuma , Mohammad Bagus Adityawan , Eka Oktariyanto Nugroho","doi":"10.1016/j.ejrh.2025.102632","DOIUrl":"10.1016/j.ejrh.2025.102632","url":null,"abstract":"<div><h3>Study region</h3><div>Langsa City is one of Indonesia's coastal areas prone to flooding due to tidal flows and seasonal rainfall.</div></div><div><h3>Study focus</h3><div>This study aims to determine the Manning roughness coefficient (n) dynamically using the Manning distribution permutation method for tidal flow and upstream discharge. A HEC-RAS 1D hydraulic model is used to predict flood levels by combining water level data in the dry season and rainy season in tidal rivers. The model is calibrated statistically at four locations based on the width-to-depth (W/D) ratio to ensure accuracy. River segments are classified as wide-SHALLOW if W/D > 10 and narrow-DEEP if W/D < 10.</div></div><div><h3>New hydrological insights for the region</h3><div>The study reveals that the Manning coefficient needs to be adjusted according to the ratio of river segments, especially those with a width-to-depth ratio of less than 10. Dynamic changes in the Manning coefficient are observed in tidal rivers, especially during upstream flood periods; the n value increases to 0.090 during low flow conditions, transitioning to high tide, and decreases to 0.055 during the flood period in the upper reaches. Additionally, a 29.35 % increase in upstream discharge during the rainy season highlights the sensitivity of local hydrographs to environmental changes. These findings support the development of early warning systems for tidal rivers in coastal areas, thereby strengthening flood management and mitigation strategies.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102632"},"PeriodicalIF":4.7,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144685446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Evaluating the effects of managed aquifer recharge using the MODFLOW model: A case study of the gash aquifer, Kassala, Sudan 利用MODFLOW模型评价含水层补给管理的效果：以苏丹Kassala地区的裂隙含水层为例

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-07-22 DOI: 10.1016/j.ejrh.2025.102617

Mojahid Almahi , Haishen Lü , Yonghua Zhu

{"title":"Evaluating the effects of managed aquifer recharge using the MODFLOW model: A case study of the gash aquifer, Kassala, Sudan","authors":"Mojahid Almahi , Haishen Lü , Yonghua Zhu","doi":"10.1016/j.ejrh.2025.102617","DOIUrl":"10.1016/j.ejrh.2025.102617","url":null,"abstract":"<div><h3>Study region</h3><div>The Gash aquifer, located in the drought-prone Kassala region of eastern Sudan</div></div><div><h3>Study focus</h3><div>Groundwater resources face growing global threats from over-extraction, limited recharge, and climate change—especially in arid and semi-arid regions like Kassala—highlighting the need for sustainable management approaches. Managed aquifer recharge (MAR) is a promising strategy to mitigate groundwater depletion. This study evaluates the effects of MAR using a numerical groundwater flow model developed in MODFLOW through Processing MODFLOW (PMWIN), calibrated over a nine-year period (2008–2017) using data from the Directorate of Groundwater, Kassala. The model simulates three MAR scenarios targeting different zones of the Gash aquifer: upstream (Scenario 1), central Kassala (Scenario 2), and downstream (Scenario 3).</div></div><div><h3>New hydrological insights for the region</h3><div>Scenario 2 produced the most significant improvements in groundwater levels, with spatial variations based on recharge location. The total volume required for artificial recharge—defined as the annual gap between groundwater demand and the lowest recorded natural recharge—was estimated at 109 million m³ annually. An average annual recharge of 19 million m³ would stabilize groundwater levels to those observed in June 2017. Without intervention, groundwater levels may decline by about 20 m by June 2045, particularly in northern Kassala. These findings emphasize the importance of optimal recharge placement for sustaining groundwater resources. These insights support MAR planning in similarly arid, water-stressed regions.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102617"},"PeriodicalIF":4.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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