Journal of Hydrology-Regional Studies最新文献_第6页

Groundwater potential zonation mapping using GIS-based MCDM approach in east Gojjam zone, central Ethiopia 利用基于gis的MCDM方法在埃塞俄比亚中部Gojjam东部地区进行地下水潜力分区制图

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-07 DOI: 10.1016/j.ejrh.2025.102494

Chalachew Tesfa, Demeke Sewnet

{"title":"Groundwater potential zonation mapping using GIS-based MCDM approach in east Gojjam zone, central Ethiopia","authors":"Chalachew Tesfa, Demeke Sewnet","doi":"10.1016/j.ejrh.2025.102494","DOIUrl":"10.1016/j.ejrh.2025.102494","url":null,"abstract":"<div><h3>Study region</h3><div>The study area is located in the East Gojjam zone, Amhara, Ethiopia; the area covers the Choke Mount and is surrounded by the Abbay River.</div></div><div><h3>Study focus</h3><div>The primary focus of the study was assessing the possible groundwater sites in the selected area using the Analytical Hierarchy Process (AHP) with the Geographic Information System (GIS) approach for groundwater exploration and investigation.</div></div><div><h3>New hydrological insights for the region</h3><div>Water is a very important resource used to the day-to-day activities in our life, which is found naturally on the surface and subsurface of the Earth. The study area is a part of a nation-wide economically significant region in Ethiopia and the Horn. The area is the primary water supply (Choke Mountain) for the Ethiopian Grand Ethiopian Renaissance Dam (GERD) receives the highest water supply from this region. The results of the study show that the groundwater potential zones in the area are mapped as poor, moderate, high, and very high groundwater potential areas. The Validations of the results were made using the borehole log data, and reasonably accepted the rationality of the adopted methodology. The considered parameters, as well as their evaluation of the production of the groundwater potential Map, were confirmed. The produced Groundwater potential map is very important for Irrigation Engineers, domestic water supply studies, agricultural studies, environmentalists, and future groundwater conservation strategies.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102494"},"PeriodicalIF":4.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230401","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

Dynamics of groundwater drought in the Yellow River source area and its surface influences 黄河源区地下水干旱动态及其地表影响

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-07 DOI: 10.1016/j.ejrh.2025.102512

Huiwu Zhang , Gang Liu , Jing He , Yue Hu

{"title":"Dynamics of groundwater drought in the Yellow River source area and its surface influences","authors":"Huiwu Zhang , Gang Liu , Jing He , Yue Hu","doi":"10.1016/j.ejrh.2025.102512","DOIUrl":"10.1016/j.ejrh.2025.102512","url":null,"abstract":"<div><h3>Study region</h3><div>Yellow River source area in China.</div></div><div><h3>Study focus</h3><div>The primary objective of this study is to investigate the dynamic evolution of groundwater drought events in the source area of the Yellow River over the past two decades. By adopting a three-dimensional perspective, the study aims to characterize and quantify the severity of droughts and analyze their spatiotemporal characteristics. In addition, it explores the seasonal relationships between groundwater drought and key surface factors—elevation, slope, and land use.</div></div><div><h3>New hydrological insights for the region</h3><div>This study systematically identifies persistent groundwater drought events and their consistent spatial centers, setting it apart from previous research that primarily focused on single indices or short-term trends. The most severe drought event occurred between 2017 and 2018. By incorporating surface factors such as elevation, slope, and land use, and examining their seasonal interactions with drought patterns, the study reveals that high-elevation, steep-slope areas, as well as regions dominated by bare land or grassland, are more vulnerable to groundwater drought, particularly during winter. In contrast, wetlands and water bodies exhibit low and stable drought risk. Unlike prior studies that mainly emphasized macro-level drivers, this research places greater focus on surface conditions influencing groundwater drought. These findings enhance understanding of hydrological mechanisms in fragile plateau regions and help identify high drought-risk areas for targeted management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102512"},"PeriodicalIF":4.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231855","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

Sensitivity analysis of planetary boundary layer and microphysics parameterization schemes in WRF model for Guwahati urban domain 古瓦哈提城区WRF模型行星边界层敏感性分析及微物理参数化方案

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-07 DOI: 10.1016/j.ejrh.2025.102506

Ved Prakash , Om Prakash Vats , Aniket Chakravorty , Uditha Ratnayake , Rajib Kumar Bhattacharjya

{"title":"Sensitivity analysis of planetary boundary layer and microphysics parameterization schemes in WRF model for Guwahati urban domain","authors":"Ved Prakash , Om Prakash Vats , Aniket Chakravorty , Uditha Ratnayake , Rajib Kumar Bhattacharjya","doi":"10.1016/j.ejrh.2025.102506","DOIUrl":"10.1016/j.ejrh.2025.102506","url":null,"abstract":"<div><h3>Study region</h3><div>Guwahati, Assam, India.</div></div><div><h3>Study focus</h3><div>Increasing frequency of flash floods highlights the critical necessity for a reliable flood forecasting system to minimize potential human and property losses. Numerical Weather Prediction models plays crucial role in informed decision-making and risk mitigation, especially the challenge of flood forecasting, which requires precise and high-resolution precipitation forecasts. This study delves into a detailed parameter sensitivity analysis to improve the accuracy of precipitation forecasts within a mesoscale urban climate. By conducting simulations using Weather Research and Forecasting model, coupled with Local Climate Zone map, research concentrates on refining mesoscale simulations tailored for urban climates.</div></div><div><h3>New hydrologic insights for the region</h3><div>Model performance is thoroughly assessed by comparing the simulated precipitation data from WRF model with observed MSWEP data. This study explores application of a multi-criteria-based decision-making method, TOPSIS analysis. Based on TOPSIS analysis, among 10 combinations of Microphysics and Planetary Boundary Layer schemes, WSM6-MYJ, WSM6-BL, and WSM5-MYJ configurations consistently emerged as the most effective across all significant rainfall events. These combinations demonstrated strong correlation coefficients of 0.96, 0.76, and 0.94, respectively. Correspondingly, their RMSE (in mm) values were found to be 1.72, 1.5, and 2. The findings of this research offer valuable guidance for selecting parameterization schemes to enhance the precision of urban atmospheric simulations, consequently improving predictive capabilities and assisting in resilience development against extreme weather events.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102506"},"PeriodicalIF":4.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230400","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

Developing reservoir drought index and conducting copula-based frequency analysis for Lake Urmia basin in Iran 伊朗乌尔米亚湖流域水库干旱指数建立及copula频率分析

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-07 DOI: 10.1016/j.ejrh.2025.102476

Sina Sadeghfam , Hadi Farmani , Rasoul Mirabbasi

{"title":"Developing reservoir drought index and conducting copula-based frequency analysis for Lake Urmia basin in Iran","authors":"Sina Sadeghfam , Hadi Farmani , Rasoul Mirabbasi","doi":"10.1016/j.ejrh.2025.102476","DOIUrl":"10.1016/j.ejrh.2025.102476","url":null,"abstract":"<div><h3>Study region</h3><div>This study investigates the hydrological drought applied to five reservoirs in the Lake Urmia basin in Iran, a region suffering from unsustainable water resource management.</div></div><div><h3>Study focus</h3><div>The study develops the Standardized Reservoir Index (SRI) for analyzing reservoir droughts using the standardization technique. Also, the copula analysis was conducted to calculate joint probabilities and return periods of drought characteristics, i.e., duration and severity. The Standardized Precipitation Index (SPI) and SRI time series were analyzed with the Sustainability Index (SI) to capture the anthropogenic impact on drought exacerbation.</div></div><div><h3>New hydrological insights for the region</h3><div>The results reveal a 7- to 9-month lag time to propagate from meteorological drought (SPI) to hydrological drought (SRI). A comparison of SPI and SRI shows a significant SI decrease between 2 % and 13 %, highlighting anthropogenic impacts on drought exacerbation. Examination of the precipitation trend using the modified Mann-Kendall test also shows an insignificant trend at the 5 % significance level. The copulas were fitted with high accuracy, with Nash Sutcliffe efficiency values between 0.9 and 1, and root mean square error below 0.16. The results indicate that, from the perspective of the OR state, exacerbated hydrological droughts are detectable in the investigated reservoirs. The average probability of occurrence was 42 % for meteorological droughts and 46 % for hydrological droughts, for different severity and duration values.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102476"},"PeriodicalIF":4.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230398","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 hybrid machine learning approach to unravel monsoon variability and meteorological dynamics of Pakistan's 2010 and 2022 historic floods 一种混合机器学习方法来揭示巴基斯坦2010年和2022年历史性洪水的季风变化和气象动态

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-07 DOI: 10.1016/j.ejrh.2025.102505

Sana Nazli , Jiahong Liu , Tianxu Song , Shan-e-hyder Soomro , Haibin Wang

{"title":"A hybrid machine learning approach to unravel monsoon variability and meteorological dynamics of Pakistan's 2010 and 2022 historic floods","authors":"Sana Nazli , Jiahong Liu , Tianxu Song , Shan-e-hyder Soomro , Haibin Wang","doi":"10.1016/j.ejrh.2025.102505","DOIUrl":"10.1016/j.ejrh.2025.102505","url":null,"abstract":"<div><h3>Study region</h3><div>Pakistan.</div></div><div><h3>Study focus</h3><div>While large-scale climatic conditions have been studied, localized meteorological dynamics and their role in flooding are not fully understood<strong>.</strong> This study examined the factors associated with the flood events of 2010 and 2022. The research employed Random Forest Regression (RFR) to evaluate how key climate variables influence different pressure levels, achieving notable predictive accuracy for both years (2010: R² = 0.72, MAE = 0.29, RMSE = 0.41; 2022: R² = 0.68, MAE = 0.24, RMSE = 0.36). Principal Component Analysis (PCA) was employed to simplify the data and highlight important components to enhance the understanding of atmospheric variability. Subsequently, K-means clustering classified monsoon regimes into Active and Break phases, assisting in recognizing time-based patterns in the monsoon cycle.</div></div><div><h3>New hydrological insights for the region</h3><div>The study presented new perspectives on the localized atmospheric dynamics affecting flood events, even under comparable large-scale climatic conditions. It highlighted the influence of specific meteorological variables such as moisture flux and jet stream patterns. These insights are crucial for refining flood forecasting models, improving regional flood management practices, and providing actionable information to policymakers regarding climate change.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102505"},"PeriodicalIF":4.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230399","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

Coordinating high-quality economic development and water resources carrying capacity in the Yangtze River Basin cities: Achieving sustainable development goals 协调长江流域城市经济高质量发展与水资源承载力：实现可持续发展目标

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-06 DOI: 10.1016/j.ejrh.2025.102502

Shuhui Yang , Zhigang Li , Zixuan Zhang , Keyao Yu

{"title":"Coordinating high-quality economic development and water resources carrying capacity in the Yangtze River Basin cities: Achieving sustainable development goals","authors":"Shuhui Yang , Zhigang Li , Zixuan Zhang , Keyao Yu","doi":"10.1016/j.ejrh.2025.102502","DOIUrl":"10.1016/j.ejrh.2025.102502","url":null,"abstract":"<div><h3>Study region</h3><div>53 Yangtze River Basin cities (YRBC), categorized into 26 mainstream cities (MC), 13 tributary cities (TC), and 14 linking lake cities (LLC).</div></div><div><h3>Study focus</h3><div>The relationship between high-quality economic development (HED) and water resources carrying capacity (WRCC), along with its key factors, has not been systematically studied. Few studies have differentiated YRBC into MC, TC, and LLC for comparative analysis. This study applies the CRITIC-TOPSIS method and the coupling coordination degree (CCD) model to evaluate the CCD between HED and WRCC. Additionally, the fixed effect Tobit model is used to identify the key factors influencing CCD across MC, TC, and LLC.</div></div><div><h3>New hydrological insights for the region</h3><div>The research found, (1) The CCD is being upgraded towards intermediate coordination. (2) The CCD in the middle and upper reaches is surpassing that of the lower reaches; the cold and hot spot pattern has shifted from \"central cold, eastern hot\" to \"western cold, central hot\". (3) The key positive factors for MC, TC, and LLC are regional aggregation capacity (RAC), technology investment level, and economic development level, respectively; the key negative factor for TC and LLC is government general public budget capacity and RAC. These conclusions provide a basis for the differentiated improvement strategies for MC, TC, and LLC, offering valuable insights for the sustainable development of cities in similar river basins globally.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102502"},"PeriodicalIF":4.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231856","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

Hillslope flow paths in snowmelt and rainfall seasons in permafrost-underlain areas, Northeastern Tibetan Plateau: Investigation based on hydrochemical tracers and end-member mixing analysis 基于水化学示踪剂和端元混合分析的青藏高原东北部多年冻土下垫区融雪和降雨季节坡道流道研究

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-06 DOI: 10.1016/j.ejrh.2025.102511

Xiong Xiao , Fan Zhang , Fengjing Liu , Xiaoyan Li , Xiaonan Shi , Chen Zeng , Tao Che

{"title":"Hillslope flow paths in snowmelt and rainfall seasons in permafrost-underlain areas, Northeastern Tibetan Plateau: Investigation based on hydrochemical tracers and end-member mixing analysis","authors":"Xiong Xiao , Fan Zhang , Fengjing Liu , Xiaoyan Li , Xiaonan Shi , Chen Zeng , Tao Che","doi":"10.1016/j.ejrh.2025.102511","DOIUrl":"10.1016/j.ejrh.2025.102511","url":null,"abstract":"<div><h3>Study area</h3><div>The Binggou and adjacent Yakou catchments in the northeastern Tibetan Plateau.</div></div><div><h3>Study focus</h3><div>Hillslope flow paths were studied using hydrochemical data of various water types in the spring snowmelt and summer rainfall periods based on hydrochemical tracers and end-member mixing analysis.</div></div><div><h3>New hydrological insights for the study region</h3><div>End-member mixing analysis confirmed the dominance of surface and near-surface runoff during the spring snowmelt. Specifically, the spring Binggou stream water had 61 % surface runoff, 22 % shallow groundwater, and 17 % near-surface runoff. The spring Yakou stream water had 64 % snowmelt, 25.5 % near-surface runoff, and 10.5 % riparian saturated soil water at a depth of 20 cm. The application of end-member mixing analysis failed in the summer rainfall period, and shallow subsurface flow contributed the most to the streamflow (∼ 100 %). The average acid-neutralizing capacity of the spring Yakou stream water was 611 μeq/L, increasing to 841 μeq/L in the summer, and for the Binggou stream water, the values were 747 μeq/L and 1084 μeq/L, respectively, indicating that the thawed soil layers had a significant buffering effect on stream water chemistry. This study revealed seasonal shifts in flow paths and stream sources, with a transition from surface to subsurface flow influenced by meteorological conditions and the active layer thickness. Future climate change may enhance subsurface flow recharge, leading to less diluted streamflow and stronger water-soil interactions.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102511"},"PeriodicalIF":4.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221325","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

Impact of hydrological processes on the benthic macroinvertebrate biodiversity in floodplain wetlands: A regional study of Poyang lake 水文过程对漫滩湿地底栖大型无脊椎动物生物多样性的影响——以鄱阳湖为例

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-06 DOI: 10.1016/j.ejrh.2025.102509

Siyang Yao , Xinyuan Liu , Jutao Liu , Siyu Wan

{"title":"Impact of hydrological processes on the benthic macroinvertebrate biodiversity in floodplain wetlands: A regional study of Poyang lake","authors":"Siyang Yao , Xinyuan Liu , Jutao Liu , Siyu Wan","doi":"10.1016/j.ejrh.2025.102509","DOIUrl":"10.1016/j.ejrh.2025.102509","url":null,"abstract":"<div><h3>Study region</h3><div>Poyang Lake, China's largest freshwater lake and a renowned floodplain wetland, is enlisted in the Ramsar Convention.</div></div><div><h3>Study focus</h3><div>The hydrological process (HP), a vital part of the hydrological regime, notably affects biodiversity patterns in floodplain wetlands. However, the pathways through which hydrological process impacts the benthic macroinvertebrate biodiversity remain ambiguous.</div></div><div><h3>New hydrological insights for the region</h3><div>Across the rising, flooding, and falling water level stages, HP indicators exhibited diverse relationships with biodiversity. During the rising and falling stages, the relationship manifested as an inverted U-shaped trend; in the flooding stage, the biodiversity exhibited a U-shaped decreasing trend. The impact of HPs on biodiversity was complex. In the rising stage, the HP exerted a direct influence on biodiversity, with a path coefficient of −0.633. Additionally, it indirectly affected biodiversity through water quality indicators, with an indirect path coefficient of −0.773. In the flooding stage, the HP exerted an indirect influence on biodiversity via water temperature and landscape indicators, with the corresponding path coefficients of 0.185 and −0.367, respectively. During the falling stage, the HP directly affected biodiversity, as indicated by a path coefficient of −0.564, and also indirectly influenced it through water temperature, with an indirect path coefficient of −0.799. Overall, the indirect effect was more prominent in the rising and falling stages, while the direct impact was insignificant in the flooding stage.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102509"},"PeriodicalIF":4.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221326","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

Dual effects of climate change and socioeconomic development on flood exposure in the Yellow River Basin, China 气候变化和社会经济发展对黄河流域洪涝灾害的双重影响

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-06 DOI: 10.1016/j.ejrh.2025.102504

Yixin Sun , Qiang Zhang , Gang Wang , Chong-Yu Xu , Vijay P. Singh , Da Liu , Kaiwen Zhang , Anlan Feng , Hushuang Ma

{"title":"Dual effects of climate change and socioeconomic development on flood exposure in the Yellow River Basin, China","authors":"Yixin Sun , Qiang Zhang , Gang Wang , Chong-Yu Xu , Vijay P. Singh , Da Liu , Kaiwen Zhang , Anlan Feng , Hushuang Ma","doi":"10.1016/j.ejrh.2025.102504","DOIUrl":"10.1016/j.ejrh.2025.102504","url":null,"abstract":"<div><h3>Study region</h3><div>The Yellow River Basin (YRB) in China.</div></div><div><h3>Study focus</h3><div>This research constructs and evaluates future flood-inundated urban land, population exposure, and GDP exposure in the YRB under various SSP-RCP scenarios. It also discusses the contributions of different factors to changes in exposure and quantifies the future flood control efficiency of flood protection measures.</div></div><div><h3>New hydrological insights for the region</h3><div>We find that provinces in the lower YRB have a higher proportion of flood-inundated urban land. By the end of the 21st century, the proportion of flood-inundated urban land of the cities in lower YRB is expected to increase. Meanwhile, the average population exposure in the YRB under different SSP scenarios will decrease by 6.22–47.23 %, while GDP exposure will increase by 68–72 % across all SSP scenarios. Compared to climate change, socio-economic development is the primary factor influencing flood exposure. Considering flood protection measures, the lower YRB exhibit higher flood control efficiency, while middle and upper YRB still face high exposure due to insufficient effectiveness of protection measures. Protective efficiency of existing flood control measures will further decline with climate change: by the end of the 21st century, only 25 % of cities in the YRB will effectively reduce population exposure, and 35 % will mitigate GDP exposure.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102504"},"PeriodicalIF":4.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144231857","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

Streamflow estimation in the Indus River Basin using a water balance framework and artificial neural networks with satellite- and model-derived global hydro-climatic data sources 基于水平衡框架和人工神经网络的印度河流域流量估算与卫星和模型衍生的全球水文气候数据源

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-06 DOI: 10.1016/j.ejrh.2025.102510

Hira Sattar, Tsuyoshi Kinouchi

{"title":"Streamflow estimation in the Indus River Basin using a water balance framework and artificial neural networks with satellite- and model-derived global hydro-climatic data sources","authors":"Hira Sattar, Tsuyoshi Kinouchi","doi":"10.1016/j.ejrh.2025.102510","DOIUrl":"10.1016/j.ejrh.2025.102510","url":null,"abstract":"<div><h3>Study Region</h3><div>The Indus River Basin (IRB) and the Upper Indus Basin (UIB).</div></div><div><h3>Study focus</h3><div>Uncertainties in key water balance components, such as precipitation (P) and evapotranspiration (E), present a critical challenge for streamflow estimation, particularly in large, data-scarce basins like the IRB, where significant spatiotemporal climate variability exists. To address these uncertainties and enhance streamflow estimation, we applied water balance-based methods. First, the water balance framework was employed to select the best-performing datasets for P and E from various sources, including satellite observations, reanalysis products, and combined satellite-gauge data. These selected datasets, together with terrestrial water storage (TWS) from the Gravity Recovery and Climate Experiment (GRACE), were then used in separate applications of the water balance equation and artificial neural networks (ANN) for streamflow estimation.</div></div><div><h3>New hydrological insights for the region</h3><div>Our findings indicate that MERRA2 reanalysis products for P and E provided the least closure error for the IRB, while ERA5 P performed better for the UIB. The streamflow estimation using the ANN models demonstrated high accuracy for both basins. The water balance equation also showed good performance in streamflow prediction for the UIB, suggesting that this method could be effectively used without the need for model training or auxiliary datasets. Our study demonstrates the potential and limitations of water balance concept to improve streamflow estimation in large, data-scarce river basins.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102510"},"PeriodicalIF":4.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230397","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