Journal of Hydrology-Regional Studies最新文献_第7页

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

TS-InSAR assessment of groundwater overexploitation-land subsidence linkage: Hengshui case study 地下水超采与地面沉降联动的TS-InSAR评价——以衡水为例

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-05 DOI: 10.1016/j.ejrh.2025.102489

Yan An , Qiang Shen , C.K. Shum , Fan Gao , Xu Zhang , Liming Jiang , Hansheng Wang

{"title":"TS-InSAR assessment of groundwater overexploitation-land subsidence linkage: Hengshui case study","authors":"Yan An , Qiang Shen , C.K. Shum , Fan Gao , Xu Zhang , Liming Jiang , Hansheng Wang","doi":"10.1016/j.ejrh.2025.102489","DOIUrl":"10.1016/j.ejrh.2025.102489","url":null,"abstract":"<div><h3>Study region</h3><div>Hengshui City, situated in the North China Plain (NCP), China, is a semi-arid area characterized by intensive agricultural activities and chronic groundwater overdraft due to scarce surface water availability.</div></div><div><h3>Study focus</h3><div>This study aims to quantify long-term groundwater storage changes and reveal the aquifer system's response mechanisms in a typical multi-aquifer setting. We employ Sentinel-1A data for multi-year time-series interferometric synthetic aperture radar (InSAR) analysis to assess surface deformation patterns in Hengshui City from 2017 to 2024. Seasonal deformation was separated, phase lag was corrected, and confined aquifer head changes incorporated to estimate the elastic skeletal storage coefficient (ESSC) and groundwater storage change (GWSC) in deep aquifers.</div></div><div><h3>New hydrological insights for the region</h3><div>Results show subsidence dominates in Hengshui City, with rates up to 141 mm/year (2017–2024), mainly due to falling confined aquifer heads and delayed aquitard drainage. ESSC ranges from <span><math><mrow><mn>0.98</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></math></span> to <span><math><mrow><mn>3.63</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></math></span>, with annual deep groundwater loss around −0.57 km³ . Overall, aquifer heterogeneity contributes to spatial variability in parameters, causing uneven subsidence and water storage dynamics. This work offers new insights into groundwater monitoring in Hengshui, constraining groundwater-subsidence modeling. It also demonstrates InSAR’s strong capability in detecting subsurface deformation and multi-scale hydrological variations.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102489"},"PeriodicalIF":4.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212642","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

Increased water availability and high flows in an ungauged Kenyan catchment: A comprehensive SWAT+ model evaluation for climate change assessment 肯尼亚未计量集水区水资源供应增加和高流量：气候变化评估的SWAT+综合模型评估

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-05 DOI: 10.1016/j.ejrh.2025.102497

Pablo Sarmiento, Jingshui Huang, Timo Schaffhauser, Markus Disse

{"title":"Increased water availability and high flows in an ungauged Kenyan catchment: A comprehensive SWAT+ model evaluation for climate change assessment","authors":"Pablo Sarmiento, Jingshui Huang, Timo Schaffhauser, Markus Disse","doi":"10.1016/j.ejrh.2025.102497","DOIUrl":"10.1016/j.ejrh.2025.102497","url":null,"abstract":"<div><h3>Study region</h3><div>The Sand River Basin, Kenya</div></div><div><h3>Study focus</h3><div>This study presents a comprehensive methodology for assessing climate change impacts in ungauged basins. A systematic approach was applied to evaluate model performance and conduct a robust analysis of hydrological responses to climate change. Five remote sensing evapotranspiration products were evaluated, with the best-performing product selected for further analysis, including climate period robustness and cross-validation with soil moisture. Climate scenarios were constructed based on three pathways (SSP1–2.6, SSP3–7.0, SSP5–8.5) for near (2025–2054) and far future (2070–2099) periods, using five General Circulation Models (GCMs) from the ISIMIP3b dataset linked to CMIP6.</div></div><div><h3>New hydrological insights for the region</h3><div>Results show projected increases in temperature and precipitation across all climate scenarios, becoming more pronounced in the far future under SSP3–7.0 and SSP5–8.5, where early rains are expected in both rainy seasons. The hydrological responses indicate increases in water availability, with strong rises in high flows. These projections are most significant during the far future where the annual average water yield is expected to increase to 179.2 mm (+154.9 %) under SSP3–7.0 and to 185 mm (+163.1 %) under SSP5–8.5. These results highlight the potential implications of climate change on the hydrological components of the basin, providing valuable insights for mitigation and adaptation strategies in the region.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102497"},"PeriodicalIF":4.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221324","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

Fine-grained analysis and mapping of urban flood susceptibility with interpretable machine learning: A case study of Hefei, China 基于可解释机器学习的城市洪水易感性精细分析与制图——以合肥为例

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-04 DOI: 10.1016/j.ejrh.2025.102501

Ziyao Xing , Guijia Lyu , Yu Yao , Zhe Liu , Xiaodong Zhang

{"title":"Fine-grained analysis and mapping of urban flood susceptibility with interpretable machine learning: A case study of Hefei, China","authors":"Ziyao Xing , Guijia Lyu , Yu Yao , Zhe Liu , Xiaodong Zhang","doi":"10.1016/j.ejrh.2025.102501","DOIUrl":"10.1016/j.ejrh.2025.102501","url":null,"abstract":"<div><h3>Study region</h3><div>Built-up area of Hefei City, China.</div></div><div><h3>Study focus</h3><div>Climate change has increased frequency of extreme rainfall events. Mapping the urban flood susceptibility and exploring the impact factors can enhance urban resilience. Existing methods often treat cities as uniform entities, making it challenging to capture the complexity of these localized characteristics. This paper proposes a novel approach combining interpretable machine learning and spatial autocorrelation. An ensemble learning model assesses susceptibility by incorporating terrain, urban construction, and precipitation factors. An improved spatial weight matrix is proposed to perform spatial autocorrelation for revealing spatial distribution of flood susceptibility, and the local factors are explained by LIME to provide a fine-grained analysis of different regions.</div><div>New hydrological insights for the region: (1)NDVI is the most influential factor emphasizing the importance of green spaces in urban flood regulation. (2)Micro-topography significantly affects urban flood susceptibility, and normalizing DSM based on micro-watersheds provides an accurate representation. (3)High flood susceptibility in Hefei, as revealed by spatial autocorrelation analysis, follows patterns similar to built-up areas and is influenced by major roads. Based on this, LIME analysis reveals distinct regional impact factors, such as NDVI, land use, distance to water bodies, and road density, supporting targeted flood management strategies. These findings can provide valuable insights for flood prevention and urban planning, contributing to the overall resilience of the urban environment.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102501"},"PeriodicalIF":4.7,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212641","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

Optimized water allocation with managed groundwater recharge and prioritized wetland deliveries to moderate human-nature water use tradeoffs under climate change 在气候变化条件下，通过管理地下水补给和优先湿地输送优化水资源分配，实现人与自然用水平衡

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-03 DOI: 10.1016/j.ejrh.2025.102496

Liying Li , Mustafa S. Dogan , Mahesh Maskey , José M. Rodriguez-Flores , Kellie B. Vache , Spencer Cole , Sarah E. Null , Joshua H. Viers , Mohammad Safeeq , Josue Medellin-Azuara , Martha Conklin

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