Journal of Hydrology最新文献

{"title":"Assessing groundwater discharge and associated nutrient loads in a large shallow ice-covered lake using thermal infrared remote sensing, 222Rn, and 18O","authors":"Haiting Liang ,&nbsp;Sinan Du ,&nbsp;Ningfei Li ,&nbsp;Yongqi Wang ,&nbsp;Hang Lyu ,&nbsp;Xiaosi Su","doi":"10.1016/j.jhydrol.2025.133895","DOIUrl":"10.1016/j.jhydrol.2025.133895","url":null,"abstract":"<div><div>Lacustrine groundwater discharge (LGD) is a critical component of water balance and a major pollutant pathway in lake systems. Quantifying LGD in large ice-covered lakes predominantly relies on a well-mixed mass balance model of environmental tracers. This approach excludes the vertical stratification of these tracers in lake water, leading to distorted results. In this study, groundwater discharge areas were determined by satellite thermal infrared remote sensing. Improved multilayer mass balance models for ²²²Rn and δ¹⁸O were developed to study the LGD and associated nutrient loads in Chagan Lake. The results show that: (1) ²²²Rn and δ¹⁸O in lake water showed significant vertical stratification. The multilayer models for ²²²Rn and δ¹⁸O improve the accuracy of LGD quantification, reducing average uncertainties by 7.7 % and 27.6 %, respectively, compared to the corresponding well-mixed models. (2) The ²²²Rn multilayer model is optimal for quantifying LGD (13.0 × 10⁵ m³/d). Conventional sediment equilibration experiments at normal temperatures underestimated actual sediment diffusion fluxes during ice-covered periods, introducing a 9.7 % LGD error. (3) Groundwater with relatively lower N:P ratios contributes substantial TP inputs to lacustrine systems, potentially alleviating the phosphorus limitation in the lake and stimulating algal proliferation through phosphorus enrichment. These results improve LGD quantification accuracy and associated nutrient load calculations for large ice-covered lakes, providing additional insights into lake eutrophication mechanisms and effective management strategies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133895"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656192","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 three-dimensional Copula-based standardized temperature precipitation evapotranspiration water storage index for comprehensive drought monitoring","authors":"Xing Huang ,&nbsp;Qiongfang Li ,&nbsp;Chuanhao Wu ,&nbsp;Junliang Jin ,&nbsp;Shuhong Xu ,&nbsp;Xingye Han ,&nbsp;Peng Shi ,&nbsp;Qihui Chen ,&nbsp;Yiqun Sun","doi":"10.1016/j.jhydrol.2025.133898","DOIUrl":"10.1016/j.jhydrol.2025.133898","url":null,"abstract":"<div><div>Traditional drought indices can usually only monitor a single type of drought from fixed perspective, and fail to reflect the comprehensive impact of different types of droughts from multiple perspectives. This study proposed a multivariate drought index (MDI) based on the three-dimensional Copula model by integrating standardized precipitation evapotranspiration index (SPEI), standardized terrestrial water storage index (STWSI), and standardized temperature index (STI). Taking Yangtze River Basin (YZRB) as the study area, we comprehensively evaluated the adaptability of MDI in monitoring the occurrence and characteristics of different types of droughts, as well as tracking the spatiotemporal evolution process of drought events. The results indicated that MDI can accurately track the occurrence and development of drought events, and effectively identify various drought characteristics (e.g., severity, affected-area), which match well with other drought indices. Moreover, compared with other indices, MDI can more comprehensively reflect different types of droughts from meteorological drought to hydrological drought, and also show good potential in monitoring compound drought-heat events. Seasonal drought analysis based on MDI suggested that YZRB is susceptible to mild and moderate droughts in spring and winter, with a decreasing trend in drought area, while it is prone to severe and extreme droughts in summer and autumn, with an increasing trend in drought area. The areas affected by severe and extreme droughts are mainly concentrated in the western and central parts of YZRB. Overall, MDI provides a better scale for comprehensive drought assessment and monitoring, which can offer theoretical basis for drought warning and drought relief.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133898"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663502","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":"Advancing from historical precipitation reconstruction to real-time monitoring: Satellite-gauge fusion with near-real-time data gap-filling accounting for latency periods","authors":"Zhaode Yun ,&nbsp;Yintang Wang ,&nbsp;Pan Liu ,&nbsp;Lingjie Li ,&nbsp;Yong Liu ,&nbsp;Cheng Chen ,&nbsp;Rui Gao ,&nbsp;Zhixin Peng","doi":"10.1016/j.jhydrol.2025.133913","DOIUrl":"10.1016/j.jhydrol.2025.133913","url":null,"abstract":"<div><div>Satellite-gauge precipitation fusion is crucial for improving quantitative precipitation estimation. However, near-real-time satellite precipitation products (NSPPs) still exhibit several hours of latency due to observation and processing delays, resulting in a gap in reliable real-time precipitation patterns. This latency limits the applicability of fusion techniques for real-time monitoring and hinders potential improvements in accuracy. In this paper, we present a two-step precipitation fusion framework designed to produce high-accuracy real-time precipitation estimates. In the first step, we fill the precipitation patterns for GSMaP_NRT and IMERG_Early during latency periods using three deep learning methods (U-Net, Attention U-Net, and ConvLSTM), thus generating coarse real-time estimates. In the second step, the best-performing precipitation patterns from each NSPP are fused with gauge precipitation data using the spatial random forest (SRF) approach. The results indicate that: (1) U-Net achieves the highest gap-filling accuracy, with average median values of Binary Accuracy (BA) and KGE exceeding 0.66 and 0.35, respectively, demonstrating robust stability and spatiotemporal consistency across the latency periods. (2) Precipitation fusion significantly improves both BA and KGE by over 0.10 and 0.80, respectively, while also reducing RMSE in heavy rainfall regions to below 10 mm and enhancing rain/no-rain classification accuracy. (3) Precipitation fusion during latency (<em>t</em>-4-<em>t</em>-1) and preceding (<em>t</em>-8-<em>t</em>-5) periods demonstrates relatively high consistency in both classification and continuous accuracy, with BA exceeding 0.80 and the differences in KGE controlled within 0.14 across different latency periods. This framework effectively addresses the lack of latency periods information in NSPPs, offering reliable support for real-time precipitation monitoring.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133913"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622513","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":"Spatial multiple variables and single variable updating via hydrologic system differential response method in real-time flood forecasting","authors":"Xiaoqin Zhang ,&nbsp;Zhengyang Zhao ,&nbsp;Rui Qin ,&nbsp;Weimin Bao ,&nbsp;Simin Qu ,&nbsp;Peng Shi","doi":"10.1016/j.jhydrol.2025.133910","DOIUrl":"10.1016/j.jhydrol.2025.133910","url":null,"abstract":"<div><div>Error correction is crucial for reliable and accurate real-time flood forecasting. The simultaneous updating of multiple errors and selection of appropriate variables for updating remain challenging. This study respectively establishes spatial multiple variables and single variable updating using the Hydrologic System Differential Response (HSDR) method, which characterizes the relationship between model output errors and influencing variables. Three distinct HSDR-based approaches are proposed: a spatial multiple variables updating approach that simultaneously updates rainfall, evaporation and initial soil moisture (SDPEW) through the rainfall-riverflow system, and two spatial single variable updating approaches that respectively update spatial rainfall (SDP) through the rainfall-riverflow system and spatial runoff (SDR) through the runoff-riverflow system. These approaches are implemented to correct the predictions of the Xinanjiang model in two basins in China. The results demonstrate that (1) the SDPEW, SDP and SDR updating can improve flood forecasting and maintain stable performance with increasing lead time; (2) the SDR generally performs better than the SDP and SDPEW; (3) the SDPEW generally outperforms the SDP when sufficient observed data are available. These findings indicate that the HSDR exhibits varying efficiencies in utilizing outlet discharge information for different spatial variables updating; the selection of appropriate variables for updating should consider the primary error sources and hydrological model structure. This study expands the HSDR method for spatial multiple variables updating and provides guidance for variable selection in real-time flood forecasting correction.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133910"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622560","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":"Assessing the impact of groundwater seepage on hydrologic features and processes in a watershed modeling setting","authors":"Salam A. Abbas ,&nbsp;Ryan T. Bailey ,&nbsp;Jeffrey G. Arnold ,&nbsp;Michael J. White","doi":"10.1016/j.jhydrol.2025.133919","DOIUrl":"10.1016/j.jhydrol.2025.133919","url":null,"abstract":"<div><div>Groundwater seepage can be a major surface runoff mechanism in humid regions, characterized by shallow aquifers and soil profiles that become saturated during wet periods or intense storm events. This process often plays an important role in the creation and maintenance of groundwater-dependent ecosystems and the overall water yield of a watershed. In this paper, we examine the process of groundwater seepage and assess its influence on hydrologic features (wetlands) and temporal patterns of watershed water yield. We do this by applying a surface–subsurface hydrologic model (SWAT+ with the physically based spatially distributed <em>gwflow</em> module for groundwater storage and flow) to the Little River Watershed, Georgia, USA, which has a high baseflow fraction and contains numerous wetlands, and for which groundwater seepage has been noted in past studies. The model is calibrated and tested against measured streamflow and groundwater head for the period 2000–2015, with and without groundwater seepage included in the <em>gwflow</em> module. Model results indicate that including groundwater seepage improves hydrologic estimation, and demonstrate connections between precipitation, recharge, groundwater seepage, and streamflow before and during storm events. Finally, we compare locations of consistent groundwater seepage (simulated) with mapped wetlands, demonstrating that the model can be used to explore impacts of system changes (land use, climate, management) on wetland development and maintenance.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133919"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656071","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":"Pre-earthquake hydrogeochemical anomalies in spring waters: two distinctive cases from western Türkiye","authors":"Nurettin Yakupoğlu ,&nbsp;Asen Sabuncu ,&nbsp;Cemre Erbil ,&nbsp;Erdem Kırkan ,&nbsp;Hasan Çetin ,&nbsp;Sedat İnan","doi":"10.1016/j.jhydrol.2025.133920","DOIUrl":"10.1016/j.jhydrol.2025.133920","url":null,"abstract":"<div><div>In earthquake sciences, identifying reliable earthquake precursors remains a challenge, requiring systematic multi-disciplinary approach and monitoring. This study investigates hydrogeochemical anomalies preceding moderate-magnitude (<em>Mw 5</em>) earthquakes by analyzing natural spring waters. Five spring water sites have been investigated thus monitoring was conducted for the <em>Mw 5.0</em> Mudanya earthquake (December 4, 2023) in the Marmara region and the <em>Mw 5.0</em> Kuşadası earthquake (January 27, 2024) in the Aegean Extensional Province (AEP), focusing on electrical conductivity (IC) and ion concentrations (Cl⁻, SO₄²⁻, Na⁺, K⁺, Mg²⁺, Ca²⁺). Distinct EC and ion anomalies (lasting for at least 30 days) were observed at the Sap-01 and Naz-01 sites before the earthquakes, in Marmara region and AEP, respectively, suggesting a potential link to pre-seismic crustal deformation and possible mixing with thermal waters. In contrast, no significant anomalies were detected in samples collected from two springs in Marmara (İst-01, Brs-01), and AEP (Çine-01), likely due to their off-fault locations or placement on different tectonic blocks. These findings highlight the importance of geological knowledge in selecting sampling sites for geochemical monitoring. Results suggest that spring water anomalies could serve as potential earthquake precursors. Further multi-disciplinary studies integrating seismological, geodetic, and geochemical data, along with long-term, high-resolution continuous monitoring networks, are essential to better understand these pre-earthquake signals.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133920"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656650","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":"Field-based assessment of the influence of a combined SUDS system consisting of a permeable pavement and a stormwater tank on urban runoff quality","authors":"Ainhoa Lekuona-Orkaizagirre ,&nbsp;Maite Meaurio ,&nbsp;Eneko Madrazo-Uribeetxebarria ,&nbsp;Maddi Garmendia Antín ,&nbsp;Ainara Gredilla","doi":"10.1016/j.jhydrol.2025.133906","DOIUrl":"10.1016/j.jhydrol.2025.133906","url":null,"abstract":"<div><div>Sustainable Urban Drainage Systems (SUDS) are designed to protect the natural water cycle, to manage flood risk and to improve runoff quality. Permeable pavements (PP) are a type of SUDS that allow rainwater to infiltrate through the soil or convey it to stormwater tanks for storage before its controlled release and/or later use. To support climate change adaptation, a combined PP–stormwater tank system was implemented in Legazpi, a town in northern Spain. This study evaluates the impact of this system on urban runoff water quality. Water samples were collected during multiple rainfall events at three points: the inflow, the outflow from PPs, and the stormwater tank. Various physical and chemical parameters were analysed, including turbidity, total suspended solids (TSS), electrical conductivity, pH, dissolved oxygen, nutrients, 18 metals and metalloids, and 16 Polycyclic Aromatic Hydrocarbons. Results showed a significant decrease in water turbidity and TSS contents after passing through the PP: the inflow contained 2–20 times higher turbidity and 1.2–10 times higher TSS values. Concentrations of Fe, Mn, Ba and Cu are reduced by 46–72%. By contrast, the PP outflow revealed 1.2–2.5 times higher conductivity and there was a threefold increase in nitrate content. Naphthalene and the sum of 16 PAHs appeared to decrease, but further investigation is needed to demonstrate this statistically. As regards the stormwater tank, the study shows that there is no ecological risk for the aquatic ecosystem associated with the stored water.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133906"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622514","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":"Modelling the spatio-temporal differences in the contribution of multiple pollution loads to water quality in an urbanized bay catchment","authors":"Fangnan Xiao,&nbsp;Zhanqiang Jian,&nbsp;Huapeng Qin","doi":"10.1016/j.jhydrol.2025.133905","DOIUrl":"10.1016/j.jhydrol.2025.133905","url":null,"abstract":"<div><div>Water quality in urbanized bays is affected by multiple pollution loads, leading to complex spatio-temporal variability. In this case, the pollution load’s contribution rate to water quality (CR-WQ) typically deviates from the load’s proportion of the total load to the entire water body. However, few studies have quantified this difference and adopted it to guide catchment pollution control. This study takes Deep Bay in South China as a case study and uses the coupled Storm Water Management Model (SWMM) and Environmental Fluid Dynamics Code (EFDC) model to explore the spatio-temporal distribution of CR-WQ of different loads and its implications for water quality management. The results indicate that (1) the CR-WQ of runoff loads increases from 30 %–55 % to 46 %–60 % and then decreases to 5 %–9 % from the estuary to the bay mouth, while the CR-WQ of sewage treatment plant tailwater loads monotonically decreases from 39 %–69 % to 3 %–7 %; The loads from Shenzhen and Lingding Sea dominate the water quality in the inner and outer bays, respectively; (2) the CR-WQ of runoff loads in mid-bay is significantly higher in the wet season (37 %–62 %) than in the dry season (30 %–49 %); (3) the storm runoff can affect water quality in the estuary and mid-bay for up to 4–6 days and more than 10 days under rainfall events, respectively; (4) reducing sewage treatment plant loads is the most effective for lowering nitrogen in the estuary and phosphorus across the bay, while runoff reduction better lowers nitrogen in the mid-bay. Generally, reducing the loads with high CR-WQ but low proportion can be the prioritized measure for water quality improvement. Therefore, the methods and insights presented in this study can provide decision-making support for precise water quality management and pollution control in the urbanized bay catchment.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133905"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622518","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-level regulation may change the seasonal variation pattern of CO2 emissions in the Three Gorges reservoir area","authors":"Peng Chen ,&nbsp;Tao Zhang ,&nbsp;Xinlu Su ,&nbsp;Xinyu Kang ,&nbsp;Wenqing Feng ,&nbsp;Yaru Jiang ,&nbsp;Guozhi Peng ,&nbsp;Shengxin Peng ,&nbsp;Jianhong Li ,&nbsp;Yihao Wang ,&nbsp;Junbing Pu","doi":"10.1016/j.jhydrol.2025.133866","DOIUrl":"10.1016/j.jhydrol.2025.133866","url":null,"abstract":"<div><div>The construction of large hydropower stations imposes substantial environmental impacts on river basins, yet systematic investigations into the effects of operational water-level fluctuations on riverine CO₂ degassing remain limited. This study conducts a comprehensive comparative analysis of CO₂ emissions at the water–air interface between reservoir-regulated and natural river systems in Chongqing, China, focusing on regions influenced by Three Gorges Dam (TGD) operations. Results indicate that the average CO₂ emission flux (FCO₂) in the Three Gorges Reservoir (TGR) area (37.07 ± 28.51 mmol·m⁻²·d⁻¹) was significantly lower than that in natural river sections outside the reservoir (57.62 ± 45.13 mmol·m⁻²·d⁻¹). Within the reservoir area, FCO₂ during high-water-level periods (37.07 ± 28.51 mmol·m⁻²·d⁻¹) was markedly reduced compared to low-water-level periods (44.35 ± 47.20 mmol·m⁻²·d⁻¹). These spatiotemporal variations in FCO₂ are primarily driven by seasonal hydrology and operational water-level fluctuations. In the reservoir, FCO₂ dynamics during low-water periods (rainy season) were dominated by anthropogenic nutrient inputs and terrestrial CO₂ loading via rainfall-mediated soil leaching. Conversely, reduced hydrodynamic conditions during high-water periods enhanced the coupling of aquatic nutrient cycling, photosynthetic metabolism, and carbonate buffering, collectively suppressing CO₂ emissions. These findings demonstrate that periodic water-level regulation by the TGD fundamentally restructures biogeochemical processes, leading to significantly mitigated CO₂ emissions—particularly during high-water phases—relative to natural riverine environments. This study elucidates the mechanisms through which large-scale hydropower operations modulate carbon dynamics across river-reservoir continua.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133866"},"PeriodicalIF":5.9,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622516","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":"Comprehensive risk assessment of urban flood process based on dynamic weights and lumped impact parameters","authors":"Wanjie Xue ,&nbsp;Zening Wu ,&nbsp;Hongshi Xu ,&nbsp;Huiliang Wang ,&nbsp;Qiuhua Liang ,&nbsp;Chao Ma ,&nbsp;Yihong Zhou ,&nbsp;Shanlun Xu","doi":"10.1016/j.jhydrol.2025.133903","DOIUrl":"10.1016/j.jhydrol.2025.133903","url":null,"abstract":"<div><div>Urban flood risk assessment is critical for enhancing disaster mitigation strategies and resilient city planning. Traditional risk assessment often employs static weighting coefficients for hazard-bearing bodies (e.g., population, traffic, buildings), failing to capture the differential impacts of inundation depth variations on hazard-bearing bodies during the dynamic flood process. This study proposes a comprehensive risk assessment method for urban flood processes based on dynamic weights of hazard-bearing bodies and lumped impact parameters. The lumped impact parameter is adopted to describe the hazard posed by flooding to hazard-bearing bodies based on the physical mechanisms that integrate inundation depth and velocity. Subsequently, the relative damage functions for hazard-bearing bodies are taken from technical literature, and the hydraulic conditions (inundation depth and velocity) are categorized into seven categories by the damage characteristics of hazard-bearing bodies. The AHP method is employed to assign weights to hazard-bearing bodies within each category of hydraulic conditions. Finally, by integrating hazard-bearing body densities and their lumped impact parameters, the comprehensive risk (CR) of the flood process is evaluated using dynamic weights and the fuzzy matter element method (FM). Using the southern area of Jinshui district in Zhengzhou, China, as a case study, it is found that at 9:00 AM, the total area of high, medium, and low comprehensive risks in the study area peak at 27.18%. Comparisons with the static weight method indicate that the dynamic weight assessment approach is able to identify high-risk areas more accurately, with the assessment results being closer to real-world scenarios. The proposed method demonstrates the ability to accurately identify urban flood risk information, offering valuable insights for urban flood management and infrastructure development.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133903"},"PeriodicalIF":5.9,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622515","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}