Journal of Hydrology最新文献

{"title":"Hydrodynamic characteristics in pools with leafless vegetation under ice-covered flow conditions − an experimental study and numerical simulation","authors":"Guowei Li,&nbsp;Jueyi Sui,&nbsp;Sanaz Sediqi","doi":"10.1016/j.jhydrol.2025.133135","DOIUrl":"10.1016/j.jhydrol.2025.133135","url":null,"abstract":"<div><div>This study investigates the impact of submerged rigid leafless vegetation on the hydrodynamic characteristics in pools and explores the turbulent kinetic energy profile of flow under ice-covered flow conditions. To investigate the effects of leafless vegetation on flow velocity, turbulent kinetic energy, and secondary flow variations, laboratory experiments have been conducted in a large-scale outdoor flume considering different water surface cover conditions, submergence heights of vegetation, pool features, and hydraulic conditions. The Re-Normalization Group (RNG) k-ε turbulence model, implemented in Flow-3D (CFD) software, has been used to simulate fluid dynamics in the channel with pools. The results indicate that vegetation transforms the vertical distribution of main flow velocity within the vegetated zone from a logarithmic shape to a quasi-S shape. Compared to the non-vegetated conditions, vegetation in the pool bed induces notable disturbances in lateral velocity, fostering the formation of secondary currents across the pool cross-sections. The velocity decreases within the vegetated zone in the pool. Still, it increases as the height of vegetation rises, suggesting that vegetation significantly obstructs flow in the pool and creates a slow flow zone, potentially enhancing habitat suitability for aquatic organisms near the pool bottom. Turbulent kinetic energy exhibits significant changes near the vegetation tops, with the maximum values observed at the vegetation-water interface under open channel flow conditions forming a mirrored “C” shape, indicating substantial energy exchange at this boundary. In the presence of an ice cover on the water surface, the turbulent kinetic energy demonstrates a sharp increase near the surface. As inflow increases, the turbulent kinetic energy along the water depth in the pool increases. This study demonstrates that Flow-3D software effectively simulates the impact of leafless vegetation on the hydrodynamic characteristics of channels with pools, providing valuable insights for flood control, riverbank restoration, and ecological protection efforts.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133135"},"PeriodicalIF":5.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meso-Structural evolution and erosion mechanisms of soil-structure interface explored via In-Situ CT scanning","authors":"Zihan Zhang ,&nbsp;Changdong Li ,&nbsp;Yang Ye","doi":"10.1016/j.jhydrol.2025.133128","DOIUrl":"10.1016/j.jhydrol.2025.133128","url":null,"abstract":"<div><div>Compared with the surrounding soil matrix, the soil-structure interface (SSI) serves as a preferential seepage pathway, exhibiting heightened erosion characteristics. Despite its importance, the mechanisms underlying seepage and the <em>meso</em>-structural changes during SSI erosion are inadequately understood. In this study, a miniature triaxial permeameter is integrated with in-situ computed tomography (CT) scanning to investigate the erosion mechanisms and critical hydraulic criterion across various confining pressures, fine-grain contents, and interface roughnesses. We analyse <em>meso</em>-structural evolution through pore geometric, morphological, and topological parameters, providing direct visualization and quantification of particle erosion and clogging. Our findings reveal three distinct erosion patterns influenced by the confining pressure and fine-grain content. Notably, increases in hydraulic conductivity correlate with increased pore size, fractal dimension, and coordination number, alongside reductions in the sphericity index and aspect ratio of pore throats. This study provides mesoscopic structural evidence, obtained through in-situ CT scanning, that demonstrates that temporary clogging significant contributes to fluctuations in hydraulic conductivity. Furthermore, we propose a progressive four-stage mechanistic model with governing equations for SSI seepage erosion failure, including particle detachment, fluidized particle transport, localized temporary clogging, and dominant seepage channel formation until failure.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133128"},"PeriodicalIF":5.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724127","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":"An agent-based modeling of rescue operations for the evaluation of short-range flash flood forecasts","authors":"Maryse Charpentier-Noyer ,&nbsp;Olivier Payrastre ,&nbsp;Eric Gaume ,&nbsp;Pierre Nicolle ,&nbsp;François Bouttier ,&nbsp;Axelle Fleury ,&nbsp;Hugo Marchal","doi":"10.1016/j.jhydrol.2025.133048","DOIUrl":"10.1016/j.jhydrol.2025.133048","url":null,"abstract":"<div><div>This paper presents the application of an agent based model to evaluate how short-range flood forecasts may improve the emergency management of a severe flash-flood event. The considered flood hit several inhabited areas in the Aude River basin, south-eastern France, in October 2018. Particularly, the capacity to trigger timely rescue operations at the right places is evaluated and compared, depending on the input information used in the emergency decision process: from rainfall observations up to flash flood impacts forecasts at the river reach scale. To achieve this evaluation, the field operations of firemen rescue teams are simulated in an agent-based model, which provides a detailed description of the complexity of the emergency situation: location and timing of flood damages, limited number of rescue teams, traveling times, decisions taken under uncertainty about the future evolution of the event. The flash flood impacts forecasts involved in the decisions are obtained using (i) three different short range (0-6h) quantitative precipitation forecast (QPF) products or a naive zero future rainfall scenario, (ii) a distributed hydrological model and (iii) a simple impacts model evaluating the number of flooded buildings. The presented results confirm that the efficiency of the rescue operations is generally improved when using QPFs as input of the decision chain, due to the increased anticipation. But they also illustrate how this added value can be highly altered by the combined effects of forecast uncertainties (false alarms) and limited available rescue means. In a fictive situation where rescue means are extremely limited, using a zero future rainfall scenario proves to be almost as efficient as using QPFs.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133048"},"PeriodicalIF":5.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The transportation and driven mechanisms of per- and polyfluoroalkyl substances (PFAS) in various saline vadose environments","authors":"Yue Lan ,&nbsp;Xingchun Jiao ,&nbsp;Huifeng Yang ,&nbsp;Bo Song ,&nbsp;Litang Hu ,&nbsp;Li Wang ,&nbsp;Yuhan Gao","doi":"10.1016/j.jhydrol.2025.133131","DOIUrl":"10.1016/j.jhydrol.2025.133131","url":null,"abstract":"<div><div>The ubiquitous presence of per- and polyfluoroalkyl substances (PFAS) is causing significant concern due to their hazardous and long-lasting properties. Large amounts of PFAS have been preserved in the vadose zone after years of accumulation from both direct and indirect sources, possibly posing a threat to the groundwater. Extreme weather events, such as heavy rainfall and severe drought, have become more often in recent years as a result of global climate change, causing fluctuations in the groundwater table and changes in soil structure and function. A primary outcome is soil salinization, which is associated with substantial uncertainty regarding the transport and fate of PFAS. Salinization leads to soil compaction, reduced porosity, diminished aeration, and impaired permeability, hence increasing solid-phase PFAS adsorption. Salt ions can enhance the hydrophobic effect of PFAS by affecting electrostatic interactions, bridge bonding, and competitive adsorption between PFAS and the medium surface. Furthermore, as the concentration of salt ions increases, the adsorption of PFAS at the air–water interface strengthens. The paper investigates PFAS deposition, transport, and driving mechanisms in several natural salty habitats, such as coastal zones, saline agricultural land, and salt lake regions. A summary of numerical models suitable for describing PFAS behavior under normal salinity settings is provided. The current research gaps and prospective research dimensions are examined. This review improves our understanding of PFAS behavioral characteristics in natural saline environments. It would provide both theoretical and practical recommendations for reducing PFAS pollution in saline soil and groundwater environments.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133131"},"PeriodicalIF":5.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739047","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":"Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis","authors":"Li Tang,&nbsp;Guoqing Liu,&nbsp;Xiaohui Sun,&nbsp;Ping Liu","doi":"10.1016/j.jhydrol.2025.133173","DOIUrl":"10.1016/j.jhydrol.2025.133173","url":null,"abstract":"<div><div>Accurate reservoir operation modeling is essential for hydrological simulations and climate impact assessments. This study evaluated three storage-based reservoir operation models across 289 global reservoirs using observed inflow, outflow, and storage data. Under default parameterizations, model performance varied, with median Nash-Sutcliffe Efficiency (NSE) values for outflow ranging from 0.30 to 0.38. A model incorporating target storage constraints consistently outperformed the others across most reservoir types and sizes. A Sobol-based sensitivity analysis, using the bounded NSE index (C2M) on outflows, identified distinct parameter influences. Two models exhibited balanced sensitivity to multiple parameters, whereas the third was primarily influenced by a single parameter related to peak flow management. Parameter optimization significantly improved outflow simulations, with median C2M increases of 29 %, 26 %, and 25 % across the three models. These improvements were particularly pronounced in regions with poor default performance, such as the eastern USA. Statistical analyses underscored the importance of calibration, as optimized models achieved C2M values above 0.6 for over 60 % of reservoirs. This study systematically evaluated the performance of storage-based reservoir operation models, parameter sensitivities, and the potential for improving reservoir representation in hydrological models. Enhanced reservoir simulations support the calibration and refinement of large-scale river models by identifying key parameters for reservoir modules.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133173"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682777","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":"Source identification of dissolved inorganic phosphorus in a typical P-contaminated river: New constraints from multiple isotopes (inorganic C, Sr, Ca)","authors":"Zhanyao Shi ,&nbsp;Yao Du ,&nbsp;Hongni Liu ,&nbsp;Xianjun Xie","doi":"10.1016/j.jhydrol.2025.133138","DOIUrl":"10.1016/j.jhydrol.2025.133138","url":null,"abstract":"<div><div>The sources of dissolved inorganic phosphorus (DIP) in rivers are complex and diverse due to the continuously changing environment, presenting a significant hurdle in precisely identifying the sources within river systems. This study jointly used multiple isotopes (inorganic C, Sr, Ca) for the first time to determine the sources and detailed transformation of DIP in a typical P-contaminated river in the central Yangtze. The results of this work showed that the aqueous chemistry of the river in the phosphorite area was mainly affected by the weathering of dolomite by carbonic acid and sulfuric acid, as well as the weathering of silicate minerals by sulfuric acid. Within the anthropogenic area, the river water chemistry was mainly shaped by the weathering of limestone and dolomite by carbonic acid, along with silicate minerals weathering induced by carbonic acid. The changes in ⁸⁷Sr/⁸⁶Sr indicated that the DIP content in river water mainly came from the weathering of phosphate-containing dolomite and the discharge of domestic sewage in the phosphorite area. More negative <em>δ</em>¹³C_DIC values were accompanied by higher concentrations of ions related to human activities and DIP, indicating that the DIP content in river water primarily originated from agricultural cultivation and domestic sewage discharge in the anthropogenic area. Additionally, the secondary mineral precipitation fractionated Ca isotopes in the phosphorite area, adsorbing DIP in the river, and resulting in reduced DIP concentrations. Moreover, the decrease in <em>δ</em>¹³C_DIC values was accompanied by an increase in HCO₃⁻ and DIP concentrations, indicating that the degradation of organic phosphorus within the river bodies in the anthropogenic area contributed to an increase in DIP concentration to a specific extent. This study’s findings offer a new methodology and perspective regarding the sources of DIP in river ecosystems.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133138"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683130","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":"Within-reach temperature heterogeneity is limited in a southern Appalachian stream network, southeastern USA","authors":"Matthew J. Troia ,&nbsp;Anna L. Kaz ,&nbsp;Xingli Giam","doi":"10.1016/j.jhydrol.2025.133127","DOIUrl":"10.1016/j.jhydrol.2025.133127","url":null,"abstract":"<div><div>Stream temperature monitoring networks, combined with geospatial data and statistical modeling, facilitate temperature mapping at the spatial resolution of inter-confluence stream reaches and at continental spatial extents. Comparatively few monitoring efforts quantify spatiotemporal temperature heterogeneity within inter-confluence stream reaches. We measured within-reach temperature heterogeneity for six study reaches in a southern Appalachian stream network, southeastern USA. Within each reach, we logged temperature at 27 monitoring points every 15 min for three days during early summer and three days during late summer of 2018. Analysis of variance indicated that daily minimum, mean, and maximum water temperature metrics vary more among reaches than within reaches. For example, the difference in daily mean temperature from the warmest to coldest reach was 8.7 °C, whereas within-reach variation never exceeded 2.3 °C for any of the three daily temperature metrics. Mixed effects models indicated that most variation in the three daily water temperature metrics can be explained by reach-resolution covariates including elevation, watershed area, and forest cover. The limited within-reach temperature heterogeneity was driven by longitudinal position along the reach but surprisingly not by riparian canopy gaps, vertical stratification, or other factors. Our findings verify temperature mapping at the resolution of inter-confluence reaches effectively captures temperature gradients and indicate that thermally-sensitive organisms have limited access to fine-scale refuge in southern Appalachian streams. Generally, within-reach temperature heterogeneity should be quantified in more geographic and physiographic contexts to understand natural and anthropogenic drivers of this variation, validate reach-resolution temperature mapping, and forecast climate change refuges.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133127"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696906","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":"Intelligent remote sensing canal system detection and irrigation water use estimation: A case study in the transboundary Mekong River Basin","authors":"Hongling Zhao ,&nbsp;Fuqiang Tian ,&nbsp;Keer Zhang ,&nbsp;Khosro Morovati ,&nbsp;Jingrui Sun","doi":"10.1016/j.jhydrol.2025.133110","DOIUrl":"10.1016/j.jhydrol.2025.133110","url":null,"abstract":"<div><div>Human activities significantly impact global water resource availability through alterations in terrestrial water cycle processes, with agricultural irrigation being a primary driver. Accurately quantifying irrigation water use is essential for understanding regional water resource dynamics, optimizing water resource allocation, and improving agricultural productivity. However, high-quality data on irrigation canal networks is often lacking at regional scales, hindering the precise delineation of river sources for irrigation. To address this, this study developed a large-scale canal system detection method using artificial intelligence (AI) techniques and large-scale satellite remote sensing images. The method enabled the identification of canal networks, clarified the irrigation intake points, and facilitated the calculation of irrigation water volumes supplied by various mainstream and tributaries in the basin. The Mekong River Basin, where riparian states heavily rely on tributaries for irrigation and face difficulties in acquiring canal data, is selected as the study area. The results show that the developed Convolutional Neural Network (CNN)-based method successfully detected 291 irrigation canals sourced from mainstream and tributaries of the Mekong River, with 43% of the main canals drawing directly from the mainstream and the remainder from tributaries. Spatial analysis reveals a higher canal density in the south compared to the north of the basin. Additionally, irrigation water use is markedly higher during the dry season from November to the following April, accounting for 69% of annual irrigation consumption, peaking in January and reaching a minimum in September. This research has the potential to address critical data gaps in irrigation in the Mekong River Basin, enhance the understanding of agricultural irrigation water use, and provide essential insights for effective water resource management and sustainable agricultural development.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133110"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143677806","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":"Experimental study on the mechanism and countermeasures of recharge plugging induced by soil particle migration","authors":"Shilong Zhou ,&nbsp;Xuesong Cheng ,&nbsp;Qinghan Li ,&nbsp;Gang Zheng ,&nbsp;Xinwang Zhang ,&nbsp;Yongsheng Ma ,&nbsp;Bing Li","doi":"10.1016/j.jhydrol.2025.133115","DOIUrl":"10.1016/j.jhydrol.2025.133115","url":null,"abstract":"<div><div>Groundwater recharge is often performed to alleviate the environmental impacts induced by dewatering in excavation engineering. However, the application and widespread adoption of this method are hindered by plugging issue in recharge wells (RWs). The current studies on plugging have focused on the influence of impurities in recharge water, and studies on the effects of soil particle migration caused by seepage are lacking. On the bases of a self-designed model box, the mechanism of recharge plugging caused by particle migration in the process of recharge and mitigation measures were studied. The flow rate decreases with the recharge duration, and it presents a distribution pattern that an area with increased hydraulic conductivity near the RW and an area with decreased hydraulic conductivity far from the RW will occur in recharge process. The greater the recharge water pressure is, the greater the range of areas where the hydraulic conductivity decreases (approximately 2 m–2.2 m away from the RW) and the decreased ratio of hydraulic conductivity after stabilization (from 22 % to 31.5 %). The results of the analysis of the particle size distribution further indicate that seepage can cause the soil particles near the RW to migrate, leading to the accumulation of fine particles at positions away from the RW and eventually contributing to plugging. The soil particles in the model box can be quickly induced to migrate in the opposite direction by reverse recharge in the RW, which reduces the degree of plugging, providing a reference for alleviating RW plugging in engineering practice.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133115"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143677804","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":"Climate change impacts on flood hazards and surface-subsurface water interactions in the Lancang Mekong River Basin","authors":"Salik Bhusal ,&nbsp;Sangam Shrestha ,&nbsp;Tilasmi Aryal","doi":"10.1016/j.jhydrol.2025.133082","DOIUrl":"10.1016/j.jhydrol.2025.133082","url":null,"abstract":"<div><div>The Lancang Mekong River Basin is not only a vital water resource system supporting the livelihoods of millions of people, but it is also one of the most diverse ecosystems in the world, supporting a wide range of flora and fauna. The hydrological regime of the river is expected to undergo significant alterations due to climate change, leading to potential water availability alteration and flood hazards in the region. In this context, this study investigates the basin response to these shifts, particularly focusing on Cambodian Mekong floodplain of Lancang Mekong River Basin. By scrutinizing the surface–subsurface interactions, the research aims to comprehensively understand the dynamics of water flow in the region in the face of climate change. Multi-modelling approach with development of Soil and Water Assessment Tool (SWAT) hydrological model, MIKE FLOOD hydrodynamic model and GMS-MODFLOW groundwater model were used for projecting the flood hazard and quantifying the surface–subsurface interactions in Cambodian Mekong floodplain.</div><div>The results indicated that the hydrological regime of the basin is expected to undergo significant changes in the future, with an overall increase in average annual streamflow by 14.58 % to 17.27 % and groundwater recharge by 7.53 % to 12.99 % under SSP 2–4.5 and SSP 5–8.5 scenarios respectively while exhibiting spatial variability in magnitude of change. The increased streamflow will exacerbate flood hazard in the floodplain in the coming future due to climate change. Likewise, the Mekong River during flooding season is one of the major sources of recharge to the floodplain groundwater aquifer and receives water from the groundwater during dry season. This contribution to floodplain groundwater aquifer recharge during the flooding season is projected to increase in the near future.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133082"},"PeriodicalIF":5.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739050","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}