Hydrological Processes最新文献

{"title":"A Framework for Analysing Multi-Timescales Evolution Patterns in Precipitation–Streamflow Relationship","authors":"Jiefeng Wu,&nbsp;Tiesheng Guan,&nbsp;Xuemei Li,&nbsp;Wenyue Liu,&nbsp;Liushan Tang,&nbsp;Zihan Yu,&nbsp;Guoqing Wang","doi":"10.1002/hyp.70029","DOIUrl":"https://doi.org/10.1002/hyp.70029","url":null,"abstract":"<div>\u0000 \u0000 <p>The precipitation–streamflow relationship (PSR) is one of the most crucial aspects of hydrological process studies. Previous studies have analysed the changes of the PSR at specific timescales (e.g., annual or seasonal), overlooking the characteristics of the PSR across multiple timescales and the changes that occur over time. This study presented an integrated framework to address these issues from three perspective: the inconsistencies, the response sensitivity of streamflow to precipitation and the PSR across multiple oscillation periods. This study analysed monthly streamflow and precipitation data from three representative reaches located in the upper and middle sections of the Yellow River Basin from 1961 to 2021. The results indicate that the proposed integrated framework effectively reveals the evolving patterns of the PSR. The evolution patterns of PSR vary across different time scales. Notably, the inconsistencies in PSR variations in the middle and upper reaches of the Yellow River are significant and manifest differently across various timescales. These differences were particularly pronounced in the middle reaches when comparing the periods before and after 2000. The changes in PSR varied among different oscillation periods, and an examination of the resonant period variability revealed a shift from strong-to-weak resonance within the 32–64-month period, followed by a weak-to-strong transition within the 128-month period. This study has significantly enhanced our understanding of the evolution of the PSR and has provided valuable insights for effectively managing hydrological processes in a changing environment.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the Hybrid Air2stream Model for Simulating Daily Stream Temperature During Extreme Summer Heat Wave and Autumn Drought Conditions","authors":"Lilianne Callahan,&nbsp;R. Dan Moore","doi":"10.1002/hyp.70033","DOIUrl":"https://doi.org/10.1002/hyp.70033","url":null,"abstract":"<div>\u0000 \u0000 <p>As climatic conditions change globally, so too will stream thermal regimes, with implications for water quality and habitat suitability for aquatic life. Stream temperature measurements are sparse in many regions, motivating the development of models that are able to extrapolate to past and future climatic conditions to support decision-making for aquatic resource management. This study assesses the performance of air2stream, a hybrid, at-a-site stream temperature model that was developed to simplify the data requirements of process-based models while maintaining their predictive performance. The air2stream model requires only time series of daily mean air temperature and stream discharge as input variables, and was calibrated for 23 streams in British Columbia, Canada, using data recorded at Water Survey of Canada gauging stations for the available periods of record up to 2020. Daily mean air temperature time series were interpolated to each monitoring site from the ERA-5 gridded surface data product. Air2stream was validated with data from the years 2021 and 2022, which included an extreme summer heat wave and autumn drought conditions that fall outside the range of conditions observed during the calibration period. The validation results were compared to those of a set of linear mixed-effects models with the same predictor variables, as well as a simplified version of air2stream that only uses air temperature as an input variable. The air2stream model produced higher errors during the extreme weather conditions compared to the calibration period, though its performance under extreme conditions overall remained superior to that of the statistical models and the simplified air2stream model. The results highlight the importance of representing hydrological and thermal processes and their seasonal variation in models for predicting stream temperature under changing climatic conditions.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Wetland Distribution in the Qinghai-Tibetan Plateau and Its Responses to Climate Change and Glacial Retreat","authors":"Tianzhu Peng,&nbsp;Weizhe Chen,&nbsp;Hao Long,&nbsp;Zhenru Ma,&nbsp;Rui Zhang","doi":"10.1002/hyp.70047","DOIUrl":"https://doi.org/10.1002/hyp.70047","url":null,"abstract":"<div>\u0000 \u0000 <p>The Qinghai-Tibetan Plateau (QTP) experienced noticeable warming and glacial retreat during the past decades. However, it is unclear how these changes affect QTP wetland distribution in the past and future. To this end, this study estimated the potential wetland distribution in the QTP under present and future climate scenarios using five machine learning methods. We further decoupled the sensitivity of wetland area to temperature, precipitation, and glacier changes based on the control experiment, and quantified the environmental niche of QTP wetland distribution. The RusBoost algorithm model has the best performance and shows that the current potential wetland area is about 1.6 × 10⁵ km², accounting for 6.22% of the land surface. By 2100, QTP wetlands are projected to increase by 9.6% and 77.3% relative to the current potential wetland area under the SSP1-2.6 and SSP5-8.5 scenarios, respectively. Climate warming and wetting are positively correlated with the future wetland areas. Each 1°C increase in the warmest season temperature can lead to a 9.0% increase in QTP wetland areas. Glacial retreat to some extent leads to wetland increase, for example, in the southeastern QTP, likely due to glacial meltwater recharge. However, wetlands will decrease due to longer glacial distances in the northeast QTP, because wetlands tend to grow within a suitable distance of 30 km to glaciers. As more current wetlands spread within the recharge range of glacier meltwater, QTP wetlands expect to increase in the near future. This research provides a valuable reference for predicting wetland changes in alpine regions in the context of global warming.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling Regional Water Balance Dynamics in Anthropogenically Shaped Lowlands: A Data-Driven Approach","authors":"Jenny Kröcher,&nbsp;Gohar Ghazaryan,&nbsp;Gunnar Lischeid","doi":"10.1002/hyp.70053","DOIUrl":"https://doi.org/10.1002/hyp.70053","url":null,"abstract":"<div>\u0000 \u0000 <p>Effective management of water resources in anthropogenically shaped lowlands requires a comprehensive understanding of hydrological processes and balancing various effects in complex settings, especially like lowland hydrology. Unlike mountainous headwater catchments with shallow soils, lowland hydrology is typically dominated by groundwater dynamics, often exhibiting pronounced spatial correlation lengths, though other factors may also contribute. This necessitates consideration of distant anthropogenic impacts in water resources management. This study focuses on the Lusatia region in the northern German, a lowland area heavily altered by mining activities, including extensive groundwater lowering and rebound, impacting the overall water regime. We applied an efficient, data-based approach to unravel various impacts on the landscape water balance over a 30-year period (1993–2022). We integrated over 1800 ground-based time series data on groundwater levels, surface water dynamics and runoff, supplemented by evapotranspiration estimates from multi-temporal Landsat satellite data to account for land use effects. Through principal component analysis, we identified key patterns driving water balance dynamics. The first four components explained 84% of the variance in groundwater and surface water levels, as well as of runoff dynamics. The dominant processes attributed to these components include anthropogenic influences from mining activities, as well as natural hydrogeological effects such as seasonal variability and the damping of the groundwater recharge signal in the unsaturated zone. A separate principal component analysis that included evapotranspiration data explained 87% of the variance, with the first component predominantly reflecting seasonal variations and subsequent components elucidating land use impacts and long-term vegetation changes. By linking both analyses, we generated comprehensive maps detailing the spatial distribution of effects on regional water balance. Our approach provides a quantitative tool to assess the size and influence of natural and anthropogenic effects on water resources, offering a comprehensive tool for assessing spatial and temporal effects on hydrological dynamics in a lowland region affected by human activities.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Exploring Summer Precipitation Stable Isotopes in the Monsoon Border Zone: Environmental Drivers and Moisture Source Tracing","authors":"Xin Guo,&nbsp;Wenbao Li,&nbsp;Xiaohong Shi,&nbsp;Yujiao Shi,&nbsp;Lauri Arvola","doi":"10.1002/hyp.70044","DOIUrl":"https://doi.org/10.1002/hyp.70044","url":null,"abstract":"<div>\u0000 \u0000 <p>Precipitation processes in the monsoon border zone (MBZ) of China remain unclear because of the complex hydro-climatic interactions. This study analyzes the temporal variation of δ²H and δ¹⁸O in precipitation and its influencing factors based on samples of precipitation events in Lake Dali during summer from 2018 to 2020. The results showed significant monthly isotopic variability, characterised by lower δ²H and δ¹⁸O values in July with averages of −103.62‰ and −14.87‰, respectively. This clear isotopic variability is largely related to the East Asian summer monsoon (EASM) activity during the prevailing summer monsoon season and hydrometeorological processes. The isotopic composition of precipitation is mainly determined by the amount of precipitation and relative humidity, but not related to temperature. The results of backward trajectory modelling show that precipitation primarily originates from northern China, inland Xinjiang, and the western Pacific with different monthly contributions. The increase in δ²H and δ¹⁸O isotopes from June to August indicates sub-cloud evaporation. The mean sub-cloud evaporation rate was 3.5% during the summer. Sub-cloud evaporation is associated with relative humidity and precipitation. Recycled moisture accounts for 12% of local precipitation and 2.5%–31.6% of total monthly precipitation. After considering the contribution of evaporation, the estimated average recycling ratio increased from 12% to 24%, suggesting the important role of evaporation processes in lakes in the formation of precipitation.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unleashing the Untapped Potential: Groundwater Exploration in a Watershed Environment of North-East India Using MCDA-AHP Techniques","authors":"Debashree Borah,&nbsp;Ashok Kumar Bora","doi":"10.1002/hyp.70040","DOIUrl":"https://doi.org/10.1002/hyp.70040","url":null,"abstract":"<div>\u0000 \u0000 <p>The contemporary era is marked by the faster exploitation of groundwater resources due to the combined effects of burgeoning population and rapid industrialisation. This study tries to delineate the groundwater potential zones (GWPZs) in a fragile and agriculturally dominant watershed of North-East India using the GIS-based multi-criteria decision analysis (MCDA) approach and the Analytical Hierarchy Process (AHP) technique. The study has undertaken 10 influencing factors: geomorphology, geology, land use/land cover (LU/LC), drainage density, rainfall, soil texture, slope, lineament density, topographic wetness index (TWI) and normalised difference water index (NDWI). Suitable weights for the parameters are assigned according to their relative importance and association with groundwater storage based on a pairwise comparison matrix (PCM). Four GWPZs with their respective coverages namely poor (3.39%), moderate (24.98%), good (33.36%) and excellent (38.27%) categories are found. The central and southern parts of the study area covering a portion of Udalguri, Sonitpur and Darrang districts of Assam have porous geological settings and floodplains, indicating high groundwater potentiality. In contrast, the northern part with hard and rugged terrain lacks groundwater storage. Incorporating the socio-economic aspect, particularly the number of villages with or without access to suitable groundwater, significantly enhances the study's utility. The outcome is cross-verified with the well data obtained from the Central Groundwater Board (CGWB) and field data which is validated using the receiver operating characteristics (ROC) curve resulting in an accuracy of 72.9%. Hence, this inquiry has implications for both regional and global significance and will assist stakeholders and authorities in creating a roadmap for sustainable and effective water use.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Delineating Sources of Groundwater Recharge in an Arsenic-Affected Aquifer in Jianghan Plain Using Stable Isotopes","authors":"Yixing Lan,&nbsp;Ying He,&nbsp;Qian Yu,&nbsp;Qilong Song","doi":"10.1002/hyp.70050","DOIUrl":"https://doi.org/10.1002/hyp.70050","url":null,"abstract":"<div>\u0000 \u0000 <p>Consumption of arsenic (As)-contaminated groundwater adversely impacts the health of almost 20 million people in China. Determining the sources of As-affected groundwaters may help to improve our understanding of the controlling processes on As mobilization in groundwater systems. In this study, stable hydrogen and oxygen isotopes of water (δ¹⁸O and δD) were employed to delineate the groundwater recharge sources and the interactions between river/pond and groundwater in Shahu village, a typical high-As groundwater area in Jianghan Plain, central China. Utilizing a two-component mixing model based on δ¹⁸O and δD, we successfully calculated the river water contribution to groundwater including its uncertainty analysis and roughly distinguished the different water bodies within the aquifer system. Cl/Br was used to further identify the recharge contributions for shallow (10 m below the ground surface, low As concentrations), intermediate (25 m below the ground surface, high-As concentrations) and deep (50 m below the ground surface, high-As concentrations) groundwaters. The hydrogen and oxygen stable isotope signatures of high As and high total organic carbon (TOC) groundwaters (intermediate and deep aquifer) generally plotted near the local meteoric water line (LMWL). However, the δ¹⁸O and δD signatures of low As and low TOC groundwaters (shallow aquifer) tended to shift away from the LMWL along evaporation lines. These relationships revealed that the low As groundwater principally derived from surface water (river and pond), while the high-As groundwater mainly recharged from local precipitation through preferential channel as well as the bedrock and/or adjacent aquifer. Our results will enhance the comprehension of the genesis of high-As groundwater in Jianghan Plain.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the Calculation of River Vertical Infiltration Based on Formula Simulation and Machine Learning","authors":"Jie Yang,&nbsp;Wanzi Li,&nbsp;Rui Zuo,&nbsp;Jinsheng Wang,&nbsp;Yunlong Wang,&nbsp;Yulong Yan","doi":"10.1002/hyp.70011","DOIUrl":"https://doi.org/10.1002/hyp.70011","url":null,"abstract":"<div>\u0000 \u0000 <p>River infiltration is important to groundwater recharge. The vertical infiltration volume of rivers is an important index for studying the mutual recharge of surface water and groundwater. In this study, the factors influencing the vertical infiltration of heterogeneous sediments were identified, and a vertical infiltration model of heterogeneous sediments was constructed via mathematical functions and machine learning. This study also applied a calculation method to the calculation of tributaries in the upper reaches of the Wenyu River. The effective grain size <i>d</i>₁₀ and the inhomogeneity coefficient <i>C</i>_u are the main controlling factors of the infiltration coefficient, and a genetic algorithm was introduced to fit a functional formula for the vertical infiltration volume based on the main controlling factors. It was found that the gradient boosting decision tree (GDBT) vertical infiltration model with the Lad function as the loss function was more effective than the back propagation neural network (BP) vertical infiltration model created with the Adam optimiser and ReLU activation function. The results of this study provide technical support for the quantitative calculation of natural sediment infiltration coefficients and principal support for the formulation of relevant standards for river ecological safety and management, which are of great theoretical significance and far-reaching application value.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"38 12","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrological Modelling Using Gridded and Ground-Based Precipitation Datasets in Data-Scarce Mountainous Regions","authors":"Rajesh Khatakho,&nbsp;Aaron Firoz,&nbsp;Nadir Ahmed Elagib,&nbsp;Manfred Fink","doi":"10.1002/hyp.70024","DOIUrl":"https://doi.org/10.1002/hyp.70024","url":null,"abstract":"<p>Satellite- and gridded ground-based precipitation data are crucial for understanding hydrological processes. However, the performance of these products needs rigorous evaluation before their integration into hydrological models. This study evaluates two types of precipitation products based on their hydrological simulation performance. The evaluation focuses on ground-based precipitation datasets (GA and Aphrodite) and satellite-based precipitation products (SPPs). The GA dataset combines rain gauge measurements with the Asian Precipitation—Highly-Resolved Observational Data Integration Towards Evaluation (Aphrodite) dataset to fill gaps in areas with insufficient rain gauge coverage. It is also used for model calibration under Method I. In Method II, models are calibrated with Tropical Rainfall Measuring Mission (TRMM), Climate Hazards Group Infrared Precipitation (CHIRPS), Multi-Source Weighted-Ensemble Precipitation (MSWEP) and Aphrodite product without the station data. The study considers the Koshi River Basin located in the eastern Himalayas encompassing Nepal and China's Tibetan region. The basin supports downstream ecosystems and domestic, hydro-power and irrigation development. Based on ranking of seven performance metrics, CHIRPS emerged as the best performing SPP whereas MSWEP ranked the lowest. When the five precipitation datasets were evaluated, GA performed the best, followed by CHIRPS, TRMM, MSWEP and Aphrodite respectively. In Method I, TRMM achieved the highest Nash−Sutcliffe Efficiency (NSE) value of 0.68, and MSWEP showed poor performance with an NSE value of −0.20. In Method II, CHIRPS showed the strongest performance with an NSE values of 0.82, whereas MSWEP performed slightly lower but still achieved an NSE value of 0.74. Seasonal analysis provided further valuable insights into selecting and blending precipitation datasets by identifying time series that performed best in specific seasons. These findings, alongside model uncertainty analyses, emphasise the influence of precipitation biases and underscore the value of integrating ground-based and satellite data. Ultimately, this study contributes to advancing water resource planning and management strategies in the Koshi River Basin and similar mountainous regions.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"38 12","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Impacts of Urbanization on the Riverine Flooding in Major Cities Across the Eastern United States","authors":"Renato Amorim,&nbsp;Gabriele Villarini","doi":"10.1002/hyp.70027","DOIUrl":"https://doi.org/10.1002/hyp.70027","url":null,"abstract":"<p>The increase in the societal and economic impacts of flooding across the eastern United States has brought attention to the potential link between long-term increases in urban areas and changes in the watersheds' flood response. One outstanding challenge is to isolate the effects of land cover changes from other flood-related factors. To advance our understanding of these processes and their nexus, we utilise a statistical framework in which we use different parameterizations of the Generalised Pareto distribution (GPD) to model sub-daily peak-over-threshold (POT) events at 102 stream gauges in the following metropolitan areas across the eastern United States: Boston, New York, Philadelphia, Baltimore, Charlotte, Atlanta, Houston, and Tampa. While we keep the shape parameter constant, we allow the scale parameter to: (1) be constant; (2) depend on hourly accumulated rainfall; or (3) be dependent on a combination of hourly accumulated rainfall and the temporal changes in the percentage of the watershed's developed land. Based on our modelling results, we select the model with the land change as a predictor in only 3% of the watersheds. Moreover, the model configuration in which rainfall is the only predictor is selected the most frequently (~80% of the sites) across the eight metropolitan regions. Therefore, our findings indicate that rainfall is the key flood driver in urban basins across the eastern United States considered in this study, without clear evidence linking long-term changes of impervious area (i.e., urbanisation) and the watersheds' flood response.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"38 12","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}