Journal of Hydrology-Regional Studies最新文献_第8页

Inference of hydrological modelling and field-based monitoring on dynamics of heavy metals in water of Hindon Basin Hindon盆地水中重金属动态水文模型推断与野外监测

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-03 DOI: 10.1016/j.ejrh.2025.102488

Prabhat Dwivedi, Brijesh Kumar Yadav

{"title":"Inference of hydrological modelling and field-based monitoring on dynamics of heavy metals in water of Hindon Basin","authors":"Prabhat Dwivedi, Brijesh Kumar Yadav","doi":"10.1016/j.ejrh.2025.102488","DOIUrl":"10.1016/j.ejrh.2025.102488","url":null,"abstract":"<div><h3>Study region</h3><div>The Hindon basin, crucial for agriculture, faces pollution from industry and farming, affecting the water quality and ecosystems.</div></div><div><h3>Study focus</h3><div>This research unravels heavy metal dynamics in uncertain pathways, varying hydrological conditions, and data-restricted basins by integrating a hydrological model with heavy metal mass budgeting. Initially, spatiotemporal meteorological data and landscape properties were utilized to develop a monthly-scale hydrological model for 12 years (2010–2022). Subsequently, heavy metal concentrations were measured in 2023 from rivers, canals, and wastewater drains across the basin. The river flows predicted by the hydrological model were then used to estimate seasonal heavy metal loads based on observed concentrations.</div></div><div><h3>New hydrological insights</h3><div>The hydrological activity in the region displayed drier conditions from 2010 to 2023, with declining post-monsoon water balance components in the lower and middle regions. However, in 2023, enhanced monsoon rainfall reversed this trend, improving surface water availability, increasing flow rates, and altering heavy metal dynamics during the post-monsoon season. This shift underscores the role of hydrological uncertainty in heavy metal loads across all surface water bodies. River water contributed the largest share of heavy metal loads (52 %) in both seasons, followed by wastewater (26 %) and canal water (22 %). These findings emphasize the influence of changing hydrological conditions on heavy metal contributions from surface water sources, reducing reliance on direct flow measurements in challenging field environments.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102488"},"PeriodicalIF":4.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196055","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

What is our pick? Assessment of satellite and reanalysis precipitation datasets over Italy 我们的选择是什么？意大利上空卫星和再分析降水数据集的评估

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-03 DOI: 10.1016/j.ejrh.2025.102487

Benedetta Moccia , Luca Buonora , Claudia Bertini , Elena Ridolfi , Fabio Russo , Francesco Napolitano

{"title":"What is our pick? Assessment of satellite and reanalysis precipitation datasets over Italy","authors":"Benedetta Moccia , Luca Buonora , Claudia Bertini , Elena Ridolfi , Fabio Russo , Francesco Napolitano","doi":"10.1016/j.ejrh.2025.102487","DOIUrl":"10.1016/j.ejrh.2025.102487","url":null,"abstract":"<div><h3>Study Region</h3><div>Italy.</div></div><div><h3>Study Focus</h3><div>Gridded precipitation datasets, satellite and reanalysis based, offer the potential to provide precipitation estimates with quasi-global coverage, extending to areas not accessible by ground-based instruments. Even though their quality has improved over time, their performances vary across the globe, since their accuracy is related to the orography and climate of the area under analysis. This variability together with the increasing availability of freely accessible gridded datasets often lead scholars and hydrologists to assess the suitability of precipitation products for specific analyses. In this paper, we address this issue by evaluating the performance of six widely used gridded precipitation products (CERRA-Land, ERA5-Land, CHIRPS, CMORPH, IMERG, PERSIANN-CCS-CDR) over Italy. We benchmark them against the national rain gauge network dataset (SCIA) by computing continuous and categorical performance metrics across different temporal scales (daily, monthly, yearly). Our findings are presented at various spatial scales <span><math><mo>−</mo></math></span> from watershed to Köppen-Geiger climate zones <span><math><mo>−</mo></math></span> to support future hydrological studies with diverse objectives.</div></div><div><h3>New Hydrological insights for the Region</h3><div>The two reanalysis datasets (i.e., ERA5-Land and CERRA-Land) are the best performing across Italy, closely followed by IMERG satellite-based product. CMORPH and PERSIANN-CCS-CDR resulted the least performing. Although all the gridded datasets considered showed to have difficulties in detecting precipitation over mountainous areas, they proved to be a valuable alternative to conventional rain gauge networks, especially at longer temporal scales.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102487"},"PeriodicalIF":4.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A framework for establishing a distributed, daily-time-step water resources model based on a pre-existing spatially lumped monthly representation: A case study of the Grootdraai Catchment, South Africa 基于预先存在的空间集总月表示建立分布式、日时间步水资源模型的框架：以南非Grootdraai集水区为例

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-06-02 DOI: 10.1016/j.ejrh.2025.102493

Sofia Lazar , Andrew Robert Slaughter , Neil Griffin , Oghenekaro Nelson Odume

{"title":"A framework for establishing a distributed, daily-time-step water resources model based on a pre-existing spatially lumped monthly representation: A case study of the Grootdraai Catchment, South Africa","authors":"Sofia Lazar , Andrew Robert Slaughter , Neil Griffin , Oghenekaro Nelson Odume","doi":"10.1016/j.ejrh.2025.102493","DOIUrl":"10.1016/j.ejrh.2025.102493","url":null,"abstract":"<div><h3>Study region</h3><div>Southern Africa</div></div><div><h3>Study focus</h3><div>Proprietary monthly lumped models are pragmatic tools for water resources management and planning. However, their low spatial granularity and limited transparency pose significant obstacles to effective water quantity and quality management, particularly in developing countries. This study aimed to develop a distributed, daily-time-step model for a developing country catchment based on an existing black-box, lumped, monthly representation.</div></div><div><h3>New hydrological insights for the region</h3><div>An Open-Source, Python Water Resources (Pywr) model of the Grootdraai Catchment, South Africa was developed based on a pre-existing monthly Water Resources Yield Model (WRYM) representation. Nodes in the Pywr model were established at a finer spatial scale, and return flows were represented individually. Lumped, monthly natural inflows of the WRYM model were disaggregated to daily using an existing method based on daily rainfall. Abstractions and return flows in the WRYM were disaggregated evenly among the days in the month for input into the Pywr representation. Comparisons of monthly simulated WRYM reservoir storage and river flow with the daily simulations by Pywr exhibited a high level of agreement. The proposed framework can considerably reduce the time and resources required to develop spatially distributed models by leveraging existing resources and can guide the cost-effective and rapid transition from monthly-lumped to daily-distributed water resources models.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102493"},"PeriodicalIF":4.7,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189640","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

Dynamic interactions and disturbance responses of the water resource, eco-hydrological, grazing, and economic composite system for a grassland-type inland river basin 草原型内陆河流域水资源、生态水文、放牧和经济复合系统的动态相互作用及扰动响应

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-31 DOI: 10.1016/j.ejrh.2025.102490

Ting Liu , Yixuan Wang , Tingxi Liu , Limin Duan , Jin Sun , Shaojie Chu , Bo Zhang , Guixin Zhang , Mingyu Ji , Yixuan Zhang

{"title":"Dynamic interactions and disturbance responses of the water resource, eco-hydrological, grazing, and economic composite system for a grassland-type inland river basin","authors":"Ting Liu , Yixuan Wang , Tingxi Liu , Limin Duan , Jin Sun , Shaojie Chu , Bo Zhang , Guixin Zhang , Mingyu Ji , Yixuan Zhang","doi":"10.1016/j.ejrh.2025.102490","DOIUrl":"10.1016/j.ejrh.2025.102490","url":null,"abstract":"<div><h3>Study Region</h3><div>The Xilin River basin located in the semi-arid grassland.</div></div><div><h3>Study Focus</h3><div>This work focused on the dynamic interactions and disturbance responses of a water resource, eco-hydrological, grazing, and economic (WEGE) composite system within a grassland-type inland river basin. Based on the vector autoregressive model framework, the WEGE coupling model, along with its evaluation index system, was constructed to determine the internal interactions of the composite system. The resilience, resistance, and sensitivity of the sub-systems under external disturbances were further quantitatively assessed.</div></div><div><h3>New hydrological insights for the region</h3><div>The results indicated that (1) the water resource sub-system generates a primary influence on the composite system; (2) in response to external disturbances, the economic sub-system shows the largest resilient (0.0046/step), while the eco-hydrological sub-system the smallest (0.0015 /step); the grazing sub-system has the strongest resistance (76.92), while the water resource sub-system the weakest (27.78); additionally, the water resource sub-system is the most sensitivity (0.93 Hz), and the grazing sub-system the least (0.40 Hz). It is demonstrated that the water resource and grazing sub-systems play dominant roles in controlling the composite system. Sustainable water resource management and moderate grazing planning are essential priorities for grassland protection and development.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102490"},"PeriodicalIF":4.7,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185181","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

Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors 不同石漠化地区降雨侵蚀力动态演变及多维驱动因素分析

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-30 DOI: 10.1016/j.ejrh.2025.102492

Yingshan Zhao , Dayun Zhu , Zhigao Wu , YuRong Han , WanQing Liu , YuRong Mu , Hua Xiao

{"title":"Dynamic evolution of rainfall erosivity in different rocky desertification areas and analysis of multidimensional driving factors","authors":"Yingshan Zhao , Dayun Zhu , Zhigao Wu , YuRong Han , WanQing Liu , YuRong Mu , Hua Xiao","doi":"10.1016/j.ejrh.2025.102492","DOIUrl":"10.1016/j.ejrh.2025.102492","url":null,"abstract":"<div><h3>Study region</h3><div>Karst rocky desertification areas in southwest China, covering eight control zones.</div></div><div><h3>Study focus</h3><div>This study uses Mann-Kendall test, Gravity Center model, and Optimal Parameter-based Geographical Detectors to analyze spatiotemporal distribution and driving factors of rainfall erosivity (R) in different rocky desertification control zones from 1961 to 2020. It also employs NEX-GDDP-CMIP6 model to predict future changes in R.</div></div><div><h3>New hydrological insights for the region</h3><div>The results indicate that: (1) The long-term average R in region is 4656.20 MJ mm·ha⁻¹ ·h⁻¹ ·a⁻¹ , with significant variations across different control zones. The maximum and minimum R values are found in Karst Peak Forest-Plain (PFP) and Karst Canyon (KC) zones, respectively. Seasonally, summer has the highest erosivity, followed by spring, autumn, and winter, with increasing trends in summer, autumn, and winter. (2) Rainfall is the primary driver of erosivity, with an average explanatory power exceeding 55 %. The interaction between socioeconomic factors and rainfall significantly contributes to explaining rainfall erosivity. (3) Future predictions show that rainfall erosivity will further increase, with changes ranging from −5.78–85.60 %. Notable increases are observed in Karst Hills and Depression (KHD), Karst Trough Valley (KTV), and PFP zones. The center of erosivity is expected to shift northwest, southwest, and southeast. These findings enhance our understanding of rainfall erosivity in rocky desertification areas and inform the update of soil and water conservation measures.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102492"},"PeriodicalIF":4.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166586","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

Application of stochastic models for long-range sediment transport during extreme typhoon events 极端台风事件中长距离输沙随机模式的应用

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-30 DOI: 10.1016/j.ejrh.2025.102463

Yu-Ju Hung, Christina W. Tsai

{"title":"Application of stochastic models for long-range sediment transport during extreme typhoon events","authors":"Yu-Ju Hung, Christina W. Tsai","doi":"10.1016/j.ejrh.2025.102463","DOIUrl":"10.1016/j.ejrh.2025.102463","url":null,"abstract":"<div><h3>Study Region</h3><div>The research focuses on the Shihmen Reservoir in northern Taiwan, a multifunctional rolled rockfill reservoir experiencing reduced capacity due to sediment accumulation, which is further exacerbated by significant flood events during typhoons.</div></div><div><h3>Study Focus</h3><div>Our research employs a novel fractional stochastic diffusion particle tracking model (FSD-PTM), incorporating fractional Brownian motion to account for the long-range dependencies observed in suspended sediment transport during extreme typhoon events. By capturing these dependencies, the model offers improved predictions of sediment dynamics, essential for understanding and managing sediment-related challenges in hydrological reservoir systems under severe weather conditions, thereby supporting operational safety and environmental compliance.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>The application of the FSD-PTM has provided new insights into sediment dynamics during typhoon events in the Shihmen Reservoir. Traditional models based on memoryless diffusion often fail to represent the persistence observed in suspended sediment transport under sustained turbulent flows. By incorporating long-range dependence into the particle motion framework, this study highlights the importance of memory effects in simulating sediment spread. These findings support more accurate predictions of sediment deposition patterns, providing a scientific basis for adaptive reservoir operation strategies in response to intensifying climatic extremes.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102463"},"PeriodicalIF":4.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166585","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

Simulation of the impacts of projected climate change on groundwater resources in the Urban, Semiarid Yucaipa Valley Watershed, Southern California using an integrated hydrologic model 基于综合水文模型的气候变化预估对南加州尤开帕河谷城市半干旱地区地下水资源的影响

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-29 DOI: 10.1016/j.ejrh.2025.102461

Derek W. Ryter , Ayman H. Alzraiee , Richard G. Niswonger

{"title":"Simulation of the impacts of projected climate change on groundwater resources in the Urban, Semiarid Yucaipa Valley Watershed, Southern California using an integrated hydrologic model","authors":"Derek W. Ryter , Ayman H. Alzraiee , Richard G. Niswonger","doi":"10.1016/j.ejrh.2025.102461","DOIUrl":"10.1016/j.ejrh.2025.102461","url":null,"abstract":"<div><div>Managing water resources in semiarid watersheds is challenging due to limited supply and uncertain future climate conditions. This paper examines the impact of future climate changes on an urban watershed in southern California using an integrated hydrologic model. GSFLOW modeling software is used to simulate the nonlinear relationships between climate trends and precipitation partitioning into ET, runoff, and subsurface storage. Four global circulation models (GCMs), each with two greenhouse-gas scenarios, RCP45 and RCP85 are used to project future climate conditions. GCMs include the CanESM2, CNRM-CM5, HadGEM2-ES, and MIROC5 models. The model's simulated hydrologic conditions are compared with historical data to assess changes in water budgets and groundwater supply. Results indicate decreased groundwater storage in most scenarios due to increased natural evapotranspiration, vegetation consumptive use, and streamflow out of the watershed. Only scenarios with substantially increased future precipitation show increased groundwater storage. The study also highlights increased future aridity despite the rise in precipitation and large precipitation events forecast by GCMs, which increase the risk of urban floods and decrease stream leakage and water available to vegetation.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102461"},"PeriodicalIF":4.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166584","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

Dimensionality reduction for groundwater forecasting under drought and intensive irrigation with neural networks 基于神经网络的干旱集约灌溉条件下地下水降维预测

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-28 DOI: 10.1016/j.ejrh.2025.102477

Tarik Bouramtane , Ismail Mohsine , Nourelhouda Karmouda , Marc Leblanc , Yannick Estève , Ilias Kacimi , Mohamed Hilali , Salima Mdhaffar , Sarah Tweed , Mounia Tahiri , Nadia Kassou , Ali El Bilali , Omar Chafki

{"title":"Dimensionality reduction for groundwater forecasting under drought and intensive irrigation with neural networks","authors":"Tarik Bouramtane , Ismail Mohsine , Nourelhouda Karmouda , Marc Leblanc , Yannick Estève , Ilias Kacimi , Mohamed Hilali , Salima Mdhaffar , Sarah Tweed , Mounia Tahiri , Nadia Kassou , Ali El Bilali , Omar Chafki","doi":"10.1016/j.ejrh.2025.102477","DOIUrl":"10.1016/j.ejrh.2025.102477","url":null,"abstract":"<div><div>Study Region: This study focuses on the Berrechid aquifer system in northern Morocco.</div><div>Study Focus: The research explores Principal Component Analysis (PCA) for optimizing input selection in groundwater level forecasting using neural networks. PCA efficiently reduces input dimensionality while preserving critical information, making it beneficial for neural network modelling of natural systems with extensive input variables in a low-resource scenarios requiring feature engineering. A Long Short-Term Memory (LSTM) model predicted groundwater levels in six monitoring bores using four hydro-climatic variables, precipitation, land surface temperature (LST), actual evapotranspiration (AET), and the normalized difference vegetation index (NDVI). Model performance was compared using two approaches: the LSTM-XGB model with the best-selected input features and the LSTM-PC1 model based on the first principal component (PC1). New Hydrological Insights for the Region: Results showed that NDVI, AET, and LST were the dominant inputs across different monitoring bores. On average, PC1 accounted for 68.3 % of the variance in hydro-climatic variables, with an eigenvalue of 2.75, surpassing the combined variance of two individual hydro-climatic variables. Both models performed effectively, achieving R² values of 0.982–0.999 during training and 0.885–0.999 during validation. The models successfully captured groundwater fluctuations and the declining trend during drought. LSTM-XGB slightly outperformed LSTM-PC1 in certain cases, but the differences were minimal. The use of PC1 not only mitigates overfitting risks but also allows for generalized predictions across multiple monitoring sites, making it a practical choice for large datasets.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102477"},"PeriodicalIF":4.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144146858","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

Air-for-water substitution in characterizing lake heatwaves in the middle and lower reaches of the Yangtze River Basin 长江中下游湖泊热浪的气水替代特征

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-27 DOI: 10.1016/j.ejrh.2025.102475

Zihan Zhu , Wei Wang , Heng Lyu , Bo Wang , Zhiwen Wen , Qiuxiang Jin

{"title":"Air-for-water substitution in characterizing lake heatwaves in the middle and lower reaches of the Yangtze River Basin","authors":"Zihan Zhu , Wei Wang , Heng Lyu , Bo Wang , Zhiwen Wen , Qiuxiang Jin","doi":"10.1016/j.ejrh.2025.102475","DOIUrl":"10.1016/j.ejrh.2025.102475","url":null,"abstract":"<div><h3>Study region</h3><div>This study focuses on seventeen lakes with surface area larger than 100 km<sup>2</sup> located in the middle and lower reaches of the Yangtze River Basin, China.</div></div><div><h3>Study focus</h3><div>This study compares the spatiotemporal differences between lake heatwave and atmospheric heatwave metrics and elucidates the intensity differences between two heatwaves across seventeen lakes in the middle and lower reaches of the Yangtze River Basin.</div></div><div><h3>New hydrological insights for the region</h3><div>This study demonstrated that air-for-water substitution is invalid in characterizing lake heatwaves in this region. Compared to atmospheric heatwaves, lake heatwaves in the study region are characterized by higher frequency, lower intensity, and longer duration. Significantly more frequent and longer-lasting lake heatwaves are observed in the middle and lower reaches of the Yangtze River. At the interannual timescale, lake heatwaves are increasing faster than atmospheric ones by 0.8 d per decade in total annual duration and 1.2 times as fast in frequency, but more slowly by 0.3 K per decade in average intensity. But the difference in long-term change rates between two heatwaves exhibits no discernible spatial pattern. Although air temperature (4.41 K, 94.23 % of the total) is the largest contributor to the average intensity of lake heatwaves, other meteorological variables collectively modulate lake heatwave intensity and cannot be neglected.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102475"},"PeriodicalIF":4.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144146857","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

Generation of sub-daily precipitation time series anywhere in Switzerland by mapping the parameters of GWEX-MRC, an at-site weather generator 通过绘制GWEX-MRC（现场天气生成器）参数，生成瑞士任何地方的次日降水时间序列

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-05-27 DOI: 10.1016/j.ejrh.2025.102454

Kaltrina Maloku, Guillaume Evin, Benoit Hingray

{"title":"Generation of sub-daily precipitation time series anywhere in Switzerland by mapping the parameters of GWEX-MRC, an at-site weather generator","authors":"Kaltrina Maloku, Guillaume Evin, Benoit Hingray","doi":"10.1016/j.ejrh.2025.102454","DOIUrl":"10.1016/j.ejrh.2025.102454","url":null,"abstract":"<div><div><em>Study Region</em></div><div>Switzerland</div><div><em>Study Focus</em></div><div>Stochastic weather generators (WGENs) are a common tool for generating long precipitation scenarios, also needed at ungauged sites. This study evaluates different methods for obtaining the parameters of a hybrid at-site WGEN at any location within the study area. The hybrid GWEX-MRC model is composed of GWEX, a daily WGEN, and MRC, a disaggregation model based on multiplicative random cascades. Two approaches are considered for obtaining parameter maps. The first approach applies classical spatial interpolation techniques, kriging and thin-plate splines, to parameter estimates derived from rain gauge data. The second approach uses CombiPrecip, an hourly gridded precipitation product from MeteoSwiss, to estimate parameters at grid scale. <em>New Hydrological Insights for the Region</em></div><div>We find that the parameters of GWEX-MRC can be interpolated with satisfactory results across Switzerland. Among interpolation techniques, kriging with elevation as an external drift performs best for GWEX, while thin-plate spline with elevation gives better results for MRC. The comparison of the two approaches, interpolation of site-based estimates and direct parameter estimation using CombiPrecip, showed comparable or slightly different performance depending on the precipitation statistic and season. These findings reveal the feasibility of both approaches and provide insights into their relative strengths and limitations. In addition, this study demonstrates that long precipitation scenarios can be reliably generated throughout Switzerland, which can later be used to feed a hydrological model.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"60 ","pages":"Article 102454"},"PeriodicalIF":4.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139325","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