Journal of Hydrology-Regional Studies最新文献

{"title":"Re-examining virtual water transfer in the Yellow River Basin, China","authors":"Huimin Yang ,&nbsp;Yuan Wang ,&nbsp;Binbin Peng ,&nbsp;Xiangping Zhang ,&nbsp;Hongyang Zou","doi":"10.1016/j.ejrh.2024.101971","DOIUrl":"10.1016/j.ejrh.2024.101971","url":null,"abstract":"<div><h3>Study region</h3><p>The Yellow River Basin (a water-deficient region) in China.</p></div><div><h3>Study focus</h3><p>The redistribution of virtual water through trade holds potential to enhance water security in the Yellow River Basin. We explored a virtual water tri-circulation model at the city level to mitigate water stress in the Yellow River Basin. The tri-circulation model includes internal, external and international virtual water flows. This research investigated the heterogeneity of virtual water trade between upstream and downstream regions, identified key regions and sectors to facilitate physical water redistribution and enhance regional cooperation.</p></div><div><h3>New hydrological insights for the region</h3><p>This study revealed that the Yellow River Basin received virtual water amounting to 8.40 % of its total virtual water consumption, with external circulation being the key circulation. Upstream regions primarily exported water resources to downstream regions and developed regions outside through agricultural trade, while downstream regions received water from upstream regions and underdeveloped regions outside through trade in agri-food products and other service industries. International circulation exported virtual water through water-intensive agricultural products, contributing to increased local environmental burden. Increased attention should be paid to virtual water transfers of the external circulation, implementing compensation strategies, and fostering technical interaction between upstream and downstream regions, and safeguarding upstream agricultural and ecological water to promote the sustainable development of the Yellow River Basin.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101971"},"PeriodicalIF":4.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003203/pdfft?md5=14630c418782dce6a6c650fbf4979737&pid=1-s2.0-S2214581824003203-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Quantifying the overlooked groundwater component in the water budget of a shallow soda lake in Hungary amidst climate change concerns","authors":"Petra Baják ,&nbsp;András Csepregi ,&nbsp;Péter Szabó ,&nbsp;Máté Chappon ,&nbsp;Ádám Tóth ,&nbsp;Katalin Hegedűs-Csondor ,&nbsp;Anita Erőss","doi":"10.1016/j.ejrh.2024.101961","DOIUrl":"10.1016/j.ejrh.2024.101961","url":null,"abstract":"<div><h3>Study region</h3><p>Lake Velence.</p></div><div><h3>Study focus</h3><p>Soda lakes are extreme habitats whose special hydrochemical characteristics can partly be explained by groundwater inflow. The relationship between groundwater and Lake Velence has never been properly investigated. A significant decrease in the lake’s level in recent years urged an evaluation of the components of the lake’s water budget, including groundwater as well. A 3D transient numerical groundwater flow simulation, using Visual MODFLOW, was performed between 1990 and 2021 to evaluate the lake’s relationship with groundwater and quantify the groundwater discharge into the lake. To assess future lake level changes until 2050, six lake level simulations were run based on three different regional climate models and two global warming scenarios (RCP2.6 and RCP8.5).</p></div><div><h3>New hydrological insights for the region</h3><p>Our results showed that groundwater inflow accounts for up to 12 % of the total annual inflow into Lake Velence. It has been numerically shown that precipitation and evaporation are the primary drivers of lake level changes, meaning that the variation of these two parameters will impact the lake’s future. As for the future lake level changes, the RCP2.6 scenario resulted in an increase of 11 cm, while the RCP8.5 scenario led to a decrease of 30 cm compared to the observed annual average lake level until 2050. Our results emphasize the importance of integrating soda lakes into topography-driven groundwater flow systems to develop climate change adaptation strategies.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101961"},"PeriodicalIF":4.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003100/pdfft?md5=c9ac629fb263e1cf0649ca195e273da4&pid=1-s2.0-S2214581824003100-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Hydrological and hydrodynamic modelling for flood management: A case study of the Yamuna River Basin in Delhi","authors":"Jatin Anand ,&nbsp;A.K. Gosain ,&nbsp;R. Khosa","doi":"10.1016/j.ejrh.2024.101960","DOIUrl":"10.1016/j.ejrh.2024.101960","url":null,"abstract":"<div><h3>Study region</h3><p>Yamuna River (Delhi), India.</p></div><div><h3>Study focus</h3><p>The anthropogenic activities within the vicinity of the floodplain reduce the river's margin and subsequently alter the magnitude of the river's flow. The encroachment of riverbeds leads to waterlogging and flooding in urban areas, thereby causing damage to property, human life, etc. It necessitates a comprehensive study of the floodplain and changes in its proximity such as encroachment of floodplains to carry out any further activities with certainty. This study employs a two-dimensional model to simulate the Yamuna River's (YR) hydrodynamic characteristics, focusing on India's Delhi region.</p></div><div><h3>New hydrological insights</h3><p>Simulated flood flows are employed to evaluate floods of once in 10, 20, 25, and 30-year return periods using the flood frequency analysis for 1951–2013. The model validation results indicated that the model could mimic the flood depth in YR. Simulation results revealed that the floodplain's encroachment had increased the severity of the floods. The increase in the extremeness of flooding events, i.e., from once in a 10-year return period to a 30-year return period event, is expected to increase the areas at risk of floods by 12 %. The model also offers a potential platform for evaluating other alternatives, such as further encroachment, for a business-as-usual scenario or for restoring the Yamuna floodplains. With such a comprehensive perspective, floodplains' role enhances river basin resilience to climate and anthropogenic changes and increases flood safety.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101960"},"PeriodicalIF":4.7,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003094/pdfft?md5=882d94224afccab8b56e90019bf6fb00&pid=1-s2.0-S2214581824003094-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"An advanced approach for drinking water quality indexing and health risk assessment supported by machine learning modelling in Siwa Oasis, Egypt","authors":"Mohamed Hamdy Eid ,&nbsp;Viktoria Mikita ,&nbsp;Mustafa Eissa ,&nbsp;Hatem Saad Ramadan ,&nbsp;Essam A. Mohamed ,&nbsp;Mostafa R. Abukhadra ,&nbsp;Ahmed M. El-Sherbeeny ,&nbsp;Attila Kovács ,&nbsp;Péter Szűcs","doi":"10.1016/j.ejrh.2024.101967","DOIUrl":"10.1016/j.ejrh.2024.101967","url":null,"abstract":"<div><h3>Study region</h3><p>Siwa Oasis is located very far (800 km) from the main water resources (Nile River) of Egypt and the people in the study area mainly rely on groundwater for all purposes</p></div><div><h3>Study focus</h3><p>The deterioration of drinking water quality and the accumulation of potentially toxic elements (PTEs) in water at high levels in arid regions such as Siwa Oasis in Egypt can pose significant risks to humans and living organisms. The methodology of study involved performing geochemical modeling, contamination source detection, and optimizing a new model using machine learning model for prediction of integrated weight water quality index (IWQI), Health risk indices (HI and HQ) regarding oral and dermal exposure to potentially toxic elements (PTEs).</p></div><div><h3>New hydrological insights for the region</h3><p>The key findings of this research showed that the Nubian sandstone aquifer (NSSA) is characterized mainly by mixed Ca-Mg-Cl/SO₄ fresh water type and influenced by silicate weathering. The nitrates sources fell between atmospheric inputs in the case of NSSA, soil nitrogen in Tertiary carbonate aquifer (TCA), springs, and drains, while sewage water strongly affects the lakes. The IWQI values demonstrated that water resources in the deep aquifer (NSSA) is appropriate for drinking with ranking of quality range from medium to excellent quality (IWQI &lt; 150). The shallow aquifer (TCA) is suitable for drinking in the south east of the Oasis only with intermediate quality ranking (100 &lt; IWQI &lt; 150), while the poor water quality needs further treatment in the western side of Siwa Oasis. The non-carcinogenic risks evaluation revealed the vulnerability of child and adult to oral exposure of PTEs in the west and center of the investigated area. The feed forward back propagation neural network (FFBP-NN) model was a powerful tool for predicting IWQI and HI, where the relationship between the actual and predicted value had R² greater than 0.95 and mean square error (MSE) range from 5.4E-05–0.66, root mean square error (RMSE) between 0.006 and 0.81, and relative square error (RSE) between 0.001 and 2.4 E-05.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101967"},"PeriodicalIF":4.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003161/pdfft?md5=d0538191b8fa5ac5ecdd4bc305685fd6&pid=1-s2.0-S2214581824003161-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin","authors":"Mohamed Refaat Elgendy ,&nbsp;Paulin Coulibaly ,&nbsp;Sonia Hassini ,&nbsp;Wael El-Dakhakhni ,&nbsp;Yasser Elsaie ,&nbsp;Mesfin Benti Tolera ,&nbsp;Samuel Dagalo Hatiye ,&nbsp;Mekonen Ayana","doi":"10.1016/j.ejrh.2024.101969","DOIUrl":"10.1016/j.ejrh.2024.101969","url":null,"abstract":"<div><h3>Study region</h3><p>The Nile River Basin</p></div><div><h3>Study focus</h3><p>The lack of observed streamflow data at a short time scale poses a critical challenge for calibrating and validating hydrologic models. Therefore, many disaggregation methods were developed, resulting in various relative performances without a clear indication of the optimal choice. This study aims to iteratively assess eight monthly to daily streamflow disaggregation methods at 21 major subbasin outlets in the Nile River Basin (NRB) to identify the best-performing ones. These methods include one proportionality method and seven interpolation methods, i.e., linear, 2nd-order spline, 3rd-order spline, Piecewise Cubic Hermite Interpolating Polynomial (Pchip), Modified Akima (MAkima), mean preserved 2nd-order spline, and mean preserved 3rd-order spline. We assessed these methods using three metrics and visual investigations.</p></div><div><h3>New hydrologic insights for the region</h3><p>The results showed that the interpolation methods performed well, better than the proportionality method. However, their performances decreased at stations with high daily streamflow fluctuations. The interpolation methods’ performances were similar in mimicking the daily values but significantly different in preserving the mass balance. The mean preserving 3rd-order interpolation method (Lai 22) was the best in preserving the mass balance and capturing the low, moderate and high flows and, therefore, selected to generate the daily flow data in the NRB. The results of this study can guide a reliable method for obtaining daily streamflow data, which is important for the hydrologic and water management studies in the NRB.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101969"},"PeriodicalIF":4.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003185/pdfft?md5=8a92354e34976927562f35919b200dd2&pid=1-s2.0-S2214581824003185-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Significant contribution of bias correction methods to uncertainty in future runoff projections under CMIP6 climate change","authors":"Seung Taek Chae,&nbsp;Eun-Sung Chung","doi":"10.1016/j.ejrh.2024.101973","DOIUrl":"10.1016/j.ejrh.2024.101973","url":null,"abstract":"<div><h3>Study region</h3><p>Mokgam River watershed, South Korea</p></div><div><h3>Study focus</h3><p>In this study, the uncertainty contribution of three sources and their interaction effects on future climate and runoff projections were quantified. General circulation models (GCMs), shared socioeconomic pathways (SSPs), and bias correction (BC) methods were considered as the three sources. 20 GCMs under four SSPs (SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5) were used to project the future climate of the study area. Seven BC methods were used to adjust the GCMs’ daily climate data. The storm water management model (SWMM) was used as a hydrological model to simulate runoff, incorporating both natural and conduit flows according to GCMs’ climate projection. The normalized Nash-Sutcliffe efficiency (NNSE), normalized root mean square error (NRMSE), Kling-Gupta efficiency (KGE), and modified index of agreement (MD) were used to evaluate the performance of the GCMs’ climate simulations and the SWMM runoff simulations, which were based on the GCMs’ climate data. The analysis of variance (ANOVA) method was used to quantify the uncertainty.</p></div><div><h3>New hydrological insights for the study region</h3><p>The results showed that the assumptions of the BC method had a significant impact on the variation in climate and runoff projections. In the uncertainty of future climate and runoff projection results, BC methods exhibited the predominant contribution, while SSPs showed the least contribution. However, the uncertainty contribution from SSPs and GCMs was predominant in temperature projections, and these results could vary depending on the assumptions and the number of BC methods used. Overall, this study emphasizes not only the influence of GCMs but also the impact of BC methods on future climate and runoff projections.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101973"},"PeriodicalIF":4.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003227/pdfft?md5=9f472d57071e930ccc182d2377790121&pid=1-s2.0-S2214581824003227-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Prediction of summer precipitation via machine learning with key climate variables：A case study in Xinjiang, China","authors":"Chenzhi Ma ,&nbsp;Junqiang Yao ,&nbsp;Yinxue Mo ,&nbsp;Guixiang Zhou ,&nbsp;Yan Xu ,&nbsp;Xuemin He","doi":"10.1016/j.ejrh.2024.101964","DOIUrl":"10.1016/j.ejrh.2024.101964","url":null,"abstract":"<div><p>Study region: Xinjiang is located in the mid-latitude region of Eurasia in northwestern China. Precipitation is predominantly concentrated in northern Xinjiang, while southern Xinjiang remains comparatively arid. Summer precipitation accounts for 54.4 % of the annual total. Study focus: This study aims to develop a machine learning model to predict summer precipitation (June–August) in XJ and explore the key variables contributing to summer precipitation in this region. The SHapley Additive exPlanations method was integrated with an extreme tree model to quantify the contributions of variables towards precipitation. Artificial neural networks, support vector machines, and extreme gradient boosting were considered to predict summer precipitation. To train the ML model, we used precipitation data from 1961 to 2012, whilst the forecast results from 2013 to 2017 were used for validation. New hydrological insights for the regions: The results demonstrated that the ANN model achieved robust performance during both the training and validation periods. For Northern and Southern XJ, the Mean Absolute Error and Root Mean Square Error of the ANN model were 15.34 (20.40) and 23.21 (30.01), respectively. The SHAP analysis showed that in the context of Northern Xinjiang, the Niño B Sea Surface Temperature Anomaly, Western Pacific Subtropical High Intensity, Pacific Subtropical High Intensity, and Multivariate ENSO Index play crucial roles in the prediction of summer precipitation. In Southern Xinjiang, the South China Sea Subtropical High Intensity, South China Sea Subtropical High Area, Western Pacific Warm Pool Strength, and Atlantic multidecadal oscillation have emerged as key variables affecting summer precipitation forecasting.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101964"},"PeriodicalIF":4.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003136/pdfft?md5=11dd4ea4836141d1ff850f83c011b017&pid=1-s2.0-S2214581824003136-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Hydrological drought assessment of the Yellow River Basin based on non-stationary model","authors":"Jiarui Yu ,&nbsp;Rui Xiao ,&nbsp;Mingzhi Liang ,&nbsp;Yaping Wang ,&nbsp;Shuai Wang","doi":"10.1016/j.ejrh.2024.101974","DOIUrl":"10.1016/j.ejrh.2024.101974","url":null,"abstract":"<div><h3>Study region</h3><p>the Yellow River Basin</p></div><div><h3>Study focus</h3><p>Non-stationary hydrological conditions are becoming increasingly common due to climate change and human activities, and pose a novel challenge to the management of water resources and related risks, especially for large basins. However, prevalent research on drought assessment often ignores the non-stationary characteristics of hydrological processes. In this study, we investigated the stationarity of the runoff of the Yellow River Basin (YRB), the second-longest basin in China. We used an approach for assessing non-stationary droughts based on the generalized additive model for location, scale, and shape to establish a standardized runoff index containing covariates (SRI_cov) to identify hydrological droughts in the basin from 1986 to 2015.</p></div><div><h3>New hydrological insights for the region</h3><p>The results show that the runoff was non-stationary in the YRB. Based on SRI_cov, hydrological drought predominantly occurred in the entire YRB in spring. From 1986, the number of months in which droughts occurred in the YRB exhibited a general trend of increase and peaked around 2002. After that, the total number of droughts significantly decreased but extreme droughts had become more prominent since 2005. The drought was more severe in the middle reaches of the Yellow River, and was characterized by a high frequency, intensity, and severity. Our analysis enhances the understanding of hydrological modeling and drought assessment under non-stationary conditions.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101974"},"PeriodicalIF":4.7,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003239/pdfft?md5=128bb27dd5e9414b962f415d71a8841e&pid=1-s2.0-S2214581824003239-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Sensitivity of montane grassland water fluxes to warming and elevated CO2 from local to catchment scale: A case study from the Austrian Alps","authors":"Matevž Vremec ,&nbsp;Peter Burek ,&nbsp;Luca Guillaumot ,&nbsp;Jesse Radolinski ,&nbsp;Veronika Forstner ,&nbsp;Markus Herndl ,&nbsp;Christine Stumpp ,&nbsp;Michael Bahn ,&nbsp;Steffen Birk","doi":"10.1016/j.ejrh.2024.101970","DOIUrl":"10.1016/j.ejrh.2024.101970","url":null,"abstract":"<div><p>Study region: Montane grassland within the Gulling catchment, Austrian Alps. Study focus: A climate-change experiment in a grassland ecosystem used lysimeters and HYDRUS-1D models to quantify changes in evapotranspiration (ET) and groundwater recharge (GWR) due to warming (＋3 °C) and elevated <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> concentrations (<span><math><mrow><mi>Δ</mi><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span>; ＋300 ppm). Findings at the plot-scale were generalized and transferred to the surrounding catchment, half comprised of grassland, using three lumped rainfall–runoff models and two spatially-distributed Community Water Models, differing in soil hydraulic properties.</p><p>New hydrological insights for the region: Warming increased ET and decreased GWR and river discharge compared to ambient conditions. <span><math><mrow><mi>Δ</mi><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span> increased stomatal resistance, which partially offset warming effects. In scenarios combining warming and <span><math><mrow><mi>Δ</mi><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span>, the impact of warming was higher than <span><math><mrow><mi>Δ</mi><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span> effect. Elevation influenced the sensitivity of ET to warming, which was greater at the catchment scale than at the plot scale, while GWR was more sensitive to warming at the plot scale. Under dry conditions, GWR and discharge exhibited increased sensitivity to warming at both scales. HYDRUS-1D successfully reproduced lysimeter experiment results and their sensitivity to warming and <span><math><mrow><mi>Δ</mi><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span>. Despite model agreement on water flux sensitivity to climate changes, the varying response magnitudes highlight the need for a multi-model approach in climate impact assessments. This study provides insights into how climate change might impact hydrological dynamics of montane grassland systems across the Central European Alps.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101970"},"PeriodicalIF":4.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003197/pdfft?md5=aa5fabc922873653387e16e2c07981b8&pid=1-s2.0-S2214581824003197-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142228818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Spatial and temporal analysis and trends of extreme precipitation over the Mississippi River Basin, USA during 1988–2017","authors":"Atanas Dommo ,&nbsp;Noel Aloysius ,&nbsp;Anthony Lupo ,&nbsp;Sherry Hunt","doi":"10.1016/j.ejrh.2024.101954","DOIUrl":"10.1016/j.ejrh.2024.101954","url":null,"abstract":"<div><h3>Study region</h3><p>Mississippi River Basin.</p></div><div><h3>Study focus</h3><p>Using daily precipitation records of 769 meteorological stations over the Mississippi River Basin (MRB), the spatial-temporal variability and trend of nine extreme precipitation indices were estimated and statistically assessed using the Mann-Kendall test. Factors likely to influence the spatial pattern and trends of precipitation extremes indices were also checked.</p></div><div><h3>New hydrological insights for the region</h3><p>The spatial pattern of the extreme precipitation indices exhibits a southeast to Northwest dipole, with the maximum values recorded over the southeastern part of the domain (exception being for Consecutive Dry Days, CDD which shows otherwise) driven by the southerly moisture transport toward the southeast. The spatial pattern of the extreme precipitation is controlled by the topography. The results also show that, on average, almost all the indices (except CDD) exhibit an increasing trend. The total wet day precipitation exhibits a significant increasing trend. Spatially, most of the significant increasing (decreasing) trends of the extreme's precipitation-except CDD- are located over the Upper (South) MRB where there is a significant sign toward cooling (warming) conditions. This supports the view that changing climate towards warming (cooling) conditions is significantly affecting precipitations extremes over the MRB. The relationships between large-scale teleconnections and extreme precipitation show that Pacific North America significantly increases (decreases) frequency and intensity indices over the Northwest (southeast) MRB, whereas the Pacific Decadal Oscillation does increase the frequency and intensity indices over the southeast. El Niño Southern Oscillation significantly increases the frequency and intensity indices over the entire MRB, with consequences to infrastructure failures, increasing vulnerable populations, risk zones and relocations populations.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 101954"},"PeriodicalIF":4.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824003033/pdfft?md5=93deadfd3ee51f863b1e7e7fca183256&pid=1-s2.0-S2214581824003033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142228715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}