Journal of Hydrology-Regional Studies最新文献

{"title":"Hydrogeological conceptual model and groundwater recharge of Avella Mts. karst aquifer (southern Italy): A literature review and update","authors":"Paola Petrone,&nbsp;Pantaleone De Vita,&nbsp;Palmira Marsiglia,&nbsp;Pasquale Allocca,&nbsp;Silvio Coda,&nbsp;Delia Cusano,&nbsp;Daniele Lepore,&nbsp;Vincenzo Allocca","doi":"10.1016/j.ejrh.2024.101871","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101871","url":null,"abstract":"<div><h3>Study region</h3><p>Avella Mts., southern Italy.</p></div><div><h3>Study focus</h3><p>The paper is focused on groundwater of Avella Mts. This aquifer has been experiencing an increasing human pressure due to periods of drought and growth in groundwater extraction. A novel hydrogeological conceptual model was developed, and groundwater recharge was estimated by two approaches. The study was carried out by an in-depth literature review and a GIS-based analysis of geological and piezometric data, ground-based meteorological and remotely sensed data.</p></div><div><h3>New hydrological insights for the region</h3><p>The new hydrogeological conceptual model allowed to reconstruct the aquifer lithology, its deep geometry, and, for the first time, groundwater flow scheme. Five groundwater basins were recognized with distinct outlets and subsurface outflows, suggesting a new aquifer compartmentalization in-series groundwater basins. Some basal springs are fed by autonomous basins with smaller extension, while other springs have dried up completely. The groundwater recharge varies from 7.30 to 6.90 m³/s as estimated by Turc formula and MODIS data, respectively; the values are comparable among them, confirming mutually the validity of approaches used. The comparison with previous studies highlights variations and changes for both the hydrogeological conceptual model and water balance, linked to natural and anthropogenic factors. The results obtained represent a way for supporting sustainable management of groundwater, waterwork systems security and groundwater-dependent ecosystems protection of a large sector of Campania region.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002192/pdfft?md5=68d7bc68085ff5a3c0b7f194439b7b50&pid=1-s2.0-S2214581824002192-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141487127","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":"Modeling of groundwater productivity in the Alfred Nzo District, South Africa, using relative frequency ratio and Shannon entropy models","authors":"Gbenga Olamide Adesola","doi":"10.1016/j.ejrh.2024.101877","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101877","url":null,"abstract":"<div><h3>Study region</h3><p>Alfred Nzo District, Eastern Cape Province, South Africa.</p></div><div><h3>Study focus</h3><p>The study aimed to identify groundwater potential zones in the Alfred Nzo District using advanced geographic information systems and remote sensing applications by integrating relative frequency ratio (RF) with predictor rate and Shannon entropy (SE) models. Seven influential factors that are thought to control groundwater availability in the Alfred Nzo District were considered to identify groundwater potential zones. These factors are drainage density, lineament density, rainfall, slope, land use and land cover, lithology, and soil class. The factors were weighted in the RF and SE approaches. About 70 % of boreholes were used as training datasets, and 30 % were used for validation. Groundwater potential zones were delineated by integrating all these factors and their corresponding weights in ArcGIS software. The accuracy of each model was evaluated using receiver operating characteristic curve and area under curve techniques.</p></div><div><h3>New hydrological insights for the region</h3><p>Five groundwater potential zones were found in the research area, which includes very poor, poor, moderate, good, and very good, by RF and SE models. The results of the models revealed that the SE model, with a success rate of 79.80 %, performed better than the RF, with a success rate of 75.10 %. The results of this research could be helpful in adequately managing groundwater resources in the research area.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002258/pdfft?md5=31464929d31c16cafd5167d1006cc4c2&pid=1-s2.0-S2214581824002258-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484076","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":"Interaction between intermittent river and groundwater in arid and semiarid basin considering the influence of evaporation on isotopic compositions","authors":"Jing Jin ,&nbsp;Tiejun Liu ,&nbsp;Zilong Liao ,&nbsp;Mingxin Wang ,&nbsp;Zihe Wang","doi":"10.1016/j.ejrh.2024.101876","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101876","url":null,"abstract":"<div><p>Study region: Tabu Basin is located on a typical-deserted steppe in Inner Mongolia, China and plays a significant role in maintaining ecological stability of northern China.</p><p>Study focus: Among rivers worldwide, 51–60 % cease to flow for at least one day annually, especially in arid and semiarid areas. Understanding interactions between intermittent rivers (IRs) and groundwater (GW) is crucial for protecting water resources and sustaining ecological balance. A comprehensive framework was developed to analyze these interactions.</p><p>New hydrological insights for the region: Unlike previous studies, this study considered seasonal differences in hydrochemical and isotopic compositions of IR and GW, as well as the intensive influence of evaporation. Multitemporal datasets were employed to analyze the IR–GW interaction across spatial, temporal, and profiling scales. Hydrochemical evidence and isotopic analysis indicated the input of meltwater with depleted isotopic signatures to GW and GW recharge to IR. The isotopic compositions followed the order of rainfall &lt; GW &lt;IR; the higher isotopic compositions of the IR were mainly attributed to evaporation. A formula for minimizing the influence of evaporation was derived based on Rayleigh fractionation. Using the MixSIAR model, the GW and rainfall contributions to the IR were 63.8 % and 36.2 %, respectively. The GW was consisted of 55.3 % meltwater and 44.7 % summer rainfall. The integration of multiple methods offers an effective approach for studying IR–GW interactions in arid and semiarid areas.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002246/pdfft?md5=47eca7ac350de66f9872888e72f0e96e&pid=1-s2.0-S2214581824002246-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141487039","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":"Impact of climate change on water crisis and conflicts: Farmers’ perceptions at the ZayandehRud Basin in Iran","authors":"Ladan Naderi ,&nbsp;Esmail Karamidehkordi ,&nbsp;Mohammad Badsar ,&nbsp;Mehrdad Moghadas","doi":"10.1016/j.ejrh.2024.101878","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101878","url":null,"abstract":"<div><h3>Study region</h3><p>The study was conducted in the ZayandehRud Basin in Iran.</p></div><div><h3>Study focus</h3><p>Conflicts over water resources have increasingly occurred on different geographic scales, linked to various human activities and environmental factors, including climate change and the water crisis. This paper examines farmers’ perceptions regarding their vulnerability to climate change, the impact of climate change on the water crisis, and water crisis-induced conflicts. The research uses meteorological data and a survey with 301 randomly selected farmers</p></div><div><h3>New hydrological insights for the region</h3><p>Farmers confirm the significant trends and fluctuations of climatic factors by the meteorological records. Their perceptions are different within and between the upstream and downstream areas of the basin. Farmers also highlight that climate change has damaged water resources, threatened water supply, and exacerbated the water crisis. This intensifies their vulnerability, injustice, and conflicts between farmers in different sub-basins and with industry, environment, and municipal sectors. Moreover, different farmers’ perceptions regarding climate change incidence, climate change-induced water crisis, and water crisis-induced conflicts are likely to produce even greater risks of local and regional disputes among different stakeholders, unless other mechanisms for reducing water insecurity are identified and implemented. Future policies should enhance farmers’ knowledge, reduce misunderstandings and perception gaps regarding climate change and its impact on the water crisis, and manage conflicts among stakeholders and between different sub-basins through social learning platforms.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221458182400226X/pdfft?md5=a9436c42a0949dc6a0718ebcedcb862f&pid=1-s2.0-S221458182400226X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484075","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":"Spatiotemporal lakes surface area changes over 35 years and potential causes in the Central Rift Valley, Ethiopia","authors":"Tolossa Lemma Tola ,&nbsp;Ke Zhang ,&nbsp;Abebe D. Chukalla ,&nbsp;Linxin Liu ,&nbsp;Gazi Tawfiq Ezaz ,&nbsp;Elsayed Ahmed Elsadek ,&nbsp;Mohammed Abdallah","doi":"10.1016/j.ejrh.2024.101863","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101863","url":null,"abstract":"<div><h3>Study Region</h3><p>Central Rift Valley (CRV) region, Ethiopia.</p></div><div><h3>Study Focus</h3><p>The study aims to investigate the spatiotemporal change in lake water surface extents over 35 years (1986–2020) and identify potential causes. Three alternative multispectral water indices—Normalized Difference Water Index (NDWI), Automatic Water Extraction Index (AWEI), and Modified Normalized Difference Water Index (MNDWI)—derived from Landsat sensors (TM, ETM+, OLI) were utilized to extract and analyze the lake surface area. The Mann-Kendall correlation was applied to examine whether hydro-meteorological and anthropogenic variables are possible causes for changes.</p></div><div><h3>New Hydrological Insights for the Region</h3><p>MNDWI outperforms other indices with over 96 % accuracy in mapping lake surface area. Lake Abiyata experienced the most significant reduction in surface area from 1986 to 2020 (&gt;50 %), followed by Lake Ziway (&lt;2 %) while Lake Langano remained relatively stable. This significant reduction positively correlates to alterations in lake water depth (R²=0.92). Factors such as increased temperature, evaporation, and water abstraction for soda ash production negatively correlated with lake surface area, while inflow from Bulbula River and mean annual rainfall showed positive correlations. Abiyata Lake's decrease in surface area is primarily attributed to water abstraction for soda-ash manufacturing and incoming river flow. If the current trends in water abstraction from the Lake and income water diversion continue, there is a high possibility that Lake Abiyata will change into a terminal lake shortly.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002118/pdfft?md5=5339f65a4c5dc7f262f1821e3d68906e&pid=1-s2.0-S2214581824002118-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141487126","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":"Using supervised machine learning for regional hydrological hazard estimation in metropolitan France","authors":"Qifan Ding,&nbsp;Patrick Arnaud","doi":"10.1016/j.ejrh.2024.101872","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101872","url":null,"abstract":"<div><h3>Study region</h3><p>This study is carried out for 1929 gauged catchments in France, ranging from 1 to 10,000 km², where quality hydrometric observations are available for flood frequency analysis.</p></div><div><h3>Study focus</h3><p>The regional estimation of hydrological hazards is studied for flood risk management and prevention in hydrology. For gauged catchments, flow quantiles can be estimated from observations using statistical approaches based on suitable probability distributions or simulation approaches based on rainfall-runoff transformation models. For ungauged catchments, the lack of hydrological observations means that we have to extrapolate our knowledge of hazards from gauged catchments to ungauged catchments, using regionalization methods. It is therefore necessary to combine regionalization methods with the implemented hazard estimation approach. In this paper, two popular machine learning methods, Random Forest and Neural Networks, are tested and compared as regionalization methods. A classical regionalization method using multiple linear regression is also applied as a benchmark to evaluate the performance of all configurations. All these regionalization methods are applied to a simulation-based approach (the SHYREG method) and to a statistical-based approach using generalized extreme value distribution (GEV).</p></div><div><h3>New hydrological insights</h3><p></p><ul><li><span>•</span><span><p>Regionalization approaches based on multiple linear regression have limitations to explain parameters with environmental descriptors in Regional Flood Frequency Analysis (RFFA) domain.</p></span></li></ul><ul><li><span>•</span><span><p>Regionalizing RFFA parameters using Random Forest allows more explanatory variables to be considered through non-linear relationships, resulting in better parameter estimation.</p></span></li></ul><p></p><ul><li><span>•</span><span><p>Machine learning techniques can better handle environmental descriptors for regionalization, this providing a notable performance improvement, especially for the statistical approach.</p></span></li></ul><ul><li><span>•</span><span><p>The tested simulation-based approach is less sensitive to the choice of spatial interpolation method than the studied statistical approach.</p></span></li></ul></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002209/pdfft?md5=faec473c186362781cbf896606b11f35&pid=1-s2.0-S2214581824002209-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141438218","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":"Downscaling and validating GLDAS groundwater storage anomalies by integrating precipitation for recharge and actual evapotranspiration for discharge","authors":"Cindy Viviers ,&nbsp;Michael van der Laan ,&nbsp;Zaheed Gaffoor ,&nbsp;Matthys Dippenaar","doi":"10.1016/j.ejrh.2024.101879","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101879","url":null,"abstract":"<div><h3>Study region</h3><p>The Steenkoppies Catchment is located approximately 75 km southwest from Pretoria, South Africa (RSA).</p></div><div><h3>Study focus</h3><p>This study tested a framework for downscaling Global Land Data Assimilation System (GLDAS-2.2) groundwater storage anomaly (GWSA) estimates from 0.25° to 0.05°. This was achieved in Google Earth Engine using the Random Forest algorithm with only precipitation and actual evapotranspiration (ET_a) as input variables. Additionally, the study assessed whether accounting for temporal lags could minimise residuals and enhance model performance.</p></div><div><h3>New hydrological insights for the region</h3><p>The greater range of downscaled GWSA values indicated that the product effectively captured local recharge (precipitation) and discharge (ET_a) variations while maintaining conservation of mass. Optimising the temporal correlation (<em>r</em>) between input variables resulted in lower residuals and fewer outliers. Groundwater level measurements and downscaled estimates for the hard rock aquifer showed larger amplitudes and seasonality and yielded the highest <em>r</em> (0.6) and lowest RMSE (40 mm) and MAE (31 mm). Measurements near the spring and in the karst aquifer showed less evident amplitude and seasonality. The <em>in situ</em> derived and downscaled GWSA comparison demonstrated the effectiveness of the product for monitoring storage declines. When applied over aquifers experiencing significant land use change or below-average precipitation, the approach could monitor groundwater storage changes, even with limited <em>in situ</em> observations. The adaptable code is available for application in other study areas.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002271/pdfft?md5=679d5a060fe6e60a6b9b23ebd6c094d5&pid=1-s2.0-S2214581824002271-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141438217","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":"Effects of changes in precipitation patterns and stream flow on stream DOC and NO3− concentrations in a headwater catchment in a subtropical region of southern China","authors":"Wenya Zhang,&nbsp;Guoping Tang,&nbsp;Xiaohua Chen,&nbsp;Yangbo Yu,&nbsp;Yi Li","doi":"10.1016/j.ejrh.2024.101867","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101867","url":null,"abstract":"<div><h3>Study region</h3><p>The Guantian headwater watershed is located in the subtropical region of South China.</p></div><div><h3>Study focus</h3><p>This study examined how changes in precipitation and consequent shifts in streamflow affect dissolved organic carbon (DOC) and nitrate (<span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span>) concentrations in a headwater stream.</p></div><div><h3>New hydrological insights for the region</h3><p>The results indicate that stream DOC and <span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span> concentrations decrease from spring to winter (0.16 mg/L/month for DOC and 0.18 mg/L/month for <span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span>) and have a generally positive relationship with streamflow (p &lt; 0.05). Changes in precipitation-concentration, precipitation-amount and consequent shifts in streamflow remarkably affect stream DOC and <span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span> concentrations. When precipitation events are more heavily concentrated (when precipitation concentration index (PCI) changed from 12.81 to 18.33) from May to July, the stream DOC and <span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span> concentrations tend to increase from May to July but decrease before and after this period. In addition, an increase in precipitation-amount tends to increase stream DOC and <span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span> concentrations before the occurrence of peak flow and in the dry period from September to December, but decreases them in the wet period from June to September. When the precipitation-amount decreases, the trend of the change in concentration is exactly the opposite. These findings suggest that stream DOC and <span><math><mrow><mi>N</mi><msubsup><mrow><mi>O</mi></mrow><mrow><mn>3</mn></mrow><mrow><mo>−</mo></mrow></msubsup></mrow></math></span> concentrations in the headwater stream are highly chemodynamic: they are transport-limited before the occurrence of high flow and in the dry period from September to December, while they are supply-limited in the June-September period.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002155/pdfft?md5=42d7c54bde30aaef9a915467a2d4fe4e&pid=1-s2.0-S2214581824002155-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141438102","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":"Flood risk assessment in arid and semi-arid regions using Multi-criteria approaches and remote sensing in a data-scarce region","authors":"Mohamed Adou Sidi Almouctar ,&nbsp;Yiping Wu ,&nbsp;Shantao An ,&nbsp;Xiaowei Yin ,&nbsp;Caiqing Qin ,&nbsp;Fubo Zhao ,&nbsp;Linjing Qiu","doi":"10.1016/j.ejrh.2024.101862","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101862","url":null,"abstract":"<div><p>Flooding is a natural disaster that poses a threat to both people and the environment, necessitating proactive assessment and mitigation strategies to protect vulnerable communities and ecosystems. These measures are necessary to reduce the risk of flooding and moderate the impact of rainfall. In this study, an Analytical Hierarchy Process (AHP) was used to evaluate flood risk in a data-limited region by integrating Remote Sensing (RS) and Geographic Information System (GIS) methods. The study identified several key flood risk indicators, including topographic wetness index, elevation, slope, land cover, precipitation, distance to river, distance to road, and NDVI. The flood risk map had a score range of 8.71–30.99 %, with higher scores indicating a greater susceptibility to flooding. These scores were then used to classify the flood risk into five categories: very low, low, moderate, high, and very high. The percentages of regions falling into each category were 8.71 %, 23.52 %, 30.99 %, 22.68 %, and 14.09 % respectively. The area under the Curve (AUC) approach was used to validate the flood risk map, which showed a high degree of accuracy (0.86). The results of this study provide valuable insights for monitoring, and forecasting the probability of floods in the Dosso Region.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002106/pdfft?md5=9bc981e26ab20128bd37bfbd3f61145f&pid=1-s2.0-S2214581824002106-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434082","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":"Unravelling groundwater budget in the Poyang floodplain system under intensifying seasonal lake inundation","authors":"Wenyu Jiang ,&nbsp;Bo Liu ,&nbsp;Yunliang Li ,&nbsp;Wei Li ,&nbsp;Jing Chen ,&nbsp;Yueping Deng ,&nbsp;Chengpeng Lu ,&nbsp;Longcang Shu","doi":"10.1016/j.ejrh.2024.101866","DOIUrl":"https://doi.org/10.1016/j.ejrh.2024.101866","url":null,"abstract":"<div><h3>Study region</h3><p>Poyang Lake Plain at the south bank of the middle Yangtze River</p></div><div><h3>Study focus</h3><p>The dynamics of the groundwater budget, prominently driven by the surface water-groundwater interaction, present significant challenges for water resources and the eco-environment in extensive river-lake-floodplain systems. This research utilizes a groundwater flow model through the application of the MODFLOW-NWT numerical simulator, aiming to explore the patterns of exchange between surface water and groundwater due to intensive seasonal lake inundation, and its consequential impact on the annual and seasonal groundwater storage within the vast Poyang Lake floodplain, China.</p></div><div><h3>New hydrological insights for the region</h3><p>Simulation results indicate that the change in groundwater storage during the dry year (i.e., –24.96×10⁷ m³/yr in 2022) has decreased by 186.35×10⁷ m³ compared to the wet year (i.e., 161.38×10⁷ m³/yr in 2020). The contribution of surface water infiltration is approximately 45 % of the regional groundwater budget during wet seasons, and groundwater discharge into surface waterbodies accounts for over 60 % of the groundwater budget during dry seasons. The lake infiltration during wet years is approximately 3 times that in dry years, and the flow of infiltrated lake water into plain aquifers is approximately 5 times that in dry years. The present study contributes significant knowledge regarding the impact of intensifying seasonal inundation on variations in regional groundwater budget in large lake-aquifer system.</p></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214581824002143/pdfft?md5=f79f67edab9ba257c1c4910df80959ce&pid=1-s2.0-S2214581824002143-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141424330","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}