Journal of Hydrology-Regional Studies最新文献

{"title":"Estimating groundwater recharge across Africa during 2003–2023 using GRACE-derived groundwater storage changes","authors":"Vagner G. Ferreira ,&nbsp;Hao Yang ,&nbsp;Christopher Ndehedehe ,&nbsp;Hongyan Wang ,&nbsp;Ying Ge ,&nbsp;Jia Xu ,&nbsp;Min Xia ,&nbsp;Ikechukwu Kalu ,&nbsp;Miao Jing ,&nbsp;Nathan Agutu","doi":"10.1016/j.ejrh.2024.102046","DOIUrl":"10.1016/j.ejrh.2024.102046","url":null,"abstract":"<div><h3>Study Region:</h3><div>Africa, with its diverse climatic zones from the humid Congo Basin to the arid Sahara Desert, where groundwater is influenced by climate variability, land use, and human activities.</div></div><div><h3>Study Focus:</h3><div>The main objective is to estimate groundwater recharge across Africa from 2003 to 2023 using a novel approach that uses GRACE-derived groundwater storage changes.</div></div><div><h3>New Hydrological Insights for the Region:</h3><div>This study provides new insights into the spatial patterns and temporal variability of groundwater recharge across Africa, highlighting the influence of climate variability on the continent’s groundwater resources. Key findings include distinct regional differences in recharge, with higher values in humid regions like the Congo Basin and lower values in arid regions like the Sahara Desert. Substantial interannual variability in recharge is largely driven by year-to-year variations in precipitation and modulated by major modes of climate variability, especially the Pacific Decadal Oscillation. The sensitivity of groundwater recharge to hydroclimatic extremes, with droughts causing significant declines and wet periods leading to above-average replenishment. Regions with low recharge rates or high variability, such as Northern Africa, are particularly vulnerable to climate change impacts and unsustainable groundwater abstraction. The findings emphasize the need for sustainable groundwater management strategies that consider the spatial and temporal variability of recharge, as well as the potential impacts of climate change on groundwater resources.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102046"},"PeriodicalIF":4.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578084","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":"Attribution analysis of hydrological drought after the impoundment of the Danjiangkou reservoir in the Hanjiang River Basin","authors":"Cheng Li ,&nbsp;Yanping Qu ,&nbsp;Tianliang Jiang ,&nbsp;Furen Jiang ,&nbsp;Qianfeng Wang ,&nbsp;Xuejun Zhang ,&nbsp;Xiaohua Xu","doi":"10.1016/j.ejrh.2024.102038","DOIUrl":"10.1016/j.ejrh.2024.102038","url":null,"abstract":"<div><h3>Study region</h3><div>Hanjiang River Basin, China</div></div><div><h3>Study focus</h3><div>Under the joint influences of human activities and climate change, droughts frequently occur in the Hanjiang River Basin (HRB). Quantifying the driving forces contribution on hydrological drought is crucial to enhance the early warning ability. This study employed the standardized streamflow index (SSI) to assess hydrological drought. The Soil and Water Assessment Tool (SWAT) model was utilized to reconstruct natural streamflow based on hydrological and meteorological data. By comparing the variations of drought characteristics in simulated and observed scenarios, the impacts of human activities and climate change to hydrological drought were quantified.</div></div><div><h3>New hydrological insights for the study region</h3><div>The SWAT model is capable of effectively simulating the natural streamflow conditions of the HRB with NSE&gt;0.7, R²&gt;0.8, logNSE&gt;0.7 and |PBIAS|&lt;20 %. Hydrological drought has intensified as a prolonged duration and greater severity affected by human activities and climate change. During the whole impact period (1968–2022), the duration and severity increased by 66.22 % and 81.16 % compared to baseline period (1956–1967). The year 1991 is detected as the mutation point. From 1968–1990 climate change has been the main factor in exacerbating hydrological drought. Since 1991, the influence of human activities has gradually exceeded the influence of climate change. These findings provide valuable insights for watershed integrated water resources management and water security.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102038"},"PeriodicalIF":4.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578085","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":"Evaluation of national and international gridded meteorological products for rainfall-runoff modelling in Northern Italy","authors":"Gökhan Sarigil,&nbsp;Mattia Neri,&nbsp;Elena Toth","doi":"10.1016/j.ejrh.2024.102031","DOIUrl":"10.1016/j.ejrh.2024.102031","url":null,"abstract":"<div><h3>Study region</h3><div>Northern Italy.</div></div><div><h3>Study focus</h3><div>Gridded meteorological products provide spatially-distributed meteorological forcings, facilitating hydrological modeling in large-scale experiments. However, their accuracy, in particular as far as precipitation is concerned, varies considerably in space and time, and rigorous validation of these products is essential before their application. This study conducts a large-scale evaluation of five meteorological datasets in Northern Italy through i) a direct comparison of precipitation and temperature estimates and ii) an indirect validation, assessing their ability to reproduce streamflow when used to force the CemaNeige-GR6J hydrological model. The tested datasets include two gauged-based products, namely SCIA (the reference gridded dataset from the Italian Institute for Environmental Protection and Research) and E-OBS, two products based on reanalyses (the global ERA5-Land and the national MERIDA) and a gauged-corrected global satellite precipitation product (CHIRPS).</div></div><div><h3>New hydrological insights for the region</h3><div>Gauge-based datasets provide the best streamflow simulations when the underlying station density is high: SCIA, based on a uniform and dense gauge network across the entire study area, confirms to be the best choice as the climatic reference dataset, while the use of E-OBS is not recommended in Piedmont due to the low number of stations. In areas with low station density, reanalyses may yield to more accurate results: among reanalysis-based products, the Italian MERIDA dataset outperforms ERA5-Land. Finally, CHIRPS results to be the least accurate precipitation dataset.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102031"},"PeriodicalIF":4.7,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578083","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":"Attribution mechanism of drought propagation time with changes in climate and underlying surface","authors":"Kai Zhou ,&nbsp;Yimin Wang ,&nbsp;Jianxia Chang","doi":"10.1016/j.ejrh.2024.102041","DOIUrl":"10.1016/j.ejrh.2024.102041","url":null,"abstract":"<div><h3>Study region</h3><div>Thirteen catchment regions of the Yellow River basin, located in northern China.</div></div><div><h3>Study focus</h3><div>Drought is a natural phenomenon characterized by a water deficiency that impacts various aspects of the hydrological cycle. Water deficit signals propagate through the hydrological system and are manifested in the sequential occurrence of meteorological drought, agricultural drought, and hydrological drought. The climate and underlying surface continuously influence the propagation of drought. Hence, it is imperative to investigate the attribution mechanism of drought propagation under the influence of climate and underlying surface.</div></div><div><h3>New hydrological insights for the region</h3><div>This study provides a theoretical attribution analysis framework for drought propagation time, including statistical and physical mechanisms. From the point of view of statistical analysis, this study found that the difference between meteorological drought and hydrological drought trend statistics was significantly correlated with the propagation time. And from the analyses of the water-energy coupled equation show that the contribution of climate and underlying surface to runoff was significantly correlated with the propagation time. From the point of view of physical mechanisms, hydrometeorological and underlying surface factors are important variables affecting drought propagation time, and the results of regression analyses provide empirical formulas for drought propagation time. Unlike previous studies, this study delved into the attribution mechanism of drought propagation time through regional comparisons. These findings are expected to be helpful for local drought management efforts and mitigation of associated losses.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102041"},"PeriodicalIF":4.7,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572646","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":"A framework to nowcast soil moisture with NASA SMAP level 4 data using in-situ measurements and deep learning","authors":"Hassan Dashtian ,&nbsp;Michael H. Young ,&nbsp;Bissett E. Young ,&nbsp;Tyson McKinney ,&nbsp;Ashraf M. Rateb ,&nbsp;Dev Niyogi ,&nbsp;Sujay V. Kumar","doi":"10.1016/j.ejrh.2024.102020","DOIUrl":"10.1016/j.ejrh.2024.102020","url":null,"abstract":"<div><h3>Study Region</h3><div>Southeast Texas, USA.</div></div><div><h3>Study Focus</h3><div>NASA's Soil Moisture Active Passive (SMAP) product, particularly the Level 4 (SMAPL4) data, provides high-resolution and extensive coverage of surface and root zone soil moisture (SM), essential for weather and climate research. However, a latency of 2.5–4.0 days in SMAPL4 data limits its real-time hydrologic and weather prediction applications. To address this, we developed a model integrating deep learning (DL) techniques (Long Short-Term Memory, Fully Connected Neural Network) with Principal Component Analysis (PCA) to nowcast SM data in real-time. The model is trained on multi-source SM observations, including near real-time in-situ and satellite data, and deployed over a 56,000+ km² area in southeast Texas.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Our DL methodology nowcasts SM accurately in both time and space through real-time assimilation of multi-source data, mitigating SMAP's latency and offering near real-time soil moisture estimates. The nowcasted SM aligns closely with actual SMAPL4 data, capturing spatial and temporal variations. SMAP underestimates the spatio-temporal variability of soil moisture compared to in-situ data, highlighting the necessity for diverse data integration. The proposed framework can improve the real-time flood and drought monitoring and offers insights for various hydrological applications. Nowcasting error mapping identifies regions with higher uncertainties, guiding future model improvements.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102020"},"PeriodicalIF":4.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572715","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":"Disentangling hydrodynamic drivers of the Southern Venice (Italy) coastal aquifer via frequency decomposition analysis: Insights, challenges, and limitations","authors":"Mattia Gaiolini ,&nbsp;Fabrizio Rama ,&nbsp;Micòl Mastrocicco ,&nbsp;Marta Cosma ,&nbsp;Sandra Donnici ,&nbsp;Luigi Tosi ,&nbsp;Nicolò Colombani","doi":"10.1016/j.ejrh.2024.102039","DOIUrl":"10.1016/j.ejrh.2024.102039","url":null,"abstract":"<div><h3>Study region</h3><div>Shallow coastal aquifer located in the southern part of the Venice lagoon (Italy).</div></div><div><h3>Study focus</h3><div>This study aims to improve the understanding of coastal aquifers’ hydrodynamics by implementing systematic time-series analyses of data. A collection of non-intrinsically consistent time series from hydrological (surface water and groundwater) and meteo-mareographic monitoring networks was obtained from different institutions. Each signal was broken down through a frequency decomposition analysis, isolating the main driving forces to focus on phenomena that occur at different time and spatial scales.</div></div><div><h3>New hydrological insights for the region</h3><div>Results highlighted that the aquifer is highly connected with the Venice lagoon, with a clear fluctuation of piezometric heads induced by tidal major constituents, decreasing landward. Besides, the effects exerted by reclamation canals and pumping stations were also determined and found to increase landward. Despite the relatively simple behaviour of piezometric heads, the groundwater salinity is influenced by additional local factors, like probe depth, wells’ screen length, and vertical salinity distribution along the aquifer. These findings suggested how to make use of limited and sparse data to enhance the conceptual model of coastal aquifer hydrodynamics, while highlighting the limitations of existing monitoring networks. This outcome justified the need for an intrinsically-consistent network of dedicated multi-level samplers to avoid intra-borehole mixing and reliably characterize the groundwater salinity distribution.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102039"},"PeriodicalIF":4.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561255","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":"Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm","authors":"Ahmed Elbeltagi ,&nbsp;Salim Heddam ,&nbsp;Okan Mert Katipoğlu ,&nbsp;Abdullah A. Alsumaiei ,&nbsp;Mustafa Al-Mukhtar","doi":"10.1016/j.ejrh.2024.102043","DOIUrl":"10.1016/j.ejrh.2024.102043","url":null,"abstract":"<div><h3>Study region</h3><div>Chengdu, Wuhan, Chongqing, and Kunming regions in China.</div></div><div><h3>Study focus</h3><div>Accurate estimation of crop water use or actual evapotranspiration (AET) remains a key obstacle in the effective design of irrigation schedules, plans, and design. This is due to the non-linear nature of this phenomenon. To address this issue and guarantee more accurate ET predictions, this study attempts the following: i) to assess the performance of five machine learning (ML) models optimized by the RReliefF algorithm in estimating actual ET values for each month in four Chinese provinces under various agroclimatic conditions; and ii) to select the optimal model based on statistical metrics while minimizing discrepancies between the estimated and actual ET values. AET was estimated using support vector machine (SVM), ensemble bagged and boosted trees, robust linear regression (RLR), and Matern 5/2 Gaussian process regression (M-GPR) models.</div></div><div><h3>New hydrological insights for the region</h3><div>The M-GPR model outperformed the other models and generated the best values for all statistical measures for training and testing stages: <em>R</em>² (0.979, 0.982), RMSE (5.56, 5.09), MAE (3.29,3.16). In comparison, the RLR model exhibited the lowest training and testing performances metrics. The results of this study demonstrate the capacity of the M-GPR model to accurately predict long-term AET values. This model is best suited for further research on AET prediction at the stations under investigation, which could improve irrigation and boost agricultural productivity.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102043"},"PeriodicalIF":4.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561252","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":"A diagnostic framework to reveal future clean water scarcity in a changing climate","authors":"Shanlin Tong ,&nbsp;Rui Xia ,&nbsp;Jie Chen ,&nbsp;Wenpan Li ,&nbsp;Yan Chen ,&nbsp;Chong-Yu Xu","doi":"10.1016/j.ejrh.2024.102040","DOIUrl":"10.1016/j.ejrh.2024.102040","url":null,"abstract":"<div><h3>Study region</h3><div>The Yangtze River basin.</div></div><div><h3>Study focus</h3><div>Clean water scarcity is one of the major constraints for human sustainable development. Previous diagnosis of water scarcity has focus on fluctuations in the amount of water needed by humans, while ignoring the imbalance between water supply and demand that is exacerbated by changes in water quality under the context of climate change. This study proposes a diagnosis framework for clean water scarcity analysis under future climate projections by combining climate and socioeconomic projections, hydrological system, environmental requirement and human water withdrawal simulations, and water quality projections. This framework is demonstrated in analyzing the clean water scarcity for near (2031–2060) and far (2070–2099) futures.</div></div><div><h3>New hydrological insights for the region</h3><div>The results show that by the end of this century, the clean water stress index will decrease substantially, and the number of people potentially threatened by clean water scarcity is expected to decrease from 294.8 million to 159.1 million. Clean water scarcity is expected to ease as freshwater resources increase in the future. Based on scenario simulations, the results further reveal that mitigation measures for clean water scarcity are mainly affected by natural factors in near and far futures. These findings support that the proposed framework can provide a new perspective for assessing and explaining the multifaceted influences of climate change on clean water scarcity.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102040"},"PeriodicalIF":4.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561253","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":"Multi-objective synergy and competition relationship of water and sediment regulation of the Heishanxia reservoir in upstream of the Yellow River Basin","authors":"Jieyu Li ,&nbsp;Hang Li ,&nbsp;Yuanjian Wang ,&nbsp;Gang Liu ,&nbsp;Fei Yang ,&nbsp;Qiang Wang ,&nbsp;Donglin Li","doi":"10.1016/j.ejrh.2024.102045","DOIUrl":"10.1016/j.ejrh.2024.102045","url":null,"abstract":"<div><h3>Study region</h3><div>Heishanxia Reservoir, upstream of the Yellow River Basin.</div></div><div><h3>Study focus</h3><div>The complicated management of the Yellow River Basin stems primarily from an uncoordinated relationship between water and sediment. The un-built Heishanxia Reservoir has been designated as one of seven pivotal projects, and its regulating effect remains to be thoroughly studied. First, nine typical inflow water and sediment scenarios were constructed based on probability inference. Then, a multi-objective water and sediment regulation model of Heishanxia Reservoir was established with the objectives of maximum erosion quantity (EQ) of the channel, maximum ecological satisfaction rate (ESR), and maximum power generation (PG). Finally, the multi-dimensional regulating effect was revealed, and the synergy-competition relationships among EQ, ESR and PG were analyzed.</div></div><div><h3>New hydrological insights for the region</h3><div>The operation of Heishanxia can increase the discharge during the flood season in the downstream Ning-Meng Channel, and the average annual EQ is 0.19×10⁸ t more than the current condition. Further, the ESR decreases slightly during the high-flow and normal-flow years and increases slightly during the low-flow years. The PG in the upper reaches of the Yellow River has increased by approximately 10 %. Among the three objectives, EQ and ESR, as well as EQ and PG, demonstrate a competitive relationship, whereas ESR and PG exhibit a synergistic relationship. Reservoir inflow plays a major role in the changes of synergy-competition relationship.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102045"},"PeriodicalIF":4.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561254","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":"Hydro-chemical tracers and hydro-chemical modeling assessing groundwater leakage for a karst aquifer in Yarkon-Taninim basin, Israel","authors":"Michael Zilberbrand ,&nbsp;Vladimir Mirlas ,&nbsp;Alexander Gimburg ,&nbsp;Yaakov Anker","doi":"10.1016/j.ejrh.2024.102033","DOIUrl":"10.1016/j.ejrh.2024.102033","url":null,"abstract":"<div><h3>Study region</h3><div>Yarkon-Taninim groundwater basin, Israel.</div></div><div><h3>Study focus</h3><div>A Paleocene-Eocene thermal episode caused an anomaly of barium and silica concentrations in the Eocene aquitard that were used as natural tracers for identifying and quantifying leakage into the Turonian – Upper Cenomanian aquifer through the Senonian-Paleocene (Mount-Scopus Group) strata. Increased concentrations of both Ba²⁺ and SiO₂ in Turonian – Upper Cenomanian aquifer groundwater were supposed to be a sign of downward leakage from the Eocene aquitard. Within the Menashe syncline where these tracers pointed to the leakage, it was estimated by the balance method. Using this estimate, the area-averaged hydraulic conductivity of the intermedium layer was assessed from the Darcy’s law by using this layer thickness and a hydraulic gradient between the Avdat-Group aquitard and the Turonian – Upper Cenomanian aquifer. The calculation and integration of its results over the balance area by a grid with 1×1 km² cells was performed by using the GIS-based ARGUS ONE software. Cl^- and SO₄^2- concentrations in the leakage have been estimated by using the mixing model considering the assessed leakage. PHREEQC software was used for solubility calculation of amorphous silica, quartz and barite at different temperatures, pH and salinities and for calculation of saturation indices of Ba-bearing minerals.</div></div><div><h3>New hydrological insights for the region</h3><div>Previously the Senonian layers within synclines in the Yarkon-Taninim basin, which is the primary source of the groundwater supply in Israel, were supposed to be impermeable. This study has shown that the main leakage is concentrated in the Menashe syncline vicinity north of the Yarkon-Taninim basin. The two tracers first provided a possibility of the leakage assessment within the Menashe syncline: more than 2.3*10⁶ – 11.4*10⁶ m³ yr⁻¹ (leakage rate of 5.4*10⁻⁵ – 2.6*10⁻⁴ m day⁻¹ at the Eocene outcrops of the syncline). The average regional permeability of the Senonian aquiclude within the Menashe syncline was estimated in the range 7.7*10⁻⁵ – 3.8*10⁻⁴ m day⁻¹, essentially higher as compared to the values for the Bet-Govrin syncline. The salinity of the slow leakage was assessed to be low; therefore, it will not damage the high-quality groundwater in the Turonian – Upper Cenomanian aquifer that is exploited for the potable water supply.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"56 ","pages":"Article 102033"},"PeriodicalIF":4.7,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538712","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}