{"title":"Predictive modeling of fluoride and nitrate health risks using artificial neural networks","authors":"Sidique Gawusu , Mahamuda Abu","doi":"10.1016/j.gsd.2025.101464","DOIUrl":"10.1016/j.gsd.2025.101464","url":null,"abstract":"<div><div>The health risk associated with high levels of fluoride (F<sup>−</sup>) and nitrate (NO<sub>3</sub><sup>−</sup>) in groundwater is making groundwater unsafe for drinking globally. This concern has justified a continuous study and health risk assessment of groundwater. High levels of F<sup>−</sup> and NO<sub>3</sub><sup>−</sup> have been reported in some parts of the Bole District of Ghana. However, their health risks are unknown. Hence, the study assesses the health risks of F<sup>−</sup> and NO<sub>3</sub><sup>−</sup> using indexical proxies and machine learning techniques. Hydrochemical analysis reveals that while most parameters meet WHO standards, elevated fluoride, nitrate, and total dissolved solids (TDS) levels are present in certain communities. Fluoride risk classification shows that 83.3 % of the area faces very low risk, but 3.3 % is exposed to extreme fluoride risk. Health risk assessments using hazard quotient (HQ) indicate that adults are more vulnerable to fluoride exposure, with 53.3 % of samples exceeding safe levels, while 40 % of children are at risk from nitrate contamination. An artificial neural network (ANN) model was used to predict health risks associated with fluoride and nitrate exposure. The model performed well for fluoride predictions, achieving R<sup>2</sup> values above 0.97 for both training and testing datasets. However, its performance was less reliable for nitrate predictions, particularly for children, where the testing R<sup>2</sup> dropped to 0.60. Sensitivity analysis identified SO<sub>4</sub><sup>2−</sup>, Cl<sup>−</sup>, Na<sup>+</sup>, and Mg<sup>2+</sup> as key ions influencing health risk predictions. These results highlight the need for stricter regulation of groundwater sources in high-risk areas and the promotion of low-cost water treatment technologies to mitigate contamination.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101464"},"PeriodicalIF":4.9,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143946712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chunli Su , Weili Ge , Xianjun Xie , Zhihao Guo , Zhaohui Luo , Yiqun Gan , Ziyi Xiao , Yanhui Gao , Yanmei Yang
{"title":"Prediction and controlling factors of high-fluoride groundwater in the Yellow River Basin based on machine learning model","authors":"Chunli Su , Weili Ge , Xianjun Xie , Zhihao Guo , Zhaohui Luo , Yiqun Gan , Ziyi Xiao , Yanhui Gao , Yanmei Yang","doi":"10.1016/j.gsd.2025.101458","DOIUrl":"10.1016/j.gsd.2025.101458","url":null,"abstract":"<div><div>Long-term consumption of high-fluoride water (F > 1.5 mg/L) has significant negative effects on human health. In the Yellow River Basin of northern China, fluorosis resulting from geogenic groundwater fluoride contamination has been observed in several basins. In this study, the machine learning algorithm regression modeling was employed to predict the distribution of high-fluoride groundwater and potential population at risk using 30337 groundwater samples and 40 relevant environmental factors, with random forest (RF) was identified as the optimal algorithm. The model incorporated various environmental factors, including hydrogeology, climate, soil, topography, and human activities and the model performed well, with the value of AUC of 0.86. The climatic variables were identified as the primary factors influencing the model based on the ranking of their importance. The probability distribution map with a resolution of 250 m drawn from the modelling results shows that high-fluoride groundwater is mainly distributed within the basins, Loess Plateau, the front edge and the southern part of the Yellow-Huai-Hai River Plain (also known as North China Plain). The climate plays a vital role in regulating the distribution patterns of high-fluoride groundwater. Based on different probability cut-off values, it is estimated that approximately 7.307 and 8.899 million people in the study area may be at risk of direct consumption of fluoride-contaminated groundwater. High-fluoride groundwater primarily occurs in shallow pore aquifers of alluvial plains. Fine-grained sediments with high clay content and high levels of cations with exchangeable sites favor the enrichment of fluoride in groundwater. Alluvial and alkaline soils exhibit significant impacts on the enrichment of fluoride. Significant temperature differences and uneven precipitation are the main climatic factors affecting fluoride enrichment in groundwater. This study helps to enhance the understanding of the spatial differentiation and driving mechanism of high-fluoride groundwater, and provides a scientific basis for preventing endemic fluorosis and ensuring water supply security.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101458"},"PeriodicalIF":4.9,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bio Guidah Chabi , Huguette C. Emvoutou , Valérie D.O. Kotchoni , Abdoukarim Alassane , Iboukoun Christian Alle , Maxime Wubda , Moussa Boukari
{"title":"Quantitative assessment of groundwater discharge using hydrograph separation and spring discharge in the Ouémé valley, southern Benin","authors":"Bio Guidah Chabi , Huguette C. Emvoutou , Valérie D.O. Kotchoni , Abdoukarim Alassane , Iboukoun Christian Alle , Maxime Wubda , Moussa Boukari","doi":"10.1016/j.gsd.2025.101459","DOIUrl":"10.1016/j.gsd.2025.101459","url":null,"abstract":"<div><div>Groundwater is the primary source of freshwater for drinking, agricultural water, and industrial in many nations worldwide. Understanding the interaction between groundwater and river is vital for the sustainable management of water resources. This study aims to evaluate groundwater discharge into two major rivers in coastal sedimentary basin. Water samples were collected from two rivers, rainfall, boreholes and springs, for the determination of stable isotopes. The streamflow of the two rivers is measured monthly. Springs have also been inventoried and their flow rates quantified. The isotopic signatures of the two rivers are of the same range and vary greatly from dry to rainy season (−1.32 ‰ to −3.85 ‰ for <sup>18</sup>O and −7.56 ‰ to −21.13 ‰ for <sup>2</sup>H), unlike that of groundwater and springs (−3.10 ‰ to −3.13 ‰ for <sup>18</sup>O, −15.51 ‰ to −15.64 ‰ for <sup>2</sup>H). The water level in the well is 4m above the river level in dry season, and decreases to 1.5 m in the rainy season. Groundwater discharge based on the isotopic hydrograph separation was 0–96.67 m<sup>3</sup>/s and 0.74–43.69 m<sup>3</sup>/s in Ouémé Stream and Sô River, respectively. The analysis reveals that groundwater maintains the base flow of streams in the dry season and also contributes to rivers flow in the rainy season. However, rain water is the dominant water source in rainy season. In addition, 75 springs inventoried in the valley discharge in totally more than 221 m<sup>3</sup>/h in the rivers. Hence, combining stable isotopes composition hydrometric observations and springs flow, provides an efficient method for estimating groundwater discharge rates into rivers.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101459"},"PeriodicalIF":4.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Despoina Charchousi , Gkeralnto Kolitsi , Nikolaos K. Mellios , Maria P. Papadopoulou
{"title":"Mapping groundwater dependent ecosystems potential for sustainable management of aquifers","authors":"Despoina Charchousi , Gkeralnto Kolitsi , Nikolaos K. Mellios , Maria P. Papadopoulou","doi":"10.1016/j.gsd.2025.101457","DOIUrl":"10.1016/j.gsd.2025.101457","url":null,"abstract":"<div><div>Groundwater dependent ecosystems (GDEs) mapping is critical to optimize their management and to preserve the related services. The effective use of cutting-edge technologies such as Geographic Information Systems (GIS) and remote sensing technologies is extensively proposed to facilitate GDEs mapping. This study introduces a comprehensive GDEs mapping methodology that integrates GIS and remote sensing with a multi-criteria analysis (MCA) approach. The proposed methodology aims to enhance the practicality of the existing MCA-based GDEs mapping approaches by (a) identifying a set of criteria that account for the interdependence and complementarity of inputs, and (b) specifying criteria weights via objective weighting methods to eliminate the subjective influence of experts’ opinion. A coherent set of criteria is proposed as input to the developed MCA model, following a correlation assessment across a large set of parameters related to GDEs occurrence. The criteria weights are specified based on four of the most common objective weighting techniques—Mean Weight, Standard Deviation, entropy, and Criteria Importance Through Intercriteria Correlation. The proposed methodology is implemented in Chania Plain, Greece, an agricultural area characterized by a significant number of springs and a complex network of streams. The results have been validated at 13 springs; the majority of springs locations have been characterized as high to very high GDEs potential zones, with CRITIC to be proved as the most suitable weighting method. The validation results highlight the suitability of the proposed set of input criteria to reliably map GDEs in a practical, time-efficient, and cost-effective manner.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101457"},"PeriodicalIF":4.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monali Priyadarshini , Azhan Ahmad , Mohd Salim Mahtab , Saif Ullah Khan , Izharul Haq Farooqi , Norma Pérez
{"title":"Natural engineering approaches for the removal of per- and poly-fluoroalkyl substances from aquatic environment: A review","authors":"Monali Priyadarshini , Azhan Ahmad , Mohd Salim Mahtab , Saif Ullah Khan , Izharul Haq Farooqi , Norma Pérez","doi":"10.1016/j.gsd.2025.101465","DOIUrl":"10.1016/j.gsd.2025.101465","url":null,"abstract":"<div><div>Per-and poly-fluoroalkyl substances (PFAS) are a family of fluorinated artificial chemicals manufactured substantially for commercial and industrial uses in recent decades due to their remarkable hydrophobicity and stability. The PFAS contains numerous carbon-fluorine linkages, making them highly resilient to chemical and biological destruction. Conventional water and wastewater treatment plants do not effectively remove PFAS; as a result, PFAS make their way to aquatic ecosystems. Significant attempts have been made in the past few years to develop efficient techniques for removing PFAS. For instance, methods such as thermal treatment, adsorption, filtration, chemical oxidation, and reduction have significant drawbacks, including high cost, excessive use of energy, and unsuitable for <em>in-situ</em> treatment. The current review emphasized the suitability of natural engineering techniques, such as fungal and algae degradation, microbial bioremediation, constructed wetlands, bio-electrochemical techniques, and green adsorption methods for removing PFAS. This review covers the specific mechanism, removal efficiency, and pros and cons of each technology. A thorough economic analysis and the pilot-scale investigations are also presented at the end. Further details regarding the existing obstacles to the field's implementation along with future research directions for each technology, are provided. Overall, this paper provides an in-depth and up-to-date review for industry experts and researchers in this field that could facilitate easy access to knowledge and valuable insights into research possibilities.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101465"},"PeriodicalIF":4.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fluoride removal from groundwater by a wide range of nanoparticles: Identification of selective nanoparticle and interfering water quality parameters","authors":"Vijesh Prajapat, Trishikhi Raychoudhury","doi":"10.1016/j.gsd.2025.101454","DOIUrl":"10.1016/j.gsd.2025.101454","url":null,"abstract":"<div><div>Fluoride (F<sup>−</sup>) contamination in drinking water is a major problem in many parts of the world. In India, millions of people are exposed to F<sup>−</sup> contamination. Thus, it is important to assess the regional groundwater quality and the performance of potential nanoparticles (NPs) in removing F<sup>−</sup> under those natural groundwater conditions. The objectives of this study were (i) to assess the regional groundwater quality of F<sup>−</sup> contaminated zones, (ii) to evaluate the performance of different metallic NPs in removing F<sup>−</sup> and identify the promising NPs under natural groundwater conditions, and (iii) to identify the groundwater quality parameters impacting the performance of NPs. To achieve the objective, the groundwater samples are first collected from a few districts within Rajasthan, India, and then the water quality parameters are assessed. A series of experiments are conducted to evaluate the F<sup>−</sup> removal efficiencies by a wide range of NPs under both de-ionized (DI) water and natural groundwater conditions. The outcome of this study indicates that the groundwater in most of the water samples in the region is unfit for consumption as it exceeds the permissible limits (Bureau of Indian Standards, BIS) for total dissolved solids (TDS, 2035 mg/L), hardness (699 mg/L), alkalinity (504 mg/L) and F<sup>−</sup> (3.56 mg/L) concentration. The performance of NPs in removing F<sup>−</sup> (as sorption capacity, mg/g) follows the order of nAl<sub>2</sub>O<sub>3</sub> ∼ nZnFe<sub>2</sub>O<sub>4</sub> > nZnO ∼ nMgO.Al<sub>2</sub>O<sub>3</sub>> nMgO > nCeO<sub>2</sub> > nLa<sub>2</sub>O<sub>3</sub>> nAlCeO<sub>3</sub>> nFe<sub>2</sub>O<sub>3</sub> ∼ nAl<sub>2</sub>TiO<sub>5</sub> > n(CeO<sub>2</sub>).(ZrO<sub>2</sub>) under DI water conditions. However, under F<sup>−</sup> contaminated natural groundwater, nLa<sub>2</sub>O<sub>3</sub> nanoparticle shows promising performance with reasonable sorption capacity (11.12 ± 2.0 mg/g). Amongst the water quality parameters, Ca<sup>2+</sup>, Mg<sup>2+</sup>, hardness and TDS have the most adverse effect on F<sup>−</sup> sorption. The lower value of F<sup>−</sup> concentration in the groundwater is another factor limiting the F<sup>−</sup> sorption capacities. In summary, it could be inferred that nLa<sub>2</sub>O<sub>3</sub> is a promising NP, which could be applied in different forms in water filters for F<sup>−</sup> removal from natural conditions. Moreover, pre-treatment of raw water for TDS and hardness reduction might be necessary. Overall, the study aims to control drinking water quality by targeting F<sup>−</sup> contamination, especially under water-stressed semi-arid regions, which is aligned with the SDGs of Clean Water and Sanitation (SDG 6) and Good Health and Well–Being (SDG 3).</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101454"},"PeriodicalIF":4.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The efficiency of Iran's sectoral policies through the lens of GEFL (Groundwater Energy Food Land) Nexus in comparison with the sectoral view","authors":"Atena Mirzaei , Bahram Saghafian , Alireza Nouri , Mohamadreza Fadaei Tehrani","doi":"10.1016/j.gsd.2025.101445","DOIUrl":"10.1016/j.gsd.2025.101445","url":null,"abstract":"<div><div>In Middle Eastern countries, water security is a major concern due to arid and warm climates. In Iran, water supply challenges have led to the adoption of National Policy Statements targetting sustainable water resources management. While these policies span the energy, food, and land, i energy, food, and land sectors;, their interdependencies have not been comprehensively assessed. This study evaluates the effectiveness of Iran's sectoral policies through the Groundwater-Energy-Food-Land Nexus framework. A conceptual model is developed to compare outcomes under Nexus-based and sectoral priority approaches. Four scenarios were assessed, including programmable groundwater volume limitation, unauthorized groundwater and electric energy consumption prevention, cultivation patterns, and routine groundwater abstraction. Scenario 3 achieves 100 % of the food target but requires 51 % more groundwater and 11 % more energy than sustainable limits. Scenario 2 meets 52 % of the food target while adhering to groundwater limits but exceeds energy consumption by 22 %. Scenario 1 supplies 92 % of the food target but surpasses groundwater and energy limits by 12 % and 7 %, respectively. Scenario 4, the most sustainable option, produces 60 % of the food target while maintaining groundwater and energy sustainability. These findings underscore the necessity of integrated, cross-sectoral policy frameworks to balance resource sustainability with development objectives in arid regions.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101445"},"PeriodicalIF":4.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Collins Kissi Asante-Sasu , Jon Turk , Seann McClure , Alexandra McLarty
{"title":"Variations in vulnerability across aquifer layers in a heterogeneous aquifer system","authors":"Collins Kissi Asante-Sasu , Jon Turk , Seann McClure , Alexandra McLarty","doi":"10.1016/j.gsd.2025.101456","DOIUrl":"10.1016/j.gsd.2025.101456","url":null,"abstract":"<div><div>The Columbia Plateau Regional Aquifer System (CPRAS) is a layered basalt aquifer system that underlies the Columbia River Basin in Washington, Oregon, and Idaho. The CPRAS covers a large spatial area and is undergoing water level declines that threaten water supply. It supports agriculture, economic development, and ecological systems. The heterogeneity of the aquifer system means each aquifer layer is experiencing different levels of groundwater storage change even at the same location. The goal of this study is to evaluate the magnitude and spatial variability of groundwater declines and vulnerability across the aquifer layers. We computed groundwater level trends using the Sen Slope estimator, in each aquifer layer and by subareas in the Washington portion of the CPRAS. The trends are projected into the future and combined with changes in available drawdown to evaluate groundwater vulnerabilities in the present (2020) and the future (2040) for each aquifer layer. The vulnerability assessment only uses trends that are statistically significant at a 95 % confidence level based on the Mann-Kendall test. The largest groundwater level declines were observed in the Grande Ronde aquifer layer, with a mean decline of 1.86 ft/yr, followed by the Wanapum aquifer layer with a mean decline of 1.61 ft/yr. Declines within the Saddle Mountains and Overburden layers are an order of magnitude smaller, with mean declines of 0.56 ft/yr and 0.22 ft/yr, respectively. Although there were higher groundwater level declines in the Grande Ronde layer, the available drawdown of this layer is greater, leading to lower levels of vulnerability. However, in the Overburden layer, the available drawdown is small, driving higher groundwater vulnerability. Evaluating groundwater vulnerability based on the available drawdown rather than total aquifer saturated thickness gives a more realistic assessment of vulnerability because groundwater below well depths is not accessible without infrastructure changes.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101456"},"PeriodicalIF":4.9,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quentin Marc Anaba Fotze , Marcelin Bikoro Bi Alou , Anatole Eugene Djieto Lordon , Jean Paul Sep Nlomngan , Amina Aboubakar , Didier Jean Blaise Haman , Abdoul Aboubakar , Frederic Mounsi , Bello Mohaman , Lydie Konga , Steeve Kamdjip Mouyomou
{"title":"Discrimination of potential groundwater areas using remote sensing, gravity and aeromagnetic data in Rey Bouba and environs, North Cameroon","authors":"Quentin Marc Anaba Fotze , Marcelin Bikoro Bi Alou , Anatole Eugene Djieto Lordon , Jean Paul Sep Nlomngan , Amina Aboubakar , Didier Jean Blaise Haman , Abdoul Aboubakar , Frederic Mounsi , Bello Mohaman , Lydie Konga , Steeve Kamdjip Mouyomou","doi":"10.1016/j.gsd.2025.101455","DOIUrl":"10.1016/j.gsd.2025.101455","url":null,"abstract":"<div><div>Groundwater exploration is required in semi-arid to arid areas especially where the public water supply network is not available due to the lack of funds. The National Development Strategy of Cameroon 2020–2030 (NDS30) highly supports the sustainable development of each region from its own natural resources. In this regard, this study aims at the identification of potential groundwater resources from the application of Analytic Hierarchy Process (AHP) to remote sensing, gravity and aeromagnetic data in Rey Bouba and Environs. First and foremost, several critical parameters such as surface line density, gravity line density, magnetic line density, drainage density, slope, rainfall, topographic wetness index, topographic roughness index, soil, land use land cover and normalized digital vegetation index, were generated, assigned weights and merged to obtain the groundwater potential of the study area. As a result, 24.8 % of the study area exhibits very low and low groundwater potential while 71.93 % of the study area has moderate groundwater potential water. High and very high groundwater potential zones cumulate 3.27 % of the research area. Accordingly, considerable potential groundwater resources were identified in the vicinity of Sagdje, Bandjoukri, and Tchollire. The correlation of existing wells with the groundwater potential map shows that most productive wells are connected with moderate groundwater potential zones while most unproductive wells are linked to low groundwater potential areas. Furthermore, 3 profiles extracted from the potential field data were used to realize the 2D geological modeling. Hence, the subsurface geological architecture of the study area shows that the depth to the top of the basement or the depth to the bottom of the sedimentary cover varies from 100 to 2600 m, 100–2700 m and 0–1400 m for profiles P<sub>1</sub>, P<sub>2</sub>, and P<sub>3</sub>, respectively.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101455"},"PeriodicalIF":4.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faten Jarraya-Horriche , Wolfgang Bogacki , Lobna Triki
{"title":"Assessment of the effectiveness of a hydraulic barrier against seawater intrusion in a coastal aquifer – the case study of Mornag aquifer","authors":"Faten Jarraya-Horriche , Wolfgang Bogacki , Lobna Triki","doi":"10.1016/j.gsd.2025.101451","DOIUrl":"10.1016/j.gsd.2025.101451","url":null,"abstract":"<div><div>Seawater intrusion (SWI) is a common threat in costal aquifers. This paper presents results of a study on the present situation of SWI in the Mornag coastal aquifer and the design of a hydraulic barrier by artificial groundwater recharge using injection wells to protect the aquifer from further SWI. A combination of a 3D regional groundwater flow model and two vertical 2D density-dependent mass-transport models, both developed with FEFLOW, is used to study different variants.</div><div>Field investigations as well as model simulations confirm that currently seawater has already advanced into the aquifer to a distance of approx. 3 km from the coastline compared to the natural position at about 1 km from the sea. Without implementation of the hydraulic barrier and an ongoing groundwater overexploitation, the 3 g/l isohaline will reach the planned location of the barrier in about 25 years. According to the predictive model simulations, all analyzed operation variants can control the saline front at the current position. The required average annual injection volume to control SWI is about 6–7 million cubic meters per year.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"30 ","pages":"Article 101451"},"PeriodicalIF":4.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}