Mahamuda Abu, Johnbosco C. Egbueri, Johnson C. Agbasi
{"title":"加纳Volta湖和Akosombo大坝附近用于饮用和灌溉的地下水质量评估:一种多方法方法","authors":"Mahamuda Abu, Johnbosco C. Egbueri, Johnson C. Agbasi","doi":"10.1007/s12665-025-12174-8","DOIUrl":null,"url":null,"abstract":"<div><p>Monitoring and evaluating groundwater resources is crucial as the rapid pollution challenges confronting surface water resources intensify. Failing to do so could have an adverse impact on various sectors of a nation’s economy. In this study, the groundwater quality of communities within the vicinities of the Volta Lake and Akosombo Dam in Ghana was comprehensively assessed for drinking and irrigation using multi-methodological approach. Standard experimental procedures were followed in the analysis of 107 groundwater samples. The samples showed hydrochemical concentrations in the order: TDS > HCO<sub>3</sub><sup>–</sup> > Na<sup>+</sup> > SO<sub>4</sub><sup>2–</sup> > Mg<sup>2+</sup> > Cl<sup>–</sup> > K<sup>+</sup> > NO<sub>3</sub><sup>–</sup> > CO<sub>3</sub><sup>2–</sup> > F<sup>–</sup>. The pH values were alkaline (> 7.0), indicating ionized groundwaters. A high F<sup>–</sup> concentration (3.8 mg/l) was observed in one sample. Most had acceptable NO<sub>3</sub><sup>–</sup> levels (< 50 mg/l), except in four locations with levels > 80 mg/l, which could lead to chronic diseases. Overall index of pollution (OIP) ranged from 0.10 to 0.92, indicating excellent drinking water. Contrarily, the groundwater samples were categorized as excellent (48.50%), good (49.53%), and poor (1.87%) by the water quality index (WQI). The OIP and WQI consistently ranked the groundwater suitability and their spatial maps showed fewer desirable sources in the western part, while the southeastern part had the best quality water. Groundwater mineralization was influenced by natural processes and human activities, per multivariate statistical analysis. Most irrigation water quality indices indicated unsuitability of majority of groundwater stations for irrigation. For both drinking and irrigation water quality predictions, multilinear regression and artificial neural network models performed well with low model errors and R<sup>2</sup> > 0.90. It was indicated that Na<sup>+</sup> had a major influence on the irrigation water quality prediction. These findings have significant implications for groundwater monitoring and protection, in the region and beyond.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 7","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12665-025-12174-8.pdf","citationCount":"0","resultStr":"{\"title\":\"Groundwater quality assessment for drinking and irrigation uses within the vicinities of Volta Lake and Akosombo Dam in Ghana: a multi-methodological approach\",\"authors\":\"Mahamuda Abu, Johnbosco C. Egbueri, Johnson C. Agbasi\",\"doi\":\"10.1007/s12665-025-12174-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Monitoring and evaluating groundwater resources is crucial as the rapid pollution challenges confronting surface water resources intensify. Failing to do so could have an adverse impact on various sectors of a nation’s economy. In this study, the groundwater quality of communities within the vicinities of the Volta Lake and Akosombo Dam in Ghana was comprehensively assessed for drinking and irrigation using multi-methodological approach. Standard experimental procedures were followed in the analysis of 107 groundwater samples. The samples showed hydrochemical concentrations in the order: TDS > HCO<sub>3</sub><sup>–</sup> > Na<sup>+</sup> > SO<sub>4</sub><sup>2–</sup> > Mg<sup>2+</sup> > Cl<sup>–</sup> > K<sup>+</sup> > NO<sub>3</sub><sup>–</sup> > CO<sub>3</sub><sup>2–</sup> > F<sup>–</sup>. The pH values were alkaline (> 7.0), indicating ionized groundwaters. A high F<sup>–</sup> concentration (3.8 mg/l) was observed in one sample. Most had acceptable NO<sub>3</sub><sup>–</sup> levels (< 50 mg/l), except in four locations with levels > 80 mg/l, which could lead to chronic diseases. Overall index of pollution (OIP) ranged from 0.10 to 0.92, indicating excellent drinking water. Contrarily, the groundwater samples were categorized as excellent (48.50%), good (49.53%), and poor (1.87%) by the water quality index (WQI). The OIP and WQI consistently ranked the groundwater suitability and their spatial maps showed fewer desirable sources in the western part, while the southeastern part had the best quality water. Groundwater mineralization was influenced by natural processes and human activities, per multivariate statistical analysis. Most irrigation water quality indices indicated unsuitability of majority of groundwater stations for irrigation. For both drinking and irrigation water quality predictions, multilinear regression and artificial neural network models performed well with low model errors and R<sup>2</sup> > 0.90. It was indicated that Na<sup>+</sup> had a major influence on the irrigation water quality prediction. 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Groundwater quality assessment for drinking and irrigation uses within the vicinities of Volta Lake and Akosombo Dam in Ghana: a multi-methodological approach
Monitoring and evaluating groundwater resources is crucial as the rapid pollution challenges confronting surface water resources intensify. Failing to do so could have an adverse impact on various sectors of a nation’s economy. In this study, the groundwater quality of communities within the vicinities of the Volta Lake and Akosombo Dam in Ghana was comprehensively assessed for drinking and irrigation using multi-methodological approach. Standard experimental procedures were followed in the analysis of 107 groundwater samples. The samples showed hydrochemical concentrations in the order: TDS > HCO3– > Na+ > SO42– > Mg2+ > Cl– > K+ > NO3– > CO32– > F–. The pH values were alkaline (> 7.0), indicating ionized groundwaters. A high F– concentration (3.8 mg/l) was observed in one sample. Most had acceptable NO3– levels (< 50 mg/l), except in four locations with levels > 80 mg/l, which could lead to chronic diseases. Overall index of pollution (OIP) ranged from 0.10 to 0.92, indicating excellent drinking water. Contrarily, the groundwater samples were categorized as excellent (48.50%), good (49.53%), and poor (1.87%) by the water quality index (WQI). The OIP and WQI consistently ranked the groundwater suitability and their spatial maps showed fewer desirable sources in the western part, while the southeastern part had the best quality water. Groundwater mineralization was influenced by natural processes and human activities, per multivariate statistical analysis. Most irrigation water quality indices indicated unsuitability of majority of groundwater stations for irrigation. For both drinking and irrigation water quality predictions, multilinear regression and artificial neural network models performed well with low model errors and R2 > 0.90. It was indicated that Na+ had a major influence on the irrigation water quality prediction. These findings have significant implications for groundwater monitoring and protection, in the region and beyond.
期刊介绍:
Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth:
Water and soil contamination caused by waste management and disposal practices
Environmental problems associated with transportation by land, air, or water
Geological processes that may impact biosystems or humans
Man-made or naturally occurring geological or hydrological hazards
Environmental problems associated with the recovery of materials from the earth
Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources
Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials
Management of environmental data and information in data banks and information systems
Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment
In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.