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

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
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,&nbsp;Johnbosco C. Egbueri,&nbsp;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 &gt; HCO<sub>3</sub><sup>–</sup> &gt; Na<sup>+</sup> &gt; SO<sub>4</sub><sup>2–</sup> &gt; Mg<sup>2+</sup> &gt; Cl<sup>–</sup> &gt; K<sup>+</sup> &gt; NO<sub>3</sub><sup>–</sup> &gt; CO<sub>3</sub><sup>2–</sup> &gt; F<sup>–</sup>. The pH values were alkaline (&gt; 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 (&lt; 50 mg/l), except in four locations with levels &gt; 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> &gt; 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,&nbsp;Johnbosco C. Egbueri,&nbsp;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 &gt; HCO<sub>3</sub><sup>–</sup> &gt; Na<sup>+</sup> &gt; SO<sub>4</sub><sup>2–</sup> &gt; Mg<sup>2+</sup> &gt; Cl<sup>–</sup> &gt; K<sup>+</sup> &gt; NO<sub>3</sub><sup>–</sup> &gt; CO<sub>3</sub><sup>2–</sup> &gt; F<sup>–</sup>. The pH values were alkaline (&gt; 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 (&lt; 50 mg/l), except in four locations with levels &gt; 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> &gt; 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\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Earth Sciences\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12665-025-12174-8\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Earth Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s12665-025-12174-8","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

随着地表水资源面临的快速污染挑战加剧,监测和评价地下水资源至关重要。如果做不到这一点,可能会对一个国家经济的各个部门产生不利影响。在这项研究中,采用多方法综合评估了加纳Volta湖和Akosombo大坝附近社区的地下水质量,用于饮用和灌溉。采用标准实验程序对107个地下水样品进行了分析。样品的水化学浓度顺序为:TDS >;HCO3 -比;Na +比;SO42 -比;Mg2 +比;Cl -比;K +比;NO3祝辞CO32 -比;F -。pH值为碱性(>;7.0),表示电离地下水。在一个样品中观察到高F浓度(3.8 mg/l)。大多数都有可接受的NO3水平(<;50毫克/升),但在四个水平为>;80毫克/升,可能导致慢性疾病。总体污染指数(OIP)在0.10至0.92之间,表明饮用水质量良好。地下水水质指数(WQI)为优(48.50%)、良(49.53%)、差(1.87%)。OIP和WQI对地下水适宜性的排名一致,其空间图显示西部水源较少,东南部水质最好。根据多元统计分析,地下水矿化受自然过程和人类活动的影响。大部分灌溉水质指标表明,大部分地下水位站不适宜灌溉。对于饮用水和灌溉水质的预测,多元线性回归和人工神经网络模型均具有较低的模型误差和R2 >;0.90. 结果表明,Na+对灌溉水质预测有重要影响。这些发现对该地区及其他地区的地下水监测和保护具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信