Dickson Abdul-Wahab , Abass Gibrilla , Dickson Adomako , Dennis K. Adotey , Samuel Ganyaglo , Cynthia Laar , Nafisatu Zakaria , Geophrey Anornu
{"title":"Application of geostatistical techniques to assess groundwater quality in the Lower Anayari catchment in Ghana","authors":"Dickson Abdul-Wahab , Abass Gibrilla , Dickson Adomako , Dennis K. Adotey , Samuel Ganyaglo , Cynthia Laar , Nafisatu Zakaria , Geophrey Anornu","doi":"10.1016/j.hydres.2022.04.001","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, integrated geostatistical techniques were applied to appraise the groundwater quality for various purposes in the Lower Anayari Catchment (LAC), Ghana. Physico-chemical and trace metals were analysed for 41 groundwater samples. Groundwater in LAC was generally found to be moderately hard to fresh and the information entropy-based groundwater quality index (IEGQI) ranked approximately 80.49% of the groundwater as excellent. Partial Least square regression analysis suggests that PO<sub>4</sub><sup>3−</sup>, As, Cd and Fe are important parameters for the prediction of IEGQI values. The irrigation water quality index (IWQI) suggest that 2.44% of groundwater in LAC is suitable for moderate permeability soils, 65.85% for moderate to high permeability soils and 31.71% for moderate to high salt tolerance plants. The LSI and RSI indices rate groundwater in LAC to be aggressive water with a high probability of being corrosive to metals, depending on the levels of dissolved oxygen present.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"5 ","pages":"Pages 35-47"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757822000038/pdfft?md5=376600f56892bb879da8a51ad8a42217&pid=1-s2.0-S2589757822000038-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HydroResearch","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589757822000038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, integrated geostatistical techniques were applied to appraise the groundwater quality for various purposes in the Lower Anayari Catchment (LAC), Ghana. Physico-chemical and trace metals were analysed for 41 groundwater samples. Groundwater in LAC was generally found to be moderately hard to fresh and the information entropy-based groundwater quality index (IEGQI) ranked approximately 80.49% of the groundwater as excellent. Partial Least square regression analysis suggests that PO43−, As, Cd and Fe are important parameters for the prediction of IEGQI values. The irrigation water quality index (IWQI) suggest that 2.44% of groundwater in LAC is suitable for moderate permeability soils, 65.85% for moderate to high permeability soils and 31.71% for moderate to high salt tolerance plants. The LSI and RSI indices rate groundwater in LAC to be aggressive water with a high probability of being corrosive to metals, depending on the levels of dissolved oxygen present.