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Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI)
The observation of groundwater quality elements is essential for understanding the classification and distribution of drinking water. Geographic Information System (GIS) and remote sensing (RS), are intensive tools for the performance and analysis of spatial datum associated with groundwater sources...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427274/ https://www.ncbi.nlm.nih.gov/pubmed/30823464 http://dx.doi.org/10.3390/ijerph16050731 |
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author | A. Elubid, Basheer Huag, Tao H. Ahmed, Ekhlas Zhao, Jianfei M. Elhag, Khalid. Abbass, Waleed M. Babiker, Mohammed |
author_facet | A. Elubid, Basheer Huag, Tao H. Ahmed, Ekhlas Zhao, Jianfei M. Elhag, Khalid. Abbass, Waleed M. Babiker, Mohammed |
author_sort | A. Elubid, Basheer |
collection | PubMed |
description | The observation of groundwater quality elements is essential for understanding the classification and distribution of drinking water. Geographic Information System (GIS) and remote sensing (RS), are intensive tools for the performance and analysis of spatial datum associated with groundwater sources control. In this study, groundwater quality parameters were observed in three different aquifers including: sandstone, alluvium and basalt. These aquifers are the primary source of national drinking water and partly for agricultural activity in El Faw, El Raha (Fw-Rh), El Qalabat and El Quresha (Qa-Qu) localities in the southern part of Gedaref State in eastern Sudan. The aquifers have been overworked intensively as the main source of indigenous water supply in the study area. The interpolation methods were used to demonstrate the facies pattern and Drinking Water Quality Index (DWQI) of the groundwater in the research area. The GIS interpolation tool was used to obtain the spatial distribution of groundwater quality parameters and DWQI in the area. Forty samples were assembled and investigated for the analysis of major cations and anions. The groundwater in this research is controlled by sodium and bicarbonate ions that defined the composition of the water type to be Na HCO(3). However, from the plots of piper diagram; the samples result revealed (40%) Na-Mg-HCO(3) and (35%) Na-HCO(3) water types. The outcome of the analysis reveals that several groundwater samples have been found to be suitable for drinking purposes in Fa-Rh and Qa-Qu areas. |
format | Online Article Text |
id | pubmed-6427274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64272742019-04-10 Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) A. Elubid, Basheer Huag, Tao H. Ahmed, Ekhlas Zhao, Jianfei M. Elhag, Khalid. Abbass, Waleed M. Babiker, Mohammed Int J Environ Res Public Health Article The observation of groundwater quality elements is essential for understanding the classification and distribution of drinking water. Geographic Information System (GIS) and remote sensing (RS), are intensive tools for the performance and analysis of spatial datum associated with groundwater sources control. In this study, groundwater quality parameters were observed in three different aquifers including: sandstone, alluvium and basalt. These aquifers are the primary source of national drinking water and partly for agricultural activity in El Faw, El Raha (Fw-Rh), El Qalabat and El Quresha (Qa-Qu) localities in the southern part of Gedaref State in eastern Sudan. The aquifers have been overworked intensively as the main source of indigenous water supply in the study area. The interpolation methods were used to demonstrate the facies pattern and Drinking Water Quality Index (DWQI) of the groundwater in the research area. The GIS interpolation tool was used to obtain the spatial distribution of groundwater quality parameters and DWQI in the area. Forty samples were assembled and investigated for the analysis of major cations and anions. The groundwater in this research is controlled by sodium and bicarbonate ions that defined the composition of the water type to be Na HCO(3). However, from the plots of piper diagram; the samples result revealed (40%) Na-Mg-HCO(3) and (35%) Na-HCO(3) water types. The outcome of the analysis reveals that several groundwater samples have been found to be suitable for drinking purposes in Fa-Rh and Qa-Qu areas. MDPI 2019-02-28 2019-03 /pmc/articles/PMC6427274/ /pubmed/30823464 http://dx.doi.org/10.3390/ijerph16050731 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article A. Elubid, Basheer Huag, Tao H. Ahmed, Ekhlas Zhao, Jianfei M. Elhag, Khalid. Abbass, Waleed M. Babiker, Mohammed Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) |
title | Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) |
title_full | Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) |
title_fullStr | Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) |
title_full_unstemmed | Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) |
title_short | Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) |
title_sort | geospatial distributions of groundwater quality in gedaref state using geographic information system (gis) and drinking water quality index (dwqi) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427274/ https://www.ncbi.nlm.nih.gov/pubmed/30823464 http://dx.doi.org/10.3390/ijerph16050731 |
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