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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...

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Autores principales: A. Elubid, Basheer, Huag, Tao, H. Ahmed, Ekhlas, Zhao, Jianfei, M. Elhag, Khalid., Abbass, Waleed, M. Babiker, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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