International Journal of Environmental Research and Public Health Article Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI) Basheer A. Elubid 1,2,* , Tao Huag 1, Ekhlas H. Ahmed 3 , Jianfei Zhao 1, Khalid. M. Elhag 4, Waleed Abbass 2 and Mohammed M. Babiker 5 1 Department of Environmental Science and Engineering, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, high-tech zone, Chengdu 611756, China;
[email protected] (B.A.E);
[email protected] (T.H.);
[email protected] (J.Z.) 2 Department of Hydrogeology, Faculty of Petroleum & Minerals, Al Neelain University, Khartoum 11121, Sudan;
[email protected] (B.A.E.);
[email protected] (W.A.) 3 School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611756, China;
[email protected] 4 Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China;
[email protected] 5 Water Environmental Sanitation Project (WES), Gedaref State Water Corporation, Gedaref 32214, Sudan;
[email protected] * Correspondence:
[email protected] or
[email protected]; Tel.: +86-152-0821-4309 or +86-173-0809-4289 Received: 4 December 2018; Accepted: 17 February 2019; Published: 28 February 2019 Abstract: 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.