Geospatial Modeling for Assessing Ground Water Quality in Southern Nation, Nationality and People’s Region (SNNPR), Ethiopia

Abera, Daniel (2016) Geospatial Modeling for Assessing Ground Water Quality in Southern Nation, Nationality and People’s Region (SNNPR), Ethiopia. Masters thesis, Addis Ababa University.

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Abstract

Improved springs and water wells are major sources of drinking water for most of the rural areas in Ethiopia including SNNPR. The purpose of the study is to present the groundwater spatial data in GIS environment for better understanding the spatial distribution of groundwater quality parameters. In this study, a total of 244 improved water sources were randomly selected within a study area of 34,381 square kilometer. Important chemical parameters of groundwater like Fluoride, Total Hardness (TH), Electrical Conductivity (EC) and pH were tested and compared to both national and world health organization (WHO) guideline values. The geostatistical analyst extension module of ArcGIS was used for exploratory data analysis, semivariogram model selection, cross-validation, and development of a distribution pattern of groundwater quality parameters. The ordinary Kriging (OK) method was used to produce the spatial patterns of groundwater quality. The result of OK interpolation shows higher pH and EC values both in north east and south west of the study areas whereas fluoride concentrations increase to north east and relatively higher TH occurred both at north and south extremes. The best fit model for EC, pH, TH and Fluoride were a Spherical model with Mean Error (ME) values of -0.0364, 0.00006, 0.3942 and 0.1943 and with Root Mean Square Standardized Error (RMSSE) values of 1.124, 1.047, 0.995 and 0.925 respectively. The statistical analysis on the data showed that 29 % of pH values, 20 % of hardness and 12% of fluoride concentrations were out of both the national and WHO acceptable concentration range for drinking water.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Geographic Information System, Geostatistics, Groundwater, Kriging
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Q Science > QE Geology
T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Africana
Depositing User: Selom Ghislain
Date Deposited: 30 Oct 2018 13:11
Last Modified: 30 Oct 2018 13:11
URI: http://thesisbank.jhia.ac.ke/id/eprint/7143

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