Dataset for mapping groundwater contaminant risk using the DRASTIC model for a case study in Ethiopia

Abstract

This paper contains the data that helps in mapping groundwater contaminant risk (nitrate and phosphate) using the DRASTIC model for a case study in Ethiopia. The data contains a total of 9 parameters, each having data points ranging from 10 to 33 (196 records in total). About 52 % of the data points from 7 parameters (depth to water table, aquifer media, soil, types of vadose, transmissivity, aquifer thickness, and hydraulic conductivity) allows the model to predict contaminant risk levels in the groundwater. About 48% of the data points from direct records of 2 variables (nitrate and phosphate) help to validate model predictions and spatial mapping of contaminant risk levels. A brief description of the model development can be found by Alamne, Assefa, Belay and Hussein [1]. This data helps to associate and develop relations between contaminant risk with aquifer characteristics, soil, and water table. A principal component analysis can be performed to identify essential parameters in the prediction of groundwater contaminant risk levels. In addition, the dataset can be used as a baseline or reference point for trend analysis on contaminant risk with the addition of a new dataset.

Keywords: Ethiopia; Groundwater nitrate risk; Modified DRASTIC model.