Modeling groundwater vulnerability to pollution using Optimized DRASTIC model

The prediction accuracy of the conventional DRASTIC model (CDM) algorithm for groundwater vulnerability assessment is severely limited by the inherent subjectivity and uncertainty in the integration of data obtained from various sources. This study attempts to overcome these problems by exploring th...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2014-01, Vol.20 (1), p.12002-29
Main Authors: Mogaji, Kehinde Anthony, Lim, Hwee San, Abdullar, Khiruddin
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Analytic hierarchy process
Assessments
Decision analysis
Decision making
Decision support systems
Effectiveness
Groundwater
Groundwater pollution
Manganese
Mathematical models
Model accuracy
Parameters
Pollution abatement
Predictions
Spatial analysis
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Summary:The prediction accuracy of the conventional DRASTIC model (CDM) algorithm for groundwater vulnerability assessment is severely limited by the inherent subjectivity and uncertainty in the integration of data obtained from various sources. This study attempts to overcome these problems by exploring the potential of the analytic hierarchy process (AHP) technique as a decision support model to optimize the CDM algorithm. Results show that more than 50 % of the area belongs to both moderate and high vulnerable zones on the account of the spatial analysis of the produced ODM-based groundwater vulnerability prediction map (GVPM). The comparative results, indicated that the ODM-based produced GVPM is more reliable than the CDM - based produced GVPM in the study area. The study established the efficacy of AHP as a spatial decision support technique in enhancing environmental decision making with particular reference to future groundwater vulnerability assessment.
ISSN:1755-1315
1755-1307
1755-1315
DOI:10.1088/1755-1315/20/1/012002