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Review Article

Academia Journal of Environmental Science 6(4): 255-268, October 2018
DOI: 10.15413/ajes.2018.0140
ISSN: 2315-778X
©2018 Academia Publishing

Abstract


Groundwater intrinsic vulnerability assessment through GIS-based drastic method optimization in Atalanti alluvial basin, Central Greece
 

 

Accepted 27th September, 2018

 

Lappas Ioannis1* and Kallioras Andreas2

1Special Secretariat of Water, Directorate of Protection and Management of Water Environment, Department of Surface and Ground Waters, 17thAmaliados St.,Athens, Greece, P.S. 11523.
2National Technical University of Athens, School of Mining and Metallurgical Engineering, Laboratory of Engineering Geology and Hydrogeology, Iroon Polytechniou 9, Technical University Campus, Zografou-Athens, Greece, P.S. 15780.

 

 

The objective of this study is to estimate the groundwater intrinsic vulnerability in Atalanti porous aquifer in Central Greece in order to improve the decision making processes to prevent contamination through watershed management and land use planning. Several land areas are more susceptible to groundwater contamination than others due to geological and hydrogeological parameters controlling the pollution. Vulnerability assessment is one of the major techniques used to assist the development of protection strategies. It allows delimitation of areas with different degree of natural protection of groundwater against pollution. DRASTIC model through hydrogeological, hydraulic and soil parameters shows areas vulnerable to pollution with the help of GIS. These rated as well as weighted parameters are combined to create the final map, while results’ optimization with groundwater quality data (nitrate concentration as a modifying parameter) is implemented in order to minimize the method’s uncertainty by examining the sensitivity analysis. By overlying various spatially referenced data layers, the final map indicates the groundwater vulnerability to pollution across Atalanti alluvial basin. The obtained vulnerability map gives locations which must have high priority in terms of protection and pollution prevention. Finally, the proposed method is suggested for agricultural areas with similar geological, hydrogeological and land use settings.


Key words: Porous aquifer, groundwater contamination, nitrate concentration, method’s uncertainty, pollution prevention, DRASTIC parameterization optimization.
 

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article as:
Ioannis L, Andreas K (2018). Groundwater intrinsic vulnerability assessment through GIS-based drastic method optimization in Atalanti alluvial basin, Central Greece. Acad. J. Environ. Sci. 6(4): 255-268.

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