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Review article

Implementation of multi-criterial analysis to selecting the optimal method for intrinsic vulnerability assessment of karst aquifers

Jelena Loborec ; Faculty of Geotechnical Engineering, University of Zagreb, Zagreb, Croatia
Bojan Đurin ; Faculty of Geotechnical Engineering, University of Zagreb, Zagreb, Croatia


Full text: croatian pdf 474 Kb

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Full text: english pdf 474 Kb

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Abstract

Methods for natural vulnerability assessment are based on the assumption that natural physical, chemical and biological characteristics of an aquifer system can provide some level of groundwater protection from pollution. The problem of the implementation of different vulnerability assessment methods in one area is due to relatively large differences in their final results as a consequence of certain subjectivity in assessments as well as dana availability. For these reasons, increasingly more attention is paid to the implementation of appropriate methods to verify the results of vulnerability assessments, which all starts out with the selection of an optimal method. This paper will present the results of the implementation of four vulnerability assessment methods (SINTACS, EPIK, PI and COP) to a Croatian karst aquifer, the basin of the Jadro and Žrnovnica springs. This will be followed by the presentation of implementation of the multi-criterial analysis procedure by means of the PROMETHEE method which took into consideration different characteristic of individual methods. In this manner, the attempt was made to rank and select the most acceptable method for the implementation in the investigated area. Thus presented procedure could serve as a standard method for selecting the optimal method to be used in the investigated area with the purpose to verify the results of the natural vulnerability assessment of karst aquifers.

Keywords

intrinsic vulnerability; karst aquifer; Jadro; Žrnovnica; multi-criterial analysis; verification

Hrčak ID:

166042

URI

https://hrcak.srce.hr/166042

Publication date:

12.9.2016.

Article data in other languages: croatian

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