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Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index

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Abstract

Groundwater quality for drinking purposes has been evaluated for 21 groundwater samples from the Azarshahr Plain in Iran using entropy theory, and its results have been compared with the spatial autocorrelation of effective parameters of water quality. In order to prevent the expert judgments of the parameters weight that occurs when the Water Quality Index (WQI) method is used, the entropy method was used. Entropy and its weight were calculated, and parameters spatial autocorrelation was then determined. The spatial autocorrelation assessment confirmed the entropy theory results. The maximum spatial autocorrelation, minimum entropy and therefore the highest effectiveness rate on groundwater quality of Azarshahr Plain were found to be associated with bicarbonate. Using the entropy weighted WQI, the groundwater quality was classified into five categories: excellent, good, moderate, poor and extremely poor. According to the entropy weighted WQI, the groundwater quality of study area can be classified into “good” to “poor” domains.

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Authors and Affiliations

  1. Department of Earth Science, Faculty of Natural Science, University of Tabriz, Tabriz, Iran

    Alireza Docheshmeh Gorgij & Asghar Asghari Moghaddam

  2. Center for Interdisciplinary Research, International Black Sea University, Tbilisi, Georgia

    Ozgur Kisi

  3. School of Earth Sciences, Damghan University, Damghan, Iran

    Aliakbar Taghipour

Authors
  1. Alireza Docheshmeh Gorgij
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  2. Ozgur Kisi
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  3. Asghar Asghari Moghaddam
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  4. Aliakbar Taghipour
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Correspondence to Ozgur Kisi.

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Gorgij, A.D., Kisi, O., Moghaddam, A.A. et al. Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index. Environ Earth Sci 76, 269 (2017). https://doi.org/10.1007/s12665-017-6589-6

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