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Spatial assessment of the potential of groundwater quality using fuzzy AHP in GIS

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Abstract

In this study, fuzzy AHP method is used for extracting the water quality indicators based on the Schuler standard and World Health Organization (WHO) guidelines during a 20-year period. For this purpose, the best fit of the zoning model was performed. Furthermore, by comparing the standard errors, the continuous Raster layer was extracted from the important parameters used in generating the qualitative potential assessment index. The classified layer was generated by integrating continuous layers in the GIS environment and with the use of Python programming. The similarity of the outputs of both methods indicates the presence of large sections of aquifers in the middle and southwestern regions of Iran in the “temporarily drinkable” and “bad” classes. The calculations showed that the majority of aquifers that were located in the “inappropriate” class during the first 10 years fell to less valuable class types. Based on the results of the model, there is a direct correlation between the drop in water resources and the decline in the quality indices. In addition, in the Urmia and Bushehr coastal aquifers, due to excessive water withdrawal and salty water penetration, the quality of the table water is in critical condition. Based on the results of the research, the aquifers in the range of Zagros and Alborz mountains show the least change in water quality. The reason for this is the depth of the aquifer and the ability to recharge it.

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Authors and Affiliations

  1. Civil Engineering Department, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran

    Saeed Azimi, Mehdi Azhdary Moghaddam & Seyed Arman Hashemi Monfared

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  1. Saeed Azimi
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  2. Mehdi Azhdary Moghaddam
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  3. Seyed Arman Hashemi Monfared
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Correspondence to Mehdi Azhdary Moghaddam.

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Azimi, S., Azhdary Moghaddam, M. & Hashemi Monfared, S.A. Spatial assessment of the potential of groundwater quality using fuzzy AHP in GIS. Arab J Geosci 11, 142 (2018). https://doi.org/10.1007/s12517-018-3484-8

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  • DOI: https://doi.org/10.1007/s12517-018-3484-8

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