Assessment of temporal and spatial changes of groundwater quality using hybrid Boolean, Fuzzy and Geostatistical, Case study: Varamin plain

Authors

1 Faculty of Agriculture and Natural Resources of Tehran University

2 Malayer University

10.22092/wmej.2016.113504

Abstract

Depending on population growth and shortages of surface water, especially in arid and semi-arid regions And the urgent need to provide appropriate quality of water for drinking and other purposes according to the quality groundwater resources will be doubled. In this study, physicochemical properties, with emphasis on the use of drinking water in the Varamin plain was studied, and three parameters, TH, TDS, and EC as limiting parameters for drinking water was used. also spatial distribution of this these three parameters to prepare changes of zoning map of ground water quality in a five-years period by Using interpolation methods combined with fuzzy logic and Boolean was investigated. Interpolation methods used in this study contains geostatistical and defines methods that with variogram analysis and evaluation of results accuracy, according to least RMSE for location of contaminants were used. Results showed that the inverse distance weighted method to interpolation of TDS and EC parameters was more appropriate than Geostatistical Kriging method by using CL had the most accuracy. Groundwater quality zoning maps prepared by combining Boolean logic and fuzzy indicated west and south west maps, based on drinking waters, standard of Iran, the ground water is undesirable, Because it contains sodium sulfate salt clay zones in the area and thickness of the aquifer in this area is low.

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History

  • Receive Date: 24 January 2015
  • Revise Date: 16 May 2015
  • Accept Date: 21 June 2015

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