Presentating a New Approach for Evaluating the Hydro-geochemical Quality of Groundwater using Swarm Intelligence Algorithms

Document Type : Research Article


1 Assistant Professor of Computer Engineering, Faculty of Engineering, University of Bonab, Bonab, Iran

2 Ph.D Student, Department of Water Science and Engineering, University of Tabriz, Tabriz, Iran


In recent years, increasing salinity and reduction in the quality of groundwater have become one of the environmental challenges due to the penetration and mixing of pollutants. These challenges have created serious risks for the development of human societies and health. In order to prevent future risks and appropriate planning for preserving water resources, a qualitative study of groundwater resources is an essential requirement. In this research, a swarm intelligence approach based on election algorithm and gray wolf optimization algorithm is presented to determine the optimal values ​​for water quality parameters such as TDS, EC and SAR. In order to evaluate the proposed method, data on the plain of Bostanabad city in the 10 years period (2003-2013) were used and the results were evaluated based on Wilcox, Schuler and Piper measures. The results of the experiments show that the underground water of Bostanabad city is modest to acceptable for agriculture and drinking and is suitable for industry due to corrosion and hardness. Most of the data were in the C2S2 class, which is suitable for agriculture. The correlation coefficient above 95% indicates the acceptable accuracy of the gray wolf optimization algorithm in comparison with the election algorithm in estimating the groundwater quality parameters.


Main Subjects

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Volume 6, Issue 1
April 2019
Pages 177-190
  • Receive Date: 23 August 2018
  • Revise Date: 03 January 2019
  • Accept Date: 03 January 2019
  • First Publish Date: 21 March 2019