An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Zehai Gao, Yang Liu (), Nan Li and Kangjie Ma
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Zehai Gao: Xi’an University of Technology
Yang Liu: Xi’an University of Technology
Nan Li: Shangnan Forestry Bureau
Kangjie Ma: Shangnan Bureau of Natural Resources

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 8, No 10, 2685-2702

Abstract: Abstract Urban river not only has the important function in urban hydrological environment, but also is an area for entertainment. Water quality assessment is the core technique in water resource management. As the typical urban river, water samples were collected at 5 sampling points in Xi’an moat from January 2018 to December 2020, and 10 physicochemical parameters were analyzed. In this paper, a comprehensive water quality index (WQI) is designed based on the criterion of water quality classes and entropy weight method firstly. Secondly, the crucial water quality parameters is determined by using mutual information, coefficient of variation and the water quality difference. Finally, an enhanced beetle antennae search algorithm is proposed to optimize the weight values of the crucial parameters in the range 0 to 1, which represent the ratio of the crucial parameter in the minimum WQI (WQImin) model. The WQImin models with different number of crucial water quality parameters are implemented for water quality assessment. The effectiveness and superiority of the proposed enhanced beetle antennae search algorithm are validated in comparison with other evolutionary algorithms. The results show that the proposed WQImin model can assess the water quality accurately.

Keywords: Water quality index; Mutual information; Coefficient of variation; Beetle antennae search algorithm (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03169-2

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