Optimal configuration for multi-purpose mine water quality-classified utilization

ABSTRACT

Comprehensive utilization of mine water is of immense significance to avoid water wastage and protect the environment. To maximize the benefit of mine water utilization by calculating the available water in the goaf of Wucun Mine and analyzing the characteristics of water quality, combined with the water requirements of residents, power plants, irrigation, aquaculture, and ecology around the mining area and their water quality requirements, a mathematical model for optimal allocation of water quality-classified utilization in a 718-m³/h mine was constructed and solved using differential evolution algorithm and genetic algorithm, respectively. While the results of seven iterations of genetic algorithm varied between 215.24 and 232.36 China Yuan/h, those of differential evolution algorithm were all 232.36 China Yuan/h. When compared with genetic algorithm, differential evolution algorithm has the advantages of better convergence and stable and reliable calculation results. In the irrigation period, differential evolution algorithm indicated supply of 6.00, 334.95, 353.89, 19.76, and 3.40 m³/h treated mine water for residential usage, power plant, irrigation, aquaculture, and ecology, respectively, whereas in the non-irrigation period, differential evolution algorithm suggested supply of 6.00, 688.84, 0, 19.76, and 3.40 m³/h treated mine water, respectively. The annual income from quality-classified utilization of the mine water was the highest. Thus, the present study provides a model that can be used for reference for rational utilization of mine water resources.

KEYWORDS:

• Pumping test
• dynamic replenishment
• mine water quality
• water treatment charges
• water supply costs and benefits

Abbreviations

DEA Differential evolution algorithmGA Genetic algorithm; CNY China Yuan; COD_Mn Permanganate indexTDS Total dissolved solids;AC Polyaluminum chloridePAM PolyacrylamideCODcr Dichromate oxidizabilitySS Suspended solid

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study is financially supported by the National Natural Science Foundation of China [No. 41972254] and Henan Innovative Science and Technology Talents Team Construction Project [No. CXTD2016053], Fundamental Research Funds for Universities of Henan Province [No. NSFRF200103]