Open AccessStudy on Multi-objective Combination Model Based on Pollutants Control of Groundwater Allocation System
Author(s) -
Shuai Dong,
Zebin Sheng,
Yilin Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/696/1/012026
Subject(s) - groundwater , environmental science , pollutant , terrain , environmental engineering , energy consumption , hydrology (agriculture) , water resource management , engineering , geography , ecology , geotechnical engineering , cartography , biology , electrical engineering
Groundwater resources are abundant on the middle and lower reaches of the Yellow River. However, due to the flat terrain and slow underground runoff, the water quality of groundwater intake wells is gradually deteriorating as a result of the deposition of pollutants, conventional allocation methods can’t meet the groundwater intake demand. In response to this problem, firstly, based on the investigation and study of groundwater intake rules and water quality characteristics on both sides of the Yellow River mainstream, the micro-hydraulic simulation model of the groundwater intake and allocation system is established. Secondly, Fourier Curve is used to fit and predict the characteristic pollutants for each well, then the water quality model of the groundwater allocation system is established combined with the dynamic equation. Finally, the combination model based on pollutants control of groundwater allocation system is constructed with three objectives, which are water quality optimization, safety optimization and energy consumption optimization. The model is solved by APGA algorithm and the corresponding calculation program is compiled with Visual Studio 2019. Through the application in a city on the middle and lower reaches of the Yellow River, the advantages of the model in pollutants control and energy consumption reduction are verified, meanwhile, a scientific and practical optimization technology for groundwater intake and allocation system is provided.