Particle swarm optimization-based bionic principle for solving hydrodynamic dispersion coefficient in Jiang'an Campus

Authors

MEI Jie, State Key Laboratory of Hydraulics and Mountain River Development and Protection, Institute of Water Conservancy and Hydro-Electric Power, Sichuan University, Chengdu 610065, China
LI Guangwei, China Electrical Construction Group Chengdu Engineering Corporation Limited, Chengdu 611130, ChinaFollow
XIA Chengcheng, State Key Laboratory of Hydraulics and Mountain River Development and Protection, Institute of Water Conservancy and Hydro-Electric Power, Sichuan University, Chengdu 610065, China
LIU Yaping, State Key Laboratory of Hydraulics and Mountain River Development and Protection, Institute of Water Conservancy and Hydro-Electric Power, Sichuan University, Chengdu 610065, China
LIU Wen, State Key Laboratory of Hydraulics and Mountain River Development and Protection, Institute of Water Conservancy and Hydro-Electric Power, Sichuan University, Chengdu 610065, China
HE Xinyue, State Key Laboratory of Hydraulics and Mountain River Development and Protection, Institute of Water Conservancy and Hydro-Electric Power, Sichuan University, Chengdu 610065, China

Abstract

Hydrodynamic dispersion coefficient is an important parameter in the study of solute transport in groundwater. In order to understand the transport law of pollutants in groundwater, the particle swarm optimization(PSO) algorithm based on bionic principle is used to solve the hydrodynamic dispersion coefficient of phreatic aquifer under natural flow field in the dispersion test site of Jiang'an Campus of Sichuan University. Compared with the least-square method and the standard curve comparison method, the results show that the results of the standard curve method are subject to subjective influence, and the errors are relatively large. The results of least square method fit well with the measured data, but the calculation process is relatively complex. Particle swarm optimization(PSO) is a reliable solution method, has the highest accuracy, faster calculation, good convergence and stability.

Keywords

hydrodynamic dispersion coefficient, particle swarm optimization algorithm, groundwater pollution, dispersion experiment, phreatic aquifer

DOI

10.3969/j.issn.1001-1986.2019.06.016

Recommended Citation

MEI Jie, LI Guangwei, XIA Chengcheng, et al. (2019) "Particle swarm optimization-based bionic principle for solving hydrodynamic dispersion coefficient in Jiang'an Campus," Coal Geology & Exploration: Vol. 47: Iss. 6, Article 17.
DOI: 10.3969/j.issn.1001-1986.2019.06.016
Available at: https://cge.researchcommons.org/journal/vol47/iss6/17

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