Volume 47 Issue 6
Dec.  2019
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MEI Jie, LI Guangwei, XIA Chengcheng, LIU Yaping, LIU Wen, HE Xinyue. Particle swarm optimization-based bionic principle for solving hydrodynamic dispersion coefficient in Jiang'an Campus[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(6): 98-102. DOI: 10.3969/j.issn.1001-1986.2019.06.016
Citation: MEI Jie, LI Guangwei, XIA Chengcheng, LIU Yaping, LIU Wen, HE Xinyue. Particle swarm optimization-based bionic principle for solving hydrodynamic dispersion coefficient in Jiang'an Campus[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(6): 98-102. DOI: 10.3969/j.issn.1001-1986.2019.06.016
shu

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

  • 1. State Key Laboratory of Hydraulics and Mountain River Development and Protection, Institute of Water Conservancy and Hydro-Electric Power, Sichuan University, Chengdu 610065, China;

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  • Received Date: February 24, 2019
  • Published Date: December 24, 2019
    Graphical Abstract
    • 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.
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    • References (13)
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