Journal of Jilin University(Earth Science Edition) ›› 2024, Vol. 54 ›› Issue (2): 592-603.doi: 10.13278/j.cnki.jjuese.20220255

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Numerical Simulation of Groundwater Flow in a Karst Area with Conduits Generated by Gaussian Distribution

Liu Guodong1,2,Du Chenghong1,Hou Jie1,Yang Mengxi1,Chen Yu1,Xie Yang1
  

  1. 1. College of Water Resource & Hydropower, Sichuan University, Chengdu 610065,China

    2. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065,China

     




  • Online:2024-03-26 Published:2024-04-09
  • Supported by:
    Supported by the National Natural Science Foundation of China (52379071)

Abstract:

In order to simulate the groundwater movement in the karst area more accurately, a karst hydrogeological unit in Pu’an County, southwest Guizhou Province was taken as the research area. The FEFLOW software based on the finite element method was employed to establish a numerical simulation model that couples karst conduits with equivalent porous media for groundwater flow in the area. Gaussian random distribution was employed to generate conduits for underground rivers controlled by the geological conditions such as fault, fissure, fracture etc. The water flow in the equivalent porous medium was described by the partial differential equation of the 3-D transient flow, and the water flow in the conduit was described by the Manning-Strickler equation. The water conducting fault is treated as a strong permeable block, the infiltration coefficient of rainfall in the catchment areas of the sinkhole is set to 1, and the spring is treated as a pumping well with a constant head in the numerical model. The simulation results showed that the determining coefficient of the relationship between the calculated water level and the measured water level at 25 observation wells can reach 0.998 5, and the Nash-Sutcliffe efficiency coefficient reaches 0.998 2, which is very close to 1. It shows that the groundwater simulation model based on these treatments reflects the characteristics of karst groundwater movement and has strong simulation ability, which can be used to improve the evaluation accuracy of karst groundwater resources.

Key words: karstic groundwater, underground river, FEFLOW, groundwater numerical simulation, Gaussian distribution

CLC Number: 

  • TV221
[1] Zhao Liangjie, Xia Riyuan, Yi Lianxing, Yang Yang, Wang Zhe, Lu Haiping. Calculation of Hydrogeological Parameters for Karst Aquifer Based on Flux Recession Curve [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(6): 1817-1821.
[2] DONG Gui-ming, SHU Long-cang, TIAN Juan, JI Ye-fei. Numerical Model of Groundwater Flow in Karst Underground River System, Southwestern China [J]. J4, 2011, 41(4): 1136-1143.
[3] WEN Zhong-hui, REN Hua-zhun, SHU Long-cang, WANG En, KE Ting-ting, CHEN Rong-bo. Daily Discharge Forecast of Karst Underground River on Non-Linear Time Series Model of A Small Sample [J]. J4, 2011, 41(2): 455-458.
[4] WANG Wei, SU Xiao-si, WANG Xiao-yuan. Vegetation Ecological Risk Assessment Research Under the Impact of Groundwater Withdraw:A Case Study of Wulannao Area, Ordos Basin [J]. J4, 2010, 40(6): 1344-1352.
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