AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (8.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Effects of coal mining and tunnel excavation on groundwater flow system in karst areas by modeling: A case study in Zhongliang Mountain, Chongqing, Southwest China

Qing-shan Li1,2Xiao-bing Kang2( )Mo Xu2Bang-yan Mao3
Sichuan Tianshengyuan Environmental Service Co., Ltd, Chengdu 610036, China
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, China
Show Author Information

Abstract

A karst groundwater system ranks among the most sensitive and vulnerable types of groundwater systems. Coal mining and tunnel excavation can greatly change the natural hydrogeological flow system, groundwater-dependent vegetation, soil, as well as hydrology of surface water systems. Abandoned coal mine caves and proposed highway tunnels may have significant influences on groundwater systems. This study employs MODFLOW, a 3D finite-difference groundwater model software, to simulate the groundwater system's response to coal mining and tunnel excavation impact in Zhongliang Mountain, Chongqing, from 1948 to 2035. The results show a regional decline in groundwater levels within the study area following mining and tunnel construction. The groundwater flow system in the study area evolves from the Jialing River groundwater flow system to encompass the Jialing River, Moxinpo highway tunnel, Moxinpo, and the Liujiagou coal mine cave groundwater flow systems between 1948 and 2025. With the completion of tunnel construction, the groundwater level at the top of the tunnel is gradually restored to the water level in the natural state. The model also predicts groundwater level variations between 2025 and 2035. The groundwater level will rise further initially, however, it may take about 10 years for the system to stabilize and reach a new equilibrium. In light of these findings, it is advised that changes in groundwater flow systems caused by tunnel construction should be modeled prior to the practical construction. This approach is crucial for evaluating potential engineering and environmental implications.

References

 
Bahrami S, Ardejani FD. 2014 Numerical modelling of the groundwater inflow to an advancing open pit mine: Kolahdarvazeh pit, Central Iran. Environmental Monitoring and Assessment, 186: 8573-8585.
 

Dafny E, Burg A, Gvirtzman H. 2010. Effects of Karst and geological structure on groundwater flow: The case of Yarqon-Taninim Aquifer, Israel. Journal of Hydrology, 389: 260−275. DOI:10.1016/j.jhydrol.2010.05.038.

 
Ford D, Williams PD. 2007. Karst Hydrogeology and Geomorphology. John Wiley & Sons.
 

Fu HT. 2019. The application of 3D modeling technology to the kimberlite rock tube exploration: A case study of Wafangdian in Liaoning Province. Geological Bulletin of China, 38(1): 51−55. (in Chinese)

 

Gutiérrez F, Parise M, De Waele J, et al. 2014. A review on natural and human-induced geohazards and impacts in karst. Earth-Science Reviews, 138: 61−88. DOI:10.1016/j.earscirev.2014.08.002.

 
Gong DX, Hui B, Zhou JY, 2018. Features of micro-fabric and the genetic study of Triassic deep polyhalite in the Guang'an area, central Sichuan Basin. China Geology, 1: 453-454.
 

Hou ST, Cai JY, Tan KY, et al. 2019. A mine drainage treatment system for AMD in remediation of metal sulfide mines. China Geology, 2(3): 2. DOI:10.31035/cg2018112.

 

Hanna TM, Azrag E, Atkinson LC. 1994. Use of an analytical solution for preliminary estimates of groundwater inflow to a pit. Mining Engineering, 46: 149−152.

 

Hu LT, Jiao JL. 2010. Modeling the influences of land reclamation on groundwater systems: A case study in Shekou peninsula, Shenzhen, China. Engineering Geology, 114: 144−153. DOI:10.1016/j.enggeo.2010.04.011.

 
Jiang XW, Wan L, Wang XS, et al. 2009. Effect of exponential decay in hydraulic conductivity with depth on regional groundwater flow. Geophysical Research Letters, 36.
 

Kang XB, Luo S, Xu M. 2015. Research on the mechanism of water resource loss in east karst mountain area of Sichuan. Desalination and Water Treatment, 53: 557−566. DOI:10.1080/19443994.2013.846463.

 
Li J, Hong AH, Yuan DX, et al. 2021. A new distributed karst-tunnel hydrological model and tunnel hydrological effect simulations. Journal of Hydrology, 593.
 

Lin L, Lin H. 2019. Determination of groundwater sustainable yield using a numerical modelling approach for the Table Mountain Group sandstone aquifer, Rawsonville, South Africa. Hydrogeology Journal, 27: 841−855. DOI:10.1007/s10040-018-1902-3.

 

Liu JC, Shen LC, Wang ZX, et al. 2019. Response of plants water uptake patterns to tunnels excavation based on stable isotopes in a karst trough valley. Journal of Hydrology, 571: 485−493. DOI:10.1016/j.jhydrol.2019.01.073.

 
Li QS. 2017. Establishment and application of spatial model of water bearing system in Chongqing Zhongliangshan Moxianpo tunnel area. M. D. thesis. Chengdu: Chengdu University of Technology. (in Chinese)
 

Lv YX, Jiang YJ, Hu W, et al. 2020. A review of the effects of tunnel excavation on the hydrology, ecology, and environment in karst areas: Current status, challenges, and perspectives. Journal of Hydrology, 586: 124891. DOI:10.1016/j.jhydrol.2020.124891.

 

Nguyen VH. 2021. Determination of groundwater solute transport parameters in finite element modelling using tracer injection and withdrawal testing data. Journal of Groundwater Science and Engineering, 9(4): 292−303. DOI:10.19637/j.cnki.2305-7068.2021.04.003.

 

Naidu LS, G. Rao VVS, T. Rao G, et al. 2013. An integrated approach to investigate saline water intrusion and to identify the salinity sources in the central godavari delta, andhra pradesh, India. Arabian Journal of Geosciences, 6: 3709−3724. DOI:10.1007/s12517-012-0634-2.

 
Rani FM, Chen ZH. 2010. Numerical modeling of groundwater flow in Karst Aquifer, Makeng Mining Area. American Journal of Environmental Sciences, 6: 78-82.
 

Ren K, Zeng J, Liang JP, et al. 2021. Impacts of acid mine drainage on karst aquifers: Evidence from hydrogeochemistry, stable sulfur and oxygen isotopes. Science of the Total Environment, 761: 143223. DOI:10.1016/j.scitotenv.2020.143223.

 
Sun WJ, Wu Q, Liu HL, et al. 2015. Prediction and assessment of the disturbances of the coal mining in Kailuan to karst groundwater system. Physics and Chemistry of the Earth, Parts A/B/C 89-90: 136-144.
 

Surinaidu L, Gurunadha R, Srinivasa R, et al. 2014. Hydrogeological and groundwater modeling studies to estimate the groundwater inflows into the coal Mines at different mine development stages using MODFLOW, Andhra Pradesh, India. Water Resources and Industry, 7-8: 49−65. DOI:10.1016/j.wri.2014.10.002.

 

To´th J. 1963. A theoretical analysis of groundwater flow in small drainage basins. Journal of Geophysical Research, 68: 4795−4812. DOI:10.1029/JZ068i008p02354.

 

Vincenzi V, Gargini A, Goldscheider N. 2009. Using tracer tests and hydrological observations to evaluate effects of tunnel drainage on groundwater and surface waters in the Northern Apennines (Italy). Hydrogeology Journal, 17: 135−150. DOI:10.1007/s10040-008-0371-5.

 

Wang WS, Oswald SE, Gräff T, et al. 2019. Impact of river reconstruction on groundwater flow during bank filtration assessed by transient three-dimensional modelling of flow and heat transport. Hydrogeology Journal, 28: 723−743. DOI:10.1007/s10040-019-02063-3.

 

Zhang GW. 2013. Type curve and numerical solutions for estimation of Transmissivity and Storage coefficient with variable discharge condition. Journal of Hydrology, 476: 345−351. DOI:10.1016/j.jhydrol.2012.11.003.

 

Zhang H, Wang Y, Yang R, et al. 2018. Modeling the effects of phosphate mining on groundwater at different stages of mine development. Mine Water and the Environment, 37: 604−616. DOI:10.1007/s10230-018-0510-8.

 

Zhang WT, Qi JH, Xu M. 2015. Analysis on variation characteristics of karst groundwater systems under tunnel engineering conditions in Southwest China. Geoscience, 29(02): 421−427. (in Chinese)

 

Zhao R, Xu M, Fan CC. 2015. Numerical simulation of the groundwater seepage field of a tunnel group in an Ejective Anticline Zone. Modern Tunnelling Technology, 52: 69−73. (in Chinese) DOI:10.13807/j.cnki.mtt.2015.03.010.

 

Zhong LM, Xu M, Wu ML, et al. 2018. Development of deep karst under the coupling of multistage flow systems: A case of southern part of the Zhongliang Mountain anticline of the parallel barrier structure in Eastern Sichuan. Hydrogeology & Engineering Geology, 45(01): 45−51. (in Chinese) DOI:10.16030/j.cnki.Issn.1000-3665.2018.01.07.

Journal of Groundwater Science and Engineering
Pages 391-407
Cite this article:
Li Q-s, Kang X-b, Xu M, et al. Effects of coal mining and tunnel excavation on groundwater flow system in karst areas by modeling: A case study in Zhongliang Mountain, Chongqing, Southwest China. Journal of Groundwater Science and Engineering, 2023, 11(4): 391-407. https://doi.org/10.26599/JGSE.2023.9280031

416

Views

43

Downloads

0

Crossref

0

Web of Science

0

Scopus

Altmetrics

Received: 28 January 2023
Accepted: 26 September 2023
Published: 10 December 2023
2305-7068/© 2023 Journal of Groundwater Science and Engineering Editorial Office

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

Return