Journal of Jilin University(Earth Science Edition) ›› 2022, Vol. 52 ›› Issue (2): 550-559.doi: 10.13278/j.cnki.jjuese.20200314

Previous Articles     Next Articles

Modeling of Groundwater Flow-Land Subsidence with Variable Hydraulic Conductivity Based on MODFLOW-SUB

Meng Shihao1,Cui Yali1,Tian Fang2,Luo Yong2,Shi Honglei1    

  1. 1. School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
    2. Hydrogeology and Engineering Geology Team of Beijing(Geological Environment Monitoring Station of Beijing), 
    Beijing 100195,China
  • Received:2020-12-21 Online:2022-03-27 Published:2022-11-22
  • Supported by:
    the Project of Beijing Municipal Finance (PXM2019_158305_000012)

Abstract: In the groundwater flow-land subsidence model based on MODFLOW-SUB, the vertical hydraulic conductivity of clay interbed is set as a constant. However, during the compression process of clay interbed, its vertical hydraulic conductivity will change accordingly, so the prediction of long-term land subsidence by using this model may be not realistically suitable. In this study, a variable hydraulic conductivity model was established through improving the source code of SUB combined with the change law of vertical hydraulic conductivity and the head of clay interbed during subsidence. Taking the typical structure of Antelope Valley in California established by the USGS (U.S. Geological Survey)as an example, the constant hydraulic conductivity model and the variable hydraulic conductivity model were used to simulate the process respectively. The results show that the two models have good consistency in the first 20 years of mining. With the continuous development of mining, the accumulated subsidence calculated by the variable system model is gradually smaller than that calculated by the constant model, and the accumulated subsidence in 80 years decreases by 15.6%. With the increase of mining amount, the time at which the two models differed is advanced and the final subsidence difference value is increased. With the increase of the interbed thickness, the time the two models differed gradually delays but the final subsidence difference value increases. The results indicate that both the constant model and the variable model have good applicability in the early stage of mining with desirable accuracy, but with the extension of mining time, the variable model can better reflect the actual compressive subsidence process.

Key words: land subsidence model, vertical hydraulic conductivity, variable element, source code improvement 

CLC Number: 

  • P641.2
[1] Yang Guohua, Li Wanlu, Meng Bo. Spatiotemporal Distribution of Groundwater Ammonia Nitrogen Based on Machine Learning Methods#br# [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(6): 1982-1995.
[2] Du Xinqiang, Wang Yusheng, Ye Xueyan, Lu Ying, Zhao Jingtong, Zhang Hexuan. Artificial Aquifer Recharge Potential and Methods in Plain Area of Daqing River Basin [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(2): 535-549.
[3] Wang Zhe, Fu Yu, Zhu Jingsi, Cao Wengeng. Effect Assessment on Groundwater Recharge for Typical Rivers in North China [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(3): 843-853.
[4] Dong Linyao, Ren Hongyu, Lei Junshan, Liu Jigen. Temperature Tracing Method for Groundwater Flux Under Surface Warming [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(3): 773-783.
[5] Chen Xiong, Zhang Yan, Wang Yiwei, Ye Shujun, Wu Jichun, Yu Jun, Gong Xulong. Numerical Simulation of Three Dimensional Groundwater Flow in Three Coastal Cities of North Jiangsu [J]. Journal of Jilin University(Earth Science Edition), 2018, 48(5): 1434-1450.
[6] Huang Xing, Lu Ying, Liu Xiao, Duan XiaoFei, Zhu Limin. Impact of Groundwater Level Rising on Suspended Solids Clogging During Artificial Recharge [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(6): 1810-1818.
[7] Liu Guoqing, Wu Shiqiang, Fan Ziwu, Zhou Zhifang, Xie Chen, Wu Jingxiu, Liu Yang. Analytical Derivation on Recharge and Periodic Backwashing Process and the Variation of Recharge Pressure [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(6): 1799-1807.
[8] Yu Peng, Ma Teng, Tang Zhonghua, Zhou Wei. Feasibility of Oilfield Wastewater Disposal in the Underpressure System of Basin [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(1): 211-219.
[9] Huang Xiudong, Shu Longcang, Cui Junling,Tong Kun,Zhou Qingpeng. Test on the Characteristic of Physical Clogging During Groundwater Artificial Recharge and Derivation of Percolation Empirical Formula [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(6): 1966-1972.
[10] Chen Rongbo,Shu Longcang,Lu Chengpeng,Li Wei. Experimental Study on the Characteristic Parameters Variation of the Aquifer Caused by Aquifer Compaction [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(6): 1958-1965.
[11] He Yujiang, Lin Wenjing, Wang Guiling. In-Situ Monitoring on the Soil Water-Heat Movement of Deep Vadose Zone by TDR100 System [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(6): 1972-1979.
[12] Liu Changjun, Zhao Hua, Zhang Shunfu, Ding Liuqian. Finite Element Analysis on Unsteady Seepage Field of Groundwater Reservoir of Tailan River During the Pumping Water of the Radiation Well [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3): 922-930.
[13] Jiang Si-min, Wang Pei, Shi Xiao-qing,Zheng Mao-hui. Groundwater Contaminant Source Identification by Hybrid Hooke-Jeeves and Attractive Repulsive Particle Swarm Optimization Method [J]. Journal of Jilin University(Earth Science Edition), 2012, 42(6): 1866-1872.
[14] SU Xiao-si, GU Xiao-xi, MENG Jing-ying, ZHANG Wen-jing, WANG Han-mei, JIAO Xun. Fate and Transptort Simulation of Multi-Component Solute Under Artificial Recharge Conditions [J]. J4, 2012, 42(2): 485-491.
[15] WANG Zi-jia, DU Xin-qiang, YE Xue-yan, SONG Xiao-ming, ZHANG Jia-shuang, GAO Cui-ping. Suspended Solid Surface Clogging During Urban Stormwater Groundwater Recharge [J]. J4, 2012, 42(2): 492-498.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] CHENG Li-ren, ZHANG Yu-jie, ZHANG Yi-chun. Ordovician Nautiloid Fossils of Xainza Region,Tibet[J]. J4, 2005, 35(03): 273 -0282 .
[2] LI Bing-cheng. Preliminary Studies on Holocene Climatic In Fuping,Shaanxi Province[J]. J4, 2005, 35(03): 291 -0295 .
[3] HE Zhong-hua,YANG De-ming,WANG Tian-wu,ZHENG Chang-qing. SHRIMP U[CD*2]Pb Dating of Zircons from Two-Mica Granite in Baga Area in Gangdise Belt[J]. J4, 2005, 35(03): 302 -0307 .
[4] CHEN Li, NIE Lei, WANG Xiu-fan, LI Jin. Seismic Risk Analysis of Some Electric Power Equipment Station in Suizhong[J]. J4, 2005, 35(05): 641 -645 .
[5] JI Hong-jin,SUN Feng-yue2,CHEN Man,HU Da-qian,SHI Yan-xiang,PAN Xiang-qing. Geochemical Evaluation for Uncovered GoldBearing Structures in Jiaodong Area[J]. J4, 2005, 35(03): 308 -0312 .
[6] CHU Feng-you, SUN Guo-sheng,LI Xiao-min,MA Wei-lin, ZHAO Hong-qiao. The Growth Habit and Controlling Factors of the CobaltRich Crusts in Seamount of the Central Pacific[J]. J4, 2005, 35(03): 320 -0325 .
[7] LI Bin, MENG Zi-fang, LI Xiang-bo, LU Hong-xuan, ZHENG Min. The Structural Features and Depositional Systems of the Early Tertiary in the Biyang Depression[J]. J4, 2005, 35(03): 332 -0339 .
[8] LI Tao, WU Sheng-jun, CAI Shu-ming, XUE Huai-ping, YASUNORI Nakayama. Simulation Analysis of the Storage Capacity Based on DEM Before and After Connecting to Yangtze River in Zhangdu Lake[J]. J4, 2005, 35(03): 351 -0355 .
[9] KUANG Li-xiong,GUO Jian-hua, MEI Lian-fu, TONG Xiao-lan, YANG Li. Study on the Upheaval of the Bogeda Mountain Block from Angle of Oil and Gas Exploration[J]. J4, 2005, 35(03): 346 -0350 .
[10] ZHANG Guang-xin, DENG Wei, HE Yan, RAMSIS Salama. An Application of Hydrological Response Units in Assessment of Soil Salinization Risks[J]. J4, 2005, 35(03): 356 -0360 .