Skip to main content
Log in

Numerical simulation of the land subsidence induced by groundwater mining

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

Land subsidence has become a widespread engineering geological problem, which can quickly induce many derived disasters. Over-exploitation of groundwater is one of the main factors of urban land subsidence. There is severe land subsidence in Jining, mainly induced by groundwater over-extraction. Therefore, the numerical simulation method is used in this paper to analyze and predict the law of land subsidence in Jining. Combined with the engineering geological and hydrogeological conditions of Jining City, a three-dimensional fluid–solid coupling model of land subsidence was established by using COMSOL software. The numerical results were verified using site monitoring data. The article predicts the land subsidence in the study area in 2030. In 2030, the maximum land subsidence is 224 mm. And this paper analyzes the land subsidence pattern under different groundwater extraction amounts. The results show that the land subsidence in the study area is effectively alleviated under the condition of reducing water extraction by 30%. It provides a basis for preventing and controlling land subsidence in Jining city. It is proved that land subsidence caused by groundwater extraction positively correlates with the pumping time and amount of water pumped.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig.1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availability

The datasets generated during and/or analysed during the current study are not publicly available due to urban land subsidence data confidentiality. Still, they are available from the corresponding author on reasonable request.

References

  1. Rahmati, O., Golkarian, A., Biggs, T., Keesstra, S., Mohammadi, F., Daliakopoulos, I.N.: Land subsidence hazard modeling: machine learning to identify predictors and the role of human activities. J. Environ. Manag. 236, 466–480 (2019)

    Article  Google Scholar 

  2. Castellazzi, P., Garfias, J., Martel, R., Brouard, C., Rivera, A.: InSAR to support sustainable urbanization over compacting aquifers: the case of Toluca Valley, Mexico. Int. J. Appl. Earth Observ. Geoinf. 63, 33–44 (2017)

    Google Scholar 

  3. Ding, P., Jia, C., Di, S., Wang, L., Bian, C., Yang, X.: Analysis and prediction of land subsidence along significant linear engineering. Bull. Eng. Geol. Env. 79(10), 5125–5139 (2020)

    Article  Google Scholar 

  4. Morton, R.A., Bernier, J.C., Barras, J.A.: Evidence of regional subsidence and associated interior wetland loss induced by hydrocarbon production, Gulf Coast region, USA. Environ. Geol. 50(2), 261–274 (2006)

    Article  Google Scholar 

  5. Bell, F.G., Stacey, T.R., Genske, D.D.: Mining subsidence and its effect on the environment; some differing examples. Environ. Geol. (Berlin). 40(1–2), 135–152 (2000)

    Article  Google Scholar 

  6. Jia, C., Zhang, Y., Han, J., Xu, X.: Susceptibility area regionalization of land subsidence based on extenics theory. Clust. Comput. 20, 53–66 (2017)

    Article  Google Scholar 

  7. Herrera-García, G., Ezquerro, P., Tomás, R., Béjar-Pizarro, M., López-Vinielles, J., Rossi, M., et al.: Mapping the global threat of land subsidence. Science (American Association for the Advancement of Science). 371(6524), 34–36 (2021)

    Article  Google Scholar 

  8. Conway, B.D.: Land subsidence and earth fissures in south-central and southern Arizona, USA. Hydrogeol. J. 24(3), 649–655 (2016)

    Article  MathSciNet  Google Scholar 

  9. Chaussard, E., Wdowinski, S., Cabral-Cano, E., Amelung, F.: Land subsidence in central Mexico detected by ALOS InSAR time-series. Remote Sens. Environ. 140, 94–106 (2014)

    Article  Google Scholar 

  10. Abidin, H.Z., Gumilar, I., Andreas, H., Murdohardono, D., Fukuda, Y.: On causes and impacts of land subsidence in Bandung Basin, Indonesia. Environ. Earth Sci. 68(6), 1545–1553 (2013)

    Article  Google Scholar 

  11. Phien-Wej, N., Giao, P.H., Nutalaya, P.: Land subsidence in Bangkok, Thailand. Eng. Geol. 82(4), 187–201 (2006)

    Article  Google Scholar 

  12. Gong, X., Geng, J., Sun, Q., Gu, C., Zhang, W.: Experimental study on pumping-induced land subsidence and earth fissures: a case study in the Su-Xi-Chang region, China. Bull. Eng. Geol. Environ. 79(9), 4515–4525 (2020)

    Article  Google Scholar 

  13. Shen, S., Xu, Y.: Numerical evaluation of land subsidence induced by groundwater pumping in Shanghai. Can. Geotech. J. 48(9), 1378–1392 (2011)

    Article  Google Scholar 

  14. Qin, H., Andrews, C.B., Tian, F., Cao, G., Luo, Y., Liu, J., et al.: Groundwater-pumping optimization for land-subsidence control in Beijing plain, China. Hydrogeol. J. 26(4), 1061–1081 (2018)

    Article  Google Scholar 

  15. Guo, J., Hu, J., Li, B., Zhou, L., Wang, W.: Land subsidence in Tianjin for 2015 to 2016 revealed by the analysis of Sentinel-1A with SBAS-InSAR. J. Appl. Remote Sens. 11(2), 26024 (2017)

    Article  Google Scholar 

  16. Wang, Y., Wang, Z., Cheng, W.: A review on land subsidence caused by groundwater withdrawal in Xi’an, China. Bull. Eng. Geol. Env. 78(4), 2851–2863 (2019)

    Article  Google Scholar 

  17. Ma, R., Wang, Y., Ma, T., Sun, Z., Yan, S.: The effect of stratigraphic heterogeneity on areal distribution of land subsidence at Taiyuan, northern China. Environ. Geol. 50(4), 551–568 (2006)

    Article  Google Scholar 

  18. Figueroa-Miranda, S., Tuxpan-Vargas, J., Alfredo Ramos-Leal, J., Manuel Hernandez-Madrigal, V., Irene Villasenor-Reyes, C.: Land subsidence by groundwater over-exploitation from aquifers in tectonic valleys of Central Mexico: a review. Eng. Geol. 246, 91–106 (2018)

    Article  Google Scholar 

  19. Galloway, D.L., Burbey, T.J.: Review: regional land subsidence accompanying groundwater extraction. Hydrogeol. J. 19(8), 1459–1486 (2011)

    Article  Google Scholar 

  20. Xu, Y., Shen, S., Cai, Z., Zhou, G.: The state of land subsidence and prediction approaches due to groundwater withdrawal in China. Nat. Hazards 45(1), 123–135 (2008)

    Article  Google Scholar 

  21. Li, J.: Transient radial movement of a confined leaky aquifer due to variable well flow rates. J. Hydrol. 333(2–4), 542–553 (2007)

    Article  Google Scholar 

  22. Biot, M.A.: General theory of three-dimensional consolidation. J. Appl. Phys. 12(2), 155–164 (1941)

    Article  MATH  Google Scholar 

  23. Mahmoudpour, M., Khamehchiyan, M., Nikudel, M.R., Ghassemi, M.R.: Numerical simulation and prediction of regional land subsidence caused by groundwater exploitation in the southwest plain of Tehran, Iran. Eng. Geol. 201, 6–28 (2016)

    Article  Google Scholar 

  24. Jafari, F., Javadi, S., Golmohammadi, G., Karimi, N., Mohammadi, K.: Numerical simulation of groundwater flow and aquifer-system compaction using simulation and InSAR technique: Saveh basin, Iran. Environ. Earth Sci. 75(9), 1–10 (2016)

    Article  Google Scholar 

  25. Guzy, A., Malinowska, A.: State of the art and recent advancements in the modelling of land subsidence induced by groundwater withdrawal. Water 12(7), 2051 (2020)

    Article  Google Scholar 

  26. Qu, F., Lu, Z., Zhang, Q., Bawden, G.W., Kim, J., Zhao, C., et al.: Mapping ground deformation over Houston-Galveston, Texas using multi-temporal InSAR. Remote Sens. Environ. 169, 290–306 (2015)

    Article  Google Scholar 

  27. Lo W., Purnomo S. N., Dewanto B. G., Sarah D., Sumiyanto: Integration of numerical models and InSAR techniques to assess land subsidence due to excessive groundwater abstraction in the coastal and lowland regions of Semarang City. Water (Basel) 14(2), 201 (2022)

  28. Bajni, G., Apuani, T., Beretta, G.P.: Hydro-geotechnical modelling of subsidence in the Como urban area. Eng. Geol. 257, 105144 (2019)

    Article  Google Scholar 

  29. Sayyaf, M., Mahdavi, M., Barani, O.R., Feiznia, S., Motamedvaziri, B.: Simulation of land subsidence using finite element method: Rafsanjan plain case study. Nat. Hazards 72(2), 309–322 (2014)

    Article  Google Scholar 

  30. Cui, Y., Su, C., Shao, J., Wang, Y., Cao, X.: Development and application of a regional land subsidence model for the plain of Tianjin. J. Earth Sci. 25(3), 550–562 (2014)

    Article  Google Scholar 

  31. Shi, X., Wu, J., Ye, S., Zhang, Y., Xue, Y., Wei, Z., et al.: Regional land subsidence simulation in Su-Xi-Chang area and Shanghai City, China. Eng. Geol. 100(1–2), 27–42 (2008)

    Article  Google Scholar 

  32. Hu, B., Zhou, J., Xu, S., Chen, Z., Wang, J., Wang, D., et al.: Assessment of hazards and economic losses induced by land subsidence in Tianjin Binhai new area from 2011 to 2020 based on scenario analysis. Nat. Hazards 66(2), 873–886 (2013)

    Article  Google Scholar 

  33. Giao, P.H., Phien-Wej, N., Honjo, Y.: FEM quasi-3D modelling of responses to artificial recharge in the Bangkok multiaquifer system. Environ. Model. Softw. 14(2–3), 141–151 (1999)

    Google Scholar 

  34. Larson, K., Basagaoglu, H., Marino, M.: Prediction of optimal safe ground water yield and land subsidence in the Los Banos-Kettleman City area, California, using a calibrated numerical simulation model. J. Hydrol. 242(1–2), 79–102 (2001)

    Article  Google Scholar 

Download references

Acknowledgements

Research in this paper is supported by the National Natural Science Foundation of China (Grant Numbers 41877239, 51379112, 51422904, 40902084, and 41772298), Fundamental Research Fund of Shandong University (Grant Number 2018JC044), and the Natural Science Foundation of Shandong Province (Grant Numbers JQ201513 and 2019GSF111028).

Author information

Authors and Affiliations

Authors

Contributions

HC: software, theory, writing—original draft preparation, reviewing, visualization. YX: conceptualization, methodology, writing—original draft preparation, funding acquisition. DQ: reviewing, editing.

Corresponding author

Correspondence to Yiguo Xue.

Ethics declarations

Competing interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, H., Xue, Y. & Qiu, D. Numerical simulation of the land subsidence induced by groundwater mining. Cluster Comput 26, 3647–3656 (2023). https://doi.org/10.1007/s10586-022-03771-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-022-03771-4

Keywords

Navigation