Skip to main content

Advertisement

Log in

Subsidence prediction and susceptibility zonation for collapse above goaf with thick alluvial cover: a case study of the Yongcheng coalfield, Henan Province, China

  • Original Paper
  • Published:
Bulletin of Engineering Geology and the Environment Aims and scope Submit manuscript

Abstract

Mine collapse is a common geological hazard associated with mining areas. This study analyzes mine collapse above the Yongcheng mining area located on the Huanghuai Plain in eastern Henan Province, China. The aim is to predict surface subsidence and evaluate associated disaster risks in goaf with thick alluvial cover. The surface deformation above seven mined coalfields and six unmined coalfields was calculated using the probability integration method. The results showed that the final maximum ground subsidence would be 7.25 m for the Suburban mine and 5.3 m for the Xinzhuang mine. As part of a broader study, land subsidence was also measured over a 1-year period in 2012–2013 by interferometric point target analysis using Radarsat-2 satellite synthetic aperture radar. Interferometric displacement maps were validated with leveling data. Based on the principles of fuzzy mathematics and the analytical hierarchy process, a susceptibility assessment system was developed to define the risk from mine collapse for the coalfields across the mining area. A hazard-zoning map was also produced using the spatial analysis function of ArcGIS. These research results can serve as a reference for farmland reclamation, town planning, and the restoration of the natural environment in this area.

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
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Alejano LR, Ramirez-Oyanguren P, Taboada J (1999) FDM predictive methodology for subsidence due to flat and inclined coal seam mining. Int J Rock Mech Min 36:475–491

    Article  Google Scholar 

  • Altun AO, Yilmaz I, Yildirim M (2010) A short review on the surficial impacts of underground mining. Sci Res Essays 5(21):3206–3212

    Google Scholar 

  • Ao MS, Wang CC, Xie RA et al (2015) Monitoring the land subsidence with persistent scatterer interferometry in Nansha District, Guangdong, China. Nat Hazards 75:2947–2964

    Article  Google Scholar 

  • Bawden GW, Sneed M, Stork SV et al (2005) Measuring human-induced land subsidence from space, U.S. Geological Survey Fact Sheet FS-069-03, Sacramento

  • Bell FG, Bruyn IA (1997) Subsidence problems due to abandoned pillar workings in coal seams. Bull Eng Geol Environ 57:225–237

    Article  Google Scholar 

  • Brady BHG, Brown ET (2011) Rock Mechanics for Underground Mining, 3rd edn. Science Press, Beijing

    Google Scholar 

  • Cheng AB, Wang XM, Liu HQ (2011) Application of grey hierarchy analysis in the stability evaluation of underground mined-out areas (in Chinese). Metal Mine 416(2):17–21

    Google Scholar 

  • Choi JK, Kim KD, Lee S et al (2010) Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea. Environ Earth Sci 59:1009–1022

    Article  Google Scholar 

  • Dong SC, Sergey S, Yin HW et al (2015) Spatio-temporal analysis of ground subsidence due to underground coal mining in Huainan coalfield, China. Environ Earth Sci 73:5523–5534

    Article  Google Scholar 

  • Fan HD, Gu W, Qin Y et al (2014) A model for extracting large deformation mining subsidence using D-InSAR technique and probability integral method. Trans Nonferrous Met Soc China 24:1242–1247

    Article  Google Scholar 

  • Kwiesielewicz M (1998) A note on the fuzzy extension of Saaty’s priority theory. Fuzzy Set Syst 95:161–172

    Article  Google Scholar 

  • Lee S, Oh HJ, Kim KD (2010) Statistical spatial modeling of ground subsidence hazard near an abandoned underground coal mine. Disaster Adv. 3:11–23

    Google Scholar 

  • Litwiniszyn J (1958) Statistical methods in the mechanics of granular bodies. Rheol Acta 2–3:146–150

    Article  Google Scholar 

  • Loupasakis C, Angelitsa V, Rozos D et al (2014) Mining geohazards-land subsidence caused by the dewatering of opencast coal mines: the case study of the Amyntaio coal mine, Florina, Greece. Nat Hazards 70:675–691

    Article  Google Scholar 

  • Maker BR (2010) Review of approaches to mapping of hazards arising from subsidence into cavities. Bull Eng Geol Environ 69:159–183

    Article  Google Scholar 

  • Marschalko M, Duraj M (2009) Knowledge of engineering-geological conditions as decisive factor for good-quality and functional foundation of potential structures. In: SGEM 2009: 9th Internatıonal Multidisciplinary Scientific Geoconference, Vol I. Conference Proceeding-Modern Management of Mine Producing, Geology and Environmental Protection 261–269

  • Marschalko M, Juris P, Tomas P (2008) Selected geo-factors of flood land, radon risk, slope deformations and undermining as significant limiting conditions in land-use planning. In: SGEM 2008: 8th International Multidisciplinary Scientific Geoconference, Vol I. Conference Proceeding-Modern Management of Mine Producing, Geology and Environmental Protection, pp 201–210

  • Marschalko M, Bednarik M, Yilmaz I, Bouchal T, Kubecka K (2012) Evaluation of subsidence due to underground coal mining: an example from the Czech Republic. Bull Eng Geol Environ 71(1):105–111

    Article  Google Scholar 

  • Masato F (2007) Application of interferometric point target analysis to Izu-Oshima Volcano, Japan. In: Envisat symposium 2007, Montreux, 23–27 April 2007. European Space Agency

  • Massonnet D, Rossi M, Carmona C et al (1993) The displacement field of the Landers earthquake mapped by radar interferometry. Nature 364(6433):138–142

  • Massonnet D, Thatcher W, Vadon H (1996) Detection of postseismic fault-zone collapse following the Landers earthquake. Nature 382:612–616

  • Nie L, Zhang M, Jian H (2013) Analysis of surface subsidence mechanism and regularity under the influence of seism and fault. Nat Hazards 66:773–780

    Article  Google Scholar 

  • Ouchi K (2013) Recent trend and advance of Synthetic Aperture Radar with selected topics. Remote Sens 5(2):716–807

    Article  Google Scholar 

  • Park I, Choi J, Lee MJ et al (2012) Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping. Comput Geosci 48:228–238

    Article  Google Scholar 

  • Saygin A, Mahmut A, Fusun BS et al (2014) Monitoring of coal mining subsidence in peri-urban area of Zonguldak city (NW Turkey) with persistent scatterer interferometry using ALOS-PALSAR. Environ Earth Sci 71:4081–4089

    Article  Google Scholar 

  • Song JJ, Han CJ, Li P et al (2012) Quantitative prediction of mining subsidence and its impact on the environment. Int J Min Sci Technol 22:69–73

    Article  Google Scholar 

  • Strozzi T, Re L, Valenti G et al (2005) SAR interferometric point target analysis of slope instabilities in the community of Biasca, Switzerland. In: Fringe ATSR workshop 2005, European Space Agency

  • Teatini P, Tosi L, Strozzi T (2012a) Comment on “Recent subsidence of the Venice Lagoon from continuous GPS and interferometric synthetic aperture radar In: Bock Y, Wdowinski S, Ferretti A, Novali F, Fumagalli A. Geochem Geophys Geosyst 13:Q07008

  • Teatini P, Tosi L, Strozzi T et al (2012b) Resolving land subsidence within the Venice Lagoon by persistent scatterer SAR interferometry. Phys Chem Earth 40–41:72–79

    Article  Google Scholar 

  • Tosi L, Teatini P, Strozzi T et al (2010) Ground surface dynamics in the northern Adriatic coastland over the last two decades. Rend Fis Acc Lincei 21(1):115–129

    Article  Google Scholar 

  • Tosi L, Teatini P, Bincoletto L et al (2012) Integrating geotechnical and interferometric SAR measurements for secondary compressibility characterization of coastal soils. Surv Geophys 33(5):907–926

    Article  Google Scholar 

  • Vanlaarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Set Syst 11:229–241

    Article  Google Scholar 

  • Wang H, Li Z, Yang WM et al (2008) Formation mechanism of the ground collapse in mined-out area of coalmine underlying loose loess deposit (in Chinese). Geosci 22(5):877–883

    Google Scholar 

  • Wang N, Wu K, Qin ZF (2012) Prediction model of mining subsidence with probability integration method based on thickness influence of loose layer (in Chinese). Coal Sci Technol 40(7):10–16

    Google Scholar 

  • Wegmuller U, Walter D, Spreckels V, Werner CL (2010) Nonuniform ground motion monitoring with Terra SAR-X persistent scatterer interferometry. IEEE Trans Geosci Remote Sens 48(2):89–904

    Article  Google Scholar 

  • Werner CL, Wegmuller U, Strozzi T, Wiesmann A (2003) Interferometric point target analysis for deformation mapping. In: Proceedings of international geoscience remote sensing symposium 2003, Toulouse, 21–25 July 2003, vol 7, pp 4362–364

  • Wu G, Wei D, Zhou ZD et al (2014) A summary of study on ecological restoration technology of large coal bases construction in China (in Chinese). Acta Ecol Sin 34(11):2812–2820

    Google Scholar 

  • Xu HF, Liu B, Fang ZG (2014) New grey prediction model and its application in forecasting land subsidence in coal mine. Nat Hazards 71:1181–1194

    Article  Google Scholar 

  • Yang HL, Peng JH (2015) Monitoring urban subsidence with multi-master radar interferometry based on coherent targets. J Indian Soc Remote Sens 43(3):529–538

    Article  Google Scholar 

  • Yang HL, Peng JH, Wang BC et al (2015) Ground deformation monitoring of Zhengzhou city from 2012 to 2013 using an improved IPTA. Nat Hazards. doi:10.1007/s11069-015-1953-x

    Google Scholar 

  • Yilmaz I (2007) GIS based susceptibility mapping of karst depression in gypsum: a case study from Sivas basin (Turkey). Eng Geol 90(1–2):89–103

    Article  Google Scholar 

  • Yilmaz I, Marschalko M, Bednarik M (2011) Gypsum collapse hazards and importance of hazard mapping. Carbonates Evaporites 26(2):193–209

    Article  Google Scholar 

  • Zebker HA, Rosen PA, Goldstein RM et al (1994) On the derivation of coseismic displacement fields using differential radar interferometry: the landers earthquake. J Geophys Res Solid Earth (1978–2012) 99(B10):1961–9634

  • Zhang JX, Zhang Q, Sun Q et al (2015a) Surface subsidence control theory and application to backfill coal mining technology. Environ Earth Sci. doi:10.1007/s12665-015-4133-0

    Google Scholar 

  • Zhang JZ, Huang HJ, Bi HB (2015b) Land subsidence in the modern Yellow River Delta based on InSAR time series analysis. Nat Hazards 75:2385–2397

    Article  Google Scholar 

  • Zhou DW, Wu K, Cheng GL (2015) Mechanism of mining subsidence in coal coalfield with thick alluvium soil in China. Arab J Geosci 8:1855–1867

    Article  Google Scholar 

  • Zhu GY, Xu ZH, Xie C et al (2014) Study on influence functions of surface residual movement and deformation above old goaf (in Chinese). Chin J Rock Mech Eng 33(10):1962–1970

    Google Scholar 

  • Zou YF, Deng KZ, Ma WM (2003) Mining subsidence engineering (in Chinese). China University of Mining and Technology Press

Download references

Acknowledgments

This project was supported by the National Natural Science Foundation of China (Grant Numbers 41572301, 61427802 and 41330634) and the Fundamental Research Funds for the Central Universities of China (Grant Number 2-9-2015-071). The authors appreciate the financial support of these organizations.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bin Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, B., Zhang, L., Yang, H. et al. Subsidence prediction and susceptibility zonation for collapse above goaf with thick alluvial cover: a case study of the Yongcheng coalfield, Henan Province, China. Bull Eng Geol Environ 75, 1117–1132 (2016). https://doi.org/10.1007/s10064-015-0834-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10064-015-0834-6

Keywords

Navigation