Skip to main content
Log in

Risk evaluation of geological hazards of mountainous tourist area: a case study of Mengshan, China

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Risk evaluation is crucial for the construction projects in the areas with high risk of geological hazards. In this paper, based on the projects of Mengshan tourism area, geological hazard risk evaluation model is put forward based on the analysis of geological and environmental conditions as well as characteristics of construction works. Firstly, typical geological hazards of the area for evaluation are determined as collapse and landslide. And then, based on the comprehensive evaluation, 19 collapse zones and three landslide zones are determined in the area for evaluation. They are all stable at present in general, but some of them have high risk to collapse or landslide under rainstorm, weathering or other external forces in the future. At last, five regions are defined as dangerous, including three regions at level 1 and two regions at level 2. At the same time, some effective engineering measures are introduced to prevent the geological disasters according to the natural conditions and inducing factors of the hazards. Methods, procedure and the result put forward by the paper are useful and effective in risk evaluation of geological hazards, especially for the hilly and mountainous area similar as this case.

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

Similar content being viewed by others

References

  • Hadji R, Limani Y et al (2013) Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: a case study of Souk Ahras region, NE Algeria. Quat Int 302:224–237

    Article  Google Scholar 

  • Hongkai C (2006) Theory of unstable rock mass prevention. Seismology Press, Beijing. ISBN 7502830472

    Google Scholar 

  • Ifelola EO (2012) Evaluation of slope stability in open pit mine and its effects. Adv Mater Res 367:567–574

    Article  Google Scholar 

  • Jibson RW, Harp EL, Michael JA (2000) A method for producing digital probabilistic seismic landslide hazard maps. Eng Geol 58(3, 4):271–289

    Article  Google Scholar 

  • Jibson W, Edwin RW, Harp L (2012) Extraordinary distance limits of landslides triggered by the 2011 Mineral, Virginia, Earthquake. Bull Seismol Soc Am 102(6):2368–2377

    Article  Google Scholar 

  • Keefer DK (1984) Landslides caused by earthquakes. Geol Soc Am Bull 95(4):406–421

    Article  Google Scholar 

  • Kincal C (2014) Application of two new stereographic projection techniques to slope stability problems. Int J Rock Mech Min Sci 66:136–150

    Google Scholar 

  • Luo Y, Zhang L, Zhang Y (1998) Method of geological disaster assessment. Geological Publishing House, Beijing

    Google Scholar 

  • Mikami H, Uchitomi N, Toyoda N (1988) Analysis of planar channeling effects on the threshold voltage uniformity of GaAs metal-semiconductor field-effect transistors using stereographic projection. J Appl Phys 64:610–613

    Article  Google Scholar 

  • Ministry of land and resources of China (2004) Notice of the Ministry of land and resources on strengthening risk assessment works of geological disasters. Available at http://wenku.baidu.com/link?url=PchzLGK7s0vRcQTsJx7JnaH_PygSeq3vSBDdl2-gEdq5OKfxu7VOhbqPJ_3D6uVxeOU1WoC-10t0UU3zkAbzGSJf907DzNGJxasQC8PAooO (in Chinese)

  • Miscevi P, Vlastelica G (2014) Impact of weathering on slope stability in soft rock mass. J Rock Mech Geotech Eng 6:240–250

    Article  Google Scholar 

  • Oprea J (2003) Differential geometry and applications. Prentice Hall, Englewood Cliffs. ISBN 0-13-065246-6

    Google Scholar 

  • Paulin GL et al (2014) A GIS method for landslide inventory and susceptibility mapping in the Rio El Estado watershed, Pico de Orizaba volcano, Mexico. Nat Hazards 71(1):229–241

    Article  Google Scholar 

  • Pourghasemi H, Pradhan B et al (2013) A comparative assessment of prediction capabilities of Dempster-Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS. Geomat Nat Hazards Risk 4(2):93–118

    Article  Google Scholar 

  • Ruan S, Huang R (2001) Application of GIS-based information model on assessment of geological hazards risk. J Chengdu Univ Technol 28(1):89–92

    Google Scholar 

  • Shi G, Wang J, Yang C (2013) Forecasting Major geological hazards about construction projects of Mengshan lead-zinc mining. Appl Mech Mater 353–356:1171–1174

    Article  Google Scholar 

  • Spivak M (1999) A comprehensive introduction to differential geometry, vol IV. Publish or Perish, Houston. ISBN 0-914098-73-X

    Google Scholar 

  • Xianchao LU, Zhanhui QING, Tuo FAN (2006) Study on prediction of geological disaster distribution in Guangdong Province. Chin J Rock Mech Eng 25(S2):3405–3411

    Google Scholar 

  • Xiong Y, Zeng G-M, Chen GQ et al (2007) Combining AHP with GIS in synthetic evaluation of eco-environment quality—a case study of Hunan Province, China. Gecol Model 209:97–109

    Article  Google Scholar 

  • Yu B, Pan W, Song J et al (2012) Risk zonation and evaluation of landslide geohazards in Hangzhou. Rock Soil Mech 33(S1):193–199

    Google Scholar 

  • Zhang H, Wang X, Yin H et al (2011) Threshold regressive model and cluster analysis of sediment-related disaster. J Jilin Univ (Earth Sci Ed) 41(2):529–535

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shao-Hui Peng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peng, SH., Wang, K. Risk evaluation of geological hazards of mountainous tourist area: a case study of Mengshan, China. Nat Hazards 78, 517–529 (2015). https://doi.org/10.1007/s11069-015-1724-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-015-1724-8

Keywords

Navigation