DOI QR코드

DOI QR Code

Landslide Susceptibility Evaluation in Yanbian Region

  • Liu, Xiuxuan (Department of Civil Engineering, Yanbian University) ;
  • Quan, Hechun (Department of Civil Engineering, Yanbian University) ;
  • Moon, Hongduk (Department of Civil Engineering, Gyeongnam National University of Science and Technology) ;
  • Jin, Guangri (Department of Civil Engineering, Yanbian University)
  • Received : 2016.09.20
  • Accepted : 2016.12.28
  • Published : 2017.02.01

Abstract

In order to evaluate landslide susceptibility in Yanbian region, this study analyzed 7 factors related to landslide occurrence, such as soil, geology, land use, slope, slope aspect, fault and river by Analytic Hierarchy Process (AHP), and calculated the weights of these 7 hazard-induced factors, determined the internal weights and the relative weights between various factors. According to these weights, combining the Remote Sensing technology (RS) with Geographic Information System technology (GIS), the selected area was evaluated by using GIS raster data analysis function, then landslide susceptibility chart was mapped out. The comprehensive analysis of AHP and GIS showed that there has unstable area with the potential risk of sliding in the research area. The result of landslide susceptibility agrees well with the historical landslides, which proves the accuracy of adopted methods and hazard-induced factors.

Keywords

References

  1. Carrara, A., Cardinali, M., Detti, R. and Guzzetti, F. (1991), GIS techniques and statistical models in evaluating landslide hazard, [J]. Earth Surface Processes and Landforms, Vol. 16, No. 5, p. 427. https://doi.org/10.1002/esp.3290160505
  2. Han, Y. B. (2001), Yanbian area along the highway landslide research, Journal of changchun university of science and technology, Vol. 31, pp. 85-88.
  3. Liu, G. C. (1993), Regional stability of engineering geology, [M]. Jilin:Jilin university press, pp. 8-12.
  4. Ma, L., Zhao, Y. N. and Li, L. J. (2014), Based on GIS spatial analysis of geological hazards of antu county, jilin province, [J]. Geological hazards and environmental protection, Vol. 25, No. 3, pp. 88-93.
  5. Saaty, T. L. (1980), The Analytic Hierarchy Process, [M]. New York: McGraw-Hill, pp. 11-76.
  6. Tang, C. (2004), Landslide risk planning, Journal of natural disasters, Vol. 13, No. 3, pp. 8-12.
  7. Tang, G. A., Liu, X. J. and Lv, G. N. (2010), Geographic information system course, [M]. Beijing : Higher education press, pp. 213-214.
  8. Wooten, and Richard, M. (2006), Landslide hazards and landslide hazard mapping in North Carolina, Geological Society of America, March, Vol. 38, No. 3, pp. 28-29.
  9. Xia, Y. Y. and Li, M. (2002), Slope stability evaluation methods of research and development trend, Journal of rock mechanics and engineering, Vol. 21, No. 7, pp. 1087-1091.
  10. Xu, C., Dai, F. C., Yao, X. and Zhao, Z. (2010), Based on GIS uncertainty factor analysis method of the wenchuan earthquake landslide prone evaluation, Journal of engineering geology, Vol. 18, No. 1, pp. 15-26.
  11. Zhang, Y. F. and Quan, H. C. (2013), Baekdu mountain region landslides prone degree analysis based on GIS, Journal of yanbian university, Vol. 39, No. 4, pp. 85-288.