Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Volume 18, issue 2 | Copyright

Special issue: Landslide–transport network interactions

Nat. Hazards Earth Syst. Sci., 18, 687-708, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Mar 2018

Research article | 02 Mar 2018

Scale and spatial distribution assessment of rainfall-induced landslides in a catchment with mountain roads

Chih-Ming Tseng1, Yie-Ruey Chen1, and Szu-Mi Wu2 Chih-Ming Tseng et al.
  • 1Department of Land Management and Development, Chang Jung Christian University, Tainan, 71101, Taiwan (ROC)
  • 2Chen-Du Construction Limited, Taoyuan, 33059, Taiwan (ROC)

Abstract. This study focused on landslides in a catchment with mountain roads that were caused by Nanmadol (2011) and Kong-rey (2013) typhoons. Image interpretation techniques were employed to for satellite images captured before and after the typhoons to derive the surface changes. A multivariate hazard evaluation method was adopted to establish a landslide susceptibility assessment model. The evaluation of landslide locations and relationship between landslide and predisposing factors is preparatory for assessing and mapping landslide susceptibility. The results can serve as a reference for preventing and mitigating slope disasters on mountain roads.

Publications Copernicus
Special issue
Short summary
The multivariate evaluation method was applied to establish a landslide susceptibility assessment model along mountains roads. The relationships between the rainfall index, instability index, and landslide occurrence indicate that for a high instability index, even a small rainfall event could trigger a landslide. The instability index thus can effectively reflect landslide susceptibility. The results could serve as a reference for the prevention and mitigation of slope disasters on hillsides.
The multivariate evaluation method was applied to establish a landslide susceptibility...