Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-356
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
01 Nov 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Risk-based analysis of monitoring time intervals for landslide prevention
Jongook Lee1, Dong Kun Lee2, Sung-Ho Kil3, and Ho Gul Kim4 1Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul, 08826, Republic of Korea
2Research Institute of Agriculture Life Science, Seoul National University, Seoul, 08826, Republic of Korea
3Department of Ecological Landscape Architecture Design, Kangwon National University, Chuncheon, 24341, Republic of Korea
4Urban Data and Information Center, Incheon Development Institute, Incheon, 22711, Republic of Korea
Abstract. Landslide is one of the most dangerous disasters in terms of occurrence frequency and damage severity that result in loss of human life and social infrastructure. Monitoring methods based on low temporal resolution instruments such as an inclinometer or piezometer can be an effective and cost-efficient solution. The objective of this research is to analyse monitoring time intervals for low temporal resolution methods based on a risk study and to propose a plan for periodic landslide monitoring along with the different landslide hazard areas by considering the risk reduction effect. For this purpose, an equation for the probability of landslide occurrence was denoted by the concept of reliability, and the monitoring time interval was analysed quantitatively by calculating the average probability of landslide occurrence. To identity the frequency of landslide occurrence, a unit of relative temporal frequencies was adopted, and it was estimated by establishing rainfall threshold. As a case study site, Pyeongchang County was selected, where landslide inventory data are available and an increase in population and infrastructure has been observed since Pyeongchang became the host city of the 2018 winter Olympic games. The result demonstrates that the appropriate monitoring intervals can be determined by calculating the average probability of landslide occurrence, and resources can then be allocated efficiently for landslide prevention.

Citation: Lee, J., Lee, D. K., Kil, S.-H., and Kim, H. G.: Risk-based analysis of monitoring time intervals for landslide prevention, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-356, in review, 2017.
Jongook Lee et al.
Jongook Lee et al.
Jongook Lee et al.

Viewed

Total article views: 138 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
106 29 3 138 1 2

Views and downloads (calculated since 01 Nov 2017)

Cumulative views and downloads (calculated since 01 Nov 2017)

Viewed (geographical distribution)

Total article views: 138 (including HTML, PDF, and XML)

Thereof 132 with geography defined and 6 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 18 Nov 2017
Publications Copernicus
Download
Short summary
Landslide is one of the most dangerous disasters. However, it is challenging to have costly measures to manage risk from landslides.The objective of this research is to analyse monitoring time intervals for low temporal resolution methods based on a risk study and to propose a plan for periodic landslide monitoring.The result shows that the timely landslide monitoring schedule can be planned by calculating the average probability of landslide occurrence considering risk reduction effects.
Landslide is one of the most dangerous disasters. However, it is challenging to have costly...
Share