Comparison of Landslide Susceptibility Assessments Using Logistic Regression With a Study Site Extent Scale

Aran Yang; Hyeong-Dong Park

doi:10.32390/ksmer.2021.58.2.087

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2021 Vol.58, Issue 2 Next Page

Research Paper

Comparison of Landslide Susceptibility Assessments Using Logistic Regression With a Study Site Extent Scale 연구지역 규모에 따른 로지스틱 회귀를 이용한 산사태 위험도 평가 결과 비교

30 April 2021. pp. 87-99

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Abstract

To verify the effect of the spatial extent scale of a study area on the assessment of landslide susceptibility, three spatial extents were set for the Gyeongnam province. The landslide susceptibility results for each scale were compared using logistic regression. Twelve influencing factors and a landslide inventory map constructed from landslide occurrence information from 2010 to 2018, collected through media such as news, reports, satellite images, and aerial images, were used. The results verified that discontinuous factors with different distributions, such as lithology and soil type, have a greater influence on the difference in the results according to the scale of change. The area under the curve (AUC) value decreased as the spatial scale increased due to a variance increase in the data distribution.

Keywords

Landslide susceptibility

Logistic regression

Spatial extent

GIS

본 연구는 연구지역의 공간적 규모가 산사태 위험도 평가 결과에 미치는 영향을 확인하기 위해 경남 지역에 세 가지 규모의 연구지역을 설정하고 각 규모별로 로지스틱 회귀를 사용한 산사태 위험도 평가를 수행하여 그 결과를 비교하였다. 본 연구에서는 산사태 위험도 평가에 빈번히 사용되는 12개 인자를 사용하였으며 뉴스, 보고서, 위성영상, 항공 영상 등 매체를 통해 수집한 2010년부터 2018년까지의 산사태 발생 정보를 사용하여 산사태 인벤토리 맵을 구축하였다. 로지스틱 회귀를 통한 분석 결과, 암종, 토양 종류와 같이 규모에 따라 분포가 상이하며 연속성이 없는 인자가 산사태 위험도 평가 결과에 영향을 미칠 수 있다는 점과 규모가 커짐에 따라 자료 분포의 분산 증가로 AUC(Area Under Curve) 값이 작아짐을 확인하였다.

키워드

산사태 위험도

로지스틱 회귀

공간 규모

지리정보시스템

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Information

Publisher :The Korean Society of Mineral and Energy Resources Engineers
Publisher(Ko) :한국자원공학회
Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
Journal Title(Ko) :한국자원공학회지
Volume : 58
No :2
Pages :87-99
Received Date : 2021-02-09
Revised Date : 2021-03-22
Accepted Date : 2021-04-27
DOI :https://doi.org/10.32390/ksmer.2021.58.2.087

Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

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