한국지반환경공학회 논문집 (Journal of the Korean GEO-environmental Society)

한국지반환경공학회 (Korean Geo-Environmental Society)
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Landslide Susceptibility Analysis in Baekdu Mountain Area Using ANN and AHP Method

  • 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) ;
  • Park, Sungsik (Department of Civil Engineering, Kyungpook National Uniiversity)
  • 투고 : 2014.09.01
  • 심사 : 2014.11.10
  • 발행 : 2014.12.01
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초록

To analyze the landslide susceptibility in Baekdu mountain area in china, we get two susceptibility maps using AcrView software through weighted overlay GIS (Geographic Information System) method in this paper. To assess the landslide susceptibility, five factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, and land use. The weight value and rating value of each factor were calculated by the two different methods of AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network). Then, the weight and rating value was used to obtain the susceptibility maps. Finally, the susceptibility map shows that the very dangerous areas (0.9 or higher) were mainly distributed in the mountainous areas around JiAnShi, LinJiangShi, and HeLongShi near the china-north Korea border and in the mountainous area between the WangQingXian and AnTuXian. From the contrast two susceptibility map, we also Knew that The accuracy of landslide susceptibility map drew by ANN method was better than AHP method.

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참고문헌

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피인용 문헌

  1. Spatial Predictions of Debris Flow Susceptibility Mapping Using Convolutional Neural Networks in Jilin Province, China vol.12, pp.8, 2014, https://doi.org/10.3390/w12082079