- 인공신경망을 이용한 산사태 취약성 분석
- Landslide Susceptibility Analysis Using Artificial Neural Networks
- ㆍ 저자명
- 이사로,류주형,민경덕,원중선
- ㆍ 간행물명
- 자원환경지질
- ㆍ 권/호정보
- 2000년|33권 4호|pp.333-340 (8 pages)
- ㆍ 발행정보
- 대한자원환경지질학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural network and apply the newly developed techniques for assessment of landslide susceptibility to study areas, Yongin. Landslide locations detected from interpretation of aerial photo and field survey, and topographic, soil and geological maps of the Yongin area were collected. The data of the locations of land-slide, slope, soil texture, topography and lithology were constructed into spatial database using GIS. Using the factors, landslide susceptibility was analyzed by artificial neural network methods. The results of the analysis were verified using the landslide location data. The validation results showed satisfactory agreement between the susceptibility map and landslide location data.