지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The purpose of this study is to evaluate the risk of cropland and man-made infrastructures in a landslide-prone area using a GIS-based method. To achieve this goal, a landslide inventory map was prepared based on aerial photograph analysis as well as field observations. A total of 550 landslides have been counted in the entire study area. For model analysis and validation, extracted landslides were randomly selected and divided into two groups. The landslide causative factors such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in the analysis. Moreover, to identify the correlation between landslides and causative factors, pixels were divided into several classes and frequency ratio was also extracted. A landslide susceptibility map was constructed using a bayesian predictive model (BPM) based on the entire events. In the cross validation process, the landslide susceptibility map as well as observation data were plotted with a receiver operating characteristic (ROC) curve then the area under the curve (AUC) was calculated and tried to extract a success rate curve. The results showed that, the BPM produced 85.8% accuracy. We believed that the model was acceptable for the landslide susceptibility analysis of the study area. In addition, for risk assessment, monetary value (local) and vulnerability scale were added for each social thematic data layers, which were then converted into US dollar considering landslide occurrence time. Moreover, the total number of the study area pixels and predictive landslide affected pixels were considered for making a probability table. Matching with the affected number, 5,000 landslide pixels were assumed to run for final calculation. Based on the result, cropland showed the estimated total risk as US $ 35.4 million and man-made infrastructure risk amounted to US $ 39.3 million.
목차
등록된 정보가 없습니다.
참고문헌 (48)
참고문헌 신청
Aleotti, P / 1999 / Landslide hazard assessment: summary review and new perspectives / Bulletin of Engineering Geology and the Environment 58:21~44
Althuwaynee, O. F / 2017 / Semiquantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City / Geomatics Natural Hazard and Risk, 8(2):706~732
Amashi, A. R / 2019 / Lecture Notes in Civil Engineering :249~258
Atkinson, P. M / 1998 / Generalized linear modelling of landslide susceptibility in the Central Apennines, Italy / Computer Geosci 24(4):373~385
S. Reza Azimi / 2018 / Landslide Risk Assessment by using a New Combination Model based on a Fuzzy Inference System Method / KSCE Journal of Civil Engineering 22(11):4263~4271
Althuwaynee, O. F / 2017 / Semiquantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City / Geomatics Natural Hazard and Risk, 8(2):706~732
Amashi, A. R / 2019 / Lecture Notes in Civil Engineering :249~258
Atkinson, P. M / 1998 / Generalized linear modelling of landslide susceptibility in the Central Apennines, Italy / Computer Geosci 24(4):373~385
S. Reza Azimi / 2018 / Landslide Risk Assessment by using a New Combination Model based on a Fuzzy Inference System Method / KSCE Journal of Civil Engineering 22(11):4263~4271
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