A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

被引:86
作者
Dieu Tien Bui [1 ,2 ]
Pradhan, Biswajeet [4 ]
Revhaug, Inge [1 ]
Duy Ba Nguyen [2 ]
Ha Viet Pham [3 ]
Quy Ngoc Bui [2 ]
机构
[1] Norwegian Univ Life Sci, Dept Math Sci & Technol, POB 5003-IMT, N-1432 As, Norway
[2] Hanoi Univ Min & Geol, Fac Surveying & Mapping, Hanoi, Vietnam
[3] Vietnam Inst Geosci & Mineral Resources, Dept Tecton & Geomorphol, Hanoi, Vietnam
[4] Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Serdang 43400, Selangor Darul, Malaysia
关键词
ARTIFICIAL NEURAL-NETWORKS; SUPPORT VECTOR MACHINE; HOA BINH PROVINCE; LOGISTIC-REGRESSION; DEMPSTER-SHAFER; RISK-ASSESSMENT; DECISION-TREE; SUSCEPTIBILITY; HAZARD; MOUNTAINS;
D O I
10.1080/19475705.2013.843206
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The main objective of this study is to investigate potential application of an integrated evidential belief function (EBF)-based fuzzy logic model for spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). First, a landslide inventory map was constructed from various sources. Then the landslide inventory map was randomly partitioned as a ratio of 70/30 for training and validation of the models, respectively. Second, six landslide conditioning factors (slope angle, slope aspect, lithology, distance to faults, soil type, land use) were prepared and fuzzy membership values for these factors classes were estimated using the EBF. Subsequently, fuzzy operators were used to generate landslide susceptibility maps. Finally, the susceptibility maps were validated and compared using the validation dataset. The results show that the lowest prediction capability is the fuzzy SUM (76.6%). The prediction capability is almost the same for the fuzzy PRODUCT and fuzzy GAMMA models (79.6%). Compared to the frequency-ratio based fuzzy logic models, the EBF-based fuzzy logic models showed better result in both the success rate and prediction rate. The results from this study may be useful for local planner in areas prone to landslides. The modelling approach can be applied for other areas.
引用
收藏
页码:243 / 271
页数:29
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