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Landslide hazard assessment for Batxat area of Vietnam using GIS-based spatial prediction modelsстатья
- Авторы: Van Duong Binh, Fomenko I.K., Ha Viet Nhu, Phuong Huy Nguyen, Sirotkina O.N., Nguyen Kien Trung, Ha Ngoc Thi Pham
- Журнал: Journal of Mining and Earth Sciences
- Том: 63
- Номер: 5a
- Год издания: 2022
- Издательство: Hanoi University of Mining and Geology
- Местоположение издательства: Vietnam
- Первая страница: 70
- Последняя страница: 82
- Аннотация: Batxat is a mountainous district in the northwest of Laocai province that is often impacted by natural disasters such as landslides and debris flows. Therefore, landslide hazard assessment (LHA) has been a significant task for planning, economic development, and minimizing human and property damage. In this study, landslide hazard maps were established using the Analytic Hierarchy Process (AHP) and the combined Analytic Hierarchy Process - Frequency Ratio (AHP&FR) models. Ten landslide-related factors were selected, including elevation, slope, distance to road, distance to drainage, land use and land cover (LULC), average monthly rainfall lithology, aspect, distance to fault, and relative relief. The performance of the models was determined using the area under the curve (AUC) of the receiver operating characteristic (ROC), the seed cell area index (SCAI), and the precision of the predicted results (P). The AUC values for the success rate of these models were 0.72 and 0.75, and for the prediction rate were 0.67 and 0.70, respectively. The performance evaluation results of the models showed that although both the AHP and combined AHP&FR techniques are effective for landslide hazard mapping, the combined AHP&FR model, on the other hand, produces more accurate outcomes than the AHP model.
- Добавил в систему: Фоменко Игорь Константинович