层次分析法(AHP)与频率比法(FR)在滑坡易感性评价中的比较。以延白省文彦区为例

Dong Thanh Khuc, Hang Ha, Phong Duc Bui, Quang Xuan Truong, A. Tran, H. Q. Pham, Trong Dinh Tran, Cong Chi Nguyen, Huong Thi Tran, Anh Van Truong, Minh Hong Thi Tran
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引用次数: 0

摘要

山体滑坡是越南北部山区经常发生的自然灾害。本研究旨在比较层次分析法(AHP)和频率比(FR)模型在地理信息系统(GIS)支持下绘制滑坡易感性地图的有效性。研究区为雁白省万雁区,该地区每年发生山体滑坡的频率较高。模型采用岩性图、坡度、坡向、平面曲率、剖面曲率、地形湿度指数、断层网、河网、路网和土地覆盖数据等10个因子作为变量。本研究采用包含211个滑坡点的滑坡统计报告建立频率比模型,采用基于专家意见的两两比较法确定AHP方法的权重。结果得出了滑坡易感性的空间分布,分为极低、低、中、高、极高五个等级。该研究使用曲线下面积(AUC)来评估两种模型的性能。结果表明,除了滑坡易感性图与以往滑坡位置的相似性外,使用频率比方法的模型比层次分析法模型的性能高出4.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison analytical hierarchy process (AHP) and frequency ratio (FR) method in assessment of landslide susceptibility. A case study in Van Yen district, Yen Bai province
Landslides are a natural disasters that frequently occur in the northern mountainous region of Vietnam. This study aims to compare the efectiveness of the Analytical Hierarchy Process (AHP) and Frequency Ratio (FR) modeling in mapping susceptibility to landslides with the support of a Geographic Information System (GIS). The study area is Van Yen district in Yen Bai province, which experiences a high frequency of landslides annually. Ten factors were used as variables in the model, including the lithology map, slope, aspect, plan curvature, profile curvature, topographic wetness index, fault network, river network, road network, and land cover data. The study used a landslide statistical report that including 211 landslide points to create the frequency ratio model, while the pairwise comparison method based on expert opinion was used to establish the weights for the AHP method. The results produced a spatial distribution of landslide susceptibility with five levels: very low, low, moderate, high, and very high. The study used the Area Under the Curve (AUC) to evaluate the performance of both models. The results indicated that the model using the Frequency Ratio method outperformed the Analytical Hierarchy Process model by 4.7% in addition to the similarity between landslide susceptibility maps and past landslide locations.
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