Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

基于频比、确定性因子及熵指数的中国崇仁地区降雨型滑坡易发性评价

Haoyuan Hong,Wei Chen(通信作者), Chong Xu, Ahmed M. Youssef, Biswajeet Pradhan & Dieu Tien Bui

Geocarto International, Volume 32, 2017 - Issue 2; Pages 139-154, Published online: 12 Jan 2016

Abstract:The main objective of the study was to evaluate and compare the overall performance of three methods, frequency ratio (FR), certainty factor (CF) and index of entropy (IOE), for rainfall-induced landslide susceptibility mapping at the Chongren area (China) using geographic information system and remote sensing. First, a landslide inventory map for the study area was constructed from field surveys and interpretations of aerial photographs. Second, 15 landslide-related factors such as elevation, slope, aspect, plan curvature, profile curvature, stream power index, sediment transport index, topographic wetness index, distance to faults, distance to rivers, distance to roads, landuse, NDVI, lithology and rainfall were prepared for the landslide susceptibility modeling. Using these data, three landslide susceptibility models were constructed using FR, CF and IOE. Finally, these models were validated and compared using known landslide locations and the receiver operating characteristics curve. The result shows that all the models perform well on both the training and validation data. The area under the curve showed that the goodness-of-fit with the training data is 79.12, 80.34 and 80.42% for FR, CF and IOE whereas the prediction power is 80.14, 81.58 and 81.73%, for FR, CF and IOE, respectively. The result of this study may be useful for local government management and land use planning.

Key words: Frequency ratio, certainty factor, index of entropy, landslide, GIS, Chongren

内容摘要：基于地理信息系统和遥感技术，使用频比、确定性因子及熵指数等三钟方法评价中国崇仁地区降雨型滑坡易发性，并对三种方法的综合实际效果进行评估与比较....该研究成果对地方政府防控地质灾害以及制定土地使用规划具有一定的指导意义。

这篇论文是我校地环学院陈伟博士与中国地震局活动构造与火山重点实验室、江西省气象局等机构合作完成的学术研究成果，发表在国际权威杂志GEOCARTO INTERNATIONAL《国际地球制图》2017年第2期(Volume 32, 2017 - Issue 2)。陈伟博士为这篇论文的通信作者，这是我校首篇以通信作者/第一作者进入ESI高被引论文。

ESI是Essential Science Indicators(基本科学指标)的缩写，它是当今世界范围内普遍用以评价高校、学术机构、国家/地区国际学术水平及影响力的重要评价指标工具之一。