国家自然科学基金项目“不同降雨情景下赣南花岗岩区崩岗侵蚀易发性空间预测研究”(42107489); 自然资源部城市自然资源监测与仿真重点实验室开放基金资助项目(KF-2019-04-071); 土木工程防灾减灾湖北省引智创新示范基地(2021EJD026)
[目的] 研究不同联接方法对崩岗易发性的影响，为区域崩岗的精细化空间预测提供理论依据，进而为合理、经济、高效地做好防灾减灾提供科学支持。[方法] 基于随机森林模型，选择改进频率比(ALSA)与传统频率比(FR)两种不同联接方法，通过地理探测器选取年平均降雨量、年平均降雨侵蚀力、土壤可蚀性、坡长因子、黏粒含量、坡度、砂粒含量、标准化VH通道后向散射系数(表征地表覆被的性质)作为评价指标，以江西省兴国县永丰镇为例开展崩岗易发性评价。[结果] ①ALSA-RF模型较FR-RF模型精度更高，ACC，AUC值分别为83.89%，0.893 0； ②研究区极高、高易发区主要分布于其西南区域，这与实际崩岗分布情况较吻合。[结论] 改进频率比的联接方法较传统频率比方法可以更好地体现区域崩岗的分布规律，可为滑坡研究领域中的类似问题提供借鉴。
[Objective] The influence of different connection methods on Benggang susceptibility was studied in order to provide a theoretical basis for the refined spatial prediction of regional Benggang in order to provide scientific supports for reasonable, economical, and efficient disaster prevention and reduction. [Methods] A random forest (RF) model was used to select two different connection methods: the improved frequency ratio (ALSA) and the traditional frequency ratio (FR). Annual average rainfall, annual average rainfall erosivity, soil erodibility, slope length factor, clay content, slope, sand content, and standardized VH channel backscatter coefficient (representing the nature of the surface cover) were used as evaluation indexes of Benggang susceptibility in Yongfeng Township, Xingguo County of Jiangxi Province. [Results] ① The accuracy of the ALSA-RF model was greater than the accuracy of the FR-RF model, and the values of ACC and AUC were 83.89% and 0.893 0, respectively; ② The extremely high and high susceptibility areas in Yongfeng Township were mainly located in the southwest, and this result was in good agreement with the actual situation. [Conclusion] The improved frequency ratio connection method better reflected the distribution law of regional Benggang susceptibility than the traditional frequency ratio method, and provided a reference for similar problems in the field of landslide evaluation.