Influence of Different Environmental Factor Connection Methods on Benggang Susceptibility Assessment

Guo Fei; Lai Peng; Chen Yang; Wang Xiujuan; Xia Dong; Cao Yan

doi:10.13961/j.cnki.stbctb.2022.05.016

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Influence of Different Environmental Factor Connection Methods on Benggang Susceptibility Assessment

- Influence of Different Environmental Factor Connection Methods on Benggang Susceptibility Assessment
- Bulletin of Soiland Water Conservation Vol. 42, Issue 5, Pages: 123-130(2022)
- 作者机构：
  
  1. 湖北长江三峡滑坡国家野外科学观测研究站,湖北,宜昌,443002
  2. 三峡大学土木与建筑学院,湖北,宜昌,443002
  3. 中国科学院南京土壤研究所,江苏,南京,210000
  4. 三峡大学水利与环境学院,湖北,宜昌,443002
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.05.016
  CLC： P954
- Published：2022
- 稿件说明：
移动端阅览
Guo Fei, Lai Peng, Chen Yang, et al. Influence of Different Environmental Factor Connection Methods on Benggang Susceptibility Assessment[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 123-130.
DOI：

Guo Fei, Lai Peng, Chen Yang, et al. Influence of Different Environmental Factor Connection Methods on Benggang Susceptibility Assessment[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 123-130. DOI： 10.13961/j.cnki.stbctb.2022.05.016.

摘要

[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。

Abstract

[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.

关键词

Keywords

references

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