Risk Assessment of Debris Flow Disasters Triggered by an Outburst of Huokou Lake in Antu County Based on an Information Quantity and Random Forest Approach

泥石流 碎片 随机森林 环境科学 水文学(农业) 地质学 岩土工程 计算机科学 海洋学 机器学习
作者
Qiuling Lang,Peng Liu,Yichen Zhang,Jiquan Zhang,Jintao Huang
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:16 (21): 9545-9545 被引量:2
标识
DOI:10.3390/su16219545
摘要

Debris flow disasters frequently occur and pose considerable hazards; thus, it is essential to thoroughly evaluate their risks. This study constructs a database comprising 20 assessment indicators, utilizing comprehensive natural disaster risk assessment theory and incorporating the triggering factors of Huokou Lake in the Changbaishan Mountains. This research employs a hybrid ANP-CRITIC methodology to allocate weights to the assessment indicators efficiently. For hazard assessment, this research utilizes both the Information Quantity and Random Forest models for comparative analysis. The ROC curve was employed to validate the outcomes, ultimately favoring the Random Forest model due to its superior accuracy in assessing debris flow hazards. In this study, the risk of debris flow disasters in Antu County is comparatively assessed under scenarios with and without an outburst event. The findings indicate that areas of high and very high risk are predominantly located within the central regions of economically prosperous and densely populated townships. Additionally, the risk in Erdao Baihe Township escalates significantly when considering the outburst of Huokou Lake. The significance of this study lies in its ability to furnish a robust scientific basis for decision-makers aimed at preventing future debris flow disasters. Furthermore, it serves as a crucial reference for advancing sustainable regional development and facilitates the equilibrium between economic growth and environmental protection within disaster management strategies.
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