Geological Disaster Susceptibility Evaluation of a Random-Forest-Weighted Deterministic Coefficient Model

Author:

Zhang Shaohan12,Tan Shucheng23ORCID,Zhou Jinxuan12,Sun Yongqi1,Ding Duanyu4,Li Jun5

Affiliation:

1. Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China

2. Yunnan International Joint Laboratory of Critical Mineral Resource, Kunming 650500, China

3. School of Earth Science, Yunnan University, Kunming 650500, China

4. Faculty of Architecture and City Planning, Kunming University of Science and Technology, Kunming 650500, China

5. Yunnan Architectural Engineering Design Company Limited, Kunming 650501, China

Abstract

An assessment of regional vulnerability to geological disasters can directly indicate the extent and intensity of risks within the study area; thus, providing precise guidance for disaster management efforts. However, in the evaluation of geological disaster susceptibility using a single deterministic coefficient model, the direct superimposition of deterministic coefficient values for each evaluation factor, without considering their objective weights, can impact the accuracy of susceptibility zoning outcomes. To address this limitation, this research proposes a novel approach: geological disaster susceptibility evaluation using a random-forest-weighted deterministic coefficient model. In this method, the objective weight of each evaluation factor is calculated based on a deterministic coefficient model and a parameter-optimized random forest model. By weighting and superimposing the deterministic coefficient values of each evaluation factor, a comprehensive deterministic coefficient map is generated. This map is further divided using the natural breakpoint method to obtain a geological disaster susceptibility zoning map. To validate the accuracy of the evaluation results, partition statistics and the ROC (Receiver Operating Characteristic) curve of the test sample points are utilized. The findings demonstrate that the model performs well in evaluating geological disaster susceptibility in Huize County. The evaluation results are considered reliable and accurate, highlighting the effectiveness of the proposed approach for assessing and zoning geological disaster susceptibility in the region.

Funder

Science and Technology Innovation Team Program of Yunnan Province Education Department

Graduate Tutor Team Program of Yunnan Province Education Department

Yunnan Fundamental Research Projects

Yunnan Key research and development plan program

Xing Dian Talent Teacher’s Program of Yunnan Province

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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