Risk assessment of geologic hazards in county-slope units based on RF-AER-AHP combined models

Yang Wen, Ying Huang, Jian Ou, Can Wang, Kaichun Zhou, Yuqi Huang · 2026

Read Risk assessment of geologic hazards in county-slope units based on RF-AER-AHP combined models by Yang Wen, Ying Huang, Jian Ou, Can Wang, Kaichun Zhou, Yuqi Huang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13254369.txt.

Description

Yang Wen and colleagues build a combined model for geological hazard risk at county scale in a 2026 case study of Ningyuan County in Hunan Province, China. Landslides and related disasters threaten lives and property, but traditional risk scoring leans on subjective expert weights and misses how factors interact. The team coupled a random forest model with an extreme rainfall assumption method and an analytic hierarchy process.

The susceptibility model scored an accuracy measure of 0.92 on the standard curve metric, with correct classification above eighty-five percent on both hazard and safe units in validation. Hazard grew markedly as rainfall intensity increased, expanding the high-hazard footprint on the county map. Medium to high risk zones concentrated in the Jiuyi Mountain area and two named townships, matching field observations. The authors present the hybrid as a less subjective, scalable template for county disaster planning.

Catalog record

CREATORYang Wen, Ying Huang, Jian Ou, Can Wang, Kaichun Zhou, Yuqi Huang
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE73 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13254369

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