An adaptive framework for symbiotic environmental fragility and geohazards risk: A case study of Gaizhou City, China
Year: 2026
Type: article
Abstract: The ecological environment is an important context for geohazards formation. Traditional geohazards risk assessment mostly focuses on the physical characteristics and pays insufficient attention to long-term impact on the ecological environment. This paper considers environmental fragility from a 'current-sensitive-responsive' perspective, comparing the entropy power, projection pursuit, and random forest methods to identify the optimal model. It also proposes a 3D matrix to establish an adaptive framework for geohazards ecological risk, tailored to scenarios of frequent geohazards in environmental fragile mountainous regions. The results were validated using Gaizhou City: Random forest achieves better zoning performance and accuracy, making it the optimal model for environmental fragility. The area classified as very high risk zoning is only 28.35 km² using 3D matrix, with a high geohazard areal density of 0.35 point/km². With less than 0.3 % of the total area, it accommodates 10.6 % of the region’s geohazard inventory, fully demonstrating its effectiveness. The townships of Kuangdonggou and Shizijie were key control units, and it was recommended that a combination of engineering and ecological measures be prioritized. The improvement method may provide a new perspective on the synergistic management of the ecological environment and geohazards. • Considering environmental fragility from "current-sensitive-responsive" dimensions, random forest model is optimal. • A 3D matrix is proposed to realize the synergistic assessment of geology and ecology. • An adaptive framework is established to serve as a reference for mountainous regions.
Institution: Liaoning Technical University
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,650
Awards: G1990861789, G7748609779, G8168531314
OpenAlex ID: W7122506154
