Evidence map›Paper›PMID 41565920›Full record

ArticleScientific reports2026

Dynamic rockfall risk assessment using multi-source data fusion and 3D simulation: a case study of Jiaohua rock.

Xingxing Zhao, Wang Fen, Zhenwei Dai, Weizhi Jiao, Jun Geng, Qihui Xiong, Nan Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xingxing ZhaoCollege of Civil Engineering & Architecture, China Three Gorges University, Yichang, 443002, Hubei, China.
Wang FenFaculty of Earth Resources, China University of Geosciences, Wuhan, 430074, China.
Zhenwei DaiWuhan Center, China Geological Survey (Geosciences Innovation Center of Central South China), No. 69 Guanggu Boulevard, East Lake High-tech Development Zone, Wuhan, 430205, Hubei Province, China. daizhenwei@mail.cgs.gov.cn.ORCID http://orcid.org/0000-0002-9238-9265
Weizhi JiaoFaculty of Engineering, China University of Geosciences, Wuhan, 430074, China.
Jun GengHubei Key Laboratory of Operation Safety of High Dam and Large Reservoir, Yichang, 443133, China.
Qihui XiongChongqing Bureau of Geology and Mineral Resources Exploration and Development Nanjiang Hydrogerlogy Engineering Geology Team, Chongqing, 401121, China.
Nan ZhangChina institute of Geo-Environment Monitoring, Beijing, 100081, China.

Funding

he Geological Disaster Prevention and Control Project in the Three Gorges area Grant No. 000121 2024C C60 001 and Grant No. 000121 2023C C60 001Qianlong Plan Top Talent Project of Wuhan Center of China Geological Survey Grant No. QL2022-06
6 · The paper itself

Abstract

Rockfall represents a sudden and highly destructive geological hazard, posing significant risks to mountainous communities and infrastructure. This study presents an integrated dynamic risk assessment for the Jiaohua perilous rock zone in Kaizhou District, Chongqing, China, by fusing multi-source data including field investigation, UAV photogrammetry, and 3D numerical simulation. Kinematic analysis identified a critical slope angle of 57° for rockfall initiation, enabling the classification of two primary susceptibility zones. High-precision 3D simulations using RAMMS: ROCKFALL were conducted on six identified hazardous rock masses (#WY1–#WY6). The simulations delineated two distinct rockfall mechanisms: #WY1–#WY3 sources generate high-energy, short-duration impacts, achieving kinetic energies up to 1.88 × 10⁴ kJ within 10–15 s, posing a direct threat to the residential area below. Conversely, rockfalls from #WY4–#WY6 involve longer travel paths with considerable energy attenuation, yet residual kinetic energy remains capable of causing zonal damage. The simulated kinetic energies were translated into quantitative impact force estimates, forming the basis for differentiated mitigation strategies. These include active reinforcement and high-strength interception for short-range, high-energy events, and multi-level buffering with trajectory control for long-runout cases. This integrated methodology offers a scientifically grounded framework for precise hazard prevention and serves as a valuable reference for rockfall risk management in analogous geological settings, particularly within the Three Gorges Reservoir area.

Indexed as

3D numerical simulationDynamic risk assessmentKinematic analysisRockfall hazard

Identifiers

PMID41565920
PMCPMC12894990

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