Theories and Methods for Identifying Compound Chain-associated Major Geohazard Risks:Status and Prospect

Compound chain-associated major geohazards are driven by multi-sphere interactions and multi-dynamic coupling,exhibiting cascading chain effects. The identification of potential hazards faces challenges such as unclear disaster-forming mechanisms,insufficient technological synergy,and incomplete spatial coverage. Since the disaster-chain process of geological hazards represents an entropy-reducing process,this study,based on the Principle of Least Action,elucidates the matter-energy transmission theory in time and space during disaster-chain evolution,and establishes a three-level hazard identification system coordinated across theoretical,technical,and national dimensions. At the theoretical level,the system analyzes the multi-physical-field feedback coupling mechanisms of risk sources and formulates spatial-domain identification criteria. At the technical level,it develops a hazard identification framework integrating multi-source observations,geological mechanics,and energy gradients. At the national level,it optimizes full-scale disaster prevention layouts through data sharing and intelligent zoning. Future research should further overcome the bottlenecks in multi-sphere coupling modeling and multi-physical-field sensing,enhance the precision of hazard identification for compound chain-induced major geohazards,and promote the evolution of geological disaster prevention and control toward greater intelligence and globalization.

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Publication Details

Journal
Bulletin of National Natural Science Foundation of China
Published
2025-12-01
DOI
https://doi.org/10.3724/bnsfc-2025-0037
Primary Topic
earthquake and tectonic studies
Type
article
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article

Theories and Methods for Identifying Compound Chain-associated Major Geohazard Risks:Status and Prospect

Qiangong Cheng, Wu Zhu, Dizhou Guo, Yufeng Wang et al.
Bulletin of National Natural Science Foundation of China
earthquake and tectonic studies
article

Theories and Methods for Identifying Compound Chain-associated Major Geohazard Risks:Status and Prospect

Qiangong Cheng, Wu Zhu, Dizhou Guo, Yufeng Wang, Mingtao Ding, Zhenhong Li, Chenglong Zhang, Jiewei Zhan, Wen Zhang, Chuang Song, Jiangbo Xi, Chen Yu, Weile Li
article en

Abstract

Compound chain-associated major geohazards are driven by multi-sphere interactions and multi-dynamic coupling,exhibiting cascading chain effects. The identification of potential hazards faces challenges such as unclear disaster-forming mechanisms,insufficient technological synergy,and incomplete spatial coverage. Since the disaster-chain process of geological hazards represents an entropy-reducing process,this study,based on the Principle of Least Action,elucidates the matter-energy transmission theory in time and space during disaster-chain evolution,and establishes a three-level hazard identification system coordinated across theoretical,technical,and national dimensions. At the theoretical level,the system analyzes the multi-physical-field feedback coupling mechanisms of risk sources and formulates spatial-domain identification criteria. At the technical level,it develops a hazard identification framework integrating multi-source observations,geological mechanics,and energy gradients. At the national level,it optimizes full-scale disaster prevention layouts through data sharing and intelligent zoning. Future research should further overcome the bottlenecks in multi-sphere coupling modeling and multi-physical-field sensing,enhance the precision of hazard identification for compound chain-induced major geohazards,and promote the evolution of geological disaster prevention and control toward greater intelligence and globalization.

Bulletin of National Natural Science Foundation of ChinaVol. 39(6)
Climate action
Openalex Percentile: Top 29%
earthquake and tectonic studies
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Theories and Methods for Identifying Compound Chain-associated Major Geohazard Risks:Status and Prospect — Qiangong Cheng, Wu Zhu, et al. · Bulletin of National Natural Science Foundation of China (2025) | TGRS Research Map | TGRS