Cascading effect modelling of integrating geographic factors in interdependent systems
文献类型：期刊论文
| 作者 | Ge, Yong6,7,8; Zhang, Mo7,8; Zhao, Rongtian7,8; Zhang, Die5,6; Zhang, Zhiyi7,8; Wang, Daoping4; Cheng, Qiuming3; Cui, Yuxue2; Liu, Jian1 |
| 刊名 | ENVIRONMENTAL MODELLING & SOFTWARE
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 185页码:106316 |
| 关键词 | Cascading effect Integrating modeling Risk identification Extreme events Complex system |
| ISSN号 | 1364-8152 |
| DOI | 10.1016/j.envsoft.2024.106316 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Cascading effects from global disruptions such as natural disasters and pandemics have attracted significant research attention. Current approaches face challenges in adequately integrating geographic and systemic factors, limiting their ability to simulate the intricate dynamics of interdependent systems. Here, we proposed a novel Interdependency Network-based Geographic Cascade (INGC) model, coupling geographic factors to capture cascading shocks across global interdependent networks. By integrating macro-level interdependencies and typical dynamic network modelling approaches, the INGC enables more accurate simulations of hazard damage and shock propagation, highlighting critical nodes and pathways essential for informed policy-making. Through the global lockdown case analysis, the INGC model demonstrated its advantages in identifying critical sectors and regions by revealing heterogenous cascading patterns and their details robustly. This approach offers a scalable framework for future research and policy, ensuring greater resilience in the face of complex global extreme events. |
| URL标识 | 查看原文 |
| WOS关键词 | TROPHIC CASCADES ; INFRASTRUCTURE ; MAXIMIZATION ; NETWORKS ; RISK |
| WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001414333900001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212382]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Ge, Yong |
| 作者单位 | 1.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China 2.China Univ Lab Relat, Sch Govt, Beijing 100048, Peoples R China; 3.China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Beijing 100083, Peoples R China; 4.Kings Coll London, Dept Geog, London, England; 5.Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Peoples R China; 6.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Peoples R China; 7.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 8.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Ge, Yong,Zhang, Mo,Zhao, Rongtian,et al. Cascading effect modelling of integrating geographic factors in interdependent systems[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2025,185:106316. |
| APA | Ge, Yong.,Zhang, Mo.,Zhao, Rongtian.,Zhang, Die.,Zhang, Zhiyi.,...&Liu, Jian.(2025).Cascading effect modelling of integrating geographic factors in interdependent systems.ENVIRONMENTAL MODELLING & SOFTWARE,185,106316. |
| MLA | Ge, Yong,et al."Cascading effect modelling of integrating geographic factors in interdependent systems".ENVIRONMENTAL MODELLING & SOFTWARE 185(2025):106316. |
入库方式： OAI收割
来源：地理科学与资源研究所
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