Bijing Jin , Taorui Zeng , Shuhao Liu , Ye Li , Lei Gui , Binbin Zhao , Kunlong Yin , Filippo Catani , Dario Peduto
{"title":"输电线塔降雨诱发滑坡的定量风险评估——以重庆市国家级输电保护区为例","authors":"Bijing Jin , Taorui Zeng , Shuhao Liu , Ye Li , Lei Gui , Binbin Zhao , Kunlong Yin , Filippo Catani , Dario Peduto","doi":"10.1016/j.ijdrr.2025.105715","DOIUrl":null,"url":null,"abstract":"<div><div>In recent times, the increasing frequency of geohazards has been threatening the safe and effective operation of power transmission networks. However, the quantitative risk assessments of landslides for transmission towers remain underdeveloped. The present study aims at providing the quantitative landslide risk distribution along the Chongqing National Transmission Line Protection Regions (NTLPR) in China by establishing an original technical framework. Particularly, both static and dynamic data are used for modeling the susceptibility and hazard of landslides. Then, the potential vulnerability of transmission towers to landslides was assessed based on the distance between the towers and landslide run-out boundaries. Finally, following the classical risk assessment theory, the quantitative risk distribution maps of towers affected by landslides is established. The results showed that landslide hazard exhibits a consistent variability in relation to the spatiotemporal distribution of rainfall erosion intensity. As landslide data is updated and mitigation measures are implemented, both the vulnerability and risk associated with the towers undergo dynamic changes over time. The vulnerability curve analysis reveals transmission towers within 274 m of landslide run-out boundaries exhibit very high vulnerability level, with potential losses of 1 million RMB per tower. Specifically, the number of high/very high vulnerability towers was reduced from 487 (2002–2010) to 75 (2019–2020), resulting in a 65.83 % decrease in overall risk (from 103.83 to 35.48 million RMB). The obtained results provide an interpretable risk mitigation scheme for the management of power transmission networks, and are expected to become an effective framework for landslide management in the power industry.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"128 ","pages":"Article 105715"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative risk assessment for rainfall-induced landslides of transmission line towers: the case of Chongqing national transmission protection regions\",\"authors\":\"Bijing Jin , Taorui Zeng , Shuhao Liu , Ye Li , Lei Gui , Binbin Zhao , Kunlong Yin , Filippo Catani , Dario Peduto\",\"doi\":\"10.1016/j.ijdrr.2025.105715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In recent times, the increasing frequency of geohazards has been threatening the safe and effective operation of power transmission networks. However, the quantitative risk assessments of landslides for transmission towers remain underdeveloped. The present study aims at providing the quantitative landslide risk distribution along the Chongqing National Transmission Line Protection Regions (NTLPR) in China by establishing an original technical framework. Particularly, both static and dynamic data are used for modeling the susceptibility and hazard of landslides. Then, the potential vulnerability of transmission towers to landslides was assessed based on the distance between the towers and landslide run-out boundaries. Finally, following the classical risk assessment theory, the quantitative risk distribution maps of towers affected by landslides is established. The results showed that landslide hazard exhibits a consistent variability in relation to the spatiotemporal distribution of rainfall erosion intensity. As landslide data is updated and mitigation measures are implemented, both the vulnerability and risk associated with the towers undergo dynamic changes over time. The vulnerability curve analysis reveals transmission towers within 274 m of landslide run-out boundaries exhibit very high vulnerability level, with potential losses of 1 million RMB per tower. Specifically, the number of high/very high vulnerability towers was reduced from 487 (2002–2010) to 75 (2019–2020), resulting in a 65.83 % decrease in overall risk (from 103.83 to 35.48 million RMB). The obtained results provide an interpretable risk mitigation scheme for the management of power transmission networks, and are expected to become an effective framework for landslide management in the power industry.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"128 \",\"pages\":\"Article 105715\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of disaster risk reduction\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212420925005394\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925005394","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Quantitative risk assessment for rainfall-induced landslides of transmission line towers: the case of Chongqing national transmission protection regions
In recent times, the increasing frequency of geohazards has been threatening the safe and effective operation of power transmission networks. However, the quantitative risk assessments of landslides for transmission towers remain underdeveloped. The present study aims at providing the quantitative landslide risk distribution along the Chongqing National Transmission Line Protection Regions (NTLPR) in China by establishing an original technical framework. Particularly, both static and dynamic data are used for modeling the susceptibility and hazard of landslides. Then, the potential vulnerability of transmission towers to landslides was assessed based on the distance between the towers and landslide run-out boundaries. Finally, following the classical risk assessment theory, the quantitative risk distribution maps of towers affected by landslides is established. The results showed that landslide hazard exhibits a consistent variability in relation to the spatiotemporal distribution of rainfall erosion intensity. As landslide data is updated and mitigation measures are implemented, both the vulnerability and risk associated with the towers undergo dynamic changes over time. The vulnerability curve analysis reveals transmission towers within 274 m of landslide run-out boundaries exhibit very high vulnerability level, with potential losses of 1 million RMB per tower. Specifically, the number of high/very high vulnerability towers was reduced from 487 (2002–2010) to 75 (2019–2020), resulting in a 65.83 % decrease in overall risk (from 103.83 to 35.48 million RMB). The obtained results provide an interpretable risk mitigation scheme for the management of power transmission networks, and are expected to become an effective framework for landslide management in the power industry.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.