{"title":"滑坡-桥梁相互作用:基于InSAR数据和数值模拟的综合方法","authors":"Erica Cernuto , Diana Salciarini , Filippo Ubertini , Giorgia Giardina","doi":"10.1016/j.ijdrr.2025.105568","DOIUrl":null,"url":null,"abstract":"<div><div>Landslides that interact with infrastructure, such as bridges, demand a comprehensive analysis to fully understand and address the complexities of this interaction. This study proposes an integrated approach that combines InSAR satellite monitoring with three-dimensional numerical modelling to analyse the effect of a landslide on a bridge. Although the case study is exemplary, the results obtained are of a general nature and applicable to similar contexts. The integration of InSAR and numerical modelling provided complementary and more detailed information compared to the isolated use of each approach. The InSAR analysis offered an overview of surface deformations, allowing for large-scale monitoring of movements, and its limitation in providing complete three-dimensional information was addressed by the numerical modelling, which enabled the decomposition of movements along the main direction of the landslide, precisely identifying the movement trajectory. The results showed predominant movements in the transverse direction, with a less significant vertical component, consistent with the observed kinematics. InSAR data allowed for the comparison of numerical modelling estimates with real observations, enhancing the consistency of the simulations. These data revealed significant movements upstream of the bridge, confirming the critical areas identified by modelling, which compensated for the lack of satellite data downstream, showing intense displacements. The modelling also highlighted significant displacements in the bridge’s structural elements, with downstream tilting caused by the horizontal thrust of the landslide. The integrated approach offered a clearer understanding of landslide dynamics and their impact on infrastructure, offering a valuable tool for monitoring and risk management in vulnerable areas.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"126 ","pages":"Article 105568"},"PeriodicalIF":4.5000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Landslide-Bridge Interaction: A combined approach based on InSAR data and numerical modelling\",\"authors\":\"Erica Cernuto , Diana Salciarini , Filippo Ubertini , Giorgia Giardina\",\"doi\":\"10.1016/j.ijdrr.2025.105568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Landslides that interact with infrastructure, such as bridges, demand a comprehensive analysis to fully understand and address the complexities of this interaction. This study proposes an integrated approach that combines InSAR satellite monitoring with three-dimensional numerical modelling to analyse the effect of a landslide on a bridge. Although the case study is exemplary, the results obtained are of a general nature and applicable to similar contexts. The integration of InSAR and numerical modelling provided complementary and more detailed information compared to the isolated use of each approach. The InSAR analysis offered an overview of surface deformations, allowing for large-scale monitoring of movements, and its limitation in providing complete three-dimensional information was addressed by the numerical modelling, which enabled the decomposition of movements along the main direction of the landslide, precisely identifying the movement trajectory. The results showed predominant movements in the transverse direction, with a less significant vertical component, consistent with the observed kinematics. InSAR data allowed for the comparison of numerical modelling estimates with real observations, enhancing the consistency of the simulations. These data revealed significant movements upstream of the bridge, confirming the critical areas identified by modelling, which compensated for the lack of satellite data downstream, showing intense displacements. The modelling also highlighted significant displacements in the bridge’s structural elements, with downstream tilting caused by the horizontal thrust of the landslide. The integrated approach offered a clearer understanding of landslide dynamics and their impact on infrastructure, offering a valuable tool for monitoring and risk management in vulnerable areas.</div></div>\",\"PeriodicalId\":13915,\"journal\":{\"name\":\"International journal of disaster risk reduction\",\"volume\":\"126 \",\"pages\":\"Article 105568\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-05-29\",\"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/S2212420925003929\",\"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/S2212420925003929","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}
Landslide-Bridge Interaction: A combined approach based on InSAR data and numerical modelling
Landslides that interact with infrastructure, such as bridges, demand a comprehensive analysis to fully understand and address the complexities of this interaction. This study proposes an integrated approach that combines InSAR satellite monitoring with three-dimensional numerical modelling to analyse the effect of a landslide on a bridge. Although the case study is exemplary, the results obtained are of a general nature and applicable to similar contexts. The integration of InSAR and numerical modelling provided complementary and more detailed information compared to the isolated use of each approach. The InSAR analysis offered an overview of surface deformations, allowing for large-scale monitoring of movements, and its limitation in providing complete three-dimensional information was addressed by the numerical modelling, which enabled the decomposition of movements along the main direction of the landslide, precisely identifying the movement trajectory. The results showed predominant movements in the transverse direction, with a less significant vertical component, consistent with the observed kinematics. InSAR data allowed for the comparison of numerical modelling estimates with real observations, enhancing the consistency of the simulations. These data revealed significant movements upstream of the bridge, confirming the critical areas identified by modelling, which compensated for the lack of satellite data downstream, showing intense displacements. The modelling also highlighted significant displacements in the bridge’s structural elements, with downstream tilting caused by the horizontal thrust of the landslide. The integrated approach offered a clearer understanding of landslide dynamics and their impact on infrastructure, offering a valuable tool for monitoring and risk management in vulnerable areas.
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.