Bridge-specific flood risk assessment of transport networks using GIS and remotely sensed data

被引:33
作者
Loli, Marianna [1 ]
Kefalas, George [2 ]
Dafis, Stavros [3 ,4 ]
Mitoulis, Stergios A. [5 ]
Schmidt, Franziska [6 ]
机构
[1] Univ Surrey, Dept Civil & Environm Engn, Guildford, England
[2] Int Hellen Univ, Dept Forest & Nat Environm, Thessaloniki, Greece
[3] Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens, Greece
[4] Data4Risk, Paris, France
[5] InfrastructureResilience, London, England
[6] Univ Gustave Eiffel, Champs Sur Marne, France
关键词
Floods; Infrastructure risk; Bridges; Transportation resilience; Flood adaptation; Extreme weather; INDEX-BASED APPROACH; DECISION-MAKING; HAZARD; SUSCEPTIBILITY; SCOUR; AREAS; PIER;
D O I
10.1016/j.scitotenv.2022.157976
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A novel framework for the expedient assessment of flood risk to transportation networks focused on the response of the most critical and vulnerable infrastructure assets, the bridges, is developed, validated and applied. Building upon the recent French guidelines on scour risk (CEREMA, 2019), this paper delivers a thorough methodology, that incorporates three key, risk parameters: (i) the hydrodynamic loading, a hazard component of equal significance to scour, for the assessment of hazard; (ii) the correlation of select scour indicators with a new index relating to flow velocity, a primary measure of the adverse impacts of flow-structure interaction, enabling a more accurate and automated, assessment of bridge susceptibility to scour; (iii) the use of a new, comprehensive indicator, namely the Indicator of Flood Hazard Intensity (IFHI) which incorporates, in a simple yet efficient way, the key parameters controlling the severity of flood impact on bridges, namely flow velocity, floodwater height, flow obstruction, and sediment type. The framework is implemented for the analysis of flood risk in a case study area, considering an inventory of 117 bridges of diverse construction characteristics, which were affected by a major flood that impacted Greece in September 2020. The reli-ability of the method is validated against an extensive record of inspected and documented bridge damages. Regional scale analysis is facilitated by the adoption of the Multi-Criteria Decision-Making method for flood hazard indexing, considering geomorphological, meteorological, hydrological, and land use/cover data, based on the processing of remotely sensed imagery and openly available geospatial datasets in GIS.
引用
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页数:18
相关论文
共 77 条
[1]   Flood-fragility analysis of instream bridges - consideration of flow hydraulics, geotechnical uncertainties, and variable scour depth [J].
Ahamed, Touhid ;
Duan, Jennifer G. ;
Jo, Hongki .
STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2021, 17 (11) :1494-1507
[2]   A geospatial analysis of multi-hazard risk in Dharan, Nepal [J].
Aksha, Sanam K. ;
Resler, Lynn M. ;
Juran, Luke ;
Carstensen, Laurence W., Jr. .
GEOMATICS NATURAL HAZARDS & RISK, 2020, 11 (01) :88-111
[3]   Fragility functions for highway RC bridge under various flood scenarios [J].
Anisha, A. ;
Jacob, Ajin ;
Davis, Robin ;
Mangalathu, Sujith .
ENGINEERING STRUCTURES, 2022, 260
[4]   A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran [J].
Arabameri, Alireza ;
Rezaei, Khalil ;
Cerda, Artemi ;
Conoscenti, Christian ;
Kalantari, Zahra .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 660 :443-458
[5]   Experimental and Numerical Investigation of Bridge Configuration Effect on Hydraulic Regime [J].
Ardiclioglu, Mehmet ;
Hadi, Arzu M. W. Mohamed ;
Periku, Erion ;
Kuriqi, Alban .
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, 2022, 20 (08) :981-991
[6]   Vulnerability of bridges to individual and multiple hazards-floods and earthquakes [J].
Argyroudis, Sotirios A. ;
Mitoulis, Stergios Aristoteles .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 210
[7]   Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets [J].
Argyroudis, Sotirios A. ;
Mitoulis, Stergios A. ;
Hofer, Lorenzo ;
Zanini, Mariano Angelo ;
Tubaldi, Enrico ;
Frangopol, Dan M. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 714
[8]   DEM resolution effects on machine learning performance for flood probability mapping [J].
Avand, Mohammadtaghi ;
Kuriqi, Alban ;
Khazaei, Majid ;
Ghorbanzadeh, Omid .
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2022, 40 :1-16
[9]   Index-based Approach to Evaluate City Resilience in Flooding Scenarios [J].
Barreiro, Joao ;
Lopes, Ruth ;
Ferreira, Filipa ;
Matos, Jose Saldanha .
CIVIL ENGINEERING JOURNAL-TEHRAN, 2021, 7 (02) :197-207
[10]   Flood Inundation Prediction [J].
Bates, Paul D. .
ANNUAL REVIEW OF FLUID MECHANICS, 2022, 54 :287-315