Bridge-specific flood risk assessment of transport networks using GIS and remotely sensed data
Оценка риска наводнений для транспортных сетей с учетом характеристик отдельных мостов с использованием ГИС и данных дистанционного зондирования
2022-08-11
SCID: 54.1/2vtmrhhz
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GIS and remotely sensed dataIndicator of Flood Hazard Intensity (IFHI)Multi-Criteria Decision-Makingbridge-specific flood risk assessmentscour risk
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Abstract (AI)
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 reliability 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.
Key Findings
1
A novel GIS- and remote-sensing-based framework enables rapid, bridge-specific flood-risk assessment focused on critical and vulnerable transport infrastructure.
2
GIS-based multi-criteria decision-making supports regional flood-hazard indexing using geomorphological, meteorological, hydrological, and land-use/cover data from remotely sensed and open geospatial datasets.
3
The framework was applied to 117 bridges affected by Greece’s September 2020 flood and validated against extensive records of inspected and documented bridge damage.
4
The methodology treats hydrodynamic loading as a hazard component alongside scour and links scour indicators with a flow-velocity index to improve automated bridge-susceptibility assessment.
5
The new Indicator of Flood Hazard Intensity (IFHI) integrates flow velocity, floodwater height, flow obstruction, and sediment type to represent bridge-impact severity.
Research Object
Bridges in transportation networks exposed to flooding, including the 117 bridges affected by the September 2020 flood in Greece
Research Subject
Bridge-specific flood risk, hazard intensity, and susceptibility to scour based on hydrodynamic loading, flow velocity, floodwater height, flow obstruction, sediment type, and related geospatial factors
Publication Details
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2022-08-11
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