A Fast Data-Driven Tool for Flood Risk Assessment in Urban Areas
نویسندگان
چکیده
Post-disaster flood risk assessment is extremely difficult owing to the great uncertainties involved in all parts of exercise, e.g., uncertainty hydrologic–hydraulic models and depth–damage curves. In present study, a robust fast data-driven tool for residential introduced. The proposed can be used by scientists, practitioners and/or stakeholders as first step better understanding quantifying monetary terms. Another contribution study fitting an equation through points provided Joint Research Center (JRC). approach based on hydrologic simulations different return periods, employing free widely software, HEC-HMS. Moreover, depths area are estimated hydrodynamic HEC-RAS software Inverse Distance Weighting (IDW) interpolation method. Finally, risk, terms, determined derived coupling IDW method, curves reported literature, vulnerability areas exposure GIS tools. applied highly urbanized flood-prone area, Mandra city, Attica region Greece. results maps specific periods. Overall, from application reveal that effective post-disaster management. However, it must noted additional information data needed verification damages floods. Additional result calibration, validation overall performance tool.
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ژورنال
عنوان ژورنال: Hydrology
سال: 2022
ISSN: ['2330-7609', '2330-7617']
DOI: https://doi.org/10.3390/hydrology9080147