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A high-resolution framework for urban pluvial flood risk mapping
Citation Link: https://doi.org/10.15480/882.17305
Publikationstyp
Journal Article
Date Issued
2026-06-11
Sprache
English
TORE-DOI
Volume
26
Start Page
2765
End Page
2783
Citation
Natural Hazards and Earth System Sciences 27: 2765–2783 (2026)
Publisher DOI
Scopus ID
Publisher
Copernicus Publications
This study presents a high-resolution framework for assessing climate-related risk at the building scale by implementing the IPCC risk concept, defining risk as a function of vulnerability, exposure and hazard. The framework focuses on pluvial flood risk related to people's well-being and mobility. Hazard is driven by a 100-year rainfall event (36 mm h −1 ), modelled with a hydrodynamic flood simulation incorporating topography, drainage capacity, and land use. Exposure is differentiated by impact type, considering residents on ground floors for well-being and building proximity to flooded streets for mobility and accessibility. Social vulnerability is quantified using socioeconomic indicators such as age, income, and education. The framework is demonstrated using empirical data from Hamburg, Germany, identifying risk hotspots where high social vulnerability coincides with elevated flood exposure. To support practical implementation, we introduce a Python-based ArcGIS pluvial flood risk toolbox that enables automated, building-level risk mapping. The transparent and flexible design makes the framework transferable to other cities, supporting climate adaptation planning and risk-informed decision-making.
DDC Class
363: Other Social Problems and Services
551: Geology, Hydrology Meteorology
307.76: Urban Communities
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