@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix pav: . @prefix rdf: . @prefix owl: . @prefix rdfg: . @prefix dce: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { a ; ""; "Applied sciences" . a ; "Anne Fouilloux" . a ; "none" . a ; "Physical Geography and Environmental Geoscience" . a ; "jeopardy"; "14.345991561181432"; "10.2" . a ; "geophysics"; "65.71428571428571"; "2.3" . a ; "Weather"; "Weather" . a ; "Intergovernmental Panel on Climate Change"; . a ; "Local policy" . a ; "Knowledge Sector (EEA)"; . a ; "Physical and Technological" . a ; "Szombathely"; ; . a ; "Academia/ Research Institutions" . a ; "pipeline"; "7.31364275668073"; "5.2" . a ; "flood risk"; "11.29032258064516"; "4.2" . a ; "job market"; "34.285714285714285"; "1.2" . a ; "ellipsoid"; "7.735583684950773"; "5.5" . a ; "column mapping"; "12.14470284237726"; "4.7" . a ; "FAIR2Adapt — Hamburg Pluvial Flood Risk Assessment (CS3) **Urban pluvial flood risk assessment for Hamburg** using the IPCC risk framework (Risk = Hazard × Exposure × Vulnerability)"; "66.84587813620071"; "37.3" . a ; "Intergovernmental Panel on Climate Change"; "6.61040787623066"; "4.7" . a ; "Funding"; . a ; "von Szombathely"; "11.627906976744185"; "4.5" . a ; "Meteorology and climatology" . a ; "Case Study" . a ; "Policy Scale"; . a ; "Atmospheric Sciences" . a ; "Climate change"; "Environment/Climate change" . a ; "Jewellery"; "Arts, culture and entertainment/Arts and entertainment/Fashion/Jewellery" . a ; "none" . a ; "exposure"; "7.172995780590716"; "5.1" . a ; "Szombathely"; "13.978494623655912"; "5.2" . a ; "I-ADOPT"; "10.75268817204301"; "4.0" . a ; "Extreme weather: floods, droughts, heatwaves" . a ; "risk"; "17.741935483870968"; "6.6" . a ; "Geophysics" . a ; "Geosciences" . a ; "Climate Hazard"; . a ; "IPCC risk framework"; "38.50129198966408"; "14.9" . a ; "Hamburg"; "12.51758087201125"; "8.9" . a ; "input file"; "8.157524613220815"; "5.8" . a ; "2025" . a ; "IPCC"; . a ; "User Needs (RAST)"; . a ; "Earth Sciences" . a ; """### Pipeline - Repository: https://github.com/FAIR2Adapt/urban_pfr_toolbox_hamburg - Paper: von Szombathely et al. 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Contains: - **Risk layer**: PFRMA (mobility & accessibility) and PFRWB (well-being) flood risk indices - **Vulnerability layer**: Social vulnerability indicators (Sensitivity, Coping Capacity, SVI, SVPF) ### Methodology Converted from the ArcGIS workflow by von Szombathely et al. (2025) into a reusable Python pipeline: 1. Social vulnerability via TOPSIS with Shannon entropy (I-ADOPT annotated variables) 2. Population exposure distributed to buildings 3. Flood hazard via ring buffer analysis (HMA) and depth analysis (HWB) 4. Risk combination with Delaunay smoothing 5. HEALPix aggregation on WGS84 ellipsoid ### FAIR Digital Objects - Input data described as RO-Crates with I-ADOPT variable annotations - Column mappings resolved automatically via fdo-resolver - Output packaged as Workflow Run Crate with provenance ### Pipeline - Repository: https://github.com/FAIR2Adapt/urban_pfr_toolbox_hamburg - Paper: von Szombathely et al. 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