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} ], "http://schema.org/dateCreated": [ { "@value": "2026-03-28 19:29:27.408352+00:00" } ], "http://schema.org/dateModified": [ { "@value": "2026-04-27 18:30:18.830406+00:00" } ], "http://schema.org/datePublished": [ { "@value": "2026-03-28 19:29:27.408352+00:00" } ], "http://schema.org/description": [ { "@value": "**Urban pluvial flood risk assessment for Hamburg** using the IPCC risk framework (Risk = Hazard × Exposure × Vulnerability).\n\n### Results\n\nPublic results aggregated to **HEALPix cells** (depth 15, ~200m, WGS84 ellipsoid) for privacy. Contains:\n- **Risk layer**: PFRMA (mobility & accessibility) and PFRWB (well-being) flood risk indices\n- **Vulnerability layer**: Social vulnerability indicators (Sensitivity, Coping Capacity, SVI, SVPF)\n\n### Methodology\n\nConverted from the ArcGIS workflow by von Szombathely et al. (2025) into a reusable Python pipeline:\n1. Social vulnerability via TOPSIS with Shannon entropy (I-ADOPT annotated variables)\n2. Population exposure distributed to buildings\n3. Flood hazard via ring buffer analysis (HMA) and depth analysis (HWB)\n4. Risk combination with Delaunay smoothing\n5. HEALPix aggregation on WGS84 ellipsoid\n\n### FAIR Digital Objects\n\n- Input data described as RO-Crates with I-ADOPT variable annotations\n- Column mappings resolved automatically via fdo-resolver\n- Output packaged as Workflow Run Crate with provenance\n\n### Pipeline\n\n- Repository: https://github.com/FAIR2Adapt/urban_pfr_toolbox_hamburg\n- Paper: von Szombathely et al. 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