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Damage functions for climate-related hazards

  • Most climate change impacts manifest in the form of natural hazards. Damage assessment typically relies on damage functions that translate the magnitude of extreme events to a quantifiable damage. In practice, the availability of damage functions is limited due to a lack of data sources and a lack of understanding of damage processes. The study of the characteristics of damage functions for different hazards could strengthen the theoretical foundation of damage functions and support their development and validation. Accordingly, we investigate analogies of damage functions for coastal flooding and for wind storms and identify a unified approach. This approach has general applicability for granular portfolios and may also be applied, for example, to heat-related mortality. Moreover, the unification enables the transfer of methodology between hazards and a consistent treatment of uncertainty. This is demonstrated by a sensitivity analysis on the basis of two simple case studies (for coastal flood and storm damage). The analysis revealsMost climate change impacts manifest in the form of natural hazards. Damage assessment typically relies on damage functions that translate the magnitude of extreme events to a quantifiable damage. In practice, the availability of damage functions is limited due to a lack of data sources and a lack of understanding of damage processes. The study of the characteristics of damage functions for different hazards could strengthen the theoretical foundation of damage functions and support their development and validation. Accordingly, we investigate analogies of damage functions for coastal flooding and for wind storms and identify a unified approach. This approach has general applicability for granular portfolios and may also be applied, for example, to heat-related mortality. Moreover, the unification enables the transfer of methodology between hazards and a consistent treatment of uncertainty. This is demonstrated by a sensitivity analysis on the basis of two simple case studies (for coastal flood and storm damage). The analysis reveals the relevance of the various uncertainty sources at varying hazard magnitude and on both the microscale and the macroscale level. Main findings are the dominance of uncertainty from the hazard magnitude and the persistent behaviour of intrinsic uncertainties on both scale levels. Our results shed light on the general role of uncertainties and provide useful insight for the application of the unified approach.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Boris F. PrahlORCiDGND, Diego RybskiORCiDGND, Markus Boettle, Jürgen KroppORCiDGND
URN:urn:nbn:de:kobv:517-opus4-410184
DOI:https://doi.org/10.25932/publishup-41018
ISSN:1866-8372
Titel des übergeordneten Werks (Englisch):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Untertitel (Englisch):unification and uncertainty analysis
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (534)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:18.01.2019
Erscheinungsjahr:2016
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:18.01.2019
Freies Schlagwort / Tag:buildings; coastal flood damage; model; natural hazards; of-the-art; sea-level rise; sensitivity-analysis; storm damage; vulnerability; wind
Ausgabe:534
Seitenanzahl:15
Quelle:Natural Hazards and Earth System Sciences 16 (2016), pp. 1189–1203 DOI 10.5194/nhess-16-1189-2016
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät
DDC-Klassifikation:9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen
Peer Review:Referiert
Publikationsweg:Open Access
Fördermittelquelle:Copernicus
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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