Damage functions for climate-related hazards: unification and uncertainty analysis
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 o...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-05-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/16/1189/2016/nhess-16-1189-2016.pdf |
Summary: | 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 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. |
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ISSN: | 1561-8633 1684-9981 |