TY  - GEN
A1  - Boettle, Markus
A1  - Rybski, Diego
A1  - Kropp, Jürgen
T1  - Quantifying the effect of sea level rise and flood defence
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - In contrast to recent advances in projecting sea levels, estimations about the economic impact of sea level rise are vague. Nonetheless, they are of great importance for policy making with regard to adaptation and greenhouse-gas mitigation. Since the damage is mainly caused by extreme events, we propose a stochastic framework to estimate the monetary losses from coastal floods in a confined region. For this purpose, we follow a Peak-over-Threshold approach employing a Poisson point process and the Generalised Pareto Distribution. By considering the effect of sea level rise as well as potential adaptation scenarios on the involved parameters, we are able to study the development of the annual damage. An application to the city of Copenhagen shows that a doubling of losses can be expected from a mean sea level increase of only 11 cm. In general, we find that for varying parameters the expected losses can be well approximated by one of three analytical expressions depending on the extreme value parameters. These findings reveal the complex interplay of the involved parameters and allow conclusions of fundamental relevance. For instance, we show that the damage typically increases faster than the sea level rise itself. This in turn can be of great importance for the assessment of sea level rise impacts on the global scale. Our results are accompanied by an assessment of uncertainty, which reflects the stochastic nature of extreme events. While the absolute value of uncertainty about the flood damage increases with rising mean sea levels, we find that it decreases in relation to the expected damage.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 559 
KW  - climate-change
KW  - North-Sea
KW  - extremes
KW  - costs
KW  - 21st-Century
KW  - adaptation
KW  - statistics
KW  - impacts
KW  - trends
KW  - cities
Y1  - 2019
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/41240
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-412405
SN  - 1866-8372
IS  - 559
ER  -