Articles | Volume 18, issue 10
https://doi.org/10.5194/hess-18-4039-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4039-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Oct 2014
Research article |
| 14 Oct 2014
Determining regional limits and sectoral constraints for water use
T. K. Lissner
Geography Department, Humboldt University of Berlin, Germany
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Invited contribution by T. K. Lissner, recipient of the Division Outstanding Young Scientists Award 2014.
C. A. Sullivan
School of Environmental Science and Management, Southern Cross University, Lismore, Australia
D. E. Reusser
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
J. P. Kropp
Dept. of Earth and Environmental Sciences, Potsdam University, Potsdam, Germany
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
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Boris F. Prahl, Diego Rybski, Markus Boettle, and Jürgen P. Kropp
Nat. Hazards Earth Syst. Sci., 16, 1189–1203, https://doi.org/10.5194/nhess-16-1189-2016, https://doi.org/10.5194/nhess-16-1189-2016, 2016
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Damage functions are an essential tool for vulnerability assessment and the quantification of disaster loss. They are often tailored to specific hazards and regions, which complicates knowledge transfer between different hazards and places. In our work, we unify approaches for climate-related hazards, e.g. for storms and coastal floods. A unified damage function is embedded in an uncertainty framework, where we identify the dominating sources of uncertainty on local and regional scales.
M. Boettle, D. Rybski, and J. P. Kropp
Nat. Hazards Earth Syst. Sci., 16, 559–576, https://doi.org/10.5194/nhess-16-559-2016, https://doi.org/10.5194/nhess-16-559-2016, 2016
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We provide simple functional expressions to characterise the development of coastal flood damage for rising mean sea levels as well as implemented flood protection levels. Furthermore, we are able to quantify the aleatory uncertainty of our estimates. All results are mathematically proven and their usability confirmed by employing two case study regions. Thus, we gain fundamental insights into the interplay of coastal flood damage, the mean sea level, and flood defence.
M. Pfannerstill, B. Guse, D. Reusser, and N. Fohrer
Hydrol. Earth Syst. Sci., 19, 4365–4376, https://doi.org/10.5194/hess-19-4365-2015, https://doi.org/10.5194/hess-19-4365-2015, 2015
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To ensure reliable model results, hydrological processes have to be represented adequately in models. We present a framework that uses a temporal parameter sensitivity analysis and observed hydrological processes in the catchment to verify hydrological models. The framework is exemplarily applied to verify the groundwater structure of a hydrological model. The results show the appropriate simulation of all relevant hydrological processes in relation to processes observed in the catchment.
B. F. Prahl, D. Rybski, O. Burghoff, and J. P. Kropp
Nat. Hazards Earth Syst. Sci., 15, 769–788, https://doi.org/10.5194/nhess-15-769-2015, https://doi.org/10.5194/nhess-15-769-2015, 2015
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Winter storms are the most costly natural hazard for European residential property. Their costs can be assessed via damage functions relating storm intensity to loss. However, the heavy-tailed loss distribution and the high uncertainty pose difficulties for their application. We address these difficulties by comparing four empirical damage functions and providing model recommendations. In a broader context, we discuss the shape of the damage functions in the light of theoretical considerations.
T. K. Lissner, D. E. Reusser, J. Schewe, T. Lakes, and J. P. Kropp
Earth Syst. Dynam., 5, 355–373, https://doi.org/10.5194/esd-5-355-2014, https://doi.org/10.5194/esd-5-355-2014, 2014
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Climate change will have impacts on many different sectors of society, but a systematic method to quantify human well-being and livelihoods across sectors is so far unavailable. This paper presents the AHEAD approach, which allows for relating impacts of climate change to 16 dimensions of livelihoods and well-being. Using the example of changes in water availability, the results show how climate change impacts AHEAD. The approach also provides a tool to frame uncertainties from climate models.
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