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Adaptation to the Impacts of Climate Extremes in Central Europe: A Case Study in a Rural Area in the Czech Republic

Authors: Robert Stojanov; Barbora Duží; Tomáš Daněk; Daniel Němec; David Procházka;

Adaptation to the Impacts of Climate Extremes in Central Europe: A Case Study in a Rural Area in the Czech Republic

Abstract

The primary objective of this paper is to analyse households’ adaptation measures to the impacts of repeated extreme weather events, specifically floods, which belong amongst the most serious manifestation of ongoing climate change in Europe. The case study focuses on a rural area in the north-east part of the Czech Republic, in the catchment basin of the Bečva River. A total of 605 households were addressed within the framework of the questionnaire survey. On the basis of the conducted research, we determined that the total amount of adaptation measures adopted by those dwelling in residential homes within the investigated catchment area was relatively low. In contrast, however, one of the most important adaptation measures—house elevation—was applied by 46.94% of the houses (up to 1 m) and by 21.16% houses (elevated more than 1 m) respectively. We also found that the amount and scope of adaptation measures realized by households were influenced by certain socio-demographic factors of the inhabitants. The most statistically significant factors included households with more residents or families with more children living in the household, as well as those with a higher level of education. Flood experience, the level of damage, and individual flood risk perception also played an important role.

Country
Czech Republic
Related Organizations
Keywords

social inequality, Environmental effects of industries and plants, households, TJ807-830, adaptation, TD194-195, the Czech Republic, risk management, Renewable energy sources, household, Environmental sciences, flood risk perception, floods, GE1-350, Bečva River, climate extremes

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Average
Green
gold