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Published byLuke Nichols Modified over 8 years ago
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Wind Risk Prevention University of Ljubljana, Technical University of Dortmund, University of Split, Municipality of Ajdovščina
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Participating partners University of Ljubljana, Slovenia Technical University of Dortmund, Germany University of Split, Croatia Municipality of Ajdovščina, Slovenia
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Summary Wind related risk in three studied areas: Vipava valley (Slovenia) North Rhine-Westphalia (Germany) Dalmatia (Croatia) Five major aspects: Population Infrastructure Transportation Buildings Forests Wind measurements – high frequency Regulations
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History of wind related events Vipava valley Strong gusty wind bora (sl. burja) occuring 42 days/year Maximum speed exceeds 200 km/h Damages: Agriculture Transportation Buidings Infrastructure (e.g. electricity lines) Risk to human lives
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History of wind related events Vipava valley
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History of wind related events Dortmund Strong European winter storm: Kyrill (2007) Wind gusts 202 km/h Damages: Forests Hundreds of roofs Duesseldorf, Essen Thunder storm in June 2014 Wind of up to 144 km/h Damages: 25000 + 10000 city trees Malte Krudewig, von Bild 2014 © Michael Gohl, von WAZ 2014
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History of wind related events Dalmatia Strong gusty wind Damages: Agriculture Transportation Whirlwinds occur more regularly.
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Expected wind related events Climate change: available models ECHAM5 indicate possible increase in frequency and speed of wind in central and eastern central Europe. The frequency of whirlwinds is increasing in Mediteranean region.
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Basic criteria Sustainability – plans, organization, administration, financing. Transparency – decision-making, public and private funds and technical support. Efficiency – municipal performance of planned wind risk management measures. Relevance – security of the population and the social and economic development of the region.
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Main goals Raising awareness Among the population living in the risk area Improved information system Promoting participation of people in wind risk managament Promoting connection between the economic, social and political level in disaster risk management. Strengthening local disaster risk management capabilities Improved forest management strategy Improved traffic conctrol strategy Updated wind related bulding requirements
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