2010
DOI: 10.1007/s11027-009-9211-8
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River flood risk and adaptation in Europe—assessment of the present status

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Cited by 93 publications
(44 citation statements)
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“…If we assume that only half of the losses would be financed by the government (an assumption which may not be too far from reality, see Lugeri, Kundzewicz, Genovese, Hochrainer, & Radziejewski, 2010), we find Australia able to finance direct losses up to the 400 year event. However, it is well known that taking loans for financing disasters in Australia is not currently seen as politically acceptable, therefore when we considering only the 10 billion USD from budget diversion a different picture emerges.…”
Section: Risk Layers For Australiamentioning
confidence: 94%
“…If we assume that only half of the losses would be financed by the government (an assumption which may not be too far from reality, see Lugeri, Kundzewicz, Genovese, Hochrainer, & Radziejewski, 2010), we find Australia able to finance direct losses up to the 400 year event. However, it is well known that taking loans for financing disasters in Australia is not currently seen as politically acceptable, therefore when we considering only the 10 billion USD from budget diversion a different picture emerges.…”
Section: Risk Layers For Australiamentioning
confidence: 94%
“…de Moel et al (2009) noted that flood extent maps are the most commonly produced flood maps in Europe, and that only very few countries have developed flood risk maps that comply with the European Directive (2007/60/EC). Later, Lugeri et al (2010) developed a flood hazard map of Europe, identifying low-lying areas adjacent to rivers, and used it with land-use data and a damage-stage relationship to identify flood risk. A coarse global-scale flood risk assessment was also developed by Ward et al (2013) using global hydrological and hydraulic modelling.…”
Section: Flood Hazard Exposure Vulnerability and Riskmentioning
confidence: 99%
“…Overall annual aggregated losses from flood disasters in Europe, as well as insured (inflation adjusted) losses, are increasing, but with considerable volatility from year to year (Kron, 2012;Lugeri et al, 2010).…”
Section: Observations -Change Detection In Flood Datamentioning
confidence: 99%