2016
DOI: 10.1051/e3sconf/20160704013
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Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Abstract: Abstract. The dreadful floods of 1999, 2002 and 2003 in South of France have alerted public opinion on the need for a more efficient and a further generalized national flood-forecasting system. This is why in 2003 Irstea and Meteo-France have implemented a new warning method for flash floods, including on small watersheds, using radar rainfall data in real-time: the AIGA method. This modelling method currently provides real-time information on the magnitude of floods, but doesn't take into account the element… Show more

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Cited by 21 publications
(19 citation statements)
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“…In this scenario low population growth is expected in industrialized countries, while a high increase can be found in developing countries . This explains the difference between the results found in studies such as Samir and Lutz (2017), in which the highest global population expected growth is found for this scenario.…”
Section: Population Projectionscontrasting
confidence: 78%
“…In this scenario low population growth is expected in industrialized countries, while a high increase can be found in developing countries . This explains the difference between the results found in studies such as Samir and Lutz (2017), in which the highest global population expected growth is found for this scenario.…”
Section: Population Projectionscontrasting
confidence: 78%
“…For instance, DamaGIS has already been used in this regard in Saint-Martin et al (2016). Currently flood damage data are needed to calibrate and validate flood damage models at a fine scale.…”
Section: Perspectivesmentioning
confidence: 99%
“…This approach also makes it possible to obtain objective information on damage severity. Different studies suggest that the analysis of damage severity over time and space is made difficult by the absence or low quality of 20 available databases on flood damage and the lack of consensus upon flood data collection (Sene, 2012). With the DamaGIS database, this type of approach is made possible by using a simple rating scale operating on a range of damage indicators.…”
Section: The Rating System For Flood-related Damagementioning
confidence: 99%