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Climate change impacts and vulnerability in Europe 2016

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<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> on environmental systems<br />

Projections<br />

Future <strong>change</strong>s <strong>in</strong> the risk of river floods <strong>in</strong> <strong>Europe</strong><br />

have been simulated us<strong>in</strong>g a hydrological model<br />

driven by an ensemble of climate simulations (Rojas<br />

et al., 2012; Alfieri, Burek et al., 2015). Of particular<br />

<strong>in</strong>terest is the frequency analysis of flood peaks<br />

above the 100-year flood level, which is the average<br />

protection level of the <strong>Europe</strong>an river network<br />

(albeit with significant differences) (Rojas et al., 2013;<br />

Jongman et al., 2014).<br />

Map 4.8 shows the <strong>change</strong> <strong>in</strong> the level of one‐<strong>in</strong>‐a‐century<br />

(Q100) floods between the reference period <strong>and</strong> three<br />

future time periods based on the hydrological model<br />

LISFLOOD <strong>and</strong> an ensemble of seven climate models<br />

(Alfieri, Burek et al., 2015). Blue rivers <strong>in</strong>dicate an <strong>in</strong>crease<br />

<strong>in</strong> flood level <strong>and</strong> red rivers <strong>in</strong>dicate a decrease. For the<br />

end of the 21st century, the greatest <strong>in</strong>crease <strong>in</strong> Q100<br />

floods is projected for the British Isles, north-west <strong>and</strong><br />

south-east France, northern Italy <strong>and</strong> some regions<br />

<strong>in</strong> south-east Spa<strong>in</strong>, the Balkans <strong>and</strong> the Carpathians.<br />

Mild <strong>in</strong>creases are projected for central <strong>Europe</strong>, the<br />

upper section of the Danube <strong>and</strong> its ma<strong>in</strong> tributaries. In<br />

contrast, decreases <strong>in</strong> Q100 floods are projected <strong>in</strong> large<br />

parts of north-eastern <strong>Europe</strong> ow<strong>in</strong>g to a reduction <strong>in</strong><br />

snow accumulation, <strong>and</strong> hence melt-associated floods,<br />

under milder w<strong>in</strong>ter temperatures. These results are<br />

consistent with earlier studies (e.g. Dankers <strong>and</strong> Feyen,<br />

2009; Ciscar et al., 2011; Rojas et al., 2012). While the<br />

ensemble mean presented <strong>in</strong> Map 4.8 provides the best<br />

assessment of all model simulations together, <strong>in</strong>dividual<br />

simulations can show important differences from the<br />

ensemble mean for <strong>in</strong>dividual catchments. This is partly<br />

the result of significant decadal-scale <strong>in</strong>ternal variability<br />

<strong>in</strong> the simulated climate (Feyen et al., 2012). Furthermore,<br />

the LISFLOOD analysis is restricted to the larger rivers<br />

<strong>in</strong> <strong>Europe</strong>, which may not be representative of a whole<br />

country or region. For example, <strong>in</strong> northern <strong>Europe</strong>,<br />

ra<strong>in</strong>fall-dom<strong>in</strong>ated floods <strong>in</strong> smaller rivers may <strong>in</strong>crease<br />

because of projected <strong>in</strong>creases <strong>in</strong> precipitation amounts,<br />

even where snowmelt-dom<strong>in</strong>ated floods <strong>in</strong> large rivers<br />

are projected to decrease (Vormoor et al., <strong>2016</strong>).<br />

Changes <strong>in</strong> flood frequencies below the protection level<br />

are expected to have less significant economic effects<br />

<strong>and</strong> affect fewer people than even small <strong>change</strong>s <strong>in</strong> the<br />

largest events (e.g. with a return period of 500 years).<br />

For a number of <strong>Europe</strong>an river bas<strong>in</strong>s, <strong>in</strong>clud<strong>in</strong>g the<br />

Po, Duero, Garonne, Ebro, Loire, Rh<strong>in</strong>e <strong>and</strong> Rhone, an<br />

<strong>in</strong>crease <strong>in</strong> extreme floods with a return period above<br />

500 years is projected; this <strong>in</strong>cludes river bas<strong>in</strong>s such<br />

as Guadiana <strong>and</strong> Narva, where the overall frequency of<br />

flood events is projected to decl<strong>in</strong>e (Alfieri, Burek et al.,<br />

2015). A follow-up study comb<strong>in</strong>ed the results of this<br />

flood hazard assessment with detailed exposure maps<br />

to estimate the economic <strong>and</strong> health risks from river<br />

floods <strong>in</strong> <strong>Europe</strong>. The results suggest that a high climate<br />

<strong>change</strong> scenario could <strong>in</strong>crease the socio-economic<br />

impact of floods <strong>in</strong> <strong>Europe</strong> more than three-fold by<br />

the end of the 21st century. The strongest <strong>in</strong>crease <strong>in</strong><br />

flood risk is projected for Austria, Hungary, Slovakia<br />

<strong>and</strong> Slovenia (Alfieri, Feyen et al., 2015). A comb<strong>in</strong>ation<br />

of different adaptation measures has been estimated<br />

to reduce economic damage from (fluvial <strong>and</strong> coastal)<br />

floods substantially by 67 to 99 % <strong>and</strong> reduce the<br />

number of people flooded by 37 to 99 % for the<br />

100‐year event (Mokrech et al., 2014).<br />

142 <strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> <strong>2016</strong> | An <strong>in</strong>dicator-based report

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