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