Yates Michelin - Littoral 2010 (Education Centre)
Transcript of Yates Michelin - Littoral 2010 (Education Centre)
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Climate Change impacts,
adaptation, and associated costs
for coastal risks in France
G. Le Cozannet1, N. Lentre1, M. Yates Michelin1, P. Nacass2, B. Colas3,
C. Perherin4, C. Peinturier5, C. Vanroye6, C. Hajji7, B. Poupat3,
C. Azzam8, J. Chemitte7, and F. Pons9
1 BRGM, 2 Mto-France, 3 MEEDDM/SGDD/SoES, 4 CETMEF, 5 MEEDDM/CGDD/SEEI,6 DREAL/LR, 7 MRN, 8MEEDDM/DGPR/BRM, 9 CETE Mditerrane
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Context: application of the French Climate Plan (2006)
> 2
Natural Risks, Insurance, and Adaptation to Climate Change (RNACC)led by the MEEDM/DGPR/SRNH (Ministry of Ecology, Energy, Sustainable Development and Seas/Directorate General for
Risk Prevention/Service des risques naturels et hydrauliques)
Objective: initiate an evaluation of potential damages and possible mitigation strategiesto limit the cost of impacts
An interministerial working group, Climate change impacts, adaptation, and
associated costs for coastal risks in France , was created to address this objective.
Within which, an oversight committee was:
responsible for the methodological guidelines
guaranteed the homogeneity of the assessment methods
and 7 sectoral groups were created, one of which is:
Sub working groups:
- Swelling and shrinking of clays
- Lanslides
- Floods
- Coastal risks
Estimate costs of damages caused by
coastal erosion and inundation, and
identify what is specifically caused by
climate change
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RNACC Project: Coastal Risks
> Currently, 25% of the French coastlineis eroding
> Vulnerability to coastal inundation hasbeen highlighted by the impacts of
several severe storms: Lothar in 1999 and Xynthia in 2010 along the
Atlantic coast
1982, 1997, and 2003 storms on the Mediterraneancoast
> Climate change impacts will exacerbateexisting coastal erosion and inundation
hazards in the 21st century (Nicholls et
al., 2007)
> 3
Damage to port structures (le de R, port de La
Flotte). Source: Pedreros et al. (2010)
Inundation during Xynthia, March 2010.
Source: Rgis Duvigneau
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Coastal Risks Methodology
> 4
Coastal inundation and
erosion hazards in 2100
Climate change
hypothesisCurrent demographic
and economic statistics
in coastal areas
Evaluation of potential impacts to people,
residences, and public and private assets in 2100
Recommendations
for adaptation
Estimates of
associated costs
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Methodology applied in Languedoc-Roussillon
region in France
> 5
> 215 km of FrenchMediterranean coastline
between the border with
Spain and the Rhne
Delta, characterized by:
Hard rock cliffs with pocket
beaches in the southern
portion
Sandy beaches separated
by three rocky outcrops
Coastal lagoons separated
from the MediterraneanSea by lidos, or narrow
strips of beach with low-
lying dunes
Languedoc-Roussillon
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Evaluation of potential climate change impacts
> Potential climate change impacts Sea level rise
Storm regime
Storm surges
Wave climate
Precipitation
> 6
Climate change
hypothesis
Le Havre, France, December 2007
Source: Charlotte Grimbert
La Faute-sur-Mer and Aguillon, France,
February 2010
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Evaluation of potential climate change impacts
> Potential climate change impacts Sea level rise increase in sea level rise (Meehl et al., 2007;
Rahmstorf, 2007; Grinsted et al., 2009; Ullman et
al., 2007; EUROSION, 2004; MICORE, 2009)
Storm regimes regional climate models have not shown
Storm surges significant changes (Dqu et al., 2003; Ullman,
Wave climate 2008 ; Lionello et al., 2008; MICORE, 2009)
Precipitation potential decrease in total precipitation
potential increase in number of days with morethan 10mm of precipitation (IMFREX, 2002)
> 7
?
Climate change
hypothesis
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Evaluation of potential climate change impacts
> Potential climate change impacts Sea level rise increase in sea level rise (Meehl et al., 2007;
Rahmstorf, 2007; Grinsted et al., 2009; Ullman et
al., 2007; EUROSION, 2004; MICORE, 2009)
> 8
Scenario adopted : 1 m sea level rise in 2100
other climate change impacts are unable to be quantified
and are not taken into account in this study
Climate change
hypothesis
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Coastal erosion hazard zones
> Current trends in Languedoc-Roussillon: Decrease in supply of large-grained sediments
Increase in shoreline erosion
> Future trends in Languedoc-Roussillon: Uncertain, but likely to show at least a continuation of
current trends
Landward migration of lidos and breaching during stormevents (Paskoff, 2001)
Coastal inundation and
erosion hazards in 2100
Photo from 2003, Messina (2004)
Paskoff, 2001
Current situation
In 2100, with adequate sediment supplies
In 2100, with a depletion of sediment supplies
Erosion hypothesis:
partial opening of lidos
and erosion of sandy
coastline, estimated
with a 500m buffer zone
landward of the current
shoreline
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Coastal inundation hazard zones
10-year return
period event
100-year return
period event
10-year return
period event
100-year returnperiod event
Sea level
rise
In 2100 with 1 m of sea level rise
TODAY
Coastal inundation and
erosion hazards in 2100
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Hazard Evolution
Hazard
Effect of
climate
change
Type TimescaleReversibility
of effects
Proposed estimation of the
impact zone
Erosion aggravation continuousintra-annual
to multiannualirreversible
a buffer zone of 500 m inlandof erodible coastal zones
Permanentsubmersion
creation of anew hazard
continuousmultiannual to
decadalirreversible
the zone from 0 to +1 melevation
Temporarysubmersion
aggravationdis-
continuousa few hours
to a few daysreversible
the zone between +1 and +3 melevation
Characteristics of hazards considered in this study,
adapted from Garcin et al. (2009)
Coastal inundation and
erosion hazards in 2100
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Exposure of people and residences to
coastal hazards
Current demographic and
economic statistics in coastal areas
Reconstructed population density in the zones with an
elevation of less than 5m above sea level in
Languedoc-Roussillon (Source : CGDD SOeS, IGN)
Population density
500m-wide buffer zone:exposed to erosion in 2100
Below 1m NGF:exposed to permanent
inundation in 2100
Between +1m and +2m NGF:exposed to temporary inundation by
storms with a 10-year return period
Between +2m and +3m NGF:exposed to temporary inundation bystorms with a 100-year return period
4 zones affected bycoastal erosion and
inundation hazards
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Potential impacts to people and
residences in 2100
Evaluation of potential impacts to
people, residences, and public and
private assets in 2100
Water
Wetlands
Open spaces (with little vegetation)
Low-lying vegetation
Forests
Prairies and heterogeneous agriculture
Permanent agriculture
Arable landArtificial green spaces (non-agricultural)
Industrial zones, landfills, construction
Urban zones
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Surfaces en eau
Zones humides
Espaces avec peu de vgtation
Milieux vgtation arbustive et/ou herbace
Forts
Prairies et zones agricoles htrognes
Cultures permanentes
Terres arables
Espaces verts artificialiss, non agricoles
Zones indus., rseaux, dcharges et chantiers
Zones urbanises
As the distance from the
coast increases, thepercentage of urban
zones decreases(i.e. population, residences, public
and private assets, etc.)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Surf
cs
u
Zones
umi
es
s
ces
ec
eu
e t
tion
Milieux t
tion
r usti eet/ou
er
c e
For ts
r
iries et zones
ricoles
t rognes
ultures
ermanentes
Terres arables
s
aces erts artificialis s, nonagricoles
Zones indus., r seaux, dc
arges et c
antiers
Zones urbanises
Distance from t e s oreline Source : UE, SOeS, CORINE Land Cover 2000, Observatoire du littoral
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Potential impacts to people and
residences in 2100 (Rsultats CGDD/SoeS)
Evaluation of potential impacts to
people, residences, and public and
private assets in 2100
Hazard
In 2100
Irreversible
permanent inundation
or erosion hazard
Temporary inundation
caused by a 10-year return
period storm
Temporary inundation
caused by a 100-year
return period storm
Population 80,000 people 20,00 - 60,000 people 20,000 people
Residences 140,000 residences 40,000 - 100,000 residences 20,000 - 40,000 residences
Below 1m NGF:
exposed topermanent
inundation in 2100
OR
Between +1m and
+2m NGF:
exposed to temporaryinundation by stormswith a 10-year return
period
Between +2m and
+3m NGF:
exposed to temporaryinundation by stormswith a 100-year return
period
500m-wide
buffer zone:exposed to erosion in
2100
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Potential impacts to public and private
assests in 2100
Distribution of public and private assets:- Artisans, merchants, and service providers 53%
- Agricultural enterprises 17%
- Industries 16%
- Public establishments 14%
Current demographic and
economic statistics in coastal areas
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Potential impacts to public and private
assests in 2100 (Rsultats MRN)
Evaluation of potential impacts to
people, residences, and public and
private assets in 2100
Below 1m NGF:
exposed topermanent
inundation in 2100
OR
Between +1m and
+2m NGF:
exposed to temporaryinundation by stormswith a 10-year return
period
Between +2m and
+3m NGF:
exposed to temporaryinundation by stormswith a 100-year return
period
Hazard
In 2100
Irreversible permanent
inundation or erosion
hazard
Temporary inundation
caused by a 10-year
return period storm
Temporary inundation
caused by a 100-year
return period storm
Total number ofestablishments 10,000 establishments 3,000 9,000establishments 6,000 12,000establishments
Number of
employees
impacted
26,000 employees8,000 - 25,000
employees
16,000 33,000
employees
500m-wide
buffer zone:exposed to erosion in
2100
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Associated costs Estimates ofassociated costs
Estimations of annual and
cumulative costs of coastal
risks caused by climate change
Cost of potential
damages to
residences
Cost of direct,
tangible damages
(estimate)
Cost of direct and
indirect, tangible
damages (estimate)
Coastal erosion and permanent
inundation
(only destroyed buildings)
150 Million / year 300 Million / year 600 Million / year
Coastal erosion and permanent
inundation
(buildings and land loss)
350 Million / year 700 Million / year 1400 Million / year
Temporary inundation 15 Million / year 30 Million / year 60 Million / year
Examples of
damages Tangible Intangible
DirectDestruction of an economic asset(e.g.. buildings, public transportation orcommunication infrastructure, etc.)
Loss of human life, or loss of a naturalspace
IndirectLoss of use(e.g. losses due to non-use of propertydestroyed or damaged by a catastrophe) .
Increase in the vulnerability of thepopulation affected by a crisis
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Adaptation recommendations
> Enhance knowledge, particularly with regular data collection atrepresentative study sites to improve long term coastal evolution modeling
> Share knowledge with the public to accurately communicate risk perception
> Development of planning progams that take into account climate change(e.g. government risk prevention plans, inundation zone maps, local urban
planning documents, land use planning management)
> Envisage protection, relocation, and adaptation strategies at all levels ofmanagement (local, regional, and national)
> Adopting without regrets adaptation measures addressing todays risksas a first step toward addressing future coastal risks
Recommendations
for adaptation
Insufficient data for robust cost-benefit analyses
Increased risk of over-adaptation (high cost of adaptation) and
under-adaptation (high cost of damages), both with strong
economic consequences (Hallegatte et al., 2006)
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Limitations of this study: chain of errors
Climate change
Local sea level rise
Long term coastal evolution
(erosion/accretion)
Ability to accurately identify
affected zones
Accurate population andland use statistics
Ability to estimate
associated costs
A continuation of this
study investigates these
3 sources of error, to
quantify and minimize thelargest errors to improve
the RNACC method.
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Conclusions
> Costs of current risks are negligible in comparison to the
cost of future risks
> Costs of potential damages due to erosion and permanentinundation are larger than those due to temporaryinundation
> Emphasizes the importance of developing long-term coastalmanagement plans at all levels of governance
> At a minimum, it is necessary to reduce short-term risks asa first step toward reducing long-term risks
> Highlights a number of limitations and sources of errors inclimate change impact studies due to limited dataavailability (study in progress to quantify and reduce theseerrors)
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Thank you for your attention!
Study financed by:
French Ministry of Ecology, Energy, Sustainable
Development, and the Sea (MEEDDM)
and
BRGM Research Division
Photo: Yann Krien
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Quality of Topographic Data
Datasets available in Languedoc-
Roussillon include: DTM of IGN, with 50m horizontal
resolution and 1m vertical steps
DTM of Intermap, with 5m horizontal
resolution
DTM - Lidar data, with 2m horizontal
resolution
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Limitations of this study: chain of errors
Climate change
Local sea level rise
Long term coastal evolution
(erosion/accretion)
Ability to accurately identify
affected zones
Accurate population andland use statistics
Ability to estimate
associated costs
Sea level rise scenarios:0, 0.5, 1, and 1.5m
Long term coastal evolution: The Bruun Rule
Extrapolation of historical trends
Extrapolation of historical trends with anajustment based on the Bruun Rule
A fixed erosion rate (i.e. 500m in this study)
Scientific expertise
Quality of available topographic data:
50m horizontal resolution, 1m vertical steps5m horizontal resolution
2m horizontal resolution
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Sea Level Rise Scenarios
> Total land area affected by erosion, following the Bruun Rule and
four different sea level rise scenarios: Sea level rise 0m = 0 km2
Sea level rise 0.5m = 1.26 km2
Sea level rise 1m = 2.52 km2
Sea level rise 1.5m = 3.78 km2
Erosion caused by
sea level rise
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Long Term Coastal Evolution
> Land area affected by erosion following four different methods of
assessment: Fixed buffer zone (RNACC project) = 14.29 km2
Bruun Rule = 2.52 km2
Extrapolation of historical trends = 1.86 km2 (+0.65 km2)*
Extrapolation of historical trends, = 3.22 km2 (+0.21 km2)*
adjusted with Bruun Rule * land area gained by accretion
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Quality of Topographic Data
Donnes
altimtriquesErosion*
Submersion
permanente**
Submersion
temporaire,
vnementdcennale**
Submersion
temporaire,
vnementcentennale**
MNT de lIGN 1.2 km2 8.5(2.3) km2 4.0(3.2) km2 3.9 (3.7) km2
MNT dIntermap 2.6 km2 11.0(5.1) km2 3.3 (3.2) km2 1.1 (1.1) km2
MNT du Lidar 0.7 km2 4.3 (3.3) km2 3.5(3.3) km2 1.4 (1.4) km2