Risk based design of flood defence systems: A preliminary analysis for the New Orleans Metropolitan...
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Risk based design of flood defence systems:
A preliminary analysis for the New Orleans Metropolitan Area
S.N. JonkmanM. Kok
M. Van LeddenJ.K. Vrijling
Background
Flooding of New Orleans due to hurricane KatrinaImprovements to hurricane protection system
Question: “How safe is safe enough?”Risk informed decision-making
Objective: “Apply economic optimization to New Orleans metropolitan area” Simplified and indicative approachStudy was part of “Dutch Perspective for Coastal Louisiana” by Netherlands Water Partnership
Economic optimization
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3 3.5 4 4.5 5 5.5 6
dike height (m)
Co
sts
(fl
10
ex
p6
)
Investments
Risk
Total Costs
optimum
Safety standards in the Netherlands
Applied after 1953 flood disaster in the Netherlands(Indirect) basis for safety standardsCurrent safety standards (derived in 1960’s) are expected to be outdated, due to growth of economy and population
Proposed flood protection system
Flood protection system proposed in Dutch perspective
Leading to different bowls / dike rings
Approach
Data is needed: Flood Damage Safety level: Flooding probability Investment costs and relationship with flooding
probability
Full scale risk analysis is preferred (IPET or FLORIS in the NL)
Here: Simplified approach is used Indicative estimates (‘order of magnitude’) Limited number of safety levels: 1/100, 1/1000,
1/5000, 1/10.000, …. Focussed on hurricane flooding (no rainfall and river
flooding)
Flood Damage
Based on evaluations of damage (IPET, Kok et al.): north NO (central part) $15 billion north NO: (eastern part) $ 10 billion south NO: $ 5 billion
(pre Katrina damages)
Risk to life and other types of consequences are not taken into account
Risk (=prob. x damage) determined as net present value
Real discount rate of 2% is used
Safety levels
Flooding probability is assumed to be equal to the probability of exceedance of design conditions (water level, waves)
Post Katrina safety level: 1/100 per year
Investments: Investments relate to levee improvement and
structures, e.g. floodgates Costs are in the range of $ 20 - $ 60 million / km
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10 100 1000 10000 100000
return perod (yr)
surg
e le
vel
Results: Central part of New Orleans
Optimal safety level: 1/5000
0,0E+00
2,0E+09
4,0E+09
6,0E+09
8,0E+09
1,0E+10
1,2E+10
1,4E+10
1,6E+10
1,8E+10
10 100 1000 10000 100000 1000000
return period (yr)
Co
sts
(U
S $
)
Investments Risk Total costs
Results: Eastern part
Optimal safety level: 1/1000
0,0E+00
2,0E+09
4,0E+09
6,0E+09
8,0E+09
1,0E+10
1,2E+10
1,4E+10
1,6E+10
10 100 1000 10000 100000 1000000
return period (yr)
Co
sts
(U
S $
)
Investments Risk Total costs
South NO
Optimal safety level: 1/1000
0,0E+00
1,0E+09
2,0E+09
3,0E+09
4,0E+09
5,0E+09
6,0E+09
7,0E+09
8,0E+09
9,0E+09
10 100 1000 10000 100000 1000000
return period (yr)
Co
sts
(U
S $
)
Investments Risk Total costs
Sensitivity analysis: central part
flood probability Base case 1/5000 Flood Damage
- 50 % lower - 100% higher
1/1000 1/5000
Net Discount rate - 50% lower - 100% higher
1/5000 1/5000
Investment costs - 50% lower - 50% higher
1/5000 1/5000
Conclusions
It is possible to apply economic optimization to NO (and other areas)
Higher safety levels than 1/100 per year are obtained for densely populated areas
Obtained safety level for central NO is 1/5000 per year
With recent (higher) cost estimates a somewhat lower safety level (e.g. 1/1000 per year) could be obtained
Application of optimization leads to differentiation in protection levels
Recommendations
Similar analysis based on better estimates (costs, damage, safety levels and flooding probabilities)
Also for river flooding and rainfall Apply other perspective in decision-making, esp.
Risk to life Integrate such analyses in the decision-making
process with stakeholders
1.0E-09
1.0E-08
1.0E-07
1.0E-06
1.0E-05
1.0E-04
1.0E-03
1.0E-02
1.0E-01
1.0E+00
0 1 10 100 1,000 10,000 100,000
An
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ailu
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rob
ab
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y, f
Loss of Life, N