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HYPATIA NASSOPOULOS, PATRICE DUMAS, STEPHANE HALLEGATTE


 CLIMATE CHANGE, PRECIPITATIONS AND WATER MANAGEMENT
                   INFRASTRUCTURES


                        Water in Africa:
              Hydro-Pessimism or Hydro-Optimism?
               CEAUP, 2-3 October, Porto Portugal
                                                          1
Mediterranean r.+ CC + Water = ?

                 7% world’s population

                 3% world’s water resources,
                 temporal and spatial variability

                 Climate change: change in
                 precipitation patterns, decrease




                                               2
Climate change and Hydraulic infrastructures
  Present: stationary climate without taking into consideration climate change

  When variability increases, increasing dam and reservoir dimensions allows to
  capture more inter-annual variability until all is captured

  How to keep a satisfactory level of reliability by optimizing the available resources?


  Small mountainous catchments in Algeria and Greece

  Sensitivity analysis of climate model choice on the hydraulic infrastructure’s
  Optimal Dimension

  Cost Benefit Analysis of different dam heights under climate change         optimal
  storage capacity



                                                                                        3
Simulation of dam operation


  Simulate inflows under different constant precipitation and temperature
changes by using local run-off monthly coefficients

  Simulate dam operations (monthly) using simple rules:
       Serve fixed demand
       Overflow when inflow exceeds storage capacity
     If available water less than demand, consider that demand can not be
     reliably satisfied
  Compute demand at 95% reliability for different inflow changes




                                                                            4
Inflow and demand under climate change

  IPCC models output under A2 scenario       linear trends of
precipitation change

  Hypothesis of demand adapting to the available resources

  Each year the annual demand at 95% reliability for this inflow
change is used




                                                                5
Investment decision, Cost Benefit Analysis
Cost: Rock fill dam, trapezoidal section, local height/volume geometry
Benefits:
 Dt Demand at 95% reliability with climate change as computed previously
 Water price per m3 p
 Discount rate ρ


 NPV= (∑(1/(1+ρ))t p Dt 0.95)-Cost


 For each IPCC model, demand at a fixed level of reliability,water price
 and discount rate, we find the storage capacity which maximises the NPV

                                                                           6
Results




          7
Results




          8
Results




          9
Results




          10
Conclusions

Optimal storage capacity increases with increasing
precipitations

Optimal storage capacity increases with increasing variability

For the 12 models precipitation and variability are correlated

Wide range of optimal storage capacity




                                                                 11
obrigada!




            12

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Hypatia Nassopoulos Ppt

  • 1. CIRED laboratory HYPATIA NASSOPOULOS, PATRICE DUMAS, STEPHANE HALLEGATTE CLIMATE CHANGE, PRECIPITATIONS AND WATER MANAGEMENT INFRASTRUCTURES Water in Africa: Hydro-Pessimism or Hydro-Optimism? CEAUP, 2-3 October, Porto Portugal 1
  • 2. Mediterranean r.+ CC + Water = ? 7% world’s population 3% world’s water resources, temporal and spatial variability Climate change: change in precipitation patterns, decrease 2
  • 3. Climate change and Hydraulic infrastructures Present: stationary climate without taking into consideration climate change When variability increases, increasing dam and reservoir dimensions allows to capture more inter-annual variability until all is captured How to keep a satisfactory level of reliability by optimizing the available resources? Small mountainous catchments in Algeria and Greece Sensitivity analysis of climate model choice on the hydraulic infrastructure’s Optimal Dimension Cost Benefit Analysis of different dam heights under climate change optimal storage capacity 3
  • 4. Simulation of dam operation Simulate inflows under different constant precipitation and temperature changes by using local run-off monthly coefficients Simulate dam operations (monthly) using simple rules: Serve fixed demand Overflow when inflow exceeds storage capacity If available water less than demand, consider that demand can not be reliably satisfied Compute demand at 95% reliability for different inflow changes 4
  • 5. Inflow and demand under climate change IPCC models output under A2 scenario linear trends of precipitation change Hypothesis of demand adapting to the available resources Each year the annual demand at 95% reliability for this inflow change is used 5
  • 6. Investment decision, Cost Benefit Analysis Cost: Rock fill dam, trapezoidal section, local height/volume geometry Benefits: Dt Demand at 95% reliability with climate change as computed previously Water price per m3 p Discount rate ρ NPV= (∑(1/(1+ρ))t p Dt 0.95)-Cost For each IPCC model, demand at a fixed level of reliability,water price and discount rate, we find the storage capacity which maximises the NPV 6
  • 10. Results 10
  • 11. Conclusions Optimal storage capacity increases with increasing precipitations Optimal storage capacity increases with increasing variability For the 12 models precipitation and variability are correlated Wide range of optimal storage capacity 11
  • 12. obrigada! 12