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Climate Change Impact Assessment
    for Sydney’s Water Supply




S. Maheswaran (Mahes), J. Martin and G. Kibria
        Sydney Catchment Authority




                                                 1
Study background




This Study is a collaboration between

•Commonwealth Scientific and Industrial Research Organisation (CSIRO)
•Australian Government Department of Climate Change and Energy Efficiency
•Office of Environment and Heritage (OEH)
•NSW Office of Water (NOW)
•Sydney Catchment Authority (SCA)
•Sydney Water (SWC)
•University of New South Wales (UNSW)




                                                                            2
Sydney Catchment Authority


•   Owns 21 storage dams and weirs
•   Stores 2.6 million megalitres
•   Covers 16 000 square kilometres
•   Supplies bulk water for treatment and supply
    to 4.5 million people (60% of NSW)
•   Supplies raw water to 11 water filtration plants
•   Supplied 404 000 ML in 2011
•   250 staff




                                                       3
Greater Sydney’s Water Supply System

Main Storages
   • Warragamba
   • Upper Nepean Dams (Avon,
   Nepean, Cataract and
   Cordeaux)
   • Shoalhaven System
   (Wingecarribee, Fitzroy Falls
   and Tallowa Dam)
   • Blue Mountains dams,
   • Woronora Dam
   • Prospect Dam


Desalination Plant 250ML/d
Upgradable to 500ML/d


                                       4
Long term planning challenges

 •   Climate variability – Wet and dry cycles
 •   Population increase – Population to reach 5.7 Millions by
     2036
 •   Water for environment –Environmental releases (80/20)
     commenced for Upper Nepean dams, Woronora dam and
     Tallowa dam and decisions of release regime from
     Warragamba Dam to be made in 2014.
 •   Degree of success of water conservation, demand
     management and recycling projects
 •   Climate Change Uncertainty




                                                                 5
Historic rainfall and inflow variability

  •   Water Supply system is exposed to high rainfall and inflow

  variability

  •  Warragamba supplies almost 80% of the demand, estimated
  inflows and rainfall is shown below for last 120 years




                                                                   6
GCM and Downscaling Method used

 •   Rainfall, Evaporation and Temperature data were downscaled to the
     local/regional level using statistical techniques developed by
     UNSW
 •   Outputs from CSIRO Mk3 GCM runs for three greenhouse gas
     emission scenarios—representing low, mid and high emission futures
     (B1, A1B, and A2 respectively)

     To better represent the uncertainty in possible climates, 100
     replicates of rainfall and evaporation estimates were produced
     for the current climate and for each the future climate change
     scenarios in 2030 and 2070

     The climate period for 1960–2002 is used as the baseline in this
     study as it is representative of the recent average climate in the
     Sydney region. It is referred to as the current climate

                                                                          7
Climate Scenarios
  In this analyses, three scenarios were
 used - B1, A1B, A2 (Only A2 scenario
 presented here)


 Three time frames
 were used
  Current climate
 between 1960 and
 2003; and
  Future climates
 21-year period
 centred around 2030
 (2020-2040) and
 2070 (2060-2080)



                                           8
Observed and Current Climate Rainfall Data


Downscaled and
observed annual
average rainfall
distribution is
shown in the LH
Figure.

In general the
average GCM
downscaled rainfall
and evaporation are
a reasonable
representation of
the current climate
(RH Figure)


                                             9
Rainfall-Runoff Model

HSPF catchment models were calibrated using traditional techniques
with an emphasis on ensuring that dry periods are accurately
represented. Calibration was undertaken to observed stream flow
estimates of periods up to 20 years and then validated with a balance of
up to 80 years.

                            Warragamba Annual inflows
        8000
                                                                      Obs
        7000
                                                                      HSPF
        6000
        5000
 GL/a




        4000
        3000
        2000
        1000
          0
          1885   1905      1925         1945            1965   1985   2005




                                                                             10
Yield Assessment


Yield is the maximum amount of water that can be extracted on a
sustainable basis from the water supply system within the constraints of
the design criteria – reliability, robustness & security.

Design Criteria in SCA’s Operating Licence

Security: the SCA’s storages do not approach emptiness (defined
          as 5% of water in the storage) more often than 0.001% of
          the time.
Reliability: restrictions last no longer than 3% of the time. That is,
            restrictions do not last for too long during any one drought
            event.
Robustness: restrictions occur no more often than once in every
              ten years. That is, restrictions are not too frequent



                                                                           11
Scenario A2 : Annual Average Rainfall

Downscaling
process was used
to generate 100
rainfall and
evaporation daily
sequences for
climate scenarios
A2 for the 2030 and
2070 assessment
periods




                                        12
A2 Scenario – Likely changes



•Inland regions consisting of the majority of the
Warragamba and Shoalhaven catchments tend to
become drier with less average rainfall and more
evaporation
•Coastal catchments slightly higher rainfall

•The results showed that small reductions of average
rainfall and small increases in evaporation could
result in disproportionate reductions to inflows. This
is mostly due to concurrence of rainfall reduction and
evaporation increase.

                                                         13
Low persistence in future CC scenarios

• Persistence is the relationship between
rainfall and inflows in one year and those in
adjacent years.
•This factor leads to long periods of drought
and is a key factor in the assessment of
supply systems with many years of supply
storage capacity.
•The persistence is statistically measured
as a correlation between each year’s flow
and flows for previous years.
•Figure shows the lag-1 coefficient of the
Warragamba Current Climate and A2
2030 inflows

•Key finding
• GCM downscaled rainfall for the future
climate and resultant inflows did not show
any persistent droughts and lacked any lag-
1 correlation on annual scales.



                                                14
Conclusion

The yield results were published in the NSW Office of Water Web Water
for Life

Climate change impacts on water supply were assessed based on a
specified water supply system configuration that represents a range of
government policy decisions and planned infrastructure

Yield of the Greater Sydney Water Supply System

•For A2 scenario,
     in 2030 the yield has been reduced down by around 8% and
     in 2070, yield is reduced by around 11%.




                                                                         15
Findings

• Bias in the annual level persistence in the downscaled rainfall is
recognized as a major issue in assessing climate change impacts on
water supply yield and is a key knowledge gap.

• Further research required to investigate the issue of persistence in the
GCM simulated variables and develop a methodology to correct the
GCM variables so that rainfall obtained using these variables has the
proper variability

• SCA is partnering a study to address the shortcomings
• The new study will
     Improve statistical downscaling method
     Incorporate Multiple GCM’s and RCM’s
     Explore dynamic downscaling methods
                                                                             16
17

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Climate Change Impact on Sydney's Water Supply

  • 1. Climate Change Impact Assessment for Sydney’s Water Supply S. Maheswaran (Mahes), J. Martin and G. Kibria Sydney Catchment Authority 1
  • 2. Study background This Study is a collaboration between •Commonwealth Scientific and Industrial Research Organisation (CSIRO) •Australian Government Department of Climate Change and Energy Efficiency •Office of Environment and Heritage (OEH) •NSW Office of Water (NOW) •Sydney Catchment Authority (SCA) •Sydney Water (SWC) •University of New South Wales (UNSW) 2
  • 3. Sydney Catchment Authority • Owns 21 storage dams and weirs • Stores 2.6 million megalitres • Covers 16 000 square kilometres • Supplies bulk water for treatment and supply to 4.5 million people (60% of NSW) • Supplies raw water to 11 water filtration plants • Supplied 404 000 ML in 2011 • 250 staff 3
  • 4. Greater Sydney’s Water Supply System Main Storages • Warragamba • Upper Nepean Dams (Avon, Nepean, Cataract and Cordeaux) • Shoalhaven System (Wingecarribee, Fitzroy Falls and Tallowa Dam) • Blue Mountains dams, • Woronora Dam • Prospect Dam Desalination Plant 250ML/d Upgradable to 500ML/d 4
  • 5. Long term planning challenges • Climate variability – Wet and dry cycles • Population increase – Population to reach 5.7 Millions by 2036 • Water for environment –Environmental releases (80/20) commenced for Upper Nepean dams, Woronora dam and Tallowa dam and decisions of release regime from Warragamba Dam to be made in 2014. • Degree of success of water conservation, demand management and recycling projects • Climate Change Uncertainty 5
  • 6. Historic rainfall and inflow variability • Water Supply system is exposed to high rainfall and inflow variability • Warragamba supplies almost 80% of the demand, estimated inflows and rainfall is shown below for last 120 years 6
  • 7. GCM and Downscaling Method used • Rainfall, Evaporation and Temperature data were downscaled to the local/regional level using statistical techniques developed by UNSW • Outputs from CSIRO Mk3 GCM runs for three greenhouse gas emission scenarios—representing low, mid and high emission futures (B1, A1B, and A2 respectively) To better represent the uncertainty in possible climates, 100 replicates of rainfall and evaporation estimates were produced for the current climate and for each the future climate change scenarios in 2030 and 2070 The climate period for 1960–2002 is used as the baseline in this study as it is representative of the recent average climate in the Sydney region. It is referred to as the current climate 7
  • 8. Climate Scenarios In this analyses, three scenarios were used - B1, A1B, A2 (Only A2 scenario presented here) Three time frames were used  Current climate between 1960 and 2003; and  Future climates 21-year period centred around 2030 (2020-2040) and 2070 (2060-2080) 8
  • 9. Observed and Current Climate Rainfall Data Downscaled and observed annual average rainfall distribution is shown in the LH Figure. In general the average GCM downscaled rainfall and evaporation are a reasonable representation of the current climate (RH Figure) 9
  • 10. Rainfall-Runoff Model HSPF catchment models were calibrated using traditional techniques with an emphasis on ensuring that dry periods are accurately represented. Calibration was undertaken to observed stream flow estimates of periods up to 20 years and then validated with a balance of up to 80 years. Warragamba Annual inflows 8000 Obs 7000 HSPF 6000 5000 GL/a 4000 3000 2000 1000 0 1885 1905 1925 1945 1965 1985 2005 10
  • 11. Yield Assessment Yield is the maximum amount of water that can be extracted on a sustainable basis from the water supply system within the constraints of the design criteria – reliability, robustness & security. Design Criteria in SCA’s Operating Licence Security: the SCA’s storages do not approach emptiness (defined as 5% of water in the storage) more often than 0.001% of the time. Reliability: restrictions last no longer than 3% of the time. That is, restrictions do not last for too long during any one drought event. Robustness: restrictions occur no more often than once in every ten years. That is, restrictions are not too frequent 11
  • 12. Scenario A2 : Annual Average Rainfall Downscaling process was used to generate 100 rainfall and evaporation daily sequences for climate scenarios A2 for the 2030 and 2070 assessment periods 12
  • 13. A2 Scenario – Likely changes •Inland regions consisting of the majority of the Warragamba and Shoalhaven catchments tend to become drier with less average rainfall and more evaporation •Coastal catchments slightly higher rainfall •The results showed that small reductions of average rainfall and small increases in evaporation could result in disproportionate reductions to inflows. This is mostly due to concurrence of rainfall reduction and evaporation increase. 13
  • 14. Low persistence in future CC scenarios • Persistence is the relationship between rainfall and inflows in one year and those in adjacent years. •This factor leads to long periods of drought and is a key factor in the assessment of supply systems with many years of supply storage capacity. •The persistence is statistically measured as a correlation between each year’s flow and flows for previous years. •Figure shows the lag-1 coefficient of the Warragamba Current Climate and A2 2030 inflows •Key finding • GCM downscaled rainfall for the future climate and resultant inflows did not show any persistent droughts and lacked any lag- 1 correlation on annual scales. 14
  • 15. Conclusion The yield results were published in the NSW Office of Water Web Water for Life Climate change impacts on water supply were assessed based on a specified water supply system configuration that represents a range of government policy decisions and planned infrastructure Yield of the Greater Sydney Water Supply System •For A2 scenario, in 2030 the yield has been reduced down by around 8% and in 2070, yield is reduced by around 11%. 15
  • 16. Findings • Bias in the annual level persistence in the downscaled rainfall is recognized as a major issue in assessing climate change impacts on water supply yield and is a key knowledge gap. • Further research required to investigate the issue of persistence in the GCM simulated variables and develop a methodology to correct the GCM variables so that rainfall obtained using these variables has the proper variability • SCA is partnering a study to address the shortcomings • The new study will  Improve statistical downscaling method  Incorporate Multiple GCM’s and RCM’s  Explore dynamic downscaling methods 16
  • 17. 17

Notas do Editor

  1. HSPF catchment models were calibrated using traditional techniques with an emphasis on ensuring that dry periods are accurately represented. Calibration was undertaken to observed stream flow estimates of periods up to 20 years and then validated with a balance of up to 80 years.
  2. This low persistence means that there are fewer significant droughts in the downscaled rainfall (Thyer et al., 2000) and inflows, resulting in a possible over-estimation of yield using the Wathnet model for water-supply allocation