How bad is climate change going to impact water delivery? PowerPoint PPT Presentation

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Title: How bad is climate change going to impact water delivery?


1
How bad is climate change going to impact water
delivery?
Kevin Richards and K.T.Shum, EBMUD - California
Water and Environmental Modeling Forum Annual
Meeting, 2004
2
Known facts about climate change
  • Average global surface temperature has increased
    by 0.6C since the late 19th century.
  • Evidence of reduction in Artic sea ice and
    continental glaciers.
  • 1.0 to 2.0 mm/yr of global average sea level rise
    during the 20th century.

Likely reductions in California water supply
Most global climate models estimate an average
increase of at least 2oC over the next century
under business-as-usual scenario. This could
  • Reduce spring snowmelt ? increase need for water
    storage in reservoirs
  • Increase urban water use, increase evaporation
    and evapotranspiration
  • Etc.

But by how much?
3
Some quantitative results on potential water
delivery impacts in California
  • Warming (i.e. early snowmelt)
  • Preliminary studies using CALSIM II, Bardini
    et.al. 2001
  • 20th century diminishing snowmelt trend extended
  • 2.5 reduction in total CVP/SWP exports during
    1928-34 drought
  • Preliminary studies using EBMUDSIM, Richards 2003
  • Shift 28 of historical Apr-Jul runoff to Nov-Mar
  • lt1 reduction in Mokelumne deliveries during
    1928-34 drought
  • Reduced precipitation
  • Brekke et.al. 2003
  • PCM scenario w/ 13 reduction in San Joaquin
    River region annual runoff
  • Negligible reduction in dry-year deliveries to
    east-side contractors 14 reduction in dry-year
    deliveries to west-side contractors (Delta
    exporters)
  • Richards 2003
  • 10, 20, 30 reduction in annual runoff
  • 4, 6, 12 reduction in dry-year deliveries to
    Mokelumne water users

4
Not many, and by not as much. Why?
5
Some apparent reasons for relatively small water
delivery impacts simulated
  • Use of historical hydrology
  • Climate models project long term trends and may
    not account for all critical factors influencing
    climate variability (year-to-year and
    month-to-month).
  • Most of the studies utilize a climate change
    forecast superimposed on the 20th century
    hydrologic sequence. This presents no new
    information about potential climate variability
    and more critical hydrological sequences.
  • Smart flood control
  • Models (e.g. EBMUDSIM) know when to begin
    reservoir refill according to how much snowpack
    remains in the watershed.
  • Depending on the systems rainflood requirements,
    there is enough snowmelt to refill in all but a
    few years of the historical record due to a 28
    shift of runoff.
  • If those years were to precede a critical drought
    then results could be more substantial The
    sequence of wet and dry years is important!

6
What are some alternate approaches?
7
Focus on critical factors affecting water
delivery
  • Climate research and modeling
  • Climate variability Quantify linkage between
    precipitation and major drivers (e.g. PDO, ENSO)
    identify factors influencing extreme events
    (e.g. Pineapple Express) and quantify
    probability of occurrence in each watershed.
  • Watershed hydrology Quantify relationships
    between climate variables and hydrology variables
    (e.g. temperature and snowpack, precipitation and
    runoff) in each watershed.
  • Water delivery impacts research and modeling
  • Reservoir operations Quantify potential changes
    in hydrology-based rules and agreements under
    climate changes (e.g. flood control, target
    storage, water use, instream flows). Develop
    models to relate project operations to hydrology
    rather than utilizing historical data and
    empirical formulations.
  • Mitigation strategies - Lund et. al., 2003 and
    VanRheenan et.al., 2004 have explored mitigation
    strategies to cope with climate change impacts.
    This is an important aspect of understanding the
    problem.
  • Conduct more comprehensive sensitivity analyses.

and break the problem into smaller pieces.
8
Preliminary results from EBMUDSIM
Kevin Richards, EBMUD
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