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Sea Level Rise

Local Level Project Implementations
CCPCA Conference
San Jose State University
October 11, 2013
Projects Incorporating SLR
• Sea Level Rise
• Port of San Francisco – SLR adaptation
• Port of Oakland – Levee raise
• Balboa Island Seawalls
• SLR and Climate Change
• Infrastructure Improvements
• Risk Analysis
Sea Level Rise Adaptation Ports of San Francisco and
Oakland

• Sea Level Rise Analysis,
• Coastal Inundation Study,
• Locate vulnerable areas, and
• Mitigation alternative analysis with
recommendations
Coastal Inundation
• 100-year event
• Existing
• 2050, +15 inches
• 2100, +55 inches
• 110 years of tidal data
• Ocean swell, wind waves and fresh water inflows
not modified for climate change
100-Year Water Level Results
Adaptation
• Port of Oakland raised levees +1 foot + foundation
• Port of San Francisco identified existing and
future sources of flooding
Balboa Seawalls
Opt 1: Waterside seawall replacement options: Least invasive and

expensive
Opt 2: Landside options: Greatest impact to properties, and Most

expensive

Presentation Title
100yr Incremental Approach

8
What and When to Include Climate Change?
When – Water levels are affected by freshwater inflow
What - Coupled Model Intercomparison Project phase 3 (CMIPS3)
16 different Global Climate Models (GCMs), 3 different CO2
emission scenarios and several different initial conditions for a
total of 112 different projections

Scenario Name
SRESa2 – gfdl

CO2 Increase
CO2 emissions continue to accelerate

Global Climate Model Used
National Oceanic and Atmospheric Administration
(NOAA) Geophysical Fluid Dynamics Laboratory (gfdl)

SRESb1 – gfdl

The rate of emissions growth moderates
and the emission rates themselves
eventually decrease

National Oceanic and Atmospheric Administration
(NOAA) Geophysical Fluid Dynamics Laboratory (gfdl)

SRESa2 – ncar

CO2 emissions continue to accelerate

Parallel Climate Model (pcm), by the National Center
for Atmospheric Research (ncar)

SRESb1 – ncar

The rate of emissions growth moderates
and the emission rates themselves
eventually decrease

Parallel Climate Model (pcm), by the National Center
for Atmospheric Research (ncar)
Assumption
The future change in frequency of a given current return
period event based on climate change model results will
produce the same change in frequency for existing current
return period

Example
100-year flood frequency from the 1951–2000 flood
frequency data has a 0.022 (45 year) flood frequency in the
year 2050 (2026–2075 flood frequency curve)
Combine SLR and Climate Change (Delta)
• Sea Level Rise in North Bay and Delta needs to be
adjusted from Ocean Value
• Hydraulic relationships, Hydrodynamic models

• Flows and Tides are Independent
• Flood occurs when storm and high
tides coincide
• Monte Carlo
Change in Flood Frequency at Rio Vista
Effect of Climate Change and SLR

Increase in Water Level (feet)
Return Period
( years)

Excedance Probability

2050

2100

500

0.002

3.97

7.36

200

0.005

3.48

6.43

100

0.01

3.19

5.93

75

0.013

2.95

5.67

50

0.02

2.48

5.07

25

0.04

2.14

3.96

20

0.05

2.04

3.41

10

0.1

1.91

2.86

5

0.2

1.73

2.56

2

0.5

1.53

2.06

1.0

1.0

1.31

1.66
Questions???
Wave Runup

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Ccpca mineart

  • 1. Sea Level Rise Local Level Project Implementations CCPCA Conference San Jose State University October 11, 2013
  • 2. Projects Incorporating SLR • Sea Level Rise • Port of San Francisco – SLR adaptation • Port of Oakland – Levee raise • Balboa Island Seawalls • SLR and Climate Change • Infrastructure Improvements • Risk Analysis
  • 3. Sea Level Rise Adaptation Ports of San Francisco and Oakland • Sea Level Rise Analysis, • Coastal Inundation Study, • Locate vulnerable areas, and • Mitigation alternative analysis with recommendations
  • 4. Coastal Inundation • 100-year event • Existing • 2050, +15 inches • 2100, +55 inches • 110 years of tidal data • Ocean swell, wind waves and fresh water inflows not modified for climate change
  • 6. Adaptation • Port of Oakland raised levees +1 foot + foundation • Port of San Francisco identified existing and future sources of flooding
  • 7. Balboa Seawalls Opt 1: Waterside seawall replacement options: Least invasive and expensive Opt 2: Landside options: Greatest impact to properties, and Most expensive Presentation Title
  • 9. What and When to Include Climate Change? When – Water levels are affected by freshwater inflow What - Coupled Model Intercomparison Project phase 3 (CMIPS3) 16 different Global Climate Models (GCMs), 3 different CO2 emission scenarios and several different initial conditions for a total of 112 different projections Scenario Name SRESa2 – gfdl CO2 Increase CO2 emissions continue to accelerate Global Climate Model Used National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory (gfdl) SRESb1 – gfdl The rate of emissions growth moderates and the emission rates themselves eventually decrease National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory (gfdl) SRESa2 – ncar CO2 emissions continue to accelerate Parallel Climate Model (pcm), by the National Center for Atmospheric Research (ncar) SRESb1 – ncar The rate of emissions growth moderates and the emission rates themselves eventually decrease Parallel Climate Model (pcm), by the National Center for Atmospheric Research (ncar)
  • 10. Assumption The future change in frequency of a given current return period event based on climate change model results will produce the same change in frequency for existing current return period Example 100-year flood frequency from the 1951–2000 flood frequency data has a 0.022 (45 year) flood frequency in the year 2050 (2026–2075 flood frequency curve)
  • 11. Combine SLR and Climate Change (Delta) • Sea Level Rise in North Bay and Delta needs to be adjusted from Ocean Value • Hydraulic relationships, Hydrodynamic models • Flows and Tides are Independent • Flood occurs when storm and high tides coincide • Monte Carlo
  • 12. Change in Flood Frequency at Rio Vista
  • 13. Effect of Climate Change and SLR Increase in Water Level (feet) Return Period ( years) Excedance Probability 2050 2100 500 0.002 3.97 7.36 200 0.005 3.48 6.43 100 0.01 3.19 5.93 75 0.013 2.95 5.67 50 0.02 2.48 5.07 25 0.04 2.14 3.96 20 0.05 2.04 3.41 10 0.1 1.91 2.86 5 0.2 1.73 2.56 2 0.5 1.53 2.06 1.0 1.0 1.31 1.66