DSD-INT 2025 Quantifying Flood Mitigation Strategies Under Sea Level Rise - Hard, Soft, and Hybrid Approaches for San Francisco Bay - Nederhoff
Presentation by Kees Nederhoff (Deltares USA, USA) at the Delft3D User Days, during the Delft Software Days - Edition 2025 (DSD-INT 2025). Wednesday, 12 November 2025, Delft.
Similar to DSD-INT 2025 Quantifying Flood Mitigation Strategies Under Sea Level Rise - Hard, Soft, and Hybrid Approaches for San Francisco Bay - Nederhoff
DSD-INT 2025 Quantifying Flood Mitigation Strategies Under Sea Level Rise - Hard, Soft, and Hybrid Approaches for San Francisco Bay - Nederhoff
1.
Kees Nederhoff1, RohinSaleh², Patrick Barnard³, Mark Stacey⁴, Stendert Laan1
¹Deltares USA, ²Aquaflows, ³ University of California, Santa Cruz, ⁴University of
California, Berkeley
November 12, 2025
Quantifying Flood Mitigation
Strategies Under Sea Level
Rise: Hard, Soft, and Hybrid
Approaches for San
Francisco Bay
2.
Rising Risk: TheVulnerable Estuary
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
2
San Francisco Bay Under Pressure: the Bay Area faces a perfect storm
• Sea level projected to rise 0.5-2 meter by 2100 (CA SLR Guidance 2024)
• Intensifying atmospheric river events (Wang et al., 2023)
• $150 billion in property at risk by 2100 (Barnard et al., 2019)
• Critical infrastructure vulnerability (airports, highways)
• Environmental justice concerns in low-lying communities
3.
Research Question
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
3
How doshoreline hardening, wetland restoration, and
floodgates affect flood hazards under sea level rise??
Shoreline Hardening
Traditional "gray"
infrastructure protecting
urban edges with levees,
seawalls, and riprap
Wetland Restoration
Nature-based solutions
restoring tidal marshes
to absorb wave energy
and store water
Strategic Floodgates
Engineered barriers that
close during extreme events
to prevent inland flooding
4.
Modeling Framework: Delft3DBay-Delta Community Model
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
4
• Use the open-source & open-access Delft3D San
Francisco Bay Community Model platform but add
a model focused on extreme water levels and SLR
• Delft3D modelling of San Francisco Bay-Delta goes
back to 2006 as part of USGS science collaboration
that goes back to ~2000.
• Delft3D is open-source and trusted by 38,000+
members worldwide from academia to consultancy
• CASCaDE: Computational Assessments of
Scenarios of Change for the Delta Ecosystem
− Impact of climate change scenarios on San Francisco
Bay-Delta eco-system (water quality, eco-systems, etc)
− Funding: 8 MUSD funded by CalFed and USGS (2011-
2016)
5.
Community modeling website:2014-onwards
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
5
• Community model: http://www.d3d-baydelta.org/
• The community model concept creates a standard
model setup for everyone in which models and
software are available free of charge.
Research
Consultancy
Networking
6.
Next generation ofthe Community Model: SFBD-SWL
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
6
• Open-source Delft3D and open-access
model setup. Available via www.d3d-
baydelta.org
• Include relevant engineering-scale features
included and scientifically peer-reviewed
paper in Nederhoff et al. (2021). Used
operationally for forecasting of high-water
levels by NOAA and USGS as part of the
AQPI project
• Model domain covers SF Bay and Delta and
can thus be used for regional studies
• 1D-2D hydrodynamic model with subgrid
features for efficient and accurate model
simulations (RMSE < 10 cm)
• Used for reanalysis by Deltares USA and
Alameda FCD to perform 70-years of
continuous simulation for a robust estimate of
extreme values and return periods statistics
7.
What is availableon the Community Website?
www.d3d-baydelta.org
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
7
1. Download the Model: grid, boundary conditions, and
wind forcing for WY1941-2024.
2. Download processed model results: processed
model results for 1244 points across the SF Bay for
WY1941 - WY2024 for those wishing to access the
data without running the SWL Model (for using data
without running model)
3. Download extreme, still, and total water level data:
includes shapefiles and analysis results for extreme,
still, and total water level across the SF Bay.
Third parties can run, amend, copy, and distribute this SFBD-SWL and other SFBD Community Models under a
Creative Commons Attribution-Share Alike 4.0 International License
8.
Tidal Dynamics Todayand Sea Level Rise Effects
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
8
• M2 tide grows deeper inside estuary → this tidal amplification drives extremes
• With SLR → tidal amplification decreases → slower-than-expected rise in extremes (damping)
9.
With SLR, 100-yearextremes in the Bay increases
less than proportional relative to SLR (1/3)
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
9
• Extreme vary in SF Bay and are
typically higher in South and
North Bay than near SF
10.
With SLR, 100-yearextremes in the Bay increases
less than proportional relative to SLR (2/3)
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
10
• Extreme vary in SF Bay and are
typically higher in South and
North Bay than near SF
• With SLR, daily, annual and
100-year water levels are
increasing.
11.
With SLR, 100-yearextremes in the Bay increases
less than proportional relative to SLR (3/3)
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
11
• Extreme vary in SF Bay and are
typically higher in South and
North Bay than near SF
• With SLR, daily, annual and
100-year water levels are
increasing.
• However, in contrast to other
work, increase is less than SLR
due to reduction tidal
amplification
12.
Extreme Water Levels
changesin 10-yr water levels as function of SLR
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
12
- Absolute water levels rise with SLR, but relative increases are damped due to tidal dynamics
- Regional variability: South Bay & Suisun Bay most affected (relative reduction >1 ft)
13.
Adaptation Scenarios Tested
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
13
1.Wetland Restoration
• 740 potential restoration sites identified
• Based on Baylands Ecosystem Habitat Goals
3. Hybrid Approach
• Combination of strategic hardening with
restoration
2. Shoreline Hardening
• Levees positioned at the urban edge
• Represents traditional engineering approach
• Modeled as non-erodible barriers
4. Strategic Floodgates
• Four locations tested: Mill Valley, Dumbarton,
Napa, San Leandro Bay
• Modeled as closable barriers during extreme
events
• Various operation scenarios for closures
14.
How do theextremes change?
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
14
Hummel and Stacy (2021) found negative effects of ~ 20inch (50 cm)
=> this work (Nederhoff et al., 2025) suggests <20 cm (or <8 inches)
4.9 ft of SLR
wl [ft NAVD88]
15.
Extreme water levelsduring this event reach ~9.5
ft+NAVD88. Subregional barrier can reduce water
levels when, for example, closing at 8 ft + NAVD88
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
15
16.
The reduction ofthe extreme water levels depend on
when the subregional barrier is closed. The lower the
threshold the lower the extreme water level
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
16
17.
Subregional barrier workswell for 3 ft SLR (1m) &
reduces extremes in San Leandro Bay from ~12.5 to
~9.5 ft when closing at 9 ft with limited negative effects
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
17
18.
Combination of resultsfor closure at 8.5ft
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
18
SLR
0.0 ft
0 cm
0.5 ft
15 cm
1.0 ft
30 cm
1.5 ft
45 cm
2.0 ft
60 cm
2.5 ft
75 cm
3.0 ft
90 cm
How often [#] 1.17 6.61 31.16 85.94 175.69 268.05 319.56
How long per year [hr] 1.7 9.3 49.3 163.1 410.7 827.3 1406.0
Average closure [hr] 1.43 1.41 1.58 1.90 2.34 3.09 4.40
19.
Key Takeaways
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
19
1. Floodextremes rise slower than sea level
• Due to natural tidal damping, we have slightly
more time to adapt than previously thought.
However, this doesn't eliminate the urgent
need for action.
2. Wetland restoration offers strongest benefits
• Nature-based solutions reduce flood levels
while providing ecological, carbon, and
recreational benefits. Priority should be given to
South Bay and Suisun Bay restoration.
3. Avoid shoreline hardening in isolation
• Traditional levees and seawalls exacerbate
regional flooding and should only be
implemented in conjunction with wetland
buffers whenever possible.
4. No single strategy is sufficient
• Beyond 1m or 3ft SLR, local measures become
inadequate. Regional strategies and managed
retreat from highest-risk areas will be
necessary components of long-term
adaptation.
20.
Thank You &Stay Connected
Quantifying
Flood
Mitigation
Strategies
for
SLR
in
San
Francisco
Bay
20
Kees Nederhoff, PhD
Coastal Scientist, Deltares USA
Email: Kees.Nederhoff@deltares-usa.us
Website: www.d3d-baydelta.org
• Nederhoff et al. (2025). Mitigating Flood Risks
in Urban Estuaries: Tidal Dynamics, Shoreline
Hardening, Nature-Based Solutions, and
Floodgates in San Francisco Bay
• Journal of Waterway, Port, Coastal, and Ocean