Presentation by Bobby Russell (Deltares) at the Symposium Models and decision-making in the wake of climate uncertainties, during the Deltares Software Days - Kampala 2023 (DSD-Kampala 2023). Wednesday, 4 October 2023, Kampala, Uganda.
2. A ‘Model’ is a simplified conceptual representation
of part of the hydrological cycle.
Leads to two important questions:
1. What question do you want to answer with the model?
2. What does the end-user want to do with the model or model results?
3. The Msimbazi River story
Supporting investment planning in Dar es Salaam, Tanzania
4. Msimbazi River
4
• Severe floods in 2009, 2010, 2011, 2014,
2015, 2017 and 2018.
• Very disruptive to transportation and
threat to life.
• Threat to recent and future urban
infrastructure investments.
Government of Tanzania and the World Bank
had two questions:
1. What is causing/exacerbating the
flooding?
2. What can we do about it?
All Photos: Chris Morgan World Bank
7. Flooding in the Msimbazi
River
7
• Runoff + sediment from upper catchment
/ Peri-urban area.
• Solidwaste in the channels
• Reduced/insufficient conveyance capacity
of channel and bridges in middle and
lower Msimbazi.
• Sedimentation in the lower Msimbazi
reducing drainage to sea.
• Encroachment on the flood plain
increasing exposure to flooding impacts.
8. Msimbazi River
8
• Hydrological
Model
• Simple 1D2D
modelling
• Unvalidated flood
maps.
1. Problem
Analysis
• Improved
Hydrological
Model
• Improved 1D2D
modelling
• Validated flood
maps.
2. Problem
Analysis • Stakeholder
planning
• Identify solutions.
• Test solutions.
• Evaluate the
solutions.
3. Testing
possible solutions
• Detailed hydraulic
and morphology
model.
• Eng. design + Cost
estimate.
• EIA + RAP
4. Feasibility
Study
5. Construction
10 year process
“Pre-feasibility” “Feasibility” “Implementation”
WB invests heavily in
data collection
WB + GIZ
commission
studies.
WB + GoT
commissions
FS and DD.
World Bank + GoT
agree loan deal.
9. 9
Lower Msimbazi Upgrade Project
World Bank loan for
redesign and
construction of new
elevated bridges, new
housing, improved
drainage and urban park.
Now reaching
construction phase.
10 years of planning,
consultations, designs
and modelling.
Collaboration of:
• CDR International
• VE-R
• Deltares
https://documents1.worldbank.org/curated/en/842751555397752385/pdf/Executive-Summary.pdf
11. Many tools enable visualization of
climate risks, but there is a need
for a tool to evaluate solutions
• How does the system respond to
measures?
• What are the most cost effective
measures?
11
19. Hazard model: SFINCS
Super-Fast INundation of CoastS
19
• Reduced complexity model to compute
compound flooding
• Subgrid approach for high-resolution with speed
• Run time (on i5 laptop) for 6-day simulation: 15
seconds! => potential to assess uncertainties and
risks
20. Damage model: Delft-FIAT
Flood Impact Assessment Tool
20
Session D9: International Session on Flood Modeling
(tomorrow, May 10 - 10:30AM-noon)
A Fast and Flexible Framework for Flood Damage Assessments
23. Before measure After measure
Elevated homes
means flooding is
not causing
damage
Flooded roads
will isolate this
neighborhood
Damages
Flooded roads
will isolate this
neighborhood
26. 26
Mainstream approach to climate risk assessment:
Predict-then-act
GHG Emission Scenarios
General Circulation
Models (GCMs)
Simulated
impacts
What can happen under climate projections?
Hydrology/system models
27. 28
1. Generate many weather series to
explore natural variability & climate
change (weather generator)
2. Simulate hydrological response to
those weather conditions (wflow)
3. Reveal conditions leading
vulnerabilities – conditions causing
problems based on critical thresholds
4. Assess the plausibility of
vulnerabilities using climate-
information
Weather
Generator
1
Climate stress testing:
28. 29
1. Generate many weather series to
explore natural variability & climate
change (weather generator)
2. Simulate catchment hydrological
response to those weather conditions
(wflow)
3. Reveal conditions leading
vulnerabilities – conditions causing
problems based on critical thresholds
4. Assess the plausibility of
vulnerabilities using climate-
information
Weather
Generator
Hydrological model
(wflow)
1
2
Climate stress testing:
29. 30
1. Generate many weather series to
explore natural variability & climate
change (weather generator)
2. Simulate hydrological response to
those weather conditions (wflow)
3. Reveal conditions leading to
vulnerabilities – conditions causing
problems based on critical thresholds
4. Assess the plausibility of
vulnerabilities using climate-
information
Weather
Generator
Hydrological model
(wflow)
1
2
3
Climate
response
surface
Climate stress testing:
30. 31
1. Generate many weather series to
explore natural variability & climate
change (weather generator)
2. Simulate hydrological response to
those weather conditions (wflow)
3. Reveal conditions leading
vulnerabilities – conditions causing
problems based on critical thresholds
4. Assess climate-informed risks using
GCM projections (or other information)
Weather
Generator
Hydro model
(wflow)
1
2
3
Climate
response
surface
Gcm
Projections
Climate stress testing:
4
+