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Andrew Warren
Delft Software Days (DSD-INT 2023)
Climate Adaptation Symposium
Wednesday, 28 November 2023
Dynamic Adaptive Policy Pathways
Theory & Showcase
How best to plan for SLR?
2
Protect or nourish? Accommodate or advance? Nature based solution or retreat?
What to choose
where and when?
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
2
How to plan for future WASH resilience?
Ecosystem protection
IWRM
Protection / relocation
vulnerable assets
Systems decentralization? Systems redundancy? Systems diversification?
3
What to choose
where and when?
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
How much to adapt?
4
Source: IPCC – SROCCC (2019)
Projected Changes in Extreme
Precipitation & Drought Frequency
Projected Sea Level Rise
DSD-INT
2023
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Climate
Adaptation
Symposium
2023
Under deep uncertainty decision makers
should aim for robust plans that can be
adapted over time
5
DSD-INT
2023
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Climate
Adaptation
Symposium
2023
4. Develop and evaluate adaptation pathways
3. Identify actions and assess ATP/OTP conditions and timing
1. Describe system, objectives, uncertainties
5. Design adaptive plan: short-term actions, long-term options
and adaptation signals
Reassess
Actions
Reassess
2. Assess impacts of uncertainties/ identify opportunities:
adaptation/opportunity tipping points (ATP/OTP)
6. Implement the plan
7. Monitor: ATP approaching? Actions or reassessment?
6
Adapted from Haasnoot et al. (2013). 10.1016/j.gloenvcha.2012.12.006
Dynamic Adaptive Policy Pathways (DAPP) approach
Vulnerability assessment:
• Under what conditions does the system perform
unacceptably?
• What are unacceptable outcome thresholds?
Not easy to answer in detail – especially without a model
“From the past we know we can cope with….”
Methods:
• Narrative assessment
• Expert judgement
• Model-based assessment
(sensitivity analysis, stress testing)
• Scenarios used to assess timing of ATP/OTP
Adaptation tipping points (ATP)
7
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
Adaptation Pathways Map
• Maps show different possible sequences of decisions to achieve objectives
• Scorecard helps to evaluate the pathways and decisions
8
Haasnoot et al. (2013). 10.1016/j.gloenvcha.2012.12.006
Large Reservoir
Small Reservoir
Demand Management
Desalination
Minimizing ‘regret’ or maladaptation
9
Transfer costs
Stranded Assets Under-performance
Lock-ins
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
Phased approach to DAPP
Level III: Full assessment of pathways
Requirements
for further analysis
and/or modelling
Narratives
Level II: Quantitative design of pathways
Level I: Initial qualitative pathways - narratives
11
• Initial quantitative study using available information/existing models
• Quantitative scenario development and vulnerability assessment
• ATP/OTP quantification → Pathways generator
-
5
10
15
20
25
30
0
0,5
1
1,5
2
2,5
M0
M1
M3(6)
12
Level II: Quantitative design of pathways
• More extensive quantitative assessment using specialised tools for integrated
assessment, e.g. exploratory models / metamodels
• Model-assisted pathways development
• Intersection with other DMDU methods/tools:
→ Robust Decision Making (Lempert et al, 2013)
→ Decision Tree Framework (i.e. decision scaling) (Ray & Brown, 2015)
13
Level III: Full (computational) assessment of pathways
Examples
Australian water utility biosolids strategy
• Semi-
quantitative
assessment
• Computational
modelling to
determine
sludge volumes
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
15
San Francisco, CA
Project combining
decision-scaling and
adaptation pathways to
plan for the next 50 years
at San Francisco Water
Under what conditions will the Hetch Hetchy Regional Water System
no longer meet levels of service and when?
San Francisco, CA
Change in precipitation scenarios
for system stress testing
Inflow into main reservoir Demand deficit indicator
Exploratory Modelling
Under what conditions will the Hetch Hetchy Regional Water System
no longer meet levels of service and when?
Model characteristics:
• Fast: simple representations of system functionality to execute large number of runs
• Integrated: represents interrelated systems and processes (climate, hydrology, reservoirs,
demand)
• Fit-for-purpose: represents dominant processes and natural variability, together with relevant
outcome indicators for decision making, without unnecessary detail
Vitens (NL): Improving DWI Resilience
19
Supply risks Demand risks Network risks
• Climate change
• Source pollution
• Production site failure
• Increased competition for
resources (inc. environment)
• Demand growth/decline
• Demand spikes
• Independent abstractions
• New technologies
• Heterogenous network
arrangements
• Network connections
• Pipeline failures
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
Long-term planning toolkit for resilient DWI
20
Resources
Component
Demand
Component
Distribution
Network
Component
Climate conditions (T, E)
Economic growth
Water price
Technological development
Population change
Uncertainties
Service: reliability, robustness,
capacity usage
Capital Costs: Production plant
+ Network pipe cost
Strategic performance
metrics
Water quality/pollution
Supply capacity expansion
Network organization
Interventions
Demand management
Service disruption
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
21
22
DSD-INT
2023
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Climate
Adaptation
Symposium
2023
23
Adaptation pathways
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
24
MYRIAD-EU
Developing forward-looking DRM pathways
• How to account for multiple hazards across multiple
sectors including all interdependencies and
interactions?
• Moving from DAPP to DAPP-MR
DSD-INT
2023
|
Climate
Adaptation
Symposium
2023
25
Waas-MR model
• Simulating 100 years, 10 day
timesteps
• Deep uncertainties: 3 climate
scenarios + 10 realizations for
climate variability
• On a “normal” Laptop: ~1.2 sec
per 100 year run
Key process – example flooding
Results – Stage 2
Pathways have some
(light) synergistic effect
on drought objectives
Questions?
www.deltares.nl | pathways.deltares.nl
andrew.warren@deltares.nl

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DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Warren

  • 1. Andrew Warren Delft Software Days (DSD-INT 2023) Climate Adaptation Symposium Wednesday, 28 November 2023 Dynamic Adaptive Policy Pathways Theory & Showcase
  • 2. How best to plan for SLR? 2 Protect or nourish? Accommodate or advance? Nature based solution or retreat? What to choose where and when? DSD-INT 2023 | Climate Adaptation Symposium 2023 2
  • 3. How to plan for future WASH resilience? Ecosystem protection IWRM Protection / relocation vulnerable assets Systems decentralization? Systems redundancy? Systems diversification? 3 What to choose where and when? DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 4. How much to adapt? 4 Source: IPCC – SROCCC (2019) Projected Changes in Extreme Precipitation & Drought Frequency Projected Sea Level Rise DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 5. Under deep uncertainty decision makers should aim for robust plans that can be adapted over time 5 DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 6. 4. Develop and evaluate adaptation pathways 3. Identify actions and assess ATP/OTP conditions and timing 1. Describe system, objectives, uncertainties 5. Design adaptive plan: short-term actions, long-term options and adaptation signals Reassess Actions Reassess 2. Assess impacts of uncertainties/ identify opportunities: adaptation/opportunity tipping points (ATP/OTP) 6. Implement the plan 7. Monitor: ATP approaching? Actions or reassessment? 6 Adapted from Haasnoot et al. (2013). 10.1016/j.gloenvcha.2012.12.006 Dynamic Adaptive Policy Pathways (DAPP) approach
  • 7. Vulnerability assessment: • Under what conditions does the system perform unacceptably? • What are unacceptable outcome thresholds? Not easy to answer in detail – especially without a model “From the past we know we can cope with….” Methods: • Narrative assessment • Expert judgement • Model-based assessment (sensitivity analysis, stress testing) • Scenarios used to assess timing of ATP/OTP Adaptation tipping points (ATP) 7 DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 8. Adaptation Pathways Map • Maps show different possible sequences of decisions to achieve objectives • Scorecard helps to evaluate the pathways and decisions 8 Haasnoot et al. (2013). 10.1016/j.gloenvcha.2012.12.006 Large Reservoir Small Reservoir Demand Management Desalination
  • 9. Minimizing ‘regret’ or maladaptation 9 Transfer costs Stranded Assets Under-performance Lock-ins DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 10. Phased approach to DAPP Level III: Full assessment of pathways Requirements for further analysis and/or modelling Narratives Level II: Quantitative design of pathways Level I: Initial qualitative pathways - narratives 11
  • 11. • Initial quantitative study using available information/existing models • Quantitative scenario development and vulnerability assessment • ATP/OTP quantification → Pathways generator - 5 10 15 20 25 30 0 0,5 1 1,5 2 2,5 M0 M1 M3(6) 12 Level II: Quantitative design of pathways
  • 12. • More extensive quantitative assessment using specialised tools for integrated assessment, e.g. exploratory models / metamodels • Model-assisted pathways development • Intersection with other DMDU methods/tools: → Robust Decision Making (Lempert et al, 2013) → Decision Tree Framework (i.e. decision scaling) (Ray & Brown, 2015) 13 Level III: Full (computational) assessment of pathways
  • 14. Australian water utility biosolids strategy • Semi- quantitative assessment • Computational modelling to determine sludge volumes DSD-INT 2023 | Climate Adaptation Symposium 2023 15
  • 15. San Francisco, CA Project combining decision-scaling and adaptation pathways to plan for the next 50 years at San Francisco Water Under what conditions will the Hetch Hetchy Regional Water System no longer meet levels of service and when?
  • 16. San Francisco, CA Change in precipitation scenarios for system stress testing Inflow into main reservoir Demand deficit indicator Exploratory Modelling Under what conditions will the Hetch Hetchy Regional Water System no longer meet levels of service and when? Model characteristics: • Fast: simple representations of system functionality to execute large number of runs • Integrated: represents interrelated systems and processes (climate, hydrology, reservoirs, demand) • Fit-for-purpose: represents dominant processes and natural variability, together with relevant outcome indicators for decision making, without unnecessary detail
  • 17. Vitens (NL): Improving DWI Resilience 19 Supply risks Demand risks Network risks • Climate change • Source pollution • Production site failure • Increased competition for resources (inc. environment) • Demand growth/decline • Demand spikes • Independent abstractions • New technologies • Heterogenous network arrangements • Network connections • Pipeline failures DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 18. Long-term planning toolkit for resilient DWI 20 Resources Component Demand Component Distribution Network Component Climate conditions (T, E) Economic growth Water price Technological development Population change Uncertainties Service: reliability, robustness, capacity usage Capital Costs: Production plant + Network pipe cost Strategic performance metrics Water quality/pollution Supply capacity expansion Network organization Interventions Demand management Service disruption DSD-INT 2023 | Climate Adaptation Symposium 2023
  • 19. 21
  • 21. 23
  • 23. MYRIAD-EU Developing forward-looking DRM pathways • How to account for multiple hazards across multiple sectors including all interdependencies and interactions? • Moving from DAPP to DAPP-MR DSD-INT 2023 | Climate Adaptation Symposium 2023 25
  • 24. Waas-MR model • Simulating 100 years, 10 day timesteps • Deep uncertainties: 3 climate scenarios + 10 realizations for climate variability • On a “normal” Laptop: ~1.2 sec per 100 year run
  • 25. Key process – example flooding
  • 26. Results – Stage 2 Pathways have some (light) synergistic effect on drought objectives