Interactive Analytics for Urban Water Supply Planning in 2025
Explore how adaptive infrastructure pathways and multiobjective optimization can enhance urban water supply planning in 2025. Tailor infrastructure to navigate uncertainty, balance conflicting objectives, and develop robust solutions for sustainable water management.
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Presentation Transcript
1-5-2025 An interactive visual analytic system to support dynamic and adaptive infrastructure pathways for urban water supply planning Ziv Hochman1, Angelos Chatzimparmpas1, David Gold2* 1: Department of Computational and Computer Sciences, Utrecht University 2: Department of Physical Geography, Utrecht University *Presenting Author
Adaptive infrastructure pathways can help decision makers navigate deep uncertainty Pathway policies are parameterized using risk-based rule systems https://www.macconstruction.com/projects- archive/carrolton-waste-water-treatment-plant/ https://www.pipeline-journal.net/news/major-water-pipeline- infrastructure-project-commence-uk Option A Option B Option D Infrastructure Available Option C Baseline Time Inf. Intensity High Med Low Frequency of construction Less More
Adaptive infrastructure pathways can help decision makers navigate deep uncertainty Pathway policies are parameterized using risk-based rule systems Tailor infrastructure sequences to observed states of the world https://www.macconstruction.com/projects- archive/carrolton-waste-water-treatment-plant/ https://www.pipeline-journal.net/news/major-water-pipeline- infrastructure-project-commence-uk Option A Option B Option D Infrastructure Available Option C Baseline Time Inf. Intensity High Med Low Frequency of construction Less More
Adaptive infrastructure pathways can help decision makers navigate deep uncertainty Pathway policies are parameterized using risk-based rule systems Tailor infrastructure sequences to observed states of the world https://www.macconstruction.com/projects- archive/carrolton-waste-water-treatment-plant/ https://www.pipeline-journal.net/news/major-water-pipeline- infrastructure-project-commence-uk Increase reliability while minimizing stranded assets Option A Option B Option D Infrastructure Available Option C Baseline Time Inf. Intensity High Med Low Frequency of construction Less More
Multiobjective optimization allows planners to explore trade-offs Generate a set of non-dominated policy alternatives that balance conflicting objectives
Multiobjective optimization allows planners to explore trade-offs Generate a set of non-dominated policy alternatives that balance conflicting objectives Develop robust solutions that maintain performance across a wide range of plausible futures
Multiobjective optimization allows planners to explore trade-offs Generate a set of non-dominated policy alternatives that balance conflicting objectives Develop robust solutions that maintain performance across a wide range of plausible futures Allow decision-makers to explore preferences and discover compromise alternatives
Adaptive infrastructure pathway formulations bring new challenges Large number of potential infrastructure sequences for each policy Policy 1 Policy 2 Policy 3 Policy 4
Adaptive infrastructure pathway formulations bring new challenges Large number of potential infrastructure sequences for each policy Policy 1 Policy 2 Policy 3 Policy 4 Relationship between infrastructure options and performance outcomes is often complex
Adaptive infrastructure pathway formulations bring new challenges Large number of potential infrastructure sequences for each policy Policy 1 Policy 2 Policy 3 Policy 4 Relationship between infrastructure options and performance outcomes is often complex High volumes of data regarding decision variables, performance, and vulnerability can be overwhelming
Interactive visual analytics can help us explore candidate alternatives Interactive dashboard of linked visualizations connects the decision space and objective space Set stream visualization provides a simple, efficient, and interactive means of visualizing pathways Users can identify decision lock-ins, critical tipping points, and trade-offs between infrastructure actions
Interactive visual analytics can help us explore candidate alternatives Interactive dashboard of linked visualizations connects the decision space and objective space Set stream visualization provides a simple, efficient, and interactive means of visualizing pathways Users can identify decision lock-ins, critical tipping points, and trade-offs between infrastructure actions
Interactive visual analytics can help us explore candidate alternatives Interactive dashboard of linked visualizations connects the decision space and objective space Set stream visualization provides a simple, efficient, and interactive means of visualizing pathways Users can identify decision lock-ins, critical tipping points, and trade-offs between infrastructure actions
1-5-2025 Thanks!
Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time 15
Expected future conditions Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time 16
Challenging future conditions Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time 17
Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time Mild future conditions (no investment) 18
How do pathways respond to an ensemble of future states of the world? Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time 5/4/2025 19
Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time Frequency of construction More Less 20
Frequency across 1,000 future scenarios Infrastructure Option 1 Infrastructure Available Infrastructure Option 2 Infrastructure Option 3 Infrastructure Option 4 Baseline Time Frequency of construction More Less 21
Infrastructure Priorities INF RT TT RFC IT Decision threshold Long-term Risk Short-term Risk 20% Total utility storage 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Infrastructure Priorities INF RT TT RFC IT Decision threshold Long-term Risk Short-term Risk 20% 12 Short-term risk of failure 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Infrastructure Priorities INF RT TT RFC IT Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Drought mitigation Trigger Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Infrastructure Priorities INF 20% Long-term Risk 16% 12% RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Infrastructure Priorities INF 20% Long-term Risk 16% 12% Long-term risk of failure RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Infrastructure Priorities INF 20% Long-term Risk 16% 12% RT TT RFC IT Infrastructure Development Trigger 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Falls Lake Reallocation Infrastructure Pathway Richland Creek Infrastructure Little River Reservoir Priorities Baseline INF 20% Long-term Risk 16% 12% RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Falls Lake Reallocation Richland Creek Infrastructure Little River Reservoir Priorities Baseline INF 20% Long-term Risk 16% Rising demands drive increases in Long-term Risk 12% RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Falls Lake Reallocation Richland Creek Infrastructure Little River Reservoir Priorities Baseline INF New Infrastructure is triggered, construction initiated 20% Long-term Risk 16% 12% RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Falls Lake Reallocation Richland Creek Infrastructure Little River Reservoir Priorities Baseline INF 20% Long-term Risk 16% 12% RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
Falls Lake Reallocation Richland Creek Infrastructure Little River Reservoir Priorities Baseline INF 20% Long-term Risk 16% 12% RT TT RFC IT 8% 4% Decision threshold Long-term Risk Short-term Risk 20% 12 16% 12% Short-term Risk Storage (BG) Res. Storage 6 8% Constr. Period 4% 2035 2050 2065 2020
