GreenPlan-IT: Supporting RAA in the Bay Area · PDF fileGreenPlan-IT: Supporting RAA in the...
Transcript of GreenPlan-IT: Supporting RAA in the Bay Area · PDF fileGreenPlan-IT: Supporting RAA in the...
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GreenPlanGreenPlanGreenPlanGreenPlan----IT: Supporting RAAIT: Supporting RAAIT: Supporting RAAIT: Supporting RAAin the Bay Areain the Bay Areain the Bay Areain the Bay Area
Lester McKee, Jing Wu, Pete Kauhanen, Jennifer Hunt, and Tony HaleSan Francisco Estuary Institute
Integrating Reasonable Assurance Analysis and Stormwater/Green Infrastructure Plans
Water Board, Room 1 (2nd floor) September 23, 9am – 4 pm
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San Francisco Estuary Partnership(SFEP)
Jennifer Krebs
Josh Bradt
Watearth Jennifer Walker
City Partners San Mateo
San Jose
GreenPlanGreenPlanGreenPlanGreenPlan----IT Funding and TeamIT Funding and TeamIT Funding and TeamIT Funding and TeamSan Francisco Estuary Institute (SFEI)
Jing Wu Pete Kauhanen Jen Hunt Lester McKee Dave Senn Tony Hale
Technical advisorsMatt FabryJill BicknellPeter Schultze-AllenDino MarshalonisKeith Lichten
Prop 84 State Board Funding
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GreenPlanGreenPlanGreenPlanGreenPlan----IT Answers Key QuestionsIT Answers Key QuestionsIT Answers Key QuestionsIT Answers Key Questions
Where could green infrastructure be used to reduceflows and pollutant loads?
What are the most cost-effective locations?
What flow and load reductions could we expect tosee over decades as green infrastructure isimplemented?
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So why chooseSo why chooseSo why chooseSo why choose GreenPlanGreenPlanGreenPlanGreenPlan----IT?IT?IT?IT? GreenPlan-IT is flexible in three key ways:
It comes packaged with regional Bay Area base layers The tool is modular It is spatially flexible
GreenPlan-IT is rigorous but can and will evolve Science advisors Decades of combined experience
GreenPlan-IT is free for download and use. Consultants and line staff can deploy the tool on their own
(without SFEI!)
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Five Easy Steps!Five Easy Steps!Five Easy Steps!Five Easy Steps!
3. Simulatebaseline
conditions
1. Determinetypes of GI of
interest
4. Determineeffective GI
buildout scenarios
Completewatershed
master plan
5. Identifypriority
locations
2. Identifyfeasible locationsfor potential GIimplementation
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Step 1: Determine types of GreenStep 1: Determine types of GreenStep 1: Determine types of GreenStep 1: Determine types of GreenInfrastructure of InterestInfrastructure of InterestInfrastructure of InterestInfrastructure of Interest
Infiltration Trench Bioretention Permeable Pavement
Vegetated Swale Storm Water Wetland Wet Pond
Example: bioretention
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Step 2Step 2Step 2Step 2: Identify feasible locations: Identify feasible locations: Identify feasible locations: Identify feasible locationsfor potential GIfor potential GIfor potential GIfor potential GI implementationimplementationimplementationimplementation
Local andregional GIS
data
Identify locations for GICustom ranking
OwnershipKnockout unsuitable areas
Site Locator Tool Private andpublicranked
locationmaps
OptimizationTool
boundarycondition
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Outputs = Maps and TablesOutputs = Maps and TablesOutputs = Maps and TablesOutputs = Maps and Tables
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Viewable in Google EarthViewable in Google EarthViewable in Google EarthViewable in Google Earth
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EPA’s SWMM model
Establish baseline condition
Identify critical pollutantsource areas
Quantify flow reduction fromvarious GI scenarios
Step 3:Step 3:Step 3:Step 3: ModelModelModelModel CurrentCurrentCurrentCurrent ConditionConditionConditionCondition
Hydrologic Module
Pollutant Module (POCs)
Green InfrastructureModule
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Watershed characteristics
Meteorological data
Boundary condition
Calibration Data
What goes into the Model?What goes into the Model?What goes into the Model?What goes into the Model?
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Model Calibration for GuadalupeModel Calibration for GuadalupeModel Calibration for GuadalupeModel Calibration for GuadalupeRiver at Hwy 101 in San JoseRiver at Hwy 101 in San JoseRiver at Hwy 101 in San JoseRiver at Hwy 101 in San Jose
Excellent calibration for both flow timing and magnitude
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What comes out of the model?What comes out of the model?What comes out of the model?What comes out of the model?
ID critical runoff &pollutant source areas
Set stage for GreenInfrastructure cost-performanceoptimization
Ready for ReasonableAssurance Analysis Excellent spatial
calibration (3-4 foldvariability)
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Thousands of PossibleSites….
But what are the mostcost-effective GreenInfrastructurecombinations?
…and at what price?
Step 4:Step 4:Step 4:Step 4: DetermineDetermineDetermineDetermine optimal Greenoptimal Greenoptimal Greenoptimal GreenInfrastructureInfrastructureInfrastructureInfrastructure SolutionsSolutionsSolutionsSolutions
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Management target Total runoff volume
pollutant load
Assessment point Outlet of focus area
Optimization Focus AreaOptimization Focus AreaOptimization Focus AreaOptimization Focus Area
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Green Infrastructure Attributes Green Infrastructure area Soil porosity Water filtration rate etc.
Green Infrastructure Costs Design Construction Operation & Maintenance
What goes into the OptimizationWhat goes into the OptimizationWhat goes into the OptimizationWhat goes into the OptimizationTool?Tool?Tool?Tool?
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Model the DesignModel the DesignModel the DesignModel the Design StormStormStormStorm2 year2 year2 year2 year ---- 24 hour24 hour24 hour24 hour
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What is the relative cost toWhat is the relative cost toWhat is the relative cost toWhat is the relative cost toimplement Green Infrastructure?implement Green Infrastructure?implement Green Infrastructure?implement Green Infrastructure?
Cost (Million $)Flow
orlo
adre
duct
ion
(%ba
selin
e)
Most cost efficient
Least costefficient
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44% peak flow reduction
44% peak flow reduction 5.5 million gals of additional recharge
Programmatic Outcomes!Programmatic Outcomes!Programmatic Outcomes!Programmatic Outcomes!
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Step 5:Step 5:Step 5:Step 5: IdentifyIdentifyIdentifyIdentify prioritypriorityprioritypriority locationslocationslocationslocations“Putting the pieces together”“Putting the pieces together”“Putting the pieces together”“Putting the pieces together”
Overlay optimization andsite ranking output
Combine with otherinformation Private partnerships or
funding opportunities Community needs Existing flooding or pollution
sources Infrastructure age and
condition Capital improvement plans
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LID tracker:LID tracker:LID tracker:LID tracker: PlannedPlannedPlannedPlanned and Prospectiveand Prospectiveand Prospectiveand ProspectiveWorkWorkWorkWork
LID tracker GIS Databasepiloted with one partnercity
Creation of data entryforms
Interactive map forplacement and display ofLID locations
Basic LID effectivenessreports
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http://greenplanit.sfei.org/
Toolkit User manual Toolkit requirements Demonstration report
Toolkit Download & DocumentationToolkit Download & DocumentationToolkit Download & DocumentationToolkit Download & Documentation
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Questions?Questions?Questions?Questions?
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Reasonable AssuranceAnalysis for Green
Infrastructure PlanningMatthew Fabry, PE
San Mateo Countywide WaterPollution Prevention Program
September 23, 2015
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Issues to Consider Integration and timing with Stormwater
Resource Plans Scale• GI plans at local level• Load reduction at regional/county level• What scale to identify and prioritize projects• Tension between local plans, long-term
“greening,” and cost-effective load reduction Assumptions are critical• Results can have significant financial
implications
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Issues to Consider Public vs Private• How do we consistently estimate future
new/redevelopment• Need to model private for load reduction,
but doesn’t seem like we need to ID sites Data• Just using available data or figuring out
what is really useful and generating it How do the outputs really help
municipal planning?
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Green Streets Need agreement on treatment sizing Consider streets as units, intersection to
intersection, split on centerline Catch basins as nodes, map tributary area
within street units Identify required treatment per unit Optimize based on combinations of units Link to pavement maintenance programs Underdrain questions Tracking more meaningful if done by street
segment
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Example
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Example
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Example
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Example
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Example
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Example
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Things to Consider