TORMWATER MANAGEMENT USING CUSTOMIZED SCIENCE BASED · PDF fileSTORMWATER MANAGEMENT...
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STORMWATER MANAGEMENT DECISIONSwww.2nform.com
Nicole Beck, PhDGary Conley, MS
Donna Meyers, MS
STORMS Seminar SeriesJanuary 30 2017
STORMWATER MANAGEMENT USING CUSTOMIZED SCIENCE-BASED SOFTWARE
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• New Trajectory Toward Clean Water – Plan, Prioritize, Implement
• Stormwater Software P lanning, Tracking, R eporting Technical E lements
• P a c i f i c G r o v e A S B S C a s e S t u d y
• Q&A (C entral C oas t R egional B oard S taff and S tormwater Managers on the line)
Presentation Outline
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In 2014 estimated $1 - $1.5 billion (2025 > $1.5B ) annually on MS 4 permit compliance. (P ublic P olicy Ins titute of C A 2014).
C urrent C A s tormwater funding gap $500M- $800M annually.
Only 5% of recent water bonds s pent on s tormwater.
B enefits have to be better communicated and local governments need tools to document thes e benefits to voters .
Nearly two decades of work….
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Compliance
E ffic iency
P rogress and Value
Transparency
Financial S upport
Stormwater Manager’s Needs
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• Complex and costly
• High reliance of experts
• Academic approach to an applied problem
Have we lost the forest through the trees?
Current approach to Monitoring & Modeling
Water quality improvement requires science and funding. We will never have enough of either
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EFFECTIVE IMPLEMENTATION GETS US CLOSER TO CLEAN
WATER
Accessible science
Quantiative iterative approach
Integrated water management
Trajectory toward Clean Water
Plan, Prioritize, Implement
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Central Coast Collaborative ProcessSTORMWATER MANAGEMENT DECISIONS
Tamara Anderson, Central Coast Water BoardJeff Condit, MRSWMPTom Harty, Monterey CountyBridget Hoover, MBNMSDarla Inglis, UC Davis, LIDI Dave LeCaro, City of Paso RoblesFrank Lopez, rep. Cities of Gonzales and SoledadJackie McCloud, City of Watsonville
Jill Murray, City of Santa BarbaraEllen Pritchett, City of Santa Maria
Terry Reynolds, Santa Cruz CountyDominic Roques, Central Coast Water Board
Alyson Tom, Santa Cruz CountyAgnes Topp, City of Santa Cruz
Mary Whittlesey, City of San Luis ObispoTricia Woton, City of Monterey
Next generation of the tools supporting theLake Clarity Crediting Program
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STORMWATER MANAGEMENT DECISIONS
Integrated system to empower municipalities to: ● Prioritize● Plan ● Track ● Report● Prioritize (again)Adaptively manage stormwater
Cost effect ive MS4 compliance
www.2nform.com
Standardized software to monitor and model
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Spatially explicit watershed based approachSTORMWATER MANAGEMENT DECISIONS
Site Scale Urban Catchment Scale Subwatershed Scale(MS4, watershed, region, state)
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Implement and assess effectiveness of actionsSTORMWATER MANAGEMENT DECISIONS
• Parcel runoff controls
• Street sweeping
decentralizedbioretention
infiltration featurescatch basins
etc.
centralizeddry basinswet basins
detention basinsetc.
CA PII PermitE.11E.12E.15
improveE.7E.8
Site Scale
Non-structural BMPs Structural BMPs
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STORMWATER MANAGEMENT DECISIONS
City of South Lake Tahoe (2013)
v1 created 2009
Lake Tahoe (v2)C entral C oas t (v3
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Quantify effectiveness of actionsSTORMWATER MANAGEMENT DECISIONS
Baseline: No BMPs Current or Planning: with BMPs Load reduction to receiving waters- =100 acre feet/year
20 tons/year80 acre feet/yr
15 tons/yr20 acre feet/yr (20%)
5 tons/yr (25%)
CA PII PermitE. 9.aE.14
Urban Catchment Scale
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APN: 102256
1. Inform spatial priorit ies for focused and iterat ive planning
STORMWATER MANAGEMENT DECISIONS
ft/yr
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APN: 102256
2. Quantify, track and report progressSTORMWATER MANAGEMENT DECISIONS
CA PII PermitE.14
3,005
2.955
50
2.625
913
2.725
813
2.025
1,513
1,849
1,689
0% 2% 26% 23% 43% 48%
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APN: 102256
Regional Board grantedread-only access
to RELEASEDpermittee records
STORMWATER MANAGEMENT DECISIONS
Annual Compliance Report ing
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STORMWATER MANAGEMENT DECISIONS
Technical Elements
Development Objectives
1. Directly usable by stormwater managers
2. Only as complex as necessary
3. Scientifically defensible
Beck, Conley, Kanner and Mathias, 2017. An urban runoff model designed to inform stormwater management decisions. Journal of Environmental Management (in press).
www.s wtelr.com
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STORMWATER MANAGEMENT DECISIONS
Aligning tool design with purpose
(EPA, 2009. Guidance on the development, evaluation and Application of Environmental Models)
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• Natural variability of water quality data make understanding changes difficult.
• Capturing this variability helps to isolate the signal of management actions
• TELR characterizes regional rainfall distributions using a 30 yr. historic record (PRISM dataset)
• Simulate 4 discrete 24 hr events adjusted for occurence frequency and # of rain days per year.
• Model time step aligned with management information needs + a computational advantage
STORMWATER MANAGEMENT DECISIONS
Scales of representation
Beck, Conley, Kanner and Mathias, 2017
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Keep it focused and simpleSTORMWATER MANAGEMENT DECISIONS
BMPs and performanceRegional precipitationImpervious coverageHydrologic connectivitySoil type Land use
Leverage proven stormwater modelling methods + publicly available data sets
• USDA curve number for runoff generation
• Routing via NRCS lag method w/urban adjustments
• BMP flow allocation by hydrograph separation.
• LU characteristic runoff concentrations
Key Inputs
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Sequential routing to quantify BMP benefitsSTORMWATER MANAGEMENT DECISIONS
Receiving water
CATCHMENT B
• Explicit routing across landscape features and between catchments
• Centralized BMPs can drain subcatchments within catchments and employ treatment trains.
• Routing between catchments so that downstream catchments and receiving waters incorporate cumulative BMP bennefits
Non structural BMPs Parcels/Roads
Decentralized BMPs
Centralized BMPs
CATCHMENT A
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Runoff validation to observed dataSTORMWATER MANAGEMENT DECISIONS
Observed data from long-term sub hourly urban catchment hydrology monitoring in Tahoe Basin. 2NDNATURE 2012, 2014
● Annual estimated flows show good regional correspondence with measured data.
● Average percent bias = 14%, NSE = 0.97 (0.88 w/o Eloise)
Beck, Conley, Kanner and Mathias, 2017
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Comparisons to continuous simulationSTORMWATER MANAGEMENT DECISIONS
Over 40 hypothetical 100 acre urban catchments with range of soil type, climate and imperviousness. Distribution of % average annual difference.
• Average difference between SWMM-based NSWC and TELR = -2.3 %
Beck, Conley, Kanner and Mathias, 2017
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STORMWATER MANAGEMENT DECISIONS
City of South Lake Tahoe (2013)
City of South Lake Tahoe PLRM (nhc et al 2009) baseline estimates for urban catchment (2013). Consistent inputs for TELR.
• Good average annual alignment with PLRM
• TELR 4 hrs v PLRM 40hrs to generate compile results
Efficient simulation, automated data management and mapped result
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MS4 Mapping Guidance v 2.4 2NDNATURE 2016
standardized process and formats
STORMWATER MANAGEMENT DECISIONS
City of Pacific Grove and City of Monterey
Area of Biological Significance (ASBS)
CASE STUDY
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STORMWATER MANAGEMENT DECISIONS
Pacific Grove Urban Greening PlanASBS Compliance Plan
ASBS Structural BMP Implementation PlanFunding: Prop 84Match: City of Pacific Grove
City of Monterey
Multiple uses includingfuture Regional SWRP
TELR Baseline (no BMPs)597.9 ac ft/yr
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BR
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STORMWATER MANAGEMENT DECISIONS
Planned structural BMPs
Planning Scenario
Baseline Planned Reduction
Runoff (ac ft/yr)
597.9 462.1 135.8 (23%)
Particulates (T/yr)
71.3 28.9 42.4 (60%)
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Hypothetical…Post Implementation (May 2025)
STORMWATER MANAGEMENT DECISIONS
TELR Scenario Runoff(ac-ft/yr)
Baseline Load 597.9
Objective 462.1 (23%)
Current (2025) Load 503.0 (16%)
4 catchments in subwatershed
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STORMWATER MANAGEMENT DECISIONS
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