PowerPoint Presentation · 2016-09-27 · 9/27/2016 1 1 Gary Conley [email protected]...
Transcript of PowerPoint Presentation · 2016-09-27 · 9/27/2016 1 1 Gary Conley [email protected]...
9/27/2016
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Gary Conley
www.2ndnaturellc.com
Aligning Stormwater Model Specification with
Management Needs: a Practical Tool for
Estimating Load Reductions (TELR)
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Clean water through sustainable land management decisions, using transparent
science to communicate priorities and track accountability.
2NFORM
www.2NFORM.com
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The Problem
• Natural variability of urban catchments make measuring changes difficult
• Monitoring data are limited in spatial extent and utility of short timeframes
• Stormwater managers require tools that operate on scales relevant to decision making reporting requirements (NPDES, MS4)
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Modeling philosophy
All models are wrong, but some
are useful-George Box, 1976
Complex Simple
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Modeling Philosophy
Models used in the regulatory process should be no more complicated
than is necessary to inform regulatory decision and that it is often
preferable to omit capabilities that do not substantially improve model
performance (NRC, 2007)
Adapted from Hanna (1988) and EPA (2009)
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Development Objectives
• Well tested algorithms from USDATechnically robust
Easy to use
Aligns with stormwater information needs
• Standardized inputs + clear guidance• Purpose built for stormwater managers
• Objective, transparent prioritization• Track progress towards WQ goals• Test heuristic management scenarios
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1 TELR Structure
• USDA SCS curve number
runoff generation
• LU characteristic runoff
concentrations
• USDA TR-55 method for
peak inflow/outflow
• Routing is by NRCS lag
method with urban
adjustments
• Annual time step
• Structural + non-structural
BMPs
HTR
IND
SFR
IND land use (% imp)
land use type
decentralized BMPs
centralized BMPs
runoff/loads
URBAN CATCHMENT
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http://www.2ndnaturellc.com/reports/
TELR Inputs
• Publicly available
data
• Precipitation
• Soils
• Land use
• Impervious area
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TELR Catchment Delineation
• Urban catchments ~ 100 acres
• Catchments are have
either diffuse or discrete
outlets
• Connectivity to receiving
waters
• Urban hydrography dataset
utility beyond modeling
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TELR vs SWMM based Model Results
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TELR vs SWMM based Model Results
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Land Use
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BMPs + Condition
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Parcel Condition
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City of Watsonville, CA
DEMO
NameLoad Rate
(ac-ft/yr) (ft/yr)
3050 3050 3578 3578 35783578
ac-ft/yr
305
2745
665
2395
932
2626
1180
2398
1550
2028
Rate (ft/yr)
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City of Watsonville, CA
Name Load Rate (ton/yr) (ton/ac/yr)
400 400 427 427427
Ton/yr
40
360
85
315
119
308
150
277
178
249
Rate ton/ac/yr)
DEMO
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Receiving
Water
Runoff
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Catchment Reductions
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Phase II MS4 requirement satisfaction
Post-construction
requirements
Public outreach and
educationWeb-based spatial outputs
Parcel runoff neutrality estimates
Runoff and particulate pollutant
load reduction estimates
Pollution prevention
and good
housekeeping
Seamless integration with BMP
inventory and condition trackingBMP Asset tracking
MS4 requirement TELR output
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Support
Regulators
EPA Region 9 (CA, NV, AZ, NM, HI) support and tight contacts Recent CWA contracting mechanism
CA Regional Board Funding and SupportRegion 3; Funded BMP RAMv3 and TELR in partRegion 6; Funded BMP RAM v1 and v2 , Road RAM v1, v2Collaborative relationship, encourage expansion of use
Regulated entities
Over 40 municipal partners across California
CommunityProvides the accountability and transparency
NGOsAlignment with a widespread call for a shift towards quantified environmental outcomes
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Gary Conley
2NDNATUREp 831.426.9119
www.2NFORM.com
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Modeling Philosophy
Sto
rmw
ater
Run
off
Time
Uncertainty envelope