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SUSTAIN - A BMP Process and Placement Tool for Urban Watersheds Fu-hsiung (Dennis) Lai 1 and Leslie Shoemaker 2 1 U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Water Supply and Water Resources Division, Urban Watershed Management Branch, Edison, NJ 2 Tetra Tech, Inc., Fairfax, VA ArcGIS Interface • BMP Locations • Landuse Types SUSTAIN Framework Manager Database • Tables • Queries Watershed Simulation • Land Processes • Flow/Pollutant Routing BMP Simulation • BMP Configuration • BMP Processes Optimization • BMP Scenarios • Decision Criteria •Cost Estimation Post-Processor • Results Display • Results Analysis The Issue Various structural and non-structural stormwater best management practices (BMPs) have become the national focus for the mitigation of stormwater pollution. Analytical tools are needed to help agencies evaluate management options and optimize cost. Currently there is no comprehensive modeling system available in the public domain for systemically evaluating the location, type, and cost of wet-weather flow BMPs. Urban land increased by 330% and paved road mileage by 280% between 1945 and 1997. When the percentage of impervious cover exceeds 25 to 30% of the watershed, streams tend to no longer support diverse fish and aquatic life. Abstract To assist stormwater management professionals in planning for best management practices (BMPs) and low-impact developments (LIDs) implementation, USEPA is developing a decision support system, called the System for Urban Stormwater Treatment and Analysis INtegration (SUSTAIN). This tool will help develop, evaluate, select, and place BMP/LID options. SUSTAIN, a generic public domain framework, will provide a thorough, practical, and informative assessment of management alternatives considering the economic, environmental, and engineering factors. SUSTAIN supports evaluation of BMP placement at multiple scales from a few city blocks to large watersheds. Objective To develop methodologies and decision support tools that help develop, evaluate, select and place BMPs in urban watersheds based on sound science and consideration of cost and effectiveness. Intended Users Those who have a fundamental understanding of watershed and BMP modeling processes – local and county government engineers/planners, federal/state regulatory reviewers, private consulting engineers, concerned citizens, stakeholders, and academicians. Watershed-based Placement Scenario and Tiered Analysis A relatively large watershed shown in the figure below can usually be subdivided into several smaller sub-watersheds. For each sub-watershed, users select an appropriate suite of feasible BMP options (types, configurations, and costs) at strategic locations. SUSTAIN generates time series rainfall-runoff data from BMP tributary areas and routes them through BMPs, in parallel or in series, and predicts quantity and quality at selected locations. BMP Interface – BMPs are classified and conceptualized in SUSTAIN as scale-based and type-based. The type-based category classifies BMPs into three types based on their geometric properties: · Point BMPs: Practices that capture upstream drainage at a specific location and may use a combination of detention, infiltration, evaporation, settling, and transformation to manage flow and remove pollutants. · Linear BMPs: Narrow linear shapes adjacent to stream channels that provide filtration of runoff, nutrient uptake, and ancillary benefits of stream shading, wildlife habitat, and aesthetic value. · Area BMPs: Land-based management practices that affect impervious area, land cover, and pollutant inputs (e.g., fertilizer, pet waste). The scale-based category classifies various BMPs based on the size and nature of the application area, such as BMPs at lot, community, or watershed scales. Aggregation of Distributed BMPs – For distributed BMPs located in residential parcels of a new development or an existing neighborhood, their precise locations may not be important relative to the scale of a study. Hence, their physical characteristics can be represented by the collective properties (e.g., total detention volume or total infiltration.) This “lumped” approach will reduce computational effort, especially when distributed BMPs are involved in the optimization process as decision variables. In SUSTAIN, distributed BMPs are aggregated as two types of generic BMPs shown below, the first representing infiltration structure and the second detention structure. Impacts/Outcomes · This project demonstrates a collaborative effort of USEPA with a leading watershed modeling firm for advancing the BMP/LID technologies. · The watershed-based decision support tool would help develop restoration plans – that consider hydrologic and water quality impacts, and optimize cost and effectiveness. · The tool will support USEPA program offices in stormwater management evaluations and cost optimizations. Acknowledgements The authors thank Sally Gutierrez, Director of EPA ORD, National Risk Management Research Laboratory and Anthony N. Tafuri, Chief of Urban Watershed Management Branch for their continuing management funding support and attention and thank Ting Dai, John Riverson, Jenny Zhen, Khalid Alvi, Teresa Rafi, Sabu Paul, Haihong Yang, and Guoshun Zhang of Tetra Tech, Inc. for their technical contributions in the development of SUSTAIN. We also thank the Prince George’s County, MD, and Mow-Soung Cheng in particular, for making their BMP module and optimization routine available during the Phase 1 development of SUSTAIN. interval Cost Load Reduction interval Cost Load Reduction interval Tier-1 Solutions for Assessment point j Tier-1 Solutions for Assessment point i Tier-2 Search Domain Tier-1 Cost-Effectiveness Curve for Assessment point j Tier-1 Cost-Effectiveness Curve for Assessment point i The construction of the tier-2 search domain using tier-1 optimization solutions. SUSTAIN produces output for deriving optimal cost-effectiveness curves that relate flow or pollutant load reductions with costs as in the figure below. Each point on a curve represents an optimal combination of BMPs that will collectively remove the stated amount of pollutant load at the least cost. It also shows a tiered evaluation approach for evaluation of both individual watersheds and multiple nested watersheds. Tier-1 optimization performs the optimization search to develop cost-effectiveness curves for each tier-1 subwatershed. Tier-2 optimization uses tier-1 solutions to construct a new optimization search domain and run the transport module, if needed, with solutions from all the subwatersheds to develop the combined cost-effectiveness curve for the entire watershed. Key Components and Their Functionalities Seven key components are integrated under a common ArcGIS platform. Key Components continued Microsoft Access database – consists of tables and queries for interaction and exchange of data. Watershed module includes three internal stand-alone watershed models for generating flow and pollutant time series: · Land for performing landscape runoff simulation. · Conduit for routing of flow and pollutant through a conduit network. · Reach for stream conveyance and pollutant routing. The computer codes will be derived mostly from SWMM5 and some from HSPF (e.g., soil loss in pervious areas and sediment routing) and re-compiled into a dynamic link library (DLL) in the Visual C++ platform. · BMP module performs process-based simulation through ponds, constructed wetlands, infiltration trench, swales, buffer strips, and other BMPs (e.g., green roof, porous pavement) to derive their performance by simulating the major processes that affect hydrology and pollutant behavior. Structural BMP Types Storage Routing Infiltration /Filtration Pollutant Routing/ Removal Sheet Flow Routing/Pollutant Interception Detention Basin + (o) o - Bioretention Basin o + o - Wetland + (o) + - Buffer Strip - + (o) + Swale o + + - Notes: ( ) optional; + major process; o secondary process; - insignificant process. · Post-processor - uses ArcGIS and Microsoft Excel to analyze and visualize model outputs. · Optimization module - performs cost estimating and systematically compares performance and cost data of various BMP options and their placement scenarios. The current version includes two types of optimization search algorithms – genetic algorithm and scatter search. BMP Siting Tool – The tool is designed to support users in selecting suitable locations for the most common structural BMPs based on site suitability criteria which include drainage area and slope, infiltration rate, hydrological soil group, groundwater table depth, road buffer, stream buffer, and building buffer. · Framework manager (FM) – serves as the command center of SUSTAIN, managing the data exchanges between system components. · ArcGIS Interface – serves as the main user interface that includes the main application window with menus, buttons, and dialog boxes. Example Features of SUSTAIN Approach SUSTAIN SUSTAIN SUSTAIN SUSTAIN SUSTAIN SUSTAIN Target Load Reduction Target Load Reduction Decision Optimization Engine Cost Load Reduction Cost Load Reduction Cost Load Reduction Cost Load Reduction Cost Load Reduction Cost Load Reduction Cost Load Reduction Cost Load Reduction Cost Load Reduction SUSTAIN Feasible Option Matrix SUSTAIN Feasible Option Matrix SUSTAIN 1 (0-1) A, B, C… Depth Surface area 2 (0-1) A, B, C… Depth Surface area 1 (0-1) A, B, C… Depth Surface area 2 (0-1) A, B, C… Depth Surface area Potential Location BMP types BMP configuration 1 (0-1) 1 (0-1) A, B, C… A, B, C… Depth Depth Surface area Surface area 2 (0-1) 2 (0-1) A, B, C… A, B, C… Depth Depth Surface area Surface area Feasible Option Matrix Load (reduction) Allocation Waste Load (reduction) Allocation Load (reduction) Allocation Waste Load (reduction) Allocation Target Load Reduction Target Load Reduction BMP Locations BMP Locations Site-Level BMP Placement & Desig n Site-Level BMP Placement & Design Large Watershed Site-Level BMP Placement & Design Decision Optimization Engine Site-Level BMP Placement & Desig n Site-Level BMP Placement & Design Decision Optimization Engine Watershed Scale Community Scale Lot Scale Low Impact Development

Transcript of SUSTAIN - A BMP Process and Placement Tool for Urban …lidinfo.hecsystem.com/data/4_3_2/Manual_EPA...

SUSTAIN - A BMP Process and Placement Tool for Urban WatershedsFu-hsiung (Dennis) Lai1 and Leslie Shoemaker2 • 1U.S. Environmental Protection Agency, National Risk Management Research Laboratory,

Water Supply and Water Resources Division, Urban Watershed Management Branch, Edison, NJ • 2Tetra Tech, Inc., Fairfax, VA

ArcGIS Interface• BMP Locations• Landuse Types

SUSTAINFramework

Manager

Database• Tables• Queries

Watershed Simulation• Land Processes

• Flow/Pollutant Routing

BMP Simulation• BMP Configuration

• BMP Processes

Optimization• BMP Scenarios

• Decision Criteria •Cost Estimation

Post-Processor• Results Display• Results Analysis

The IssueVarious structural and non-structural stormwater best management practices (BMPs) have become the national focus for the mitigation of stormwater pollution. Analytical tools are needed to help agencies evaluate management options and optimize cost. Currently there is no comprehensive modeling system available in the public domain for systemically evaluating the location, type, and cost of wet-weather flow BMPs.

• Urban land increased by 330% and paved road mileage by 280% between 1945 and 1997.

• When the percentage of impervious cover exceeds 25 to 30% of the watershed, streams tend to no longer support diverse fish and aquatic life.

AbstractTo assist stormwater management professionals in planning for best management practices (BMPs) and low-impact developments (LIDs) implementation, USEPA is developing a decision support system, called the System for Urban Stormwater Treatment and Analysis INtegration (SUSTAIN). This tool will help develop, evaluate, select, and place BMP/LID options. SUSTAIN, a generic public domain framework, will provide a thorough, practical, and informative assessment of management alternatives considering the economic, environmental, and engineering factors. SUSTAIN supports evaluation of BMP placement at multiple scales from a few city blocks to large watersheds.

ObjectiveTo develop methodologies and decision support tools that help develop, evaluate, select and place BMPs in urban watersheds based on sound science and consideration of cost and effectiveness.

Intended UsersThose who have a fundamental understanding of watershed and BMP modeling processes – local and county government engineers/planners, federal/state regulatory reviewers, private consulting engineers, concerned citizens, stakeholders, and academicians.

Watershed-based Placement Scenario and Tiered AnalysisA relatively large watershed shown in the figure below can usually be subdivided into several smaller sub-watersheds. For each sub-watershed, users select an appropriate suite of feasible BMP options (types, configurations, and costs) at strategic locations. SUSTAIN generates time series rainfall-runoff data from BMP tributary areas and routes them through BMPs, in parallel or in series, and predicts quantity and quality at selected locations.

BMP Interface – BMPs are classified and conceptualized in SUSTAIN as scale-based and type-based. The type-based category classifies BMPs into three types based on their geometric properties:

· Point BMPs: Practices that capture upstream drainage at a specific location and may use a combination of detention, infiltration, evaporation, settling, and transformation to manage flow and remove pollutants.

· Linear BMPs: Narrow linear shapes adjacent to stream channels that provide filtration of runoff, nutrient uptake, and ancillary benefits of stream shading, wildlife habitat, and aesthetic value.

· Area BMPs: Land-based management practices that affect impervious area, land cover, and pollutant inputs (e.g., fertilizer, pet waste).

The scale-based category classifies various BMPs based on the size and nature of the application area, such as BMPs at lot, community, or watershed scales.Aggregation of Distributed BMPs – For distributed BMPs located in residential parcels of a new development or an existing neighborhood, their precise locations may not be important relative to the scale of a study. Hence, their physical characteristics can be represented by the collective properties (e.g., total detention volume or total infiltration.) This “lumped” approach will reduce computational effort, especially when distributed BMPs are involved in the optimization process as decision variables. In SUSTAIN, distributed BMPs are aggregated as two types of generic BMPs shown below, the first representing infiltration structure and the second detention structure.

Impacts/Outcomes· This project demonstrates a collaborative effort of USEPA with a leading watershed modeling firm for advancing the

BMP/LID technologies.· The watershed-based decision support tool would help develop restoration plans – that consider hydrologic and water

quality impacts, and optimize cost and effectiveness.· The tool will support USEPA program offices in stormwater management evaluations and cost optimizations.

AcknowledgementsThe authors thank Sally Gutierrez, Director of EPA ORD, National Risk Management Research Laboratory and Anthony N. Tafuri, Chief of Urban Watershed Management Branch for their continuing management funding support and attention and thank Ting Dai, John Riverson, Jenny Zhen, Khalid Alvi, Teresa Rafi, Sabu Paul, Haihong Yang, and Guoshun Zhang of Tetra Tech, Inc. for their technical contributions in the development of SUSTAIN. We also thank the Prince George’s County, MD, and Mow-Soung Cheng in particular, for making their BMP module and optimization routine available during the Phase 1 development of SUSTAIN.

Cost

Load

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Cost

Load

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Cost

Load

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Tier-1 Solutions for Assessment point j

Tier

-1 S

olut

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Asse

ssm

ent p

oint

i

Tier-2 Search Domain

Tier-1 Cost-Effectiveness Curve for Assessment point j

Tier-1 Cost-Effectiveness Curve for Assessment point i

The construction of the tier-2 search domain using tier-1 optimization solutions.

SUSTAIN produces output for deriving optimal cost-effectiveness curves that relate flow or pollutant load reductions with costs as in the figure below. Each point on a curve represents an optimal combination of BMPs that will collectively remove the stated amount of pollutant load at the least cost. It also shows a tiered evaluation approach for evaluation of both individual watersheds and multiple nested watersheds.

• Tier-1 optimization performs the optimization search to develop cost-effectiveness curves for each tier-1 subwatershed.

• Tier-2 optimization uses tier-1 solutions to construct a new optimization search domain and run the transport module, if needed, with solutions from all the subwatersheds to develop the combined cost-effectiveness curve for the entire watershed.

Key Components and Their Functionalities Seven key components are integrated under a common ArcGIS platform.

Key Components continued

Microsoft Access database – consists of tables and queries for interaction and exchange of data.

Watershed module – includes three internal stand-alone watershed models for generating flow and pollutant time series:

· Land for performing landscape runoff simulation.

· Conduit for routing of flow and pollutant through a conduit network.

· Reach for stream conveyance and pollutant routing.

The computer codes will be derived mostly from SWMM5 and some from HSPF (e.g., soil loss in pervious areas and sediment routing) and re-compiled into a dynamic link library (DLL) in the Visual C++ platform.

· BMP module – performs process-based simulation through ponds, constructed wetlands, infiltration trench, swales, buffer strips, and other BMPs (e.g., green roof, porous pavement) to derive their performance by simulating the major processes that affect hydrology and pollutant behavior.

Structural BMP Types Storage Routing

Infiltration/Filtration

Pollutant Routing/ Removal

Sheet Flow Routing/Pollutant

Interception Detention Basin + (o) o - Bioretention Basin o + o - Wetland + (o) + - Buffer Strip - + (o) + Swale o + + -

Notes: ( ) optional; + major process; o secondary process; - insignificant process.

· Post-processor - uses ArcGIS and Microsoft Excel to analyze and visualize model outputs.· Optimization module - performs cost estimating and systematically compares performance and cost data of various

BMP options and their placement scenarios. The current version includes two types of optimization search algorithms – genetic algorithm and scatter search.

BMP Siting Tool – The tool is designed to support users in selecting suitable locations for the most common structural BMPs based on site suitability criteria which include drainage area and slope, infiltration rate, hydrological soil group, groundwater table depth, road buffer, stream buffer, and building buffer.

· Framework manager (FM) – serves as the command center of SUSTAIN, managing the data exchanges between system components.

· ArcGIS Interface – serves as the main user interface that includes the main application window with menus, buttons, and dialog boxes.

Example Features of SUSTAIN Approach

SUSTAINSUSTAINSUSTAINSUSTAIN

SUSTAINSUSTAIN

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DecisionOptimization

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SUSTAIN

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential LocationPotential LocationPotential Location

BMP typesBMP typesBMP types BMP configurationBMP configurationBMP configuration

1 (0-1)1 (0-1) A, B, C…A, B, C… DepthDepth Surface areaSurface area ……

2 (0-1)2 (0-1) A, B, C…A, B, C… DepthDepth Surface areaSurface area ……

…… …… …… …… ……

Feasible Option Matrix

SUSTAIN

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential LocationPotential LocationPotential Location

BMP typesBMP typesBMP types BMP configurationBMP configurationBMP configuration

1 (0-1)1 (0-1) A, B, C…A, B, C… DepthDepth Surface areaSurface area ……

2 (0-1)2 (0-1) A, B, C…A, B, C… DepthDepth Surface areaSurface area ……

…… …… …… …… ……

Feasible Option Matrix

SUSTAIN

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential Location

BMP types BMP configuration

1 (0-1) A, B, C… Depth Surface area …

2 (0-1) A, B, C… Depth Surface area …

… … … … …

Potential LocationPotential LocationPotential Location

BMP typesBMP typesBMP types BMP configurationBMP configurationBMP configuration

1 (0-1)1 (0-1) A, B, C…A, B, C… DepthDepth Surface areaSurface area ……

2 (0-1)2 (0-1) A, B, C…A, B, C… DepthDepth Surface areaSurface area ……

…… …… …… …… ……

Feasible Option Matrix

Load (reduction) Allocation

Waste Load (reduction) Allocation

Load (reduction) Allocation

Waste Load (reduction) Allocation

Target Load ReductionTarget Load ReductionBMP LocationsBMP Locations

Site-Level BMP Placement & Design

Site-Level BMP Placement & Design

Large WatershedSite-Level BMP Placement & Design

DecisionOptimization

Engine

Site-Level BMP Placement & Design

Site-Level BMP Placement & Design

DecisionOptimization

Engine

Watershed Scale

Community Scale

Lot Scale

Low Impact Development