antecedent moisture modeling - mwrd.org
TRANSCRIPT
Antecedent Moisture Modeling
I/I Advisory Technical PanelOctober 10, 2012
Conventional Approach
Measure Rainfall &
Flow
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Quantify I/ITargeted
Rehabilitation
Flow vs. Rainfall
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Flow vs. Rainfall
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Consequences of Uncertainty
� Inability to quantify I/I
� Inability to quantify effectiveness of rehab
�Overly conservative improvements
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Nature of the Problem
�Unknown pathways for I/I to enter sewers
�Unknown soil types / permeability
�Antecedent moisture
– Short and long response times– Short and long response times
– Seasonal response
– Back-to-back events
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Effect of Antecedent Moisture
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THERE IS A BETTER WAY!
�Antecedent Moisture Modeling (AMM)
� Long-Term-Simulations (LTS)
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Antecedent Moisture Modeling
�Rainfall Dependent Infiltration (RDI)
�Simulates hydrologic cycle
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Antecedent Moisture Modeling
�Rainfall Dependent Infiltration (RDI)
�Simulates hydrologic cycle
�Predicts short & long-term response
�Simulates effect of back-to-back events
�Predicts wet weather response over long periods of time
�Empirical model (requires long-term calibration)
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I/I Reduction Effectiveness
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I/I Reduction Effectiveness
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I/I Reduction Effectiveness
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Heart of the Valley
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Heart of the Valley
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Population Served = 38,000
Heart of the Valley
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Kaukauna
0.73% Peak Flow Reduction
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8.8% Volume Reduction
Cost-Effective Analysis
Item Quantity
I/I Reduction Goal 30%
I/I Reduction to Date 13%
Peak Flow Reduction 8 MGD
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Peak Flow Reduction 8 MGD
Public Rehab Costs $15M
Private Rehab + Ancillary ~$15M
Unit Cost $2M - $4M per MGD
Long Term Simulations (LTS)
• Rainfall• Peak Flow
• Volume
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• Rainfall
• Temperature
• Evaporation
HydrologicData
• Hydrology
• HydraulicModel
• Volume
• Pipe Sizing
• DetentionSizing
Frequency Analyses
Heart of the Valley
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Population Served = 38,000
Surcharge Frequency
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Flow Equalization Sizing
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Finalist
RDI Model Calibration
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Flow Monitoring
Model Calibration
I/IReduction
Conveyance Improvements
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MonitoringReduction
Effectiveness
Customer Billing
Improvements
Modeling Software
Name Developer AMM Method GIS Integration
MikeUrban DHI Full RDII Good
XP-SWMM XP Software UH1 Poor
EPA SWMM USEPA / CDM UH None
InfoWorks CS Innovyze Full RDII Excellent
Info-SWMM Innovyze UH Excellent
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Info-SWMM Innovyze UH Excellent
SewerGEMS Bentley UH Excellent
H2O Metrics i3D Technologies Variable PR2 N/A
Hydra Pizer None None
PC-SWMM CHI UH Poor
1. Unit Hydrograph2. Percentage Runoff
Antecedent Moisture ModelingI/I Advisory Technical PanelOctober 10, 2012
Questions?
Contact Info:Stephen E. Sticklen, PE125 South Wacker, Suite 1850Chicago, IL [email protected]