Recalibration of New York City s Drainage System Models to Support Green Infrastructure Planning and Implementation
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1 2011 Low Impact Development Symposium 9/28/2011 Recalibration of New York City s Drainage System Models to Support Green Infrastructure Planning and Implementation Sri Rangarajan, Chenchen Li, William Leo, HDR HydroQual Julie Stein, New York City Environmental Protection Charles Wilson, Hazen and Sawyer
2 Outline Introduction Site-scale Calibrations Area-wide Calibrations Green Infrastructure Evaluations Conclusions
3 Introduction Previous Modeling - InfoWorks models for LTCP development - Imperviousness estimated from parcel data - Metering at outfalls/interceptors influenced by sewer hydraulics GI Evaluation Goals - Better impervious/pervious estimation - Isolate hydrology behavior - Area-wide BMP/LID representation
4 Runoff Modeling Method Pervious surface Impervious surface CURRENT Infiltration 100% connected % connected (Runoff Coefficient, C imp ) Pervious surface Impervious surface Collection System PREVIOUS % connected (Runoff Coefficient, C per ) Collection System
5 Pervious Area Estimation by SMA Meter Location Pervious Non Open Pervious Open
6 Site-scale Monitoring 10 Flow Meters - 3 in TI,1 in BB,1 in RH, 2 in NC, 3 in HP At Upstream of the Watershed Monitoring runoff Period: 10/20/2009 to 12/17/2009 Global parameters to apply for area-wide calibrations - Runoff Coefficient, C - Surface Roughness (n) - Initial Losses (depression storage/ evaporation)
7 SITE #6: Austin Street at 70th Ave in BBH
8 Landcover Distribution of the 10 Sites Site # Meter ID WWTP Total Area (acre) Impervious (%) Pervious Non-Open Space (%) Pervious Open Space (%) 1 10 HP HP TI TI TI BB-H NC-B NC-B RH HP
9 Rainfall Event Summary at CPK DATE Duration Total Vol Avg Int Max Int (CPK) (hrs) (in) (in/hr) (in/hr) 10/2/ /3/ /7/ /15/ /17/ /23/ /24/ /27/ /27/ /31/ /31/ /12/ /13/ /19/ /30/ /2/ /5/ /9/ /13/ /20/ JFK CPK '99-'08 avg " " >1.0"
10 Radar Rainfall
11 Calibration Criteria WAPUG Guidance - Volume: +20% to -10% - Peak flow: + 25% to - 15% - Depth of surcharge:+16 inches to 4 inches - Un-surcharged depth: ± 4 inches - Timing of peaks and troughs: similar
12 SITE #6 (Meter 13) in BBH Volume Comparison Calibration Storms Volume Comparison Validation Storms Volume Comparison 3.5 Modeled Volume - Radar 3.5 Modeled Volume - Radar Modeled Volume (MG) Modeled Volume (MG) Observed Volume (MG) Observed Volume (MG) Upper Bound: +20% of Observed Volume Lower Bound: -10% of Observed Volume 1:1 Line
13 SITE #6 (Meter 13) in BBH Peak Flow Comparison Calibration Storms Validation Storms Peak Flow Comparison Peak Flow Comparison 35 Modeled Peak Flow - Radar 35 Modeled Peak Flow - Radar Modeled Peak Flow (MGD) Modeled Peak Flow (MGD) Observed Peak Flow (MGD) Observed Peak Flow (MGD) Upper Bound: +25% of Observed Peak Lower Bound: -15% of Observed Peak 1:1 Line
14 SITE #6 (Meter 13) in BBH Maximum Water Depth Comparison Calibration Storms Validation Storms Water Depth Comparison Water Depth Comparison 3.0 Modeled Depth - Radar 3.0 Modeled Depth - Radar Modeled Depth (ft) Modeled Depth (ft) Observed Depth (ft) Observed Depth (ft) Upper Bound (Surcharged Pipe): +18 in of Max Depth 2 nd Upper Bound (Unsurcharged Pipe): +4 in of Max Depth Lower Bound: -4 in of Max Depth 1:1 Line
15 SITE #6 (Meter 13) in BBH Example Calibration Plots Flow Comparison - 11/19/2009 Storm Event Depth Comparison - 11/19/2009 Storm Event Observed Modeled - Radar Observed Modeled - Radar Flow (MGD) Depth (ft) /19 12:00 11/20 00:00 Month/Day Hour 11/20 12:00 11/21 00:00 11/19 12:00 11/20 00:00 11/20 12:00 Month/Day Hour 11/21 00:00 Flow Comparison - 12/09/2009 Storm Event Depth Comparison - 12/09/2009 Storm Event Observed Modeled - Radar Observed Modeled - Radar Flow (MGD) Depth (ft) /08 12:00 12/09 00:00 Month/Day Hour 12/09 12:00 12/10 00:00 12/08 12:00 12/09 00:00 12/09 12:00 Month/Day Hour 12/10 00:00
16 Global DCIA Model Parameters Surface Type Initial Losses (inch) Parameters Runoff Coefficient Roughness Impervious Pervious (non - open) Pervious (open)
17 Area-wide Model Calibration DCIA method extended to area-wide models Models initialized with global parameters Data from LTCP studies were used Rainfall spatial variation reviewed
18 Area-wide Calibration Example: BBH Monitoring Period: July- October, 2005 M8 Imperviousness for Hydrology Meter New Model Meter Original Model CU Data With Coeff M M
19 BBH-M6 Interceptor: Volumes and Peak Flows Volume Comparison Peak Flow Comparison 1800 Modeled Volume - LGA Modeled Volume - Radar 250 Modeled Peak Flow - LGA Modeled Peak Flow - Radar Modeled Volume (MG) Modeled Peak Flow (MGD) Observed Volume (MG) Observed Peak Flow (MGD) 1:1 Line Upper Bound of Observed Data (+20% for Volume, +25% for Peak Flow) Lower Bound of Observed Data (-10% for Volume, -15% for Peak Flow)
20 Flow Comparison - 10/7/2005 Storm Event Observed Flow Modeled Radar Modeled LGA Flow (MGD) /7/05 18:00 10/8/05 6:00 10/8/05 18:00 10/9/05 6:00 Month/Day Hour Flow Comparison - 10/10/2005 Storm Event Observed Flow Modeled Radar Modeled LGA 10/11 00:00 10/11 12:00 10/12 00:00 10/12 12:00 10/13 00:00 10/13 12:00 10/14 00:00 10/14 12:00 10/15 00:00 Month/Day Hour 10/10 00:00 10/10 12:00 Flow (MGD) BBH-M6 Interceptor
21 GI Evaluation (1988 JFK rain, projected 2030 flows) Waterbody Name Existing Cost-Effective Grey Green - Detention at 0.25 cfs/ac on 10% impervious area Green - infiltration on 10% impervious area Alley Creek Bronx River 1, East River & Open Waters 4,434 3,331 3,192 2,962 2,919 Flushing Bay 2,161 1,876 1,802 1,682 1,118 Flushing Creek 4,316 1,666 1,617 1,528 1,666 Hutchinson Creek Westchester Creek Total 13,647 8,580 8,207 7,682 7,162 Grey
22 Conclusions Infrared satellite imagery with SMA was useful for estimation of imperviousness and inclusion in models Up-scaling process provided an optimal combination of monitoring and modeling strategies to perform GI evaluations in a large urban system DCIA method can be used to model impervious surfaces that are not hydraulically connected to the drainage system
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