Cudworth Professor of Urban Water Systems

Slides:



Advertisements
Similar presentations
WinSLAMM v 9.4 Catchbasins/ Hydrodynamic Devices Tab 5-D
Advertisements

Performance Results from Small- and Large-Scale System Monitoring and Modeling of Intensive Applications of Green Infrastructure in Kansas City Integrated.
How they work Tom Schneider, CPESC President SCIECA EPA Region 6 MS4 Conference July 7, 2011 San Antonio, Texas.
Introduction 5 Case Studies Impervious Cover (%) for Various Land Uses [2] [2] Low Density Residential 10 Medium Density Residential 30 High Density Residential.
Modelling the impact of implementing Water Sensitive Urban Design at a catchment scale Luca Locatelli Phd Student DTU - Environment P.S. Mikkelsen (DTU),
1 CE 548 Analysis and Selection of Wastewater Flowrates and Constituent Loading.
Permeable Heavy Use Area for Livestock Farms Presentation for Kitsap County DCD, September 28 th, 2006, Lab Test Findings and Calculated Storm Water Performance.
Infiltration Through Compacted Urban Soils and Effects on Biofiltration Robert Pitt Department of Civil and Environmental Engineering University of Alabama.
Stormwater Systems ARCH-433. Attendance This water closet, installed in Pullman, Washington, flushes in a counterclockwise rotation. In what direction.
Adapting Stormwater Management to Climate Change Ken Potter Department of Civil & Environmental Engineering University of Wisconsin-Madison.
Development and Reliability of Standard Land Development Models Robert Pitt 1, Celina Bochis 2, and Geosyntec Project Team Members 1 Cudworth Professor.
Low Impact Development Overview  Alternative to end of pipe approach to SWM  Maintain hydrologic function of local ecosystem  Treat stormwater close.
Overview of Urban Drainage Flood Prediction Methods and Approaches J.Y. Chen1 and B.J. Adams2 1. Water Survey Division, Environment Canada 2. Department.
Wake County Stormwater Workshop Guidance on the New Stormwater Ordinance and Design Manual August 29, 2006.
Upper Brushy Creek Flood Study – Flood mapping and management Rainfall depths were derived using USGS SIR , Atlas of Depth Duration Frequency.
B.S. Engineering Science, Humboldt State University, Arcata, CA MSCE, San Jose State University, San Jose, CA Ph.D., Environmental Engineering,
Chemical and Microbiological Quality of Stormwater Runoff Affected by Dry Wells; A Case Study in Millburn, NJ Leila Talebi 1, Robert Pitt 2 1 PhD Candidate,
8. Bioinfiltration and Evapotranspiration Controls in WinSLAMM v 10 Robert Pitt, John Voorhees, and Caroline Burger PV & Associates LLC Using WinSLAMM.
Tom Singleton Associate VP, Director, Integrated Water Resources an Atkins company Linking TMDLs & Environmental Restoration.
Bernie Engel Purdue University. Low-Impact Development (LID) An approach to land development to mimic the pre-development site hydrology to: 1)Reduce.
Modeling Green Infrastructure Components in a Combined Sewer Area Robert Pitt, Ph.D., P.E., D.WRE, BCEE Department of Civil, Construction, and Environmental.
SUSTAIN Pilot Study April 25, 2012 Curtis DeGasperi King County
Robert Pitt Department of Civil, Construction, and Environmental Engineering University of Alabama Tuscaloosa, AL, USA Effective Urban Stormwater.
Academic Background: Ph.D. Student in Water Resources Engineering at the University of Alabama. Currently working on Computational Fluid Dynamics and Physical.
STEP 3: SITING AND SIZING STORM WATER CONTROLS Section 6.
B.S. Engineering Science, Humboldt State University, Arcata, CA MSCE, San Jose State University, San Jose, CA Ph.D., Environmental Engineering,
B.S. Engineering Science, Humboldt State University, Arcata, CA MSCE, San Jose State University, San Jose, CA Ph.D., Environmental Engineering,
Stormwater Management Studies in Areas Undergoing Reconstruction Following the Tornado that Hit Tuscaloosa, AL Redahegn Sileshi 1, Robert Pitt 2, Shirley.
Area Measurements from Site Plans and Introduction to WinSLAMM Analyses Robert Pitt Dept. of Civil and Environmental Engineering University of Alabama.
Bernie Engel, Larry Theller, James Hunter Purdue University.
Created by The North Carolina School of Science and Math.The North Carolina School of Science and Math Copyright North Carolina Department of Public.
Assessing Potential Effects of Highway Runoff on Receiving-Water Quality in Oregon using Surrogate Water-Quality Data Sets John Risley, Gregory E. Granato,
Stormwater Water Quality Treatment Options Alvin Shoblom, P.E. Hydraulics Engineer.
Term Project Presentation CE 394K.2 Hydrology Presented by Chelsea Cohen Thursday, April 24, 2008.
B.S. Engineering Science, Humboldt State University, Arcata, CA MSCE, San Jose State University, San Jose, CA Ph.D., Environmental Engineering,
1 Using WinSLAMM For Stormwater Retrofit in Urban Environments August 22, 2011 StormCon 2011, Anaheim, CA Presented by: James Bachhuber PH Caroline Burger.
State Board Modeling Needs and Interests Eric Berntsen, PH, CPESC, CPSWQ State Water Resources Control Board CWEMF Hydrology and Watershed Modeling Workshop.
Noboru Togawa  Ph.D Student at the University of Alabama, expected graduation, spring, 2010  Master in Environmental Engineering at the University of.
FIELD PERFORMANCE FOR UP FLOW FILTRATION DEVICE Noboru Togawa Robert Pitt Robert Andoh Kwabena Osei Richard Field Anthony Tafuri Department of Civil, Construction,
STORM WATER STORAGE AND TREATMENT
Sources of Bacteria and their Variability in Urban Watersheds Robert Pitt Cudworth Professor Urban Water Systems Department of Civil, Construction, and.
Storm Water Runoff Storm Water Runoff
Clear Creek Solutions, Inc. LID Hydrology and Hydraulics Doug Beyerlein, P.E. Clear Creek Solutions, Inc.
ASCE LID Conference LID Analysis Considerations in Western Washington November 17, 2008 Doug Beyerlein, P.E. Clear Creek Solutions, Inc.
Module 5: WinSLAMM v 9.1 Model Features Robert Pitt, P.E., Ph.D. Dept. of Civil, Construction and Environmental Engineering University of Alabama John.
Linear Programming and Applications
Glenn E. Moglen Department of Civil & Environmental Engineering Virginia Tech Introduction to NRCS/SCS Methods (continued) CEE 5734 – Urban Hydrology and.
ERT 208/4 REACTION ENGINEERING: Distribution of Residence Times for Reactors (PART A) By; Mrs Hafiza Binti Shukor ERT 208/4 REACTION ENGINEERING SEM 2.
Modeling an Urban Development with MIKE-SWMM Presented by: Melissa Figurski.
MIDS Calculator Fundamentals
Redahegn Sileshi1, Robert Pitt2 and Shirley Clark3
Rainfall-Runoff modeling
Redahegn Sileshi1, Robert Pitt2 , and Shirley Clark3
Hydrologic Analysis (Bedient chapter 2)
SPU Modeling & Monitoring
Flow Equalization Jae K. (Jim) Park Dept. of Civil and Environmental Engineering University of Wisconsin-Madison.
Storm Water Storage and Treatment
Redahegn Sileshi1, Robert Pitt2, and Shirley Clark3
Redahegn Sileshi1, Robert Pitt2, Shirley Clark3, and Chad Christian4
Storm Water Runoff Storm Water Runoff
Where Does Storm Water Go?
Estimation of Loadings for Nonpoint Sources and Stormwater
Precipitation Analysis
Storm Water Runoff Storm Water Runoff
Hyetographs & Hydrographs
Northern California LID Hydrology and Hydraulics
Storm Water Runoff Storm Water Runoff
MIDS Calculator Use - Intermediate
Frequency Distributions
Urban Hydrology & Stormwater management
Presentation transcript:

Cudworth Professor of Urban Water Systems Bob Pitt Cudworth Professor of Urban Water Systems Department of Civil, Construction, and Environmental Engineering University of Alabama Tuscaloosa, AL USA B.S. Engineering Science, Humboldt State University, Arcata, CA 1970. MSCE, San Jose State University, San Jose, CA 1971. Ph.D., Environmental Engineering, University of Wisconsin, Madison, WI 1987. About 40 years working in the area of wet weather flows; effects, sources, and control of stormwater. About 100 publications, including several books.

Long-term Continuous Simulations for Evaluating Storage-Treatment Design Options of Stormwater Filters Robert Pitt, Ph.D., P.E., D.WRE, BCEE Department of Civil, Construction, and Environmental Engineering University of Alabama Tuscaloosa, AL, USA 35487 John Voorhees, P.E., P.H. AECOM, Inc. Madison, WI Shirley Clark, Ph.D., P.E., D.WRE Penn State – Harrisburg Middletown, PA Photo by Lovena, Harrisburg, PA

Project Overview The performance of a stormwater treatment filter is dependent on the amount of the annual runoff that is treated and by the level of treatment provided. Most filters usually have a maximum treatment flow rate that can be utilized per filter unit to obtain the stated treatment level of the treated water. The use of up-gradient storage can moderate the high flows, decreasing the amount of stormwater that is bypassed without treatment. The sizing of this adjacent storage should be done in conjunction with a continuous model that can evaluate many storage-treatment combinations.

Multi-Unit Examples of Stormwater Filters in Large Vaults to Handle Large Flows The typical approach to treat large flows is to use a large number of filter units.

The Multi-Chambered Treatment Train (MCTT) was developed by Pitt (1999) for the EPA to provide pre-treatment of stormwater from critical source areas before infiltration. In order to handle a wide range of flows and to provide excellent treatment, storage (provided in the main settling chamber) before the filtration unit was considered a critical unit process.

Minocqua, WI, MCTT Installation Filter Chamber Storage Unit Treated effluent Influent

Knowledge of Site Hydrology is Critical in the Design of Stormwater Treatment Systems Continuous simulations allow evaluations to consider highly varying flow rates and antecedent conditions. Critical flow characteristics vary for different regions and for different development characteristics. This example is for commercial paved areas, common locations for stormwater filters. A typical five year period used by the state of Wisconsin for stormwater quality evaluations was used in the evaluations.

Five year plot of Madison, WI total rain depths (1980 through 1985) This period was selected by the WI DNR and the USGS to be representative of typical long-term conditions, and not to contain any unusually large rains. The largest rains in this period were about three inches in depth. A treatment system designed to treat 100% of the resultant flows from these events may bypass some limited flows every several years, depending on the frequency of very large drainage-class storm events.

Flow Rate Distribution Calculations WinSLAMM was used to calculate cumulative flow rate distribution plots for all events in the 5-year study period. These flows were calculated on 6-minute increments, then exported to Excel, sorted and summed to prepare the fraction of time associated with any flow rate, or less. Another plot was created showing how adjacent storage and controlled releases could reduce these flows.

Annual Cumulative Flow Rate Distributions (Madison, WI, 1980 through 1985 rains)

Effects of Storage on Peak Flow Rates (Madison, WI)

Treatment Flow Rates and Fraction of Total Flow Treated The 6-minute calculated flows were used to determine treatment flow rate effects. A number of treatment flow rates were subtracted from all of the calculated site runoff rate values. The excessive flows not treated for each flow increment were then summed and compared to the total flow quantity. These excessive flow sums for each treatment flow rate were then plotted to indicated how much of the total period flow would be treated, if different treatment flow rates were available.

Treatment Flow Rates and Fraction of Total Flow Treated (cont.) This was repeated using the adjusted 6-minute flow rate distributions associated with different storage volumes. These results were also plotted to indicate the benefits of storage and treatment flow rates on the amount of the total flow able to be treated.

Percentage of Annual Flows Treated for Different Treatment Flow Rates (no storage)

Effects of treatment flow rate and storage on percentage of annual flow treated, 1980 through 1985 Madison, WI rains and one acre commercial paved parking area

As an example, about 45 gpm per acre of impervious area can provide 90% treatment of the total period flows, if about 1.1 inches of storage was available. Very little benefit is available for storage amounts up to about 0.34 inches.

Storage-Treatment Examples The following examples examine several treatment objectives and show how interactions of storage and treatment can be used to select the most cost-effective combination. Typical filter and storage costs are shown on the following tables and are used in conjunction with the previous performance curves to determine the costs of the different treatment and storage options.

Example Filter Costs Cost for Filters Total Treatment Flow Rate (gpm) Total Storage in Basic Unit (ft3) small vault and 3 filter cartridges $14,500 22.5 72 plus another 3 filter cartridges (total of 6) $19,000 45 large vault with 9 filter cartridges $33,500 67.5 360 plus another 3 filter cartridges (total of 12) $38,000 90 plus another 3 filter cartridges (total of 15) $42,500 112.5

Example Storage Volumes and Costs Total Storage Volume (ft3) Number of Each Type of Storage Tank (200 ft3/1,000 ft3/6,000 ft3) Total Cost for Storage 200 1/0/0 $5,000 400 2/0/0 10,000 1,000 0/1/0 15,000 2,000 0/2/0 30,000 6,000 0/0/1 40,000 12,000 0/0/2 80,000

Example Cost and Performance Scenarios The following plots examine a series of different combinations of storage and filtration capacity. Each example uses a different set of conditions that are able to meet the performance objectives. For each option, a combination of filters and storage volume was determined to meet the performance objective. The costs for each of these components are plotted separately for each option, along with the total costs for both components. The least cost option that can meet the performance objective is then easily identified.

1) Goal is to treat 90% of the annual runoff The most cost-effective solution is to use the basic filter only option with 15 filter cartridges (total cost of $42,500) for the acre of impervious area, without any additional storage.

2) Goal is to treat 100% of the annual runoff (which is becoming common now with numeric standards in stormwater permits) The most cost-effective solution is to use the largest amount of storage (total cost of about $82,500). About 70 cartridges are needed to treat the 500 gpm peak flow rate. The cost to treat 100% of the peak expected flows is about two times the cost of treating 90% of the total runoff volume.

3) Goal is to treat the total annual runoff at 40, 60, or 80% SSC reduction levels in order to meet TMDL requirements. It is assumed that the filter unit can reduce the SSC at the 85% level under all flow conditions considered. The treatment flow options therefore vary for each level of control desired: Control Option Fraction of Total Annual Flow that Must be Treated, Assuming Constant 85% Reductions by the Filters 40% SSC Load Reductions 48% 60% SSC Load Reductions 71% 80% SSC Load Reductions 95%

Costs for different storage-treatment options for 40% SSC load reductions Only the smallest vault with two cartridges is needed. No additional storage is needed. The expected cost is about $13,000 per acre of impervious acre.

Costs for different storage-treatment options for 60% SSC load reductions Only the smallest vault with 5 filter cartridges is needed to provide the least cost option, with no additional storage. The expected total cost is about $19,000 per acre of impervious acre.

Costs for different storage-treatment options for 80% SSC load reductions An intermediate control option is slightly more cost-effective. This option uses the large vault with 15 filter cartridges, plus the small vault with 3 more cartridges, at about $62,000 per impervious acre.

Conclusions The procedures described in this paper can be effectively used to predict performance and to prepare design curves that can assist in sizing stormwater filters for specific areas. Continuous simulations produce cumulative flow rate plots that can be used in evaluating different treatment flow rate objectives. It is possible to determine the treatment flow rates needed to treat different fractions of the total long-term flows. These examples, using WinSLAMM, show how dramatically the treatment flow rate is dependent on treatment objectives and how storage can be used in many cases to reduce the overall expected costs of the treatment systems, in a similar manner as used in many other fields of the water and wastewater treatment industry.