DYNAMIC MODELING OF WET WEATHER OPERATIONS AT …reactors to step feed modes to avoid solids washout...

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DYNAMIC MODELING OF WET WEATHER OPERATIONS AT BLUE PLAINS ADVANCED WASTEWATER TREATMENT PLANT E. Locke,* A. Al-Omari,* K.Kharkar,* N. Passarelli* A. Tesfaye,** S.Kharkar,** *Metcalf & Eddy, Inc. 5000 Overlook Ave, SW Washington, DC 20032 **DC Water and Sewer Authority ABSTRACT The District of Columbia’s Advanced Wastewater Treatment Plant at Blue Plains is a 370-mgd facility that provides wastewater treatment for over 2 million people in Washington, DC and surrounding jurisdictions in Maryland and Virginia. Blue Plains receives combined sewer flows that originate in the District’s combined sewer system. Two separate activated sludge processes provide removal of BOD and nitrogen. The DC Water and Sewer Authority (WASA) is evaluating enhanced nutrient removal options for Blue Plains to meet the future more stringent nutrient limits of the Chesapeake Bay Program. Providing ENR at a combined sewer plant is challenging given the operational changes implemented during wet weather events This paper focuses on the impact of the wet weather operation on nitrogen removal performance. The plant’s biological processes are routinely operated in plug flow mode. When wet weather events are anticipated, the plant converts the secondary and the nitrification/denitrification reactors to step feed modes to avoid solids washout from the clarifiers. A wet weather operation model, using the BIOWIN process model, was developed to simulate the impact of the wet weather operations on total nitrogen removal during a severe storm. Dynamic simulations were used to evaluate the impact of various peaking factors and treatment options for wet weather flows on plant discharge of total nitrogen. The treatment options for combined sewer system storage tunnel pump-out included processing through the complete treatment system and through a new wet weather treatment system KEYWORDS Enhanced nutrient removal, wet weather operations, dynamic process modeling, CSO treatment INTRODUCTION The District of Columbia Water and Sewer Authority (WASA) owns and operates the Advanced Wastewater Treatment Plant at Blue Plains in Washington, D.C. Blue Plains provides treatment to combined sewer and sanitary flows from the District of Columbia and sanitary flows from Fairfax County and Loudoun County in Northern Virginia, and Montgomery County and Prince Georges County in Maryland. Blue Plains is designed to treat an average daily flow of 370 mgd, a peak flow to the advanced treatment system of 740 mgd, and a peak plant flow of 1,076 mgd. 6760 WEFTEC®.06 Copyright 2006 Water Environment Foundation. All Rights Reserved ©

Transcript of DYNAMIC MODELING OF WET WEATHER OPERATIONS AT …reactors to step feed modes to avoid solids washout...

Page 1: DYNAMIC MODELING OF WET WEATHER OPERATIONS AT …reactors to step feed modes to avoid solids washout from the clarifiers. A wet weather operation model, using the BIOWIN process model,

DYNAMIC MODELING OF WET WEATHER OPERATIONS AT BLUE PLAINS ADVANCED WASTEWATER TREATMENT PLANT

E. Locke,* A. Al-Omari,* K.Kharkar,* N. Passarelli*

A. Tesfaye,** S.Kharkar,** *Metcalf & Eddy, Inc.

5000 Overlook Ave, SW Washington, DC 20032

**DC Water and Sewer Authority

ABSTRACT The District of Columbia’s Advanced Wastewater Treatment Plant at Blue Plains is a 370-mgd facility that provides wastewater treatment for over 2 million people in Washington, DC and surrounding jurisdictions in Maryland and Virginia. Blue Plains receives combined sewer flows that originate in the District’s combined sewer system. Two separate activated sludge processes provide removal of BOD and nitrogen. The DC Water and Sewer Authority (WASA) is evaluating enhanced nutrient removal options for Blue Plains to meet the future more stringent nutrient limits of the Chesapeake Bay Program. Providing ENR at a combined sewer plant is challenging given the operational changes implemented during wet weather events This paper focuses on the impact of the wet weather operation on nitrogen removal performance. The plant’s biological processes are routinely operated in plug flow mode. When wet weather events are anticipated, the plant converts the secondary and the nitrification/denitrification reactors to step feed modes to avoid solids washout from the clarifiers. A wet weather operation model, using the BIOWIN process model, was developed to simulate the impact of the wet weather operations on total nitrogen removal during a severe storm. Dynamic simulations were used to evaluate the impact of various peaking factors and treatment options for wet weather flows on plant discharge of total nitrogen. The treatment options for combined sewer system storage tunnel pump-out included processing through the complete treatment system and through a new wet weather treatment system KEYWORDS Enhanced nutrient removal, wet weather operations, dynamic process modeling, CSO treatment INTRODUCTION The District of Columbia Water and Sewer Authority (WASA) owns and operates the Advanced Wastewater Treatment Plant at Blue Plains in Washington, D.C. Blue Plains provides treatment to combined sewer and sanitary flows from the District of Columbia and sanitary flows from Fairfax County and Loudoun County in Northern Virginia, and Montgomery County and Prince Georges County in Maryland. Blue Plains is designed to treat an average daily flow of 370 mgd, a peak flow to the advanced treatment system of 740 mgd, and a peak plant flow of 1,076 mgd.

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The plant, which has a two-sludge process, was designed for nitrification of wastewater flows. In 2000, WASA met the requirements of the Chesapeake Bay Program to remove nitrogen to meet a total nitrogen goal of not greater than 8,467,200 pounds per year (equivalent to a concentration of 7.5 mg/l at 370 mgd) by utilizing a portion of the nitrification reactors for biological nutrient removal (BNR). The last 2 of the 5 stages in each nitrification reactor were converted to anoxic stages and methanol was added ahead of Stage 4. This conversion to BNR was successful but it significantly reduced the factor of safety in meeting the plant’s NPDES permit. WASA is now faced with complying with two regulatory initiatives that will require significant capital investment to provide a treatment facility that can routinely meet its permit. WASA has completed a Long Term Control Plan that calls for construction of a tunnel system to capture 193 million gallons of combined sewer flows. The plan calls for treating this captured flow at Blue Plains after the storm flows to the plant subside. WASA also must comply with the new requirements of the Chesapeake Bay Program that call for a total annual nitrogen loading limit from Blue Plains of 4,766,000 pounds (4.2 mg/l). To meet the combined requirements of these initiatives in a cost-effective manner, WASA has conducted strategic process engineering planning to identify process alternatives that can meet the reduced TN requirements while at the same time treating increased wet weather flows. As part of the strategic planning, WASA developed a process simulation model using BIOWIN to evaluate process options. This model was developed and calibrated with the assistance of Envirosim, the model’s developer. The model was used in the steady-state mode to predict monthly effluent TN discharge levels for the various process options. These were used to predict annual TN discharge performance. However the process development showed two wet weather impacts that must be accounted for when developing a strategy for ENR at a CSO plant. The first impact is infiltration during wet hydrologic years. Historically, infiltration from the plant’s entire service area has increased plant influent flows by as much as 50 mgd for a significant period. The second impact is plant performance during and after a significant wet weather event. Blue Plains has the ability to operate the two biological processes in various step-feed modes during a storm to prevent solids washouts. These modes are used to store solids in portions of the reactors until the plant flow subsides and then the stored solids are gradually fed back to the main process. This paper describes the dynamic process modeling used to evaluate the impact of a wet weather event and the use of these solids storage modes on effluent TN performance for various process alternatives. Blue Plains Process Flow Diagram The plant’s process flow diagram is shown on Figure 1. The plant liquid treatment processes consist of preliminary treatment, primary treatment, secondary treatment, nitrification, denitrification, effluent filtration, and chlorination/dechlorination. Chemical phosphorous removal is provided in the primary and secondary treatment processes.

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Figure 1 Process Flow Diagram for Liquid Treatment Processes at Blue Plains

SCREENING

GRIT REMOVAL

SECONDARY TREATMENT

NITRIFICATION/ DENITRIFICATION

FILTRATION & DISINFECTION

EXCESS FLOW

DISINFECTION

POTOMAC RIVER OUTFALL 001

POTOMAC RIVER OUTFALL 002

Blue Plains Permitted Flows Plant influent flows up to 511 mgd require treatment through all the liquid treatment processes at all times. During wet weather events, when the plant influent flow rate exceeds 511 mgd, the plant must treat influent flows up to a rate of 740 mgd through all processes for four hours. After four hours, the flow to the complete treatment system can be reduced to 511 mgd for the remainder of the wet weather event. For influent flows above 740 mgd, or above 511 mgd after the first four hours of a storm, primary treatment and chlorination/dechlorination are required for an additional 336 mgd. The portion of plant influent flows that do not receive treatment through all the liquid treatment processes are called excess flow. The permitted flow conditions are summarized in Table 1.

Table 1 Blue Plains AWTP Permitted Flow Requirements

2003-20081 First 4 Hours

during Wet

Weather2

After the First 4 Hours and

during normal conditions

Average Annual Daily Flow (ADF) 370 mgd Maximum plant influent 1076 mgd 847 mgd Maximum flow through all liquid treatment processes 740 mgd 511 mgd Maximum flow through primary treatment, chlorination and dechlorination and discharged through outfall 001 (Excess Flow)

336 mgd 336 mgd

1Does not include special provisions for conditions during construction of major unit processes. 2 Four consecutive hours after the plant influent flow exceeds 511 mgd. PLANT OPERATIONS RESPONSE TO A WET WEATHER EVENT The plant’s two biological processes are controlled by sludge wasting rate and the biological mass cannot be adjusted in a matter of hours; rather it takes days for the secondary process and weeks for the nitrification/denitrification process. For that reason, the mixed liquor is

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consistently maintained at the level that would be required to prevent washout of the sludge in the sedimentation basins at the peak flow rate defined in the permit. Preparation for a Storm Event The capacity of the sedimentation basins to handle peak wet weather flows depends on the settling characteristics of the mixed liquor. Plant operators measure the rate at which the sludge settles on a daily basis. When a wet weather event is predicted, the number of reactors that are switched into various wet weather modes depends on the projected storm intensity and how well the sludge is settling. The intent of the wet weather modes is to hold some solids in the reactors to prevent overloading the sedimentation basins and consequent solids washout. For the secondary reactors, approximately 12 hours before the projected peak flow is to arrive at the plant, the influent gate to Pass 1 is closed and secondary influent is fed to passes 2, 3 and 4. Figure 2 shows the operating modes for the secondary reactors. For the nitrification/denitrification reactors, if the settling rate is poor and a major storm is predicted, up to 6 reactors are placed in return only operating mode and 6 reactors are placed in wet weather operating mode. The return only mode stores return sludge, which continues to be fed to the reactor. Since no secondary effluent is fed to the reactor, the reactor is essentially off line and provides no nitrification or denitrification. In wet weather operating mode, the influent gate to Stage 1 of the reactor is closed, return sludge continues to be fed to Stage 1, and all of the secondary effluent is fed into Stage 2. As sludge is stored in Stage 1, the capacity of the reactor to nitrify and denitrify is reduced. Figure 3 shows the operating modes for the nitrification/denitrification reactors. Lingering Affects of a Storm Event. After the peak flow subsides, pairs of secondary reactors are put back into normal operating mode every 8 hours. The reason for placing the reactors back slowly is to prevent overloading the sedimentation basins with the solids that were stored in the reactors during the storm. In the nitrification/denitrification process, once the storm is over and lower flows are projected for more than a day, the 6 reactors that are in return only mode are placed in wet weather mode, 2 at a time (one odd and one even) over a 24-hour period. Once all the reactors are in wet weather mode and no storms are predicted, pairs of reactors (one even, one odd) are placed in normal mode every 8 hours. It is noted that it takes 3 days after a major storm to get the 6 reactors in return only mode back in wet weather mode and another 2 days to return all of the 12 reactors to dry weather mode. The LTCP calls for Blue Plains to operate at a sustained high flow rate of 450 mgd after the storm has passed to empty the tunnel. The CSS tunnel pump out rate would be adjusted so that the plant influent flow would not exceed a rate of 450 mgd. The projected time to empty the combined sewer tunnels, which is the period of sustained high flow, is 59 hours. If the tunnel pump-out is treated by the enhanced clarification facility rather than the nitrification/denitrification system, the time to return the nitrification/ denitrification reactors to

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normal mode would be reduced. The operational strategy of returning the process from wet weather mode to normal mode was used in development of the model.

Figure 2 Operating Modes for Secondary System

Wet Weather Operating Mode (WOM)

1

3

4

2

RAS

All Primary Effluent

To Secondary Clarifiers

3

4

2

RAS Primary Effluent

To Secondary Clarifiers

1 Solids holding zone

Primary Effluent

Primary Effluent

Normal Operating Mode (NOM)

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Figure 3 Operating Modes for BNR System

Secondary Effluent

1 2 3 4 5

RAS

Normal Operating Mode (NOM)

Secondary Effluent

3 4 5 RAS 2 1

Solids holding

zone

Wet Weather Operating Mode (WOM)

3 4 5

RAS

1 2

Solids holding

Tank

NO Secondary Effluent

Return Only Operating Mode (ROM)

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DEVELOPMENT OF ALTERNATIVES FOR MODELING Upgrading Blue Plains for higher levels of nutrient removal requires evaluation of the entire treatment system. WASA has evaluated the impact of wet weather flows on the plant’s primary treatment process and the two biological treatment processes. This evaluation has shown that all of these processes have limited clarifier capacity that would impact the plant’s ability to achieve higher nitrogen removal, especially during wet weather events. As previously noted, excess storm flow above 740 mgd receives primary treatment, chlorination, and dechlorination prior to discharge through a CSO related bypass outfall. The primary treatment process can provide TSS removals of 50% up to 740 mgd, but the process is overloaded when flows exceed 740 mgd. To reduce peak loading to the primary process an enhanced clarification facility has been proposed. This new wet weather treatment system would use a ballasted flocculation process and would be sized to handle 336 mgd, thus limiting peak flows to the primary process to 740 mgd. The plant’s biological treatment processes also require evaluation because the nutrient removal process is more sensitive to excursions of high solids and BOD loading than the secondary treatment process. WASA had previously determined that secondary effluent total suspended solids (TSS) levels should be maintained below 20 mg/l to assure consistent nutrient removal performance to achieve the Chesapeake Bay Program (CBP) annual average goal of 7.5 mg/l of total nitrogen (TN) in the plant effluent. For Blue Plains to achieve annual average effluent TN levels of 4.2 mg/l down to 3 mg/l makes this secondary effluent target even more critical. An analysis of secondary clarifier capacity showed that it is limited to 555 mgd, while the current permit requires a peak flow of 740 mgd to this process. Accordingly, WASA has developed alternatives that would limit peak flows to the biological processes to 555 mgd. For these alternatives, the flow at rates greater than 555 mgd would be treated in an enhanced clarification facility. Therefore, the required size of the enhanced clarification facility would be increased from 336 mgd to 521 mgd to accommodate treatment of high flows that would not flow to the biological processes. Limiting the peak flow to the biological processes would result in more stable processes and the ability to operate them at higher mixed liquor suspended solids levels. The alternatives just described, i.e. building a separate wet weather treatment system and reducing peak flows to the biological processes, address treatment issues during a storm event. The District’s Long Term Control Plan (LTCP) could impact nutrient removal after storm flows subside. The LTCP includes a tunnel system to store 193 million gallons of combined sewer flow. The stored flows will be pumped from the tunnels and delivered to Blue Plains after the storm when the influent flow to the plant falls below 450 mgd. The LTCP calls for dewatering the tunnels over a 59-hour period. In an average hydrologic year, an additional 1,831 million gallons will be delivered to the plant from the tunnels. On an average annual basis, this is 5 mgd. More importantly for nutrient removal considerations, pump out of the tunnels will extend the duration of sustained high flows to the plant and increase the period of recovery needed for the biological processes. WASA has thus explored the option of pumping the tunnel contents to the new enhanced clarification facility instead of to the biological processes.

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Figure 4 shows the variation in flow for each of the four alternatives. There are two variations for treatment of combined sewer storage tunnel pump-out and two variations for peak flow ratio. Alternatives with a number “1” include treatment of tunnel pump-out through the biological processes once the storm flow subsides while the alternatives with the number “2” include treatment of tunnel pump-out through the enhanced clarification facility. A peak flow ratio is the ratio between average annual plant influent flow and peak flow rate through biological processes. Alternatives with the letter “a” include a peak flow ratio equal to 2.0 while the alternatives with the letter “b” include a peak flow ratio equal to 1.5.

PROJECTED HOURLY FLOWS FOR MODELING During development of the LTCP, WASA developed a computer model to simulate flows in the collection system that will arrive at Blue Plains under a variety of hydrologic conditions. This model was used to predict hourly plant influent flow for a 3-year period (wet year, dry year and average year) for the 370 mgd rated capacity of Blue Plains. The wet weather event with the largest peak, i.e. September 26 of the second year would include 7 hours of influent flow above the rate of 555 mgd. May, the wettest month of that year, would have 17 wet weather events (defined as plant influent hourly rate greater than 511 mgd) ranging in duration from 1 hour to 22 hours. Figure 5 shows the 10-day period selected for dynamic modeling. It is important to note that wet weather flows comprise a small portion of the total annual plant influent flow. Specifically, 93 percent of the time, the hourly influent is less than 511 mgd, 97 percent of the time it is less than 555 mgd and 99 percent of the time it is less than 740 mgd. Perhaps more importantly, for the average of the 3 years the flows above 511 mgd comprise 11 percent of the total plant influent flow volume, while the flows above 555 mgd are less than 1 percent of the total influent flow volume. Clearly, wet weather events comprise a small portion of the annual plant influent flow but have a dramatic impact on the operation of the plant’s biological processes.

Figure 5. Projected Blue Plains Hourly Influent Flow for a 2-week period in May

Plant Influent hourly Flows

0100200

300400500600700

800900

1000

0 24 48 72 96 120 144 168 192 216 240 264 288 312 336 360Time, hrs

Flow

, MG

D

Hourly f low s

Moving daily f low s

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Figure 4 Alternatives for BioWin Modeling

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=336 MGD

Alternative 1.a

POTOMAC RIVEROUTFALL 002

PEAK FLOW=740 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=336 MGD

Alternative 2.a

POTOMAC RIVEROUTFALL 002

PEAK FLOW=740 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=521 MGD

Alternative 1.b

POTOMAC RIVEROUTFALL 002

PEAK FLOW=555 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=521 MGD

Alternative 2.b

POTOMAC RIVEROUTFALL 002

PEAK FLOW=555 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=336 MGD

Alternative 1.a

POTOMAC RIVEROUTFALL 002

PEAK FLOW=740 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=336 MGD

Alternative 1.a

POTOMAC RIVEROUTFALL 002

PEAK FLOW=740 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=336 MGD

Alternative 2.a

POTOMAC RIVEROUTFALL 002

PEAK FLOW=740 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=521 MGD

Alternative 1.b

POTOMAC RIVEROUTFALL 002

PEAK FLOW=555 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=521 MGD

Alternative 1.b

POTOMAC RIVEROUTFALL 002

PEAK FLOW=555 MGD

TPO

SCREENINGGRIT

REMOVALPRIMARY

TREATMENTSECONDARYTREATMENT

NITRIFICATION/DENITRIFICATION

FILTRATION &DISINFECTION

EXCESSFLOW ENHANCED

CLARIFICATIONDISINFECTION

POTOMAC RIVEROUTFALL 001

PEAK FLOW=521 MGD

Alternative 2.b

POTOMAC RIVEROUTFALL 002

PEAK FLOW=555 MGD

TPO

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WET WEATHER OPERATION MODEL A wet weather operation model was developed using the calibrated BioWin plant model to simulate the effect of wet weather events on nitrogen removal. The model was constructed with sufficient detail in the biological reactors to accurately simulate the plant operational response, as previously described. Figure 6 shows the configuration of the plant that was used in the dynamic simulation of wet weather operations. The temperature selected was 15 oC, which is the average temperature for May, the month during which the storm was predicted. The process model was used to evaluate the treatment performance for four scenarios to reflect different peaking factors for complete treatment, as well as treatment options for the CSS tunnel pump out. The scenarios result in different peak flows through complete treatment as well as different durations of sustained high flow. In each scenario, all dry weather flow receives complete treatment. For the first four hours after the plant influent flow exceeds 511 mgd the plant must process up to 740 mgd (peaking factor (PF) of 2.0) through the complete treatment process. Plant influent flows above those that are provided complete treatment are called excess flow and will be treated in an Enhanced Clarification Facility and discharged to the river via Outfall 001. Enhanced clarification will use a ballasted flocculation process that is effective in removing particulate matter from the wastewater. The process is appropriate for treatment of wet weather flows because it takes a short time to initiate. An ideal clarifier was used in the model to mimic the expected performance of the enhanced clarification system The Long Term Control Plan calls for pumping flows out of the CSS tunnel into the collection system to provide complete treatment at Blue Plains after the storm event. The tunnel-pump-out (TPO) would occur over 59 hours to ensure that the plant influent flow did not exceed 450 mgd. An alternative scenario would pump the CSS tunnel contents directly to the enhanced clarification facility for treatment and discharge through Outfall 001. This scenario allows emptying the tunnel in a shorter period of time because the pump out rate is not constrained by the plant influent flow rate. The following four scenarios were evaluated:

1- The excess flow is treated in an Enhanced Clarification Facility (ECF) and discharged

to Outfall 001, and the remaining flow, including CSS tunnel-pump-out (TPO), is treated through complete treatment and discharged to Outfall 002. Two flow scenarios were evaluated:

a. Peak 4-hr flow to the biological processes = 740 MGD; PF = 2.0, and TPO

through Outfall 002 b. Peak 4-hr flow to the biological processes = 555 MGD; PF = 1.5, and TPO

through Outfall 002.

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Figure 6. Wet Weather Operation Model of Blue Plains AWTP Configuration in BioWin Ferric EPI

WPL ES

ES Clarifiers

Ferric WPI

WS_WPL

Nit1,2_P-5b

MeOH

Nit Clrifiers 002

Normal EPI

Normal WPI

Caustic

Nit1,2_P-4Nit1,2_P-1 Nit1,2_P-2

W1,2_P-1 W1,2_P-2 W1,2_P-3 W1,2_P-4

East Primary

West Primary

Blend 1Blend 3

Filter

GT

WS Clarifiers

Nit1,2_P-3

Dig. Inf

E3,4_P-1 E3,4_P-2

E3,4_P-3A

E3,4_P-3B

E5,6_P-1 E5,6_P-2 E5,6_P-3 E5,6_P-4 Nit3,4_P-1 Nit3,4_P-2 Nit3,4_P-3 Nit3,4_P-4 Nit3,4_P-5b

Nit5,6_P-1 Nit5,6_P-2 Nit5,6_P-3 Nit5,6_P-4 Nit5,6_P-5b

Nit7,8_P-1 Nit7,8_P-2 Nit7,8_P-3 Nit7,8_P-4 Nit7,8_P-5b

Nit9,10_P-1 Nit9,10_P-2 Nit9,10_P-3 Nit9,10_P-4 Nit9,10_P-5b

Nit11,12_P-1 Nit11,12_P-2 Nit11,12_P-3 Nit11,12_P-4 Nit11,12_P-5b

ML ChannelNit1,2_P-5a

Nit3,4_P-5a

Nit5,6_P-5a

Nit7,8_P-5a

Nit9,10_P-5a

Nit11,12_P-5a

001

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2- The excess flow is treated in the ECF and discharged to Outfall 001, and the remaining flow is treated through complete treatment and discharged to Outfall 002. The tunnel-pump-out flow is treated in the ECF and discharged through Outfall 001. Two flow scenarios were evaluated:

a. Peak 4-hr flow to the biological processes = 740 MGD; PF = 2.0, and TPO

through Outfall 001 b. Peak 4-hr flow to the biological processes = 555 MGD; PF = 1.5, and TPO

through Outfall 001 The operational modes both preceding and after a wet weather event are also important to consider. The operations can be classified into 3 phases:

1. Dry Weather – Phase 1 2. Wet Weather – Phase 2 3. Recovery – Phase 3

Table 2 presents the operational modes associated with each phase for the secondary and nitrification/denitrification reactors for the four scenarios. Figure 7 shows the switching of the 12 nitrification/ denitrification reactors over time from Phase 1 through Phase 3. Phase 1 is the normal dry weather flow mode. The model begins with 1 day of normal dry weather flow (i.e., 370 mgd). Phase 2 comprises the wet weather event during which reactors are switched into wet weather mode to hold solids in the reactors to prevent washout. The 5-day wet weather period includes instances of plant influent peak flows, followed by several days of sustained plant influent at a rate of 450 mgd. Phase 3, the recovery phase, begins when the wet weather event has ended and the combined sewer storage tunnel has been pumped-out. The recovery phase entails switching the reactors from the wet weather modes back to dry weather modes. For purposes of modeling, normal flow (i.e., 370 mgd) was assumed for the 4-day recovery period Figures 8 and 9 show the wastewater flow through the biological processes for the 10 days simulated in the model for Scenario 1. Specifically, Figure 8 corresponds to Scenario 1.a, the current 4-hour maximum peak flow rate of 740 mgd (PF=2.0) while Figure 9 corresponds to Scenario 1.b, the proposed 4-hour maximum peak flow rate of 555 mgd (PF=1.5)

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Table 2. Operation Modes for Process Modeling Simulations for the Wet Weather Flow Scenarios

Phase 1: Dry weather phase Phase 2: Wet weather phase Phase 3: Recovery phase

Scenario 1.a PF = 2.0

(TPO to 002)

Scenario 1.b PF = 1.5

(TPO to 002)

Scenario2.a PF = 2.0

(TPO to 001)

Scenario2.b PF = 2.0

(TPO to 001)

Scenario 1.a PF = 2.0

(TPO to 002)

Scenario 1.b PF = 1.5

(TPO to 002)

Scenario2.a PF = 2.0

(TPO to 001)

Scenario2.b PF = 2.0

(TPO to 001)

Scenario 1.a PF = 2.0

(TPO to 002)

Scenario 1.b PF = 1.5

(TPO to 002)

Scenario2.a PF = 2.0

(TPO to 001)

Scenario2.b PF = 2.0

(TPO to 001)

East Secondary Process – Reactors 3&4 NOM – EPE to stage1, RAS to stage1

NOM – EPE to stage1, RAS to stage1

NOM – EPE to stage1, RAS to stage1

NOM – EPE to stage1, RAS to stage1

WOM – EPE to stages 3a & 3b, RAS to stage1

WOM – EPE to stages 3a & 3b, RAS to stage1

WOM – EPE to stages 3a & 3b, RAS to stage1

WOM – EPE to stages 3a & 3b, RAS to stage1

Back to NOM

Back to NOM

Back to NOM

Back to NOM

East Secondary Process – Reactors 5&6 NOM – EPE to stage1, RAS to stage1

NOM – EPE to stage1, RAS to stage1

NOM – EPE to stage1, RAS to stage1

NOM – EPE to stage1, RAS to stage1

WOM – EPE to stage2, RAS to stage1

WOM – EPE to stage2, RAS to stage1

WOM – EPE to stage2, RAS to stage1

WOM – EPE to stage2, RAS to stage1

Back to NOM Back to NOM Back to NOM Back to NOM

West Secondary Process – Reactors 1&2 NOM – WPE is step-fed to stages1 through4, RAS to stage1

NOM – WPE is step-fed to stages1 through4, RAS to stage1

NOM – WPE is step-fed to stages1 through4, RAS to stage1

NOM – WPE is step-fed to stages1 through4, RAS to stage1

WOM – WPE is step-fed to stages 3 & 4, RAS to stage1

WOM – WPE is step-fed to stages 3 & 4, RAS to stage1

WOM – WPE is step-fed to stages 3 & 4, RAS to stage1

WOM – WPE is step-fed to stages 3 & 4, RAS to stage1

Back to NOM Back to NOM Back to NOM Back to NOM

Nitrification/Denitrification Process – Reactors (1 – 12) NOM – SE to stage1, RAS to stage1

NOM – SE to stage1, RAS to stage1

NOM – SE to stage1, RAS to stage1

NOM – SE to stage1, RAS to stage1

6 reactors in ROM – No SE, RAS to stage1 & 6 reactors in WOM – SE to stage2, RAS to stage1

All reactors in WOM – SE to stage2, RAS to stage1

6 reactors in ROM – No SE, RAS to stage1 & 6 reactors in WOM – SE to stage2, RAS to stage1

All reactors in WOM – SE to stage2, RAS to stage1

6_ROM reactors back to WOM – 2 reactors every 24 hrs Then 12_WOM reactors back to NOM – 2 reactors every 8 hrs after sustained flows are over

12_WOM reactors back to NOM – 2 reactors every 8 hrs after sustained flows are over

6_ROM reactors back to NOM – 2 reactors every 24 hrs & 6_WOM reactors back to NOM – 2 reactors every 8 hrs

12_WOM reactors back to NOM – 2 reactors every 8 hrs after sustained flows are over

NOM = Normal Operation Mode; WOM = Wet weather Operation Mode; ROM = Return only Operation Mode; EPE = East Primary Effluent; WPE = West Primary Effluent; SE = Secondary Effluent; RAS = Return Activated Sludge

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Figure 7. Number of Nitrification/Denitrification Reactors by Mode over Time

Nit./Denit. Reactors Operating ChartPF = 2.0/TPO to 002

0

2

4

6

8

10

12

0 1 2 3 4 5 6 7 8 9 10

days

NO

. of R

eact

ors

NOMWOMROM

Normal Mode

Wet Weather Mode

Return Only Mode

Nit./Denit. Reactors Operating ChartPF = 2.0/TPO to 001

0

2

4

6

8

10

12

0 1 2 3 4 5 6 7 8 9 10

days

NO

. of R

eact

ors

Normal Mode

Wet Weather Mode

Return Only Mode

Nit./Denit. Reactors Operating Chart

PF = 1.5/TPO to 002

0

2

4

6

8

10

12

0 1 2 3 4 5 6 7 8 9 10

days

NO

. of R

eact

ors

NOMWOMROM

Normal Mode

Wet Weather Mode

Return Only Mode

Nit./Denit. Reactors Operating ChartPF = 1.5/TPO to 001

0

2

4

6

8

10

12

0 1 2 3 4 5 6 7 8 9 10

days

NO

. of R

eact

ors

Normal Mode

Wet Weather Mode

Return Only Mode

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Figure 8. Scenario 1.a PF=2.0 TPO via 002 Wastewater Flow

AWTP at Blue PlainsTreatment Capacity at 4-Hour Peaking Factor 2.0

0

100

200

300

400

500

600

700

800

900

1000

1100

0 1 2 3 4 5 6 7 8 9 10

Day

Flow

Rat

e (m

gd)

Treatment Plant Capacity via Outfalls 001 & 002 Flow through 001Maximum Permitted Flow via Outfall 002 Flow through 002

Flow out CSO 003

Excess Flow Treatment Capacity=336 mgd

Phase 1Dry/

Normal Weather

Phase 2Wet

Weather

Phase 3Recovery

Phase

Projected Influent Flow> plant capacity

Figure 9. Scenario 1.b PF=1.5 TPO via 002 Wastewater Flow

AWTP at Blue PlainsTreatment Capacity at 4-Hour Peaking Factor 1.5

0

100

200

300

400

500

600

700

800

900

1000

1100

0 1 2 3 4 5 6 7 8 9 10

Day

Flow

Rat

e (m

gd)

Treatment Plant Capacity via Outfalls 001 and 002 Flow through 001Maximum Permitted Flow via Outfall 002 Flow through 002

Excess Flow Treatment Capacity=521 mgd

Phase 1Dry/

Normal Weather

Phase 2Wet

Weather

Phase 3Recovery

Phase

(Note: Other CSS conveyance options may not require 521 mgd Excess Flow capacity)

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DYNAMIC SIMULATION RESULTS – TN DISCHARGES Scenario 1.a: 4-hour Peaking Factor = 2.0, TPO to 002 Figure 10 shows the results of the modeling run for TN discharge loads through Outfall 002 and Outfall 001 during the simulation period. The time increments are 4 hours and the load is shown in the rate of pounds per day (lb/d). In the initial dry weather mode, the plant operated at 370 MGD and the effluent TN loading from Outfall 002 was approximately 11,600 lbs/d. During the wet weather event, the TN discharge through Outfall 002 significantly increased due to reducing nitrification capacity as a result of switching some of the nitrification/denitrification reactors and stages into solids holding tanks. In addition, the TN discharged remained high because sustained high flows from emptying the tunnels after the wet weather event extended the time required to switch reactors back to normal operation. The plant performance was slowly improving as reactors were switched back from return only to wet weather operation and eventually to dry weather operation. A total of 263,000 pounds of TN were discharged from Outfalls 001 and 002 over the simulated 10-day period. The peak nitrogen load shown corresponds to a maximum effluent TN concentration of approximately 10 mg/l from the nitrification/denitrifcation system.

Figure 10. Nitrogen Discharged Via Outfalls 001 and 002 for Scenario 1.a

TN Discharge Loadings

PF = 2.0/TPO to 002

0

10000

20000

30000

40000

50000

60000

0 1 2 3 4 5 6 7 8 9 10

Time, days

lb/d

002, TN = 247,000 lb

001, TN = 16,000 lb

The TN discharged through Outfall 001 during the wet weather event was approximately 16,000 pounds while the TN discharged through Outfall 002 during the 10 days of simulation was approximately 247,000 pounds. If wet weather had not occurred, the plant TN discharge would have been 116,000 pounds from Outfall 002. An estimated additional 131,000 pounds of TN was discharged via Outfall 002 as a result of the wet weather event. As expected, total nitrogen load increased as the flow through the system increased. The treated excess flow during the storms (days 2 and 3 on Figure 10) resulted in a nitrogen load to the river from Outfall 001 only during the wet weather event and the loads were directly proportional to flow discharged.

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On the other hand, the variation in total nitrogen discharged from Outfall 002 was related to cascading effects of the wet weather event. Prior to the storm, the nitrogen concentration from the nitrification/denitrification system increased as reactors were switched to wet-weather and return-only modes. The result of using these modes to store solids was reduced reactor volume and thus reduced capacity to remove nitrogen. Once the wet weather peak reaches the nitrification/denitrification system (day 2 on Figure 10), the nitrogen load increased due to a combination of higher flow and higher concentration. Following the storm, the total nitrogen load discharged through Outfall 002 decreased but remained at higher than normal loads due to the sustained high plant influent flow from the combined sewer storage tunnel pump-out. During the recovery phase (days 8 to 10 on Figure 10), the total nitrogen discharge concentration returned to normal levels as the reactors were sequentially switched back into dry weather mode. Consequently, as the flow and concentration returned to normal levels, the total nitrogen loading to the river also returned to dry weather values.

Scenario 1.b: 4-Hour Peaking Factor = 1.5, TPO to 002 Figure 11 shows the effect of reducing the 4-hour peaking factor from 2.0 to 1.5 (i.e. 740 mgd to 555 mgd) on TN discharge loads through Outfalls 001 and 002. As shown on the figure, the TN load through Outfall 002 for the simulation period was reduced to a total of 195,000 pounds. The reduction of the peak flow through the nitrification/denitrification process enabled the plant to maintain more process reactor capacity on-line to remove nitrogen during wet weather.

Figure 11. Nitrogen Discharged Via Outfalls 001 and 002 for Scenario 1.b

TN Discharge Loadings

PF = 1.5/TPO to 002

0

10000

20000

30000

40000

50000

60000

0 1 2 3 4 5 6 7 8 9 10

Time, days

lb/d

002, TN = 195,000 lb

001, TN = 19,000 lb

Despite the fact that TN load through Outfall 001 increased to 19,000 pounds, as compared to 16,000 pounds for Scenario 1.a, the total TN discharged through Outfalls 001 and 002 was approximately 49,000 pounds less than Scenario 1.a. The positive effect of reducing the 4-hour peaking factor from 2.0 to 1.5 on process performance is observed in the TN values. The maximum effluent TN concentration from the nitrification/denitrification system dropped from approximately 10 mg/l to approximately 7.5 mg N/L.

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The patterns of nitrogen loading in scenarios 1.a and 1.b were similar. That is, the nitrogen discharge through Outfall 001 increases in direct proportion to excess flow during the peak wet weather while the nitrogen discharge through Outfall 002 varies through the wet weather and recovery phases. Scenario 1.b yielded a greater total nitrogen load to the river through Outfall 001 than Scenario 1.a due to the increased excess flow volume. On the other hand, the TN discharge from Outfall 002 for Scenario 1.b was less than for Scenario 1.a because the nitrification/denitrification system was more stable due to the reduction in peak flow through the system. Prior to the storm, the nitrogen concentration from the nitrification/denitrification system increased because the twelve reactors were switched to wet-weather modes, as opposed to switching six of the reactors to return only mode, as required to handle the 740 mgd peak. As described previously illustrated in Figure 3, the return only mode prevents overloading the sedimentation basins, which, while protecting the overall process, reduces the process reactor capacity and results in reduced nitrogen removal capacity. During the storm, when the peak flow reached the nitrification/denitrification system, the nitrogen load through Outfall 002 increased due to a combination of higher flow and higher nitrogen concentration. However, the difference between Scenario 1.a and Scenario 1.b (Figures 10 and 11) is that both the peak flow and the peak concentration are less for the reduced peak flow and therefore the peak nitrogen load is significantly less. Following the storm, the reactors remained in wet weather operation to handle the sustained high flow to Blue Plains from pump-out of the CSS storage tunnels. During this period, the total nitrogen load discharged through Outfall 002 was directly proportional to the flow. During the recovery phase (days 8 to 10 on Figure 7), the total nitrogen discharge concentration returns to normal levels as the reactors were sequentially switched back into normal dry weather mode. Consequently, as the flow and concentration returned to normal levels, the total nitrogen loading to the river also returned to dry weather values.

Scenario 2.a: 4-Hour Peaking Factor = 2.0, TPO to ECF & 001 The hourly plant influent flows used for Scenario 1 included flow from the CSS tunnel pump-out (TPO) in the plant influent flow after the storm event as this flow was routed through complete treatment. Scenario 2 removes the TPO from the plant influent flow and directs the TPO flow to an enhanced clarification facility with discharge via Outfall 001. Figure 12 shows the total plant influent hourly flows used for modeling Scenario 2. Specifically, for Scenario 2, after the wet weather event (between day 4 and day 6), the flow rate through the nitrification/denitrification system was variable and averaged approximately 400 mgd while the flow rate during the same period for Scenario 1 remained constant at 450 mgd.

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Figure 12. Plant Influent Flows used to Model Scenarios 2.a and 2.b

Plant Influent hourly Flow(WWO Model Input)

0100200300400500600700800900

1000

0 2 4 6 8 10

Days

Flow

, MG

D

The TN discharge loads through the plant Outfalls 001 and 002 are shown on Figure 13 for Scenario 2.a. Scenario 2.a assumes a 4-hour peak flow rate through complete treatment of 740 mgd (PF of 2.0) and treatment of TPO through enhanced clarification and discharged through Outfall 001. A total TN load of approximately 240,000 pounds was discharged to the river during the 10 day simulation period. This equates to 23,000 pounds less of TN load discharged to the river compared to Scenario 1.a. because the biological process was able to recover from the wet weather event more quickly due to the reduced sustained high flows from the TPO. Figure 13. Nitrogen Discharged Via Outfalls 001 and 002 for Scenario 2.a.

TN Discharge LoadingsPF = 2.0/TPO to 001

0

10000

20000

30000

40000

50000

60000

0 1 2 3 4 5 6 7 8 9 10

Time, days

lb/d

002, TN = 222,000 lb

001, TN = 18,000 lb

The effluent TN load through Outfall 001 increased by 2,000 pounds over Scenario 1.a, as a result of treating the TPO in the enhanced clarification facility, while the TN load through Outfall 002 was reduced by 25,000 pounds over Scenario 1.a. The nitrogen loading through Outfall 002 prior to and during the wet weather event was the same for Scenario 2.a as for Scenario 1.a because the conditions are the same. The new condition for Scenario 2 is that the

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450 mgd high flow rate is not sustained for two and a half days as it is for Scenario 1. The positive impact on nitrogen removal is shown by TN discharge rate decline in the days following the storm. By day 6, all reactors were in dry weather mode under Scenario 2.a. and the total nitrogen concentration was lower than it was for the same day of Scenario 1.a.

Scenario 2.b: 4-Hour Peaking Factor = 1.5, TPO to ECF & 001 The TN discharge loads through plant Outfalls 001 and 002 are shown on Figure 14 for Scenario 2.b. Scenario 2.b assumes a 4-hour peak flow rate through complete treatment of 555 mgd (peaking factor of 1.5) and treatment of TPO through enhanced clarification and discharge through Outfall 001. A total TN discharge load of approximately 193,000 pounds was discharged to the river through Outfalls 001 and 002 during the simulation period, which was the lowest total load to the river of the four scenarios. Reducing the peaking factor and directing TPO flows to Outfall 001 allowed for a more stable operation and quicker recovery of the biological treatment process from wet weather operations, which reduced the impact of the wet weather event on TN loads to the river through Outfall 002. The patterns of nitrogen loading in scenarios 2.a and 2.b are similar. That is, the nitrogen discharged through Outfall 001 increased in direct proportion to excess flow during the peak wet weather flows and TPO after the wet weather event, while the nitrogen discharged through Outfall 002 varies through the wet weather and recovery phases.

Figure 14. Nitrogen Discharged Via Outfalls 001 and 002 for scenario 2.b

TN Discharge LoadingsPF = 1.5/TPO to 001

0

10000

20000

30000

40000

50000

60000

0 1 2 3 4 5 6 7 8 9 10Time, days

lb/d

002, TN = 172,000 lb

001, TN = 21,000 lb

While Scenario 2.b yielded a greater TN load to the river through Outfall 001 than the other scenarios, this increase was more than offset by the significantly lower TN discharged from Outfall 002 compared to the other scenarios. The nitrification/denitrification system was more stable because of the reduced peaking factor and the system recovered from wet weather event more quickly due to elimination of sustained high flow of 450 mgd. Prior to and during the storm, the nitrogen loading for Scenario 2.b was the same as that for Scenario 1.b because both scenarios reflected the lower peak flow rate of 555 mgd. Following the storm, the pattern of nitrogen load from Outfall 002 is similar to that of Scenario 2.a because

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it is related to switching reactors back into normal mode. However, the estimated load is less because of the reduced peak flow during the wet weather event. During the recovery phase, the total nitrogen discharge concentration returns to normal levels. In each of the scenarios, the TN discharge rate was slightly higher at the end of the dynamic simulation period than at the beginning. Comparing the MLSS concentrations for these two points showed that at the end of the simulation the MLSS concentration was higher than that at the beginning. However, the ratios of the different types of microorganisms (i.e. Heterotrophs, autotrophs, and anoxic methanol degraders) also changed. The model showed a shift in the biomass species where the heterotrophs concentrations increased, and the autotrophs & the anoxic methanol degraders concentrations decreased, which caused a slight degradation in nitrogen removals. The shift may have been due to heterotrophic biomass carry over from the secondary system to the nitrification/denitrification system as a result of the wet weather event.

CONCLUSIONS Table 3 quantifies the TN discharge loads for each scenario. The simulation was performed to illustrate the challenges that wet weather events present at Blue Plains. These numbers are specific to the wet weather event simulated and should not be extrapolated to other events.

Table 3. Predicted Total Nitrogen Discharge to the Potomac River for the Simulated Wet Weather Event

Outfall

Scenario 001

TN (lbs)

002

TN (lbs)

Total Load To River

TN (lbs)

1-a PF = 2.0, TPO to 002 16,000 247,000 263,000 1

1-b PF = 1.5, TPO to 002 19,000 195,000 214,000

2-a PF = 2.0, TPO to 001 18,000 222,000 240,000 2

2-b PF = 1.5, TPO to 001 21,000 172,000 193,000

The following conclusions can be drawn from the modeling results: • Wet weather flows negatively impact TN removal due to limiting the capacity of nitrification

in the Nitrification/Denitrification process. The limitation results from switching some of the stages and entire reactors to solids holding zones. In addition, switching back the reactors to normal operation, i.e. recovery period, is directly related to the magnitude and duration of the plant influent flows through complete treatment. Minimizing peak flows both during and after a storm results in a stable biological process that achieves the highest TN removal.

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• Reducing the plant influent 4-hour peaking flow from 740 MGD (PF=2.0) to 555 MGD (PF=1.5) provides for more on-line process reactor capacity during wet weather, a more stable operation, and a quicker recovery period, which results in significant reduction in the total TN load to the river.

• Treating the tunnel pump out flow separately in an enhanced clarification facility, and then

discharging this flow through Outfall 001 reduces the impact of the high sustained flows after the wet weather event, providing for a quicker recovery period, and hence lower TN loads to the river through Outfall 002.

• Dynamic modeling of wet weather events predicted a significant increase in effluent TN load

over that predicted by steady state modeling that should be accounted for in planning for increased nutrient removal.

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