Study Muddy
Study Muddy

Upload, organize, preview, and share study documents from one clean workspace.

Explore

BrowseAbout UsContact Us

Workspace

UploadDashboard

Legal

Privacy PolicyTerms & ConditionsDisclaimerReport Copyright & Abuse
Study Muddy
DOC·0% (0)·7 views·7 pages

CVEN 5534 Homework 1 Solutions on WWTP Flow and Permits

Solutions for CVEN 5534 Homework 1 covering wastewater treatment plant flow data, ammonia and nitrate permit limits, and fecal coliform analysis.

Category: Engineering

Uploaded by Ethan Walker on Apr 23, 2026

Copyright

© All Rights Reserved

We take content rights seriously. If you suspect this is your content, claim it here.

Available Formats

Download as PDF, TXT or DOCX.

Download PDF
/ 7
100%
7

Document text

1

CVEN 5534, Fall 2011

Homework 1 Solutions

1. a. WWTPs keep record flow data more or less continuously so the average daily influent

flow (“InfAvgFlo”) is the average of the flow measurements throughout a given day. The

maximum daily flow is the highest daily average value over the period of record, and the

average daily flow is the average of all the “InfAvgFlo” measurements reported. The

maximum month average day (MMAD) is the average daily flow during the month with

the highest average daily flow rate. In general plant capacity is rated in influent flow, not

effluent. The reason for this is that plants must be designed to handle influent flow.

Effluent flow rates are lower than influent due to losses of water primarily with sludge

removal. Average daily flow values are used for almost all secondary process unit sizing.

Clarifiers are designed to handle peak flows. For the Longmont WWTP data set

Parameter MGD

Average daily flow 7.1

Maximum daily flow 9.7

MMAD (June) 7.7

Comments: The difference between the average and maximum daily flow are an

indication of a flow peaking factor with a duration of a day or longer and the MMAD is

an indicator of a seasonal peaking factor. The MMAD has been used for secondary

process unit sizing with an hourly peak flow also used in clarifier design. At Longmont,

the difference between the MMAD and the average daily flow is about 10%, indicating

consistent wastewater flows and probably little infiltration/inflow even suring the high

runoff period in June. The average maximum flow (~hourly peak) is 10 MGD, indicating

a short-duration flow peak of 1.43, which is very moderate.

b. Influent COD:TBOD ratio calculated from averages of the measurements of the two

parameters = 2.53, which is about 10 to 70% higher than reported typical values between

1.5 and 2.3. Data for influent COD, tBOD, TSS and COD/BOD ratio are shown below

with trend lines for each series. Correlation between Influent COD and tBOD is weak (R

= 0.432). The ratio of influent COD:tBOD is stronger, R = 0.612; while the correlation

between influent tBOD and the ratio COD:tBOD is actually negative, R = -0.436,

implying that the high COD:tBOD ratio is influenced both by higher COD values and

lower influent tBOD, both of which occur at the end of the sampling period – May and

June. Explanations include either soluble or particulate organic matter in sewage, which

is not rapidly biodegradable under the conditions of a 5-day BOD test. That could be

components like oil and grease from restaurants and cafeterias, industrial wastes like

solvents and degreasers (although hopefully they would not comprise a large fraction of

influent organics). There could be toxic organic compounds that suppress oxygen uptake

2

during the BOD test. Again one would hope not in the concentration that would produce

a lower than actual BOD. One of the students in class last year, Mitch Clement, offered

an interesting hypothesis: that the readily degradable matter in the sewage was degraded

in the sewer before it reached the plant, and supported his explanation by evaluating the

association of the COD:TBOD to flow. That correlation coefficient is positive between

COD:tBOD and the influent flow rate, but not high, R = 0.30. However, the seasonality

of the drop in influent tBOD (in warmer months) supports that biodegradation in the

sewer could be higher due to warmer temperatures.

1 11 21 31 41 51 61 71 81 91 101111121131141151161171181

0

200

400

600

800

1000

1200

1400

1600

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50Inf COD mg/L Moving average (Inf COD mg/L)

Inf tBOD mg/L Moving average (Inf tBOD mg/L)

Inf TSS (mg/L) Moving average (Inf TSS (mg/L))

Inf COD/tBOD Moving average (Inf COD/tBOD)

Inf COD, tBOD, TSS (mg/L)

Inf COD/tBOD

3

c. Graph of total effluent ammonia (NH4-N + NH3-N) daily and 30-day average values are

shown below.

12-18-2008 2-6-2009 3-28-2009 5-17-2009 7-6-2009 8-25-2009

0

1

2

3

4

5

6

7

8

9

LWWTP Effluent Total Ammonia

Total NH3-N

30-d avg total NH3-N

Total Ammonia (mg/L as N)

General formula for going from water quality standard to permit limits:

Cw= Cds Qds−Cus Qus

Qw

Where Cw and Qw are wastewater treatment plant ammonia-nitrogen species concentration and

plant normalized effluent flow rate, respectively; Cus and Qus are ammonia-nitrogen species

concentration and normalized stream flow rate upstream of the plant discharge, respectively; Cds

and Qds are ammonia-nitrogen species concentration and normalized flow rate downstream (after

discharge), respectively. The condition of Longmont’s permit is that they must report the highest

daily average ammonia for any month.

Upstream total ammonia-N (mg/l)1 0.53

Upstream unionized NH3-N (mg/l) 1 0.026

Acute Water quality standard total ammonia (Cds, mg/l) 8.4

Chronic Water Quality standard unionized ammonia (Cds, mg/l) 0.06

WWTP average total ammonia-nitrogen (mg/l) 1.13

WWTP maximum 30-day average total ammonia-nitrogen (mg/l) 1.56

Calculated WWTP avg unionized NH3-N (mg/l) 0.07

Calculated WWTP max. 30-day average unionized NH3-N (mg/l) 0.09

1 average from CDPHE stream water quality sampling, LWWTP permit rationale.

4

Comparison of seasonal permit limit for ammonia and reported effluent concentration.

Month Permit limit

(total ammonia N, mg/l)

2009 highest actual daily value used for

reporting

(total ammonia N, mg/l)

Jan, Feb, Dec 7.4 1 (Jan, Feb, Dec)

Mar, Apr, Aug, Sep 5.1 2.1 (Mar), 7.74 (Apr – violation), no

data (Aug, Sep)

May, Jun, July 4.4 1.42 (May), 1 (June, July)

Oct., Nov. 6.5 (no data)

Normalized flows:

Qw = 1; Qus = 0.54 (low flow condition), Qds = 1.54

To meet acute standard = 8.4 mg/L total ammonia nitrogen, 30-day average effluent ammonia

nitrogen must be less than:

Cw= 8.4∗1.54−0.53∗0.54

1 =12.6 mg /l

This is no problem for the Longmont WWTP to meet the acute WQS for ammonia. This

highest ever reported daily value for total ammonia nitrogen is 7.74 mg/l, and more relevant to

the permit, the highest 30-day average value was 1.56 mg/l, significantly below where a WQS-

based effluent limit would be set.

The chronic standard is another story.

Cw= 0.06∗1.54−0.026∗0.54

1 =0.08 mg /l

The chronic limit would be associated with a total effluent ammonia limit of 1.3 mg/l. The plant

average total ammonia nitrogen is 1.1 mg/l about 15% less than the WQBEL. More important

their 30-day average total ammonia nitrogen exceeded the WQBEL for 29 days in April-May

2009 due to a process upset. Overall, in 190 days of data collection, they daily average exceed

the chronic limit 20 days, ~10% of the time. Meeting a new WQBEL based on the chronic

ammonia standard could be very problematic for the plant, especially if the permit still

required meeting the limit every day, rather than a 7- or 30-day average..

d. For nitrate, the upstream average nitrate-nitrogen concentration is 3.2 mg/l, and the

calculated new WQBEL for NO3-N is:

Cw= 10∗1.54−3.2∗0.54

1 =13.7 mg /l

5

The 30-day average for NO3-N exceeded 13.7 mg/l for 25 days in April 2009, not surprisingly

when ammonia was low. Also, the overall average effluent NO3-N for the entire data period was

13 mg/l – only 5% lower than the standard. Moreover, the 30-day average effluent nitrate

nitrogen exceeded the WQBEL of 13.7 mg/l on 25 days in April 2009. With current treatment,

the plant is in kind of a double bind. As they get better at meeting stringent ammonia WQBEL,

their nitrate levels will increase. If a 10 mg/l NO3-N WQS were adopted – for example if there

was a possibility for the St. Vrain getting a designated use as a drinking water supply, it would

be very difficult for the Longmont WWTP to meet the new WQBEL for nitrate.

1 11 21 31 41 51 61 71 81 91 101111121131141151161171181

0

2

4

6

8

10

12

14

16

18

Effluent ammonia and nitrate nitrogen

EffNH3N mg/L

EffNO3 mg/L

Effluent NH4- and NO3-N (mg/l)

e. Effluent fecal coliform has two permit limits: 30-day average < 251 CFU/100 ml and 7-

day average < 502 CFU/100 ml. The plant would have no problem meeting either of

these standards, as well as new standards based on E. coli, by either conversion

estimation method.

6

WWTP Data Fecal

Coliform

E. coli

(0.63 conversion)

E. coli

(0.77 conversion)

Plant effluent fecal coliform (avg CFU/100

ml)

28 18 22

Plant effluent fecal coliform (max 30-d avg

CFU/100 ml)

60 38 46

Plant effluent fecal coliform (max 7-d avg

CFU/100 ml)

117 74 90

Estimated discharge E. coli limits for 30-day average based on conversion of 251 CFU/100 ml

fecal coliform limit would be 158 CFU/100 ml or 193 CFU/100 ml, depending on which

conversion factor was used. For the 7-day average effluent limit, 502 CFU/100 ml fecal

coliform, the new 7-day averages would be316 CFU/100 ml or 387 CFU/100 ml depending on

which conversion factor was used. In all cases: 30-day and 7-day average effluent limits,

regardless of conversion factor used to estimate E. coli, the Longmont WWTP would have

no problem meeting an E. coli based limit, just as it has no problem meeting the current

fecal coliform limit.

7

2. Factors to consider (by no means an exhaustive list).

Technology-based effluent limits (TBELs):

Merits Problems

Typically national standards which are uniform

and easy to understand (and hard to contest)

Do not consider unique receiving water

conditions

Achievable with available technology which

could consider secondary and tertiary treatment

May induce complacency with current

technology

Historically have produced improved water

quality

May not protect very high quality waters with

anti-degradation goals

Consistency produces equal cost burdens on

public treatment works

May not be easy to lower standards once they

are set

Non-point source pollution not factored in –

WWTPs responsible only for their own

effluent

New designated uses such as water reuse are

hard to add into permit limits. They become

voluntary

Some improvements such as energy

conservation, nutrient recovery, are technology

based and could be encourage by TBELs

Water quality-based effluent limits (WQBELS)

Merits Problems

Based on scientific knowledge of physical,

chemical, biological, ecological factors in

particular stream

Require significant investment in research and

many factors and combination of factors may

be neglected. Example, alkalinity significantly

changes toxicity of heavy metals.

Incorporate designated use for most waters

(except antidegradation waters) which

recognizes human factors

Changes to designated use offers opportunity

to downgrade receiving water quality due to

economic or social pressure

WQBELs can change to incorporate new

science

Frequent changes (e.g., over 5- or 7-year

permit cycle can impose significant hardship

on WWTPs where major process changes take

place over decadal or longer cycles.

Could inspire new technology based on

emerging standards or contaminants

Adding new contaminants can be done on a

local level

Research costs linking contaminants to impacts

would be borne locally

Non-point source (NPS) pollution may be

factored in explicitly

Utilities bear the cost burden of NPS

Related documents

PDF
CVEN 5534 Wastewater Treatment Assignment 3
CVEN 5534 Wastewater Treatment Assignment 3

2 pages

0% (0)
PDF
CVEN 5534 Wastewater Treatment Assignment 1
CVEN 5534 Wastewater Treatment Assignment 1

2 pages

0% (0)
DOCX
A&D High Tech: Managing Projects for Success Case Study
A&D High Tech: Managing Projects for Success Case Study

15 pages

0% (0)
PDF
Lecture 1: Introduction to Maxwell’s Equations Presentation
Lecture 1: Introduction to Maxwell’s Equations Presentation

19 pages

0% (0)
PDF
Lecture 35: Sommerfeld Integral and Weyl Identity
Lecture 35: Sommerfeld Integral and Weyl Identity

22 pages

0% (0)
PDF
Lecture 4: Magnetostatics, Boundary and Jump Conditions
Lecture 4: Magnetostatics, Boundary and Jump Conditions

15 pages

0% (0)
PDF
Activated Sludge Process Schematics and Process Types
Activated Sludge Process Schematics and Process Types

10 pages

0% (0)
PDF
Lecture 33: High Frequency Solutions and Gaussian Beams
Lecture 33: High Frequency Solutions and Gaussian Beams

20 pages

0% (0)
PDF
Lecture 18 Hollow Waveguides and Rectangular Modes
Lecture 18 Hollow Waveguides and Rectangular Modes

15 pages

0% (0)
DOCX
Intelligent Maximum Power Point Tracking for Photovoltaic Systems
Intelligent Maximum Power Point Tracking for Photovoltaic Systems

5 pages

0% (0)