A Comparison of Odor Dispersion Modelling Results Using Emission Data From Wind Tunnel and Flux Hood

Jiang, Jiatan; Kaye, R.

doi:10.2175/193864700785303088

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, at a distance of 1000m from a 20 megalitre sewage treatment plant, the odor concentrations derived by modeling using flux hood measurements were about one fourth of the odor concentrations derived using the wind tunnel measurements (Jiang and Kaye, 2000).…”

Section: Area Sourcesmentioning

confidence: 93%

See 1 more Smart Citation

Developing Odor Impact Assessment Procedures

Jiang¹,

Kaye²

2000

proc water environ fed

View full text Add to dashboard Cite

Section: Area Sourcesmentioning

confidence: 93%

“…In the paper, the effects of the olfactometry method and odor impact criteria were discussed. Jiang and Kaye (2000) investigated the effects of sampling techniques on odor impact assessment for area sources and meteorological data. Modeling results were compared for flux hood versus wind tunnel derived odor emission measurements.…”

Section: Introductionmentioning

confidence: 99%

Developing Odor Impact Assessment Procedures

Jiang¹,

Kaye²

2000

proc water environ fed

View full text Add to dashboard Cite

“…The majority of air quality complaints by the public involve nuisance odors (Bu et al, 2021; Jiang & Kaye, 2000; Pandey et al, 2016), in spite of a sharp improvement of United States air quality over the last 30 years (US EPA, 2018). Thus, nuisance odor complaints are a critical issue that must be addressed.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of three granular activated carbon filters for the treatment of collections foul air entering a water resource recovery facility

Vitko,

Cowden,

Yin

et al. 2024

Water Environment Research

View full text Add to dashboard Cite

The treatment of raw foul air that could escape to the atmosphere from the head space of the incoming wastewater sewer lines into a Southern California Water Resource Recovery Facility was evaluated by using a 1/20th scale pilot unit consisting of three different granular activated carbon filter technologies, operating side by side, under similar operating conditions, each having an average 3.8‐s contact time. The three activated carbon filters contained each 0.07 m3 of coconut, coal, and coconut mixed with permanganate media. The foul air entering the granular activated carbon filters contained 82% to 83% relative humidity. No moisture removal mechanism was used prior to treatment. The removal of six different odor characters from eight chemical odorants present in the foul air were assessed. These were rotten egg (hydrogen sulfide), rotten vegetables (methyl mercaptan), canned corn (dimethyl sulfide), rotten garlic (dimethyl disulfide), earthy/musty (2‐methyl isoborneol and 2‐isopropyl 3‐methoxy pyrazine), and fecal (skatole and indole). This is the first time a study evaluates the removal of specific odors by simultaneously employing sensory analyses using the odor profile method, which defines the different odor characters and intensities, together with chemical analyses of the odorants causing these odors. The results show that the three granular activated carbon filters, before hydrogen sulfide breakthrough, provided significant improvement in odor intensity and odorant removal. Breakthrough was reached after 57 days for the coconut mixed with permanganate, 107 days for the coconut, and 129 days for the coal granular activated carbon filter. Breakthrough (the critical saturation point of the activated carbon media) was considered reached when the hydrogen sulfide percentage removal diminished to 90% and continued downward. The coconut mixed with permanganate granular activated carbon filter provided the best treatment among the media tested, achieving very good reduction of odorants, as measured by chemical analyses, and reasonable removal of odor intensities, as measured by the odor profile method. The coconut mixed with permanganate granular activated carbon is recommended for short‐term odor control systems at sewer networks or emergency plant maintenance situations given its shorter time to breakthrough compared with the other granular activated carbons. The coal and coconut granular activated carbon filters are generally used as the last stage of an odor treatment system. Because of the observed poor to average performance in removing odorants other than hydrogen sulfide, the treatment stage(s) prior to the use of these granulated activated carbons should provide a good methyl mercaptan removal of at least 90% in order to avoid the formation of dimethyl disulfide, which, in the presence of moisture in the carbon filter, emit the characteristic rotten garlic odor. The differences observed between the performances based on odorant removal by chemical analysis compared with those based on sensorial analyses by the odor profile method indicate that both analyses are required to understand more fully the odor dynamics.Practitioner Points Three virgin granulated activated carbon media were evaluated in a field pilot unit using raw collections foul air. Coal, coconut, and coconut mixed with permanganate were tested until breakthrough. Samples were analyzed both chemically (odorants) and sensorially (odors). Coconut mixed with permanganate proved to be the media that better reduced odorants and odors.

show abstract

Correlating Emissions with Time and Temperature to Predict Worst-Case Emissions from Open Liquid Area Sources

Nagaraj¹,

Sattler

2005

Journal of the Air & Waste Management Association

View full text Add to dashboard Cite

The two primary factors influencing ambient air pollutant concentrations are emission rate and dispersion rate. Gaussian dispersion modeling studies for odors, and often other air pollutants, vary dispersion rates using hourly meteorological data. However, emission rates are typically held constant, based on one measured value. Using constant emission rates can be especially inaccurate for open liquid area sources, like wastewater treatment plant units, which have greater emissions during warmer weather, when volatilization and biological activity increase. If emission rates for a wastewater odor study are measured on a cooler day and input directly into a dispersion model as constant values, odor impact will likely be underestimated. Unfortunately, because of project schedules, not all emissions sampling from open liquid area sources can be conducted under worst-case summertime conditions. To address this problem, this paper presents a method of varying emission rates based on temperature and time of the day to predict worst-case emissions. Emissions are varied as a linear function of temperature, according to Henry's law, and a tenth order polynomial function of time. Equation coefficients are developed for a specific area source using concentration and temperature measurements, captured over a multiday period using a data-logging monitor. As a test case, time/temperature concentration correlation coefficients were estimated from field measurements of hydrogen sulfide (H2S) at the Rowlett Creek Wastewater Treatment Plant in Garland, TX. The correlations were then used to scale a flux chamber emission rate measurement according to hourly readings of time and temperature, to create an hourly emission rate file for input to the dispersion model ISCST3. ISCST3 was then used to predict hourly atmospheric concentrations of H2S. With emission rates varying hourly, ISCST3 predicted 384 acres of odor impact, compared with 103 acres for constant emissions. Because field sampling had been conducted on relatively cool days (85-90 degrees F), the constant emission rate underestimated odor impact significantly (by 73%).

show abstract

A Comparison of Odor Dispersion Modelling Results Using Emission Data From Wind Tunnel and Flux Hood

Cited by 4 publications

References 0 publications

Developing Odor Impact Assessment Procedures

Developing Odor Impact Assessment Procedures

Evaluation of three granular activated carbon filters for the treatment of collections foul air entering a water resource recovery facility

Correlating Emissions with Time and Temperature to Predict Worst-Case Emissions from Open Liquid Area Sources

Contact Info

Product

Resources

About