Setting acceptable odour criteria using steady-state and annual hourly weather data

Yu, Zimu; Guo, Huiqing; Xing, Yi; Laguë, C.

doi:10.1016/j.biosystemseng.2009.02.019

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Atmospheric dispersion modelling has been applied for the assessment of odour impacts in several cases using mainly Gaussian models such as the industrial source complex model (McIntyre 2000;Henshaw et al 2006) and the CALPUFF model (Yu et al 2009). Dispersion modelling can effectively be used in order to estimate the dispersion of odours using available emission data and to correlate with complaints and, secondly, to estimate the maximum odour emissions which can be permitted from a site in order to prevent odour complaints (McIntyre 2000).…”

mentioning

confidence: 99%

Dispersion of Odorous Gaseous Compounds Emitted from Wastewater Treatment Plants

Latos

Karageorgos

Kalogerakis

et al. 2010

Water Air Soil Pollut

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Municipal wastewater treatment plants (WTP) emit odorous compounds that produce nuisance to the workers and nearby residents. Several chemical compounds contribute to odour problems, among them, sulphurous organic compounds, hydrogen sulphide, phenols and indoles, ammonia, volatile amines and volatile fatty acids. In the current study, hydrogen sulphide (H 2 S) concentrations were measured during the summer period of 2007 by a portable handheld device at the WTP of Chania City (Greece). Measurements were taken in several places within the facility. The highest hydrogen sulphide levels were measured close to the primary sedimentation tanks and the tanks where the recycled activated sludge is mixed, the sludge from the primary sedimentation tanks reaching 30 ppm. In conjunction with the measurements, the Gaussian dispersion model AERMOD code was modified in order to estimate the maximum odour concentration for very short time steps using peak-tomean ratios. The probability of detection of H 2 S exceeds 50% at 400 m distance from the main emission sources (time interval of 5 s) with a relative high degree of annoyance (3.2 AU) under typical summer period conditions. Furthermore, relations between odour annoyance and odour exposure concentrations have been embedded in the model, in order to express the odour impacts in terms of probability of detection and degree of annoyance of the population near the WTP of Chania.

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mentioning

confidence: 99%

Dispersion of Odorous Gaseous Compounds Emitted from Wastewater Treatment Plants

Latos

Karageorgos

Kalogerakis

et al. 2010

Water Air Soil Pollut

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“…1 Building a new livestock operation, expanding, or intensifying an existing livestock operation must address public concern of livestock odor. One widely used approach to deal with odor concern is to establish appropriate setback distances to separate the livestock production facilities from residences or public facilities.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, unlike the OFFSET model, the actual odor occurrence frequencies of 75 OU were estimated. As pointed out in a study of Yu et al, 1 the odor criteria used to achieve the same setback distance should be different when using steady-state weather conditions as was used in the OFFSET model and the annual hourly weather data as used in the Nebraska odor footprint model. The odor concentration that was used as odor criterion should be much lower when using annual hourly weather data.…”

Section: Introductionmentioning

confidence: 99%

Determination of Setback Distances for Livestock Operations Using a New Livestock Odor Dispersion Model (LODM)

Guo

2011

Journal of the Air & Waste Management Association

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Setback distance has been used as an effective tool to avoid odor nuisance from livestock operations. Many setback distances were guidelines that were determined by empirical methods that are considered to be lack of science base. Air dispersion models have been used to determine setback distances; however, these models do not consider the shorttime fluctuations of odor. A livestock odor dispersion model (LODM) was developed to consider the short-time variations of odor and predict occurrence frequency for certain levels of odor. In this study, this model was used to predict the occurrence frequency for various levels of odor in the vicinity (10 km) of a swine farm. Using selected odor criteria, setback distances between the swine farm and nearby communities were defined. Results indicate that the LODM can be used as an effective tool to determine setback distances.

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“…Για την προσομοίωση της μεταφοράς των οσμών στην ατμόσφαιρα χρησιμοποιούνται ευρύτατα ατμοσφαιρικά μοντέλα διασποράς (Hayes et al, 2006;Drew et al, 2007;Wang et al, 2006). Στις περισσότερες περιπτώσεις χρησιμοποιούνται Γκαουσιανά μοντέλα διασποράς όπως είναι το Industrial Source Complex (ISC) και το CALPUFF (McIntyre, 2000;Henshaw et al, 2006;Yu et al, 2009). Η χρήση μοντέλων διασποράς μπορεί να χρησιμοποιηθεί για την εκτίμηση της διασποράς των οσμών χρησιμοποιώντας τα κατάλληλα δεδομένα εκπομπών και την συσχέτιση με παράπονα που έχουν διατυπωθεί από περιοίκους.…”

Section: Introductionunclassified

Μελέτη Της Μεταφοράς Οσμών Από Κέντρα Επεξεργασίας Λυμάτων Σε Γειτονικές Περιοχές

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Latos²

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Πίνακας 21: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 3 η σειρά μετρήσεων. ______________________________________________ Πίνακας 22: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 4 η σειρά μετρήσεων. ______________________________________________ Πίνακας 23: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 5 η σειρά μετρήσεων. ______________________________________________ Πίνακας 24: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 6 η σειρά μετρήσεων. ______________________________________________ Πίνακας 25: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 7 η σειρά μετρήσεων. ______________________________________________ Πίνακας 26: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 8 η σειρά μετρήσεων. ______________________________________________ Πίνακας 27: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 9 η σειρά μετρήσεων. ______________________________________________ Πίνακας 28: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 10 η σειρά μετρήσεων. _____________________________________________ Πίνακας 29: Αποτελέσματα μετρήσεων ρύπων και μετεωρολογικών παραμέτρων για την 11 η σειρά μετρήσεων.

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Setting acceptable odour criteria using steady-state and annual hourly weather data

Cited by 7 publications

References 9 publications

Dispersion of Odorous Gaseous Compounds Emitted from Wastewater Treatment Plants

Dispersion of Odorous Gaseous Compounds Emitted from Wastewater Treatment Plants

Determination of Setback Distances for Livestock Operations Using a New Livestock Odor Dispersion Model (LODM)

Μελέτη Της Μεταφοράς Οσμών Από Κέντρα Επεξεργασίας Λυμάτων Σε Γειτονικές Περιοχές

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