Measuring odours in the environment vs. dispersion modelling: A review

Capelli, Laura; Sironi, Selena; Rosso, R. Del; Guillot, Jean-Michel

doi:10.1016/j.atmosenv.2013.07.029

Cited by 182 publications

(156 citation statements)

References 123 publications

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“…One way to conceptually estimate the relative contribution of an individual odorant to an odour mixture is to calculate its odour activity value (OAV), which is defined as the ratio of the airborne concentration of this compound to its odour threshold (Parker et al, 2013;Parker et al, 2012;. For complex odour mixtures, Capelli et al (2013) explains that these individual odorant OAV values can be summed to provide an OAV for the mixture, presumably for comparison to other complex odour mixtures. OAV calculations can be imprecise due to difficulties in finding reliable odour threshold values and the values reported in the literature can vary by several orders of magnitude for individual odorants (Capelli et al, 2013;Parker et al, 2012).…”

Section: S25 Odour Threshold Values For Individual Odorantsmentioning

confidence: 99%

“…For complex odour mixtures, Capelli et al (2013) explains that these individual odorant OAV values can be summed to provide an OAV for the mixture, presumably for comparison to other complex odour mixtures. OAV calculations can be imprecise due to difficulties in finding reliable odour threshold values and the values reported in the literature can vary by several orders of magnitude for individual odorants (Capelli et al, 2013;Parker et al, 2012). explained that some of the differences in reported OT values is related to the way odour threshold is defined.…”

Section: S25 Odour Threshold Values For Individual Odorantsmentioning

confidence: 99%

“…explained that the odour threshold resulting from the mixture of two odorants can be independent (OT AB = OT A or OT B ), additive (OT AB = OT A + OT B ), synergistic (OT AB > OT A + OT B ) or counteractive (OT AB < OT A + OT B ) compared to the thresholds of the individual odorants (where OT AB is the odour threshold of the mixture of compounds A and B; OT A is the odour threshold of compound A; and OT B is the odour threshold of compound B). In contrast, calculations of OAV for individual compounds (Parker et al, 2013) or complex mixtures (Capelli et al, 2013) assume the relationship to be simply additive. Considering that odour from litter and meat chicken sheds is known to be a complex mixture of dozens of odorants it would seem unlikely that simple arithmetic would apply to the summation of odorant contributions to the whole odour mixture while assuming no interactions between the compounds.…”

Section: S25 Odour Threshold Values For Individual Odorantsmentioning

confidence: 99%

See 2 more Smart Citations

Odour emissions from poultry litter – A review litter properties, odour formation and odorant emissions from porous materials

Dunlop

Blackall

Stuetz

2016

Journal of Environmental Management

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Section: S25 Odour Threshold Values For Individual Odorantsmentioning

confidence: 99%

Section: S25 Odour Threshold Values For Individual Odorantsmentioning

confidence: 99%

Section: S25 Odour Threshold Values For Individual Odorantsmentioning

confidence: 99%

See 1 more Smart Citation

Odour emissions from poultry litter – A review litter properties, odour formation and odorant emissions from porous materials

Dunlop

Blackall

Stuetz

2016

Journal of Environmental Management

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“…Independently of applied purification technology resulting in a limitation of emission of odorants characterized by unpleasant odour it is necessary to monitor the effectiveness of deodorization process via measurement of odour concentration at inlet and outlet of an installation [6][7][8]. The most popular techniques dedicated to this type of applications are olfactory techniques, especially dynamic olfactometry normalized in accordance with the standard EN 13725:2003 "Air quality.…”

Section: Introductionmentioning

confidence: 99%

Instrumental measurement of odour nuisance in city agglomeration using electronic nose

Szulczyński

Dymerski

Gębicki

et al. 2018

E3S Web of Conferences

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Abstract. The paper describes an operation principle of odour nuisance monitoring network in a city agglomeration. Moreover, it presents the results of investigation on ambient air quality with respect to odour obtained during six-month period. The investigation was carried out using a network comprised of six prototypes of electronic nose and Nasal Ranger field olfactometers employed as a reference method. The monitoring network consisted of two measurement stations localized in a vicinity of crude oil processing plant and four stations localized near the main emitters of volatile odorous compounds such as sewage treatment plant, municipal landfill, phosphatic fertilizer production plant. The electronic nose prototype was equipped with a set of six semiconductor sensors by FIGARO Co. and one PID-type sensor. The field olfactometers were utilized for determination of mean concentration of odorants and for calibration of the electronic nose prototypes in order to provide their proper operation. Mean monthly values of odour concentration depended on the site of measurement and on meteorological parameters. They were within 0 -6.0 ou/m 3 range. Performed investigations revealed the possibility of electronic nose instrument application as a tool for monitoring of odour nuisance.

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“…The CALPUFF model is one of the most popular models for evaluation of landfill odors (Capelli et al, 2013;Davoli et al, 2010;Ranzato et al, 2012;Sironi et al, 2010). A detailed description of this model can be found in the Supplementary file.…”

Section: Calpuff Modelmentioning

confidence: 99%

Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach

Cai

Wang

Long

et al. 2015

Journal of Environmental Management

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a b s t r a c tLandfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400e1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly À32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.

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Measuring odours in the environment vs. dispersion modelling: A review

Cited by 182 publications

References 123 publications

Odour emissions from poultry litter – A review litter properties, odour formation and odorant emissions from porous materials

Odour emissions from poultry litter – A review litter properties, odour formation and odorant emissions from porous materials

Instrumental measurement of odour nuisance in city agglomeration using electronic nose

Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach

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