The human nose is very sensitive and reacts rapidly to odor and also to variation in odor concentration. Odor impact studies has to consider this phenomena and the mathematical models used to evaluate odor dispersion has to be able to evaluate concentration fluctuations that occur close to the odor source because of turbulence and eddies. The eddies produce in plume fluctuations and also induce meandering. The classical Gaussian dispersion model (often used in air quality impact studies) cannot represent these phenomena by itself and has to be combine with another model to represent the meandering. The combination of the Gaussian and the Gifford model is discussed in this article.
\nOdor impact evaluation of a specific source is not only the results coming from a proper model. Results analysis has to be well done considering many aspects of the odor dispersion such as odor concentration and frequency of exposure and also the meteorological conditions producing such concentrations. The use of percentiles representing the percentage of time when the odor thresholds are exceeded can be a good way to represent the odor nuisance situation.<\/p>\n
The article present well the odor impact studies however, The studies are more presented on a theoretical way with no link and validation with a real odor dispersion situation.<\/p>\n","protected":false},"excerpt":{"rendered":"
The human nose is very sensitive and reacts rapidly to odor and also to variation in odor concentration. Odor impact studies has to consider this phenomena and the mathematical models used to evaluate odor dispersion has to be able to evaluate concentration fluctuations that occur close to the odor source because of turbulence and eddies. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[456,8882,13816,2854,2817,16845,1972,19644,1701,696,4663,206,1752,616,795,10859,198,2190,199,200,202,16262,17743,95,20911,6053,1055],"class_list":["post-1711","post","type-post","status-publish","format-standard","hentry","category-environment","tag-air-quality","tag-al","tag-ass","tag-bin","tag-cla","tag-close","tag-condition","tag-dd","tag-dilution","tag-dispersion","tag-don","tag-evaluation","tag-impact-study","tag-modeling","tag-models","tag-nat","tag-odor","tag-odor-threshold","tag-odors","tag-odour","tag-odours","tag-pl","tag-prod","tag-quality","tag-t","tag-use","tag-variation"],"_links":{"self":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts\/1711","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/comments?post=1711"}],"version-history":[{"count":0,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/posts\/1711\/revisions"}],"wp:attachment":[{"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/media?parent=1711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/categories?post=1711"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/prairieswine.com\/rsc\/wp-json\/wp\/v2\/tags?post=1711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}