Industrial Odor Source Identification Based on Wind Direction and Social Participation
Mohamed Eltarkawe and
Shelly Miller
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Mohamed Eltarkawe: Mechanical Engineering Department, University of Colorado Boulder, Sustainability, Energy and Environment Complex, East Campus, 4001 Discovery Drive, Boulder, CO 80303, USA
Shelly Miller: Mechanical Engineering Department, University of Colorado Boulder, Sustainability, Energy and Environment Complex, East Campus, 4001 Discovery Drive, Boulder, CO 80303, USA
IJERPH, 2019, vol. 16, issue 7, 1-18
Abstract:
Industrial odors have been a major concern in many communities in Colorado (USA). Odor source identification is important for any mitigation strategy. The aim of this work was to identify odor sources using wind direction and odor data collected by social participation. For more than one year residents reported time, date, location and description of the odor occurrence by means of a smartphone technology. The odor spatial distribution and wind roses generated from local stations were used to identify odor sources. The majority of odor reports happened in North Denver (57%) and Greeley (33%). North Denver analysis showed that a single facility that manufactures pet food was responsible for the pet food odor (the most reported odor, 81 reports). Dead animal and sewage odors were associated with a North Denver meat and grease recycling facility, and the Metro Wastewater treatment plant, respectively. Roofing tar odor was probably associated with a facility that treats crossties and utility poles with creosote. Another odor that was often described as a refinery odor was less likely to be associated with the Denver oil refinery and more likely to be associated with one of the four facilities in the northwest of Globeville that uses asphalt and creosote materials. In Greeley, most reports (133 reports) happened in LaSalle, a small town in the southern part of Greeley. All reports from LaSalle described one offensive odor that was produced by a biogas facility east of LaSalle. The feasibility of odor source identification using wind direction and social participation was demonstrated. A regional cooperation to reduce odor problems in North Denver is highly recommended.
Keywords: odor source identification; social participation; sensory methods; wind direction; smartphone (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:7:p:1242-:d:220733
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