The objectives of Community Odor Monitoring Projects are to involve the community in assessing odor impacts, determine the odor impacts on nearby residents and provide feedback to operators, stakeholders and community members. A well-executed Community Odor Monitoring Projects helps identify sources of odor pollution and assess the performance of implemented solutions. It also improved factual information and enable proactive response of plant operator to the neighbors’ concerns.
Lenz Enterprises has an Order of Approval from the Puget Sound Clean Air Agency. This approval required installation of an odor monitoring system that measures and reports results in odor units (OU)/cubic meter. Lenz installed an Odotech monitoring system, which has electronic noses (e-noses) positioned near the odor sources — one located on the back wall of the ASP zones and the other on the northwest corner of the organics receiving building. Sensor data is automatically logged by the Odotech system and Lenz uses this information to develop reports for the agency.
Christophe Guy, co-founder of Odotech and CEO of Polytechnique Montreal, was appointed Member of the Order of Canada. As a research professor and expert in the areas of odors, air quality and the environment, Dr. Guy has authored more than 100 scientific publications and eight patents.
Odors are normally quantified by dynamic dilution olfactometric analysis. Olfactometric analysis consists of determining the olfactory perception threshold of a gaseous sample. The olfactory perception threshold is defined as the number of dilutions at which 50% of a jury perceives the odor while 50% do not. This does not involve the determination of the quality of the odor. By definition, the olfactory perception threshold is equivalent to 1 odor unit per cubic meter of air: “1 o.u./m3″. The number of dilutions of the odor sample required to obtain 1 o.u./m3 indicates the odor concentration of the sample in odor units per cubic meter of air [o.u./m3].
The major differences between static and dynamic dispersion modeling for odor nuisance prediction and compliance: Why does modeling fit into the planning for odor compliance and odor control? What to model? A quick summary of the data inputs needed to run a dispersion model in a Static or a Dynamic modeling perspective. What are the benefits of each modelling approach? Cases studies
The most common approach to regulating odor impacts is through the interpretation of odor nuisance. The origins of odor nuisance regulations come from English Common Law which balances the rights of individuals. One has the right to swing their arm up to the point that a closed fist approaches another person’s nose. At that point, the other person’s right not to be assaulted prevails.