The annoyance potential for odor sources can be evaluated by separation distances. A separation distance between a standard pig farm and a residential area was investigated by the AERMOD model. The studied area comprised four sites in Korea. The study sites were Paju, Yangpyeong, Suwon, and Icheon, respectively. The separation distances criteria of the three reference Odor Impact Criteria (OIC) were used to evaluate the separation distance. Results show that separation distances for the four sites were calculated 20 m from the fence in the existing pig farm criteria case [exceedance probability P (%) = 2.0% and concentration = 6 OU] in Ireland. In the case of the new pig farm criteria [(exceedance probability P (%) = 2.0% and concentration = 3 OU) of Ireland, results show that the separation distances of the four locations were between 120 m and 145 m from the fence. These values were about 3.0~4.5 times larger than those of the existing pig farm criteria case. In the case of a concentration of 1 OU and the exceedance probability P (%) of a 2.0% criteria, the separation distances of the four sites ranged from 250 m to 290 m.

This paper presents the performance of a CFD model for the near field dispersion of odor from rooftop emissions. The FLUENT Shear-Stress Transport (SST hereinafter) k-ω turbulence model was used to simulate odor dispersion from a rooftop odor vent. The results were compared with a wind tunnel experiment and the calculated results of ASHRAE 2003 and 2007. The FLUENT SST k-ω turbulence model provided good results for making reasonable predictions about the building rooftop surface normalized dilution. It was found that increasing the vent height (from 1 m to 7 m) reduces rooftop surface normalized dilution. ASHRAE 2003 and ASHRAE 2007 performance measures are generally not as good as FLUENT SST k-ω turbulence model performance measures, with larger MG (the geometric mean bias, VG (the geometric variance), NMSE (the normalized mean square error), FB (Fractional bias), and smaller FAC2 (the fraction of predictions within a factor of two of observations).

In this study we investigated odor (hydrogen sulfide) dispersion around a cubic building by using commercial FLUENT CFD code. The FLUENT Shear-Stress Transport (hereafter SST) k-ω turbulence model was used to simulate odor dispersion from an odor source. The results were compared with a wind tunnel experiment and other simulation results. SST k-ω turbulence model provided good grounds for making reasonable predictions about the building surface concentrations and concentration profiles of selected leeward positions of the cubic building. It was found that a vent, which was positioned 7 m above the top of the square building center, decreased the plume length lower by 0.73 and increased the plume height by 1.43 compared to roof top vents. It was also found that by increasing the vent height there a corresponding decrease in the maximum dimensionless concentration around the roof surface.

Even though offensive odor control law was enforced in 2005, the civil appeal of odor doesn’t decrease all parts of the country. On Effluent Quality Standard site, the reason why the civil appeal is filed could be the restriction which is regulated by odor concentration(dilution threshold) without considering odor emission. When regulating odor concentration only, the different scenarios were considered and analyzed for diffuse form through odor concentration, stack height and flow rate using AERSCREEN. Oder compounds from the analyzed scenarios were fluctuated by not only odor concentration but flow rate. Therefore, flow rate regulation introduction is necessary because odor concentration regulation of Effluent Quality Standard doesn’t make the civil appeal reduce. Now, Odor Effluent Quality Standard is managed by Effluent Quality Standard like air pollutants in Korea. It means, the concept conversion of Receptor-centric is need for preventing civil appeal and complaint of odor. For the odor management of receptor-centric, workplace emission is regulated in accordance with odor concentration at receptor. but it’s hard to regulate all of workplace respectively because all workplace condition is different each other In Japan, odor diffusion modeling for calculating the causal relationship between receptor and emission is used for the method to figure out the problem. By expanding odor automatic monitoring network that some of local governments have, odor emission management and continues receptor current status analysis are needed to combine and operate for resolving odor problem.