In this study, actual odor conditions were investigated in restaurants, livestock facilities, and major odor discharge facilities around daily life, and an odor modeling program was performed to find ways to improve odors in odor discharge facilities. The odor modeling results of restaurants around daily life showed that the complex odor concentration of large restaurants, which are close to residential areas, is higher than the acceptable complex odor standard at the receiving point. It was judged that a plan to increase the height of the restaurant odor outlets and a plan to reduce the amount of odor discharge was necessary. As a result of modeling the life odor of livestock housing facilities, when the distance from the housing facility is far away, the actual emission concentration is much lower than the acceptable emission concentration at the receiving point. It was judged that such facilities need to be reviewed for ways to reduce the emission of odorous substances, such as sealing the livestock housing facilities or improving the livestock environment. The main odor emission business sites that show complex odor concentration as 1,000 times or greater than the outlet odor emission standard were businesses associated with surfactant preparation, compounded feed manufacturing, textile dyeing processing, and waste disposal. Due to the separation distance and high exhaust gas flow rate, it was found that odor reduction measures are necessary. In this study, it was possible to present the allowable odor emission concentration at the discharge facilities such as restaurants, livestock houses, and industrial emission facilities by performing the process of verifying the discharge concentration of the actual discharge facility and the result of living odor modeling. It is believed that suitable odor management and prevention facilities can be operated.

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.

To improve modeling performance of CALPUFF in predicting dispersions of methane as the greenhouse gas and hydrogen sulfide as odor inducing pollutants emitted from Daejeon Landfill, we conducted tracer experiments of C2H2 and compared calculated concentrations by CALPUFF model under different dispersion coefficients with those measured as the tracer. The PG (Pasquill-Gillford) and micro- meteorological options in determining the dispersion coefficients in CALPUFF were tested against the tracer measurements. The results show that the micro-meteorological option, in which the dispersion coefficients are calculated by a similarity theory in planetary boundary layer, leads to a better agreement with the measured tracer concentrations than ISC-PG option.