Cement production processes release various odor elements including acetaldehyde, hydrogen sulfide, formaldehyde and toluene etc. A three-dimensional numerical simulation using a commercial code of Computational Fluid Dynamics (CFD) was used to estimate the concentration profiles and dispersion distance around the local residential area. The calcination furnace, one of the main emission sources in the cement manufacturing process, discharged the odorous gases of H₂S, HCHO, CH₃CHO and C6H5CH₃at levels of up to 3.15 ppb, 5.1 ppm, 6.65 ppm and 0.74 ppm of H₂S, HCHO, CH₃CHO and C6H5CH₃respectively. This study found that as for the emission concentration of 1ppm for H₂S and CH₃CHO, the landing distance of the threshold value for each gas was extended in summer seasons at a low velocity. Low temperature of the flue gas at a high velocity also led to long dispersion.

Odor dispersion from road emissions were investigated using CFD (Computational Fluid Dynamics). The Shear Stress Transport k-ω model in FLUENT CFD code was used to simulate odor dispersion around the road. The two road configurations used in the study were at-grade and fill road. Experimental data from the wind tunnel obtained in a previous study was used to validate the numerical result of the road dispersion. Five validation metrics are used to obtain an overall and quantitative evaluation of the performance of Shear Stress Transport k-ω models: the fractional bias (FB), the geometric mean bias (MG), the normalized mean square error (NMSE), the geometric variance (VG), and the fraction of predictions within a factor of two of observations (FAC2). The results of the vertical concentration profile for neutral atmospheric show reasonable performance for all five metrics. Six atmospheric stability conditions were used to evaluate the stability effect of road emission dispersion. It was found that the stability category D case of at-grade decreased the non-dimensional surface odor concentration smaller 0.78~0.93 times than those of stability category A case, and that F case decreased 0.39~0.56 times smaller than those of stability category A case. It was also found that stability category D case of filled road decreased 0.84~0.92 times the non-dimensional surface odor concentration of category A case and stability category F case decreased 0.45~0.58 times compared with stability category A case.

The purpose of this study was to investigate the odor arising from the Cheong-ju industrial complex area for odor materials confirmation, and to predict the impact of the odor in the residential area using the CALPUFF Model. Among the odor causing substances in the area with a rising number of collective complaints due to odor, methyl sulfide, acetaldehyde, propionaldehyde, n-buthylaldehyde, n-valeraldehyde and styrene were detected. Odor causing substances detected in the area surrounding the industrial complex include ammonia, hydrogen sulfide, n-buthylaldehyde, toluene, xylene, benzene and styrene. Using the CALPUFF Model, it was predicted that 1hr average was 3.981~7.553 OU/m3 and 24hr average was 1.753~2.359 OU/m3. In terms of odor intensity, the predicted 1hr average was 0.6~0.9 and the 24hr average was 0.2~0.4.

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.

Atmospheric stability is an important parameter which effects pollutant dispersion in the atmospheric boundary layer.The objective of this paper was to verify the effect of stability conditions on odor dispersion downwind from anarea source using computational fluid dynamic (CFD) modeling. The FLUENT Realizable k-ε model was used tosimulate odor dispersion as released by an odor source. A total of 3 simulations demonstrated the effects of unstable,neutral, and stable atmospheric conditions. Unstable atmospheric stability conditions produced a shorter odor plumelength compared with neutral and stable conditions because of stronger convective effects. Like other studies,unstable atmospheric condition produced higher plume height compared with neutral and stable conditions.

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.

Odorous compounds were monitored and dispersion modeling was conducted using AERMOD model. for Songtan Industrial Complex (SIC) located in Mogok-dong, Pyeongtaek city. The complex odor at the target area showed an average dilution ratio of 4.5 and low ammonia concentrations were observed (78.3 ppb). Sulfide, methyl iso-buthyl ketone, methyl ethyl ketone and styrene were not detected. The toluene concentration showed as 1233.3 ppb, which was the highest in the target compounds. The diffusion effect of odorous pollutants by wind was confirmed by descending order of concentration, inner-SIC (282 ppb) > downwind site (182 ppb) > upwind site (11.6 ppb). The results of the modeling demonstrated that the complex odors on the west and, south, north and east of the boundaries were dilution ratios of 10 24 and 20, respectively indicating the north and the east of SIC were more vulnerable to odor pollution than other regions.

A three-dimensional Computational Fluid Dynamics (CFD) with the renormalization group (RNG) k-ε turbulence model was used to simulate flow patterns and corresponding dispersion of passive H₂S pollutant in urban area with complex terrains. The major emission sources of H₂S considered in this study include the sewage disposal plant and the leather waste water disposal plant located the northwest direction from the residential area. In order to describe the flow and dispersion characteristics of H₂S in the complex terrain, the terrain data in the modeling domain was processed as the input data for the CFD model, while the previous studies were conducted in flat terrains. The recirculating flow zone was formed behind the buildings, and the pollutant concentration in the zone was noticeably high because of limited ventilation. The velocity profile and ventilation rate along the height were calculated to identify the effective zone of weak flow and re-circulation by the buildings and complex terrains. According to this study, the CFD modeling was demonstrated to be highly effective to simulate the effect of buildings and complex terrains on the flow and dispersion of odors. Detailed studies are desirable to further validate the odor dispersion with measurements under more complex flow conditions.

Odor emission effects of unit processes in 10 livestock farms and 3 manure treatment facilities in Y and I cities, Kyonggido, were simulated using puff model after the odor emission rates were measured. 2 degree level of odor intensity and 1 degree level of it were predicted by the puff model in the adjacent area of odor emission source and within the 8km radius range of it, respectively. As real time odor modelling system was operated at specific manure based fertilizer making facility located in Y city, the highest odor concentration was predicted at the entrance of that facility and relatively lower odor intensity was estimated at the place more or less be aparted from the emission sources. The higher odor intensity was evaluated at dawn and evening because the odor was accumulated in case of stable air condition.

The covered stream of cities are considered an odor source. Also, the public do not want a wastewater treatment plant(WWTP) near their properties due to the emission of odor emanating from such sources, although they play an important role in urban development. The purpose of this study is to analyze the pattern distribution of the odorous compounds from the Nambu WWTP and Youngho stream in Busan. odor sampled four times were analyzed by instrumental analysis method and indirect olfactory method. The kinds of offensive odorous compounds examined are acetaldehyde, propion aldehyde, hydrogen sulfide, methyl mercaptan, dimethyl sulfide and ammonia. Also, Concentration of air pollutants has been calculated by ISCST3 models. At the result of this study, The Nambu WWTP releases sulfur compounds. And the major odorous were hydrogen sulfide (1,475 ppb) and acetaldehyde (95 ppb) at Youngho stream. The stink which residents feel will point out the Nambu WWTP mainly if the odor is removed with the improvement of a Youngho stream. Accordingly, we should pay more attention to appropriate components to processes in odor reducing plan at Nambu WWTP.

In this study, the environmental behavior of malodor pollutants (MPs:　H2S, CH3SH, DMS, and DMDS) was investigated around areas influenced by strong anthropogenic processes based on observations and modeling study (a CALPUFF dispersion model). The MP emission concentrations were measured from 8 industrial source regions (tire plants (S1-S3), waste water disposal plant (S4), and oil refinery (S5) in an urban center area and paper mill/incineration plant (S6) and livestock feedlots (S7-S8) in Ungsang area) in Yangsan city during a fall period in 2008 (21 October 2008). Overall, the most MPs emitted from the urban center area were found to affect the malodor pollution in their downwind areas during early morning (06:00 LST) and nighttime (18:00 and 21:00 LST), compared with those in the Ungsang area. For malodor intensity, the most MPs in the urban center area (especially S1 and S2) were found to be a significant contributor, whereas CH3SH and H2S in the Ungsnag area (especially S6) were the dominant contributor. The model study showed agreement in the spatial distributions of simulated MPs with those of the observations. The largest impact of MPs in the urban center area on the malodor pollution in its residential areas occurred at S1, S2, and S3 sites during nighttime, while that of MPs in the Ungsang area occurred at S6 and S8 sites. This may be caused mainly by the high MP emissions and in part by wind conditions (prevailing northeasterly winds with low wind speeds of 2-3 m/s).