• Journal of Environmental Science International
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• v.17 no.5
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• pp.525-535
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• 2008

5 public complaint areas against odor in Changwon Industrial Complex were selected and investigated to clear up the cause of the complaint. 16 companies operated in public complaint areas were visited and had a grip of their situation about odor generation and treatment. Two samples at it's site boundary of each company were taken to measure complex odor unit. Complex odor unit at the site boundary of investigated companies in the public complaint areas, for the most part, exceeded standard(odor unit 20) in industrial area. It was due to that this area was not designated as odor control region and that there are also many problems in current laws of Odor Protection Act, Air Quality Act and regional legislation. Accordingly, It will be necessary to revise the related legislation, to organize governance, to financially support the improvement of environmental facilities and to enforce guidance and the regulation rigidly for the odor emission reduction in Changwon Industrial Complex.

• Journal of Korean Society for Atmospheric Environment
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• v.23 no.1
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• pp.1-13
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• 2007

This study was carried out to evaluate the applicability of the odor source tracking using wind field and fingerprint as a solution tool. First of all, CALMET and HYSPLIT modeling system, and database of odor discharge companies were utilized to track odor from industrial complexes. Secondly, industrial odor fingerprint was made by listing on the 19 domestic industries, and compared with foreign data to assess the representative, and thus the similarity was 86.7%. On the modeling experiment, Sihwa industrial complex did not show any difference because the matching rates of day and night were 49.5% and 50.0%, respectively. However, the Banwol and Sihwa industrial complexes did show some differences due to odor facility density. Separately, in this study, odor samples were obtained from 10 odor discharging companies, located in the Sihwa and Banwol industrial complexes, They were compared with the results of odor tracking modeling. The matched companies were 4 of 10 by three cases of tracking, while the fingerprint and industry of odor monitoring networks and companies matched each other. Therefore, this study confirmed the approach applicability of source tracking system using the fingerprint.

• Journal of Environmental Health Sciences
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• v.40 no.6
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• pp.477-483
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• 2014

Objectives: This study was carried out to investigate the characteristics of odors emitted from sewage in a sanitary sewer and its outlets. Methods: The concentration of mal-odorous sulfur was analyzed by gas chromatograph, and odor intensity was estimated by an on-site sensory test. Odor intensity calculated from instrumental analysis results was compared with odor intensity observed at field. Results: As a results, the concentration of $H_2S$ ranged from 2.4 ppb to 5,889 ppb (average 703 ppb), while $CH_3SH$, $(CH_3)_2S$, and $(CH_3)_2S_2$ showed from 10 ppb to 554 ppb (average 119 ppb) and from 20 ppb to 332 ppb (average 70 ppb) and from 2.7 ppb to 8.1 ppb (average 5 ppb) individually. Average odor intensity observed in the field was degree three. Odor intensity calculated from sulfur compound concentration was confirmed as similar to the observed odor intensity because the coefficient of variance between the observed and the calculated intensities was less than one. Conclusion: It was expected that the results of this study will be helpful to design a deodorizing device to reduce odor emissions from sewerage facilities in the future.

• Journal of Animal Environmental Science
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• v.7 no.2
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• pp.119-126
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• 2001

For the odor test, it was chosen the conventional spreader, the hose spreader, and its combination with disk harrow and spring harrow as a slurry spreader. By the odor tester (Kalmor-$\sum$) with dairy slurry, the conventional spreader has the average $\sum$ value of 270, which means that one fells substantial odor and torment. In the cases of hose spreader and its combination with disk harrow, $\sum$ value was 217 and 182 respectively, which means a normal person does not smell any odor. Spreading the swine slurry with a conventional spreader shows $\sum$ value of 440, which means one feels unpleasant. The hose spreader shows $\sum$ value of 258, which lies in the limit one feels some odor and torment. Its combination with disk harrow has $\sum$ value 184, which means that a normal person can not smell any more. For the conventional spreader, the odor intensity indices from air dilution sensual test and 3 point odor bag as a sensual test were 66.9 and 35.4 respectively. On the other hand, the indices were 9.65 and 11.10 by hose spreader and its combination with disk harrow, which were lower than that of the regulation for industry. Therefore, the developed hose spreader showed an excellent effect on decreasing odor. The correlation between the results from odor tester and 3 point odor bag has shown 0.997 by swine slurry.

• Journal of Environmental Health Sciences
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• v.42 no.4
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• pp.246-254
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• 2016

Objectives: This study evaluated the odor emission characteristics from fundamental environmental facilities at an industrial complex area in Daegu City. Methods: The odor samples were collected from May 2015 to January 2016 and were analyzed for specified offensive odor substances. The odor quotient and the odor contribution was calculated. Results: Ammonia was detected in all samples monitoring specified odor compounds, followed by hydrogen sulfide and acetaldehyde. According to contribution analysis, hydrogen sulfide shows the highest contribution in all facilities. At wastewater treatment plants A and B and sewage treatment plant F, it was followed by acetaldehyde. At wastewater treatment plant C, it was followed by imethyl sulfide. Conclusion: The major component of odor can be determined by evaluating the degree of contribution to the odor intensity rather than the concentration of the individual odor components. To increase the effectiveness of odor reduction, policies focused on materials with a high odor contribution are needed rather than focusing on high-concentration odor compounds.

• Journal of Environmental Health Sciences
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• v.43 no.4
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• pp.314-323
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• 2017

Objectives: This study evaluated the odor emission characteristics from a wastewater treatment plant in an industrial complex area in Daegu City. Methods: Odor samples were collected from March 2016 to December 2016 and were analyzed for specified offensive odor substances. The odor quotient and the odor contribution was calculated. Results: Ammonia, hydrogen sulfide, acetaldehyde, and toluene were detected in all samples for monitoring specified odor compounds. The result of contribution analysis is that hydrogen sulfide had the highest contribution in all processes, followed by acetaldehyde. Conclusion: The major components of odor can be determined by evaluating the degree of contribution to the odor intensity and the concentration of the individual odor component. To increase the effectiveness of odor reduction, rather than addressing high-concentration odor compounds, policies focused on materials with a high odor contribution are necessary.

• Journal of Environmental Health Sciences
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• v.44 no.2
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• pp.178-187
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• 2018

Objectives: This study evaluated the odor emission characteristics from a sewage treatment plant near an industrial complex area in Daegu City. Methods: Odor samples were collected from March 2017 to December 2017 and analyzed for specified offensive odor substances. The odor quotient and the odor contribution were calculated. Results: Ammonia, methyl mercaptane, hydrogen sulfide, dimethyl sulfide, acetaldehyde, propionylaldehyde, toluene, xylene, and methylethylketone were detected in all samples for monitoring the specified odor compounds. The result of contribution analysis is that hydrogen sulfide made the highest contribution in all processes, followed by acetaldehyde. Conclusion: The major components of odor can be determined by evaluating their degree of contribution to the odor intensity and the concentration of the individual odor component. To increase the effectiveness of odor reduction, rather than addressing high-concentration odor compounds, policies focused on materials with a high odor contribution are necessary.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.33-43
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• 2010

In this paper, we propose a floral scent recognition using odor sensors and a odor display using odor distribution system. Proposed odor recognition has method of correlation coefficient between sensors that select optimal sensors in floral scent recognition system of selective multi-sensors. Proposed floral scent recognition system consists of four module such as floral scent acquisition module, optimal sensor decision module, entropy-based floral scent detection module, and floral scent recognition module. Odor distribution system consists of generation module of distribution information, control module of distribution, output module of distribution. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 96% using only 8 sensors. Also, we applied to odor display of proposed method and obtained 3.18 thorough MOS experimentation.

• Journal of Environmental Science International
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• v.27 no.9
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• pp.781-788
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• 2018

The volatile odor compounds emitted form a stuffing agent production process were quantified by ATD and GC-MS, and then odor causing compounds were identified by the method of EOI using each TLV. As the results, 72 odor compounds were detected and total concentration was turned up 87.6 ppmv level. In these compounds, aldehyde group is higher 45.49 ppmv than others group, the next is turn up the order of aliphatics, alcohols, esters, ketones. The EOA of aldehyde group show up 101,720 and 97.2%, respectively, the odor causing compounds were identified each of odor 2-Octenal 28.31%, Hexanal 24.06%, Valeraldehyde 16.07%, Butyraldehyde 9.69%, Heptanal 4.97%, Propionaldehyde 4.64%, Acetaldehyde 3.31%. The TLVs of 7 major odor compounds are lower value level of 0.001~0.0001 ppmv, odor causing even in trace level. We need to be concerned with reduction of aldehyde compounds in the odor problem by a stuffing agent production process or ironing process of the textile containing a stuffing agent.

• Journal of Environmental Science International
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• v.25 no.1
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• pp.155-161
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• 2016

In this study, field experiment, odor simulator, and dispersion modeling were used to evaluate the odor impact from J sewage sludge treatment facility. The height and flow rate of exhaust stack at this facility were 22.3 m and $100Nm^3/min$. The mean odor concentrations of the wet scrubber inlet and exhaust stack were $267{\pm}160$ and $93{\pm}44OU/m^3$, respectively. The odor removal efficiency of wet scrubber showed 65%. The odor simulator is used for the regulated standard calculation of the exhaust pipe(stack). Resulting odor emission rate(OER) by odor simulator was $2.4{\times}10^6(24,000OU/m^3)$. The forecasting result by Screen3 modeling showed that odor exhaust concentration up to $30,000OU/m^3$ was't exceeded maximum allowable emission level on site boundary($15OU/m^3$).