• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.11a
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• pp.82-83
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• 2004

• Journal of Korean Society for Atmospheric Environment
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• v.25 no.1
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• pp.15-25
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• 2009

Donghae city is one of the most representative cement industrial city in Korea. The area is faced with the East Sea to the East and with high montane region of Tae-Back mountain range to the West. Many pollutant sources of air pollution are located near the coast, but the largest point sources of the region are located at the bottom of the mountain area in Donghae city. The local wind is highly affected by local topography and plays an important role in transport and dispersion of contaminants from the pollution sources. This study was designed to evaluate enhancement of MM5 predictions by using Four Dimensional Data Assimilation (FDDA), the SONDE data and the national meteorological station, data only. The alternative meteorological fields predicted with and without FDDA were used to simulate spatial and temporal variations of NOx in combined with Atmospheric Dispersion Models (CALPUFF). For the modeling domain, the alternative meteorological fields with 1.1 km spatial resolution were interpolated to the CALMET with 0.5 km resolution. The vertical layers set to have 35 and 12 layers for MM5 and CALPUFF, respectively. MM5 with the FDDA did not resulted in significant improvement of meteorological field prediction in Donghae region, which is primarily because of complex geography and wind scheme. The result of CALPUFF, however, showed reduction of uncertainty errors by using the interpolation scheme of the actual measurement data.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2006.10a
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• pp.161-163
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• 2006

• Korean Chemical Engineering Research
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• v.54 no.1
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• pp.22-35
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• 2016

In this study CALPUFF modeling was performed to establish a correlation between regions of frequent civil odor complaints near Gumi national industrial complex and odor-emission facilities of synthetic fiber manufacturers in the same area as main acetaldehyde-emission point sources. As a result of the CALPUFF modeling, the maximum concentration of acetaldehyde in Gumi national industrial complex was reduced from O ($10^{-5}g/m^3$) to O ($10^{-6}g/m^3$) upon improving emission facilities of T company so that the maximum concentrations of acetaldehyde frequently appeared in complex 3. In addition, the predicted range of the maximum acetaldehyde concentration in Gumi national industrial complex was also improved in comparison with that prior to improving emission facilities of T company. These maximum concentrations of acetaldehyde obtained to estimate the expected contribution of total acetaldehyde point source by CALPUFF modeling showed the similar values to those measured in 'HAPs investigation in the region of Gumi-Daegu' and were consistent to the trend of civil odor complaints. Therefore, the expected contribution of total acetaldehyde point source was validated. The relative contribution of T company upon improving its emission facilities was predicted to be lowered by more than factor of two, compared to that prior to improving its emission facilities. To the contrary, the relative contribution of W company upon improving emission facilities of T company was predicted to be increased by more than factor of two, compared to that prior to improving emission facilities of T company. This indicates that the contribution of aldehyde point sources of W company was relatively increased upon improving emission facilities of T company.

• Korean Chemical Engineering Research
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• v.54 no.2
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• pp.187-199
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• 2016

In this study CALPUFF modeling was performed to predict a contribution of a separate single point pollutant source as well as of total point pollutant sources of major synthetic fiber manufacturers in Gumi national industrial complex to atmospheric trimethylamine concentration of the same area. In addition, a contribution of the separate single point pollution source to the atmospheric trimethylamine concentration of the same area was estimated relatively to the total point pollutant sources. As a result of the CALPUFF modeling, the maximum atmospheric concentration of trimethylamine in Gumi national industrial complex was appeared upon improving T company emission facility frequently in complex 3 in winter (January) and spring (April) while frequently in complex 1 in summer (July) and autumn (October). Besides, the predicted range of the maximum atmospheric concentration of trimethylamine in complex 1 was improved upon improving its emission facility. However, even though in complex 3 the upper bound of the predicted maximum atmospheric concentrations of trimethylamine was increased upon improving T company emission facility, the predicted value of their second upper bound below the upper bound was very similar to the upper bound of measured atmospheric trimethylamine concentrations in Gumi prior to improving its emission facility. Thus, the effect of improving T company emission facility was estimated huge in complex 1 while it was trivial in complex 3. These maximum concentrations of trimethylamine predicted to estimate the expected contribution of total point pollutant sources by CALPUFF modeling showed the similar values to those measured in the region of Gumi. Therefore, the expected contribution of total point pollutant sources to atmospheric trimethylamine concentration in the area of Gumi was validated.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.1-4
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• 2011

악취 유발 사업장 및 지자체에서 사용하고 있는 악취 관리 모델링 시스템의 핵심 모듈을 최근 Intel에서 발표한 멀티코어(multi-core) 기술과 OpenMP 기술을 이용하여 고성능 병렬처리에 의한 실시간 시스템으로 개선하였다. 기존의 기상 모델인 CALMET 모델과 대기질 모델인 CALPUFF 모델은 배출원 갯수와 모델링 영역의 격자 갯수 증가에 따라 모델링 수행 시간이 기하급수적으로 증가한다. 악취는 그 특성상 모델링 수행시간을 짧게 할수록 악취모델링 결과를 효과적으로 사용할 수 있다. 따라서 모델링 수행시간을 단축하기 위해 여러 개의 CPU Core를 동시에 사용하여 병렬로 작업을 처리하는 멀티코어 기술을 접목하여, 기존의 CALPUFF를 실시간 모델링이 가능한 고성능 모델링 시스템으로 개발하였다. 실험 결과 Core의 수가 증가하면 Amdahl의 법칙에 준하여 가속화되었다.

• Journal of Climate Change Research
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• v.8 no.2
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• pp.81-89
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• 2017

In this study CALPUFF was used to estimate the influence of temperature rise, according to the observation value of temperature rise based RCP scenario, on meteorological elements (wind direction, wind speed, mixing height) and the change of pollutant diffusion. According to the result. applying estimated value of year 2050 temperature rise, the mixing height is increased as per the temperature rise, so the range of atmospheric diffusion is widened. In summer case, by applying temperature rise of $4^{\circ}C$ and comparing with before applying temperature rise, there was change of diffusion range as per the change of temperature between 10 AM to 11 PM. And the range of diffusion was wider than that of before temperature rise. In winter case, by applying estimated value of temperature rise, $2.3^{\circ}C$, diffusion range has been changed between 8 AM to 4 PM, showing different diffusion aspect from summer. Also, according to the result of air pollution level assessment with temperature rise, it was proved that the ratio of area with increasing air pollution level has been getting higher by increase of temperature.

• Journal of Korean Society for Atmospheric Environment
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• v.23 no.4
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• pp.405-419
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• 2007

A series of tracer experiments for the evaluation of atmospheric dispersion was performed over the urban area of Seoul using two inert, non-deposition perfluorocarbon (PMCH and m-PDCH) gases during three years campaign on 2002, 2003 and 2005. 30 sampling sites for collecting these tracers were located along two arcs of 2.5 and 5 kilometers downwind from the release point. About ten measurements which each lasted for 2 hours or 4 hours were made over the two consecutive days during each campaign. CALPUFF and MM5 meteorological model were applied to evaluate the urban dispersion in detail. Size of Modeling domain was $27\;km{\times}23\;km$ and the fine nest in the modeling domain had a grid size of 0.5 km. The results showed that CALPUFF dispersion model had a tendency to estimate tracer concentrations about $2{\sim}5$ times less than those of ambient samples under many conditions. These consistent inaccuracy in urban dispersion was attributed to inherent inaccuracy and lack of details in terrain data at urban area.

• Journal of Integrative Natural Science
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• v.11 no.1
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• pp.30-38
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• 2018

CALPUFF is one of the recommended air pollution models by EPA with AERMOD. It has been used to simulate the ambient concentration of critical air pollutants as well as non-critical pollutants such as persistent organic matters and the organic materials causing odor. In this model, the air pollutants go through dispersion, transportation, chemical reaction, and deposition process. These mechanisms are significantly influenced by meteorological condition. This study produces the meteorological field in three different methods for the simulation of $SO_2$ using CALPUFF: 1) CALMET model by using both ground-level and aerological observation, 2) CALMET model by using MM5 results with NCEP/NCAR reanalyzed data, 3) CALMET model by using MM5 results in which FDDA is applied with NCEP/NCAR reanalyzed data as well as the meteorological data of Korea Meteorological Administration. As a result of CALPUFF model, the resolved concentration of $SO_2$ showed different behaviors in three cases. For the first case, the fluctuation of SO2 concentration was frequently observed while the fluctuation is reduced in the second and third cases. In addition, the maximum concentration of $SO_2$ in the first case was about 2~3 times higher than the second case, and about 4~6 times higher than the third case. These results can be caused by the accuracy of the resolved meteorological field. It is inferred that the meteorological field of the first case could be less accurate than other two cases. These results show that the use of correct meteorological data can improve the result of dispersion model. Moreover, the contribution of various sources such as point, line, and area sources on the ambient concentration of air pollutant can be roughly estimated from the sensitivity analysis.

• Design & Manufacturing
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• v.15 no.2
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• pp.49-55
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• 2021

In this study, CALPUFF, a three-dimensional atmospheric diffusion model, was used to predict the degree of influence of pollutants generated during clean center operation on surrounding areas. To drive the CALPUFF model, CALMET, a weather field calculation model, was used. Due to the influence of the wind field, air pollutants from the Clean Center diffused in the southeast direction, increasing the distribution area. SOx satisfies atmospheric environmental standards with an annual average value of 0.02 ppm or less NOx satisfies atmospheric environmental standards with an annual average value of 0.03 ppm or less. Dust (PM-10) satisfies atmospheric environmental standards with an annual average value of 50㎍/m³ or less and 24 hours average value of 100㎍/m³ or less. CO satisfies atmospheric environmental standards with an 8 hours average value of 9 ppm or less and an 1 hour average value of 25 ppm or less.