• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.273-279
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• 2007

환경분야에서 사용되는 대부분의 자료는 공간상 모든 위치에 그 값이 존재하나 모든 지점에서 자료를 획득하는 것이 불가능하므로 몇 개의 대표 지점에서 필요로 하는 자료를 수집한 후 이를 미관측 지역까지 확장하여 사용하게 된다. 관측된 자료를 이용하여 미관측 지점의 값을 예측하는 과정에는 공간보간 기법이 사용되는데, 본 논문에서는 지역경향면 모델, IDW, RBF, 크리깅 등의 공간보간 기법을 서울시의 미세먼지(PM10) 연평균 농도 공간보간에 적용하고 그 정확성을 살펴보았다. 정확성 평가를 위하여 예측값의 범위, RMSE, 평균오차 등을 살펴보았으며 이로부터 크리깅, RBF 기법의 예측 정확도가 높은 것으로 분석되었다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2008.04a
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• pp.394-395
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• 2008

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2010.04a
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• pp.483-484
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• 2010

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2009.10a
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• pp.272-273
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• 2009

• Journal of Environmental Science International
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• v.24 no.11
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• pp.1525-1540
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• 2015

In order to clarify the contribution rate of PM concentration due to regional emission distribution, Brute force analysis were carried out using numerical estimated PM data from WRF-CMAQ. The emission from Kyeongki region including Seoul metropolitan is the largest contribution of PM concentration than that from other regions except for emission of trans-country and source itself. Contribution rate of self emission is also the largest at Kyeongki region and its rate reach on over 95 %. And the rate at Gangwon region also higher than any region due to synoptic wind pattern. Due to synoptic wind direction at high PM episode, pollutants at downwind area along from west to east and from north to south tends to mix intensively and its composition is also complicated. Although the uncertainty of initial concentration of PM, the contribution of regional PM concentration tend to depend on the meteorological condition including intensity of synoptic and mesoscale wind and PM emission pattern over upwind region.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1289-1297
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• 2011

Objective of this study was to characterize $PM_{10}$ sources on subway tunnels and development of simple particulate matters measuring device based on wireless sensor network. A new wireless sensor module, PMX, has been designed and manufactured to measure $PM_{10}$ and$PM_{2.5}$ simultaneously. The measurements have been conducted at a specific subway station on the Seoul metro line. The accuracy of the device was verified and compared with commercial measuring device based on weighting method.

• Journal of the Korean earth science society
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• v.36 no.1
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• pp.90-108
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• 2015

The WRF-Chem model was applied to simulate the Asian dust event affecting the Korean Peninsula from 11 to 13 November 2010. GOCART dust emission schemes, RADM2 chemical mechanism, and MADE/SORGAM aerosol scheme were adopted within the WRF-Chem model to predict dust aerosol concentrations. The results in the model simulations were identified by comparing with the weather maps, satellite images, monitoring data of $PM_{10}$ concentration, and LIDAR images. The model results showed a good agreement with the long-range transport from the dust source area such as Northeastern China and Mongolia to the Korean Peninsula. Comparison of the time series of $PM_{10}$ concentration measured at Backnungdo showed that the correlation coefficient was 0.736, and the root mean square error was $192.73{\mu}g/m^3$. The spatial distribution of $PM_{10}$ concentration using the WRF-Chem model was similar to that of the $PM_{2.5}$ which were about a half of $PM_{10}$. Also, they were much alike in those of the UM-ADAM model simulated by the Korean Meteorological Administration. Meanwhile, the spatial distributions of $PM_{10}$ concentrations during the Asian dust events had relevance to those of both the wind speed of u component ($ms^{-1}$) and the PBL height (m). We performed a regressive analysis between $PM_{10}$ concentrations and two meteorological variables (u component and PBL) in the strong dust event in autumn (CASE 1, on 11 to 23 March 2010) and the weak dust event in spring (CASE 2, on 19 to 20 March 2011), respectively.

• Journal of Korean Society for Atmospheric Environment
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• v.24 no.1
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• pp.63-71
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• 2008

Local meteorological conditions exert a strong influence over day-to-day variations in air pollutant concentrations. Therefore, the meteorological fluctuations have to be removed in order for air quality planners and managers to examine underlying emissions-related trends and make better air quality management decisions for future. In this study, the meteorologically adjusted $PM_{10}$ trends in Seoul are investigated over the period $1999{\sim}2006$ using Kolmogorov-Zurbenco (KZ) filter. The result indicated that meteorologicaJ variability accounts for about 25% of $PM_{10}$ variability. Both the meteorologically adjusted and unadjusted Jong-term daily $PM_{10}$ concentrations had a significant downward trends and the difference between the meteorologically adjusted and unadjusted was small. So it was assumed that in long-term daily $PM_{10}$ changes, localized changes in emissions is more important than the changes caused by meteorological conditions.

• Journal of environmental and Sanitary engineering
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• v.24 no.3
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• pp.37-54
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• 2009

The study has analyzed impacts and intensity of weather that affect $PM_{10}$ concentration based on PM10 forecast conducted by the city of Seoul in order to identify ways to improve the accuracy of PM10 forecast. Variables that influence $PM_{10}$ concentration include not only velocity and direction of the wind and rainfalls, but also those including secondary particulate matter, which were identified to greatly influence the concentration in complicated manner as well. In addition, same variables were found to have different impacts depending on seasons and conditions of other variables. The study found out that improving accuracy of $PM_{10}$ concentration forecast face some limits as it is greatly influenced by the weather. As an estimation, this study assumed that basic research units and artificially estimated pollutant emissions, study on mechanisms of secondary particulate matter productions, observatory compliment, and enhanced forecaster's expertise are needed for better forecast.

• Journal of Environmental Science International
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• v.30 no.6
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• pp.475-485
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• 2021

This research investigated the characteristics of fine particles during cold front passage in Busan, on March 19, 2020. The cold front speed was 17.4 m/s (about 63k km/hr), moving from the northwest to the southeast, and with a width of about 64 km. The backward trajectory analysis showed that a southern sea air parcel flowed into Busan before the cold front passage, carrying continental materials from China transported into Busan after cold front passage. The PM₁₀ concentration in Busan showed a rapid increase after passing through the cold front, with PM_2.5 showing a high concentration during cold front passage. The PM_2.5/PM₁₀ ratio was 0.10 - 0.30. When the cold front passed, SO₄^2-, NO₃^-, Ca²⁺, NH₄⁺, Na⁺, and K⁺ in PM_2.5 showed a rapid increase, with SO₄^2- showing the most significant increase. These results indicated that understanding the characteristics of fine particles during cold front passage in Busan could provide insight into establishing a strategy to control urban air quality.