• Proceedings of the Korea Air Pollution Research Association Conference
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• 2005.11a
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• pp.466-467
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• 2005

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2005.11a
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• pp.456-458
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• 2005

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2005.11a
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• pp.306-307
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• 2005

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.05a
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• pp.61-62
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• 2004

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2004.05a
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• pp.276-277
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• 2004

• Proceedings of the Korean Nuclear Society Conference
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• 2004.05a
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• pp.454.1-454.1
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• 2004

• Journal of Korean Society on Water Environment
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• v.23 no.4
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• pp.434-439
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• 2007

Amended Water Quality Environment Preservation Law enacted that the areas where nonpoint pollution is serious can be designated as Nonpoint Source Management Region. According to Section 54 of Water Quality Environment Preservation Law, corresponding watersheds are areas where runoff from nonpoint pollution source may deteriorate river and lake water quality, residents' health and property, and ecosystem. The criteria are as followings; i) where nonpoint source contribution result in or will result in significant ecological destruction, iii) national or local industrial complexes and cities having population greater than one million where nonpoint source managements are necessary, iv) where specific measurement is necessary because of its geological and stratigraphic characteristics. In this research, detailed designation criteria was developed reflecting current nonpoint source management situation and its discharge characteristics. Depending on the result, target regions were also suggested. In additions, it will be desirable that the target regions are prioritized considering institutional execution availability, stakeholder's agreement, and connection with existing nonpoint source pollution management measures.

• Journal of Korean Society on Water Environment
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• v.33 no.1
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• pp.78-89
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• 2017

Water quality monitoring network data is being affected continuously due to non-point source pollution arising from agricultural land located on the Gwangsancheon outlet in the Nakdong River basin. In this study, we have performed analysis of water quality monitoring system, water quality pattern using SOM and water quality in the Gwangsancheon for sub-basin located at Gisan-myeon in the Nakdong River basin. We have developed and applied the model to estimate the runoff and non-point source loading. As a result of SOM pattern, the effect of non-point source pollution was the largest in the paddy fields and fields. As a result of the developed model, we found contribution rate and reduction rate for non-point source loading according to change of landuse because the reduction effect of nonpoint pollutants was 20.9% of SS, 9.9% of TN, 21.2% of TP and 8.9% of TOC depending on the landuse change.

• Journal of Korean Society for Atmospheric Environment
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• v.24 no.1
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• pp.30-42
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• 2008

In this study, the chemical compositions of $PM_{2.5}$ samples collected at the Redwood National Park IMPROVE site in California from March 1988 to May 2004 were analyzed to provide source identification and apportionment. A total of 1,640 samples were collected and 33 chemical species were analyzed by particle induced X-ray emission, proton elastic scattering analysis, photon induced X-ray fluorescence, ion chromatography, and thermal optical reflectance methods. Positive matrix factorization (PMF) was used to develop source profiles and to estimate their mass contributions. The PMF modeling identified five sources and the average mass was apportioned to motor vehicle (35.8%, $1.58\;{\mu}g/m^3$), aged sea salt (23.2%, $1.02\;{\mu}g/m^3$), fresh sea salt (21.4%, $0.94\;{\mu}g/m^3$), wood/field burning (16.1%, $0.71\;{\mu}g/m^3$), and airborne soil (3.5%, $0.15\;{\mu}g/m^3$), respectively. To analyze local source impacts from various wind directions, the CPF and NPR analyses were performed using source contribution results with the wind direction values measured at the site. These results suggested that sources of $PM_{2.5}$ are also sources of visibility degradation and then source apportionment studies derived for $PM_{2.5}$ are also used for understanding visibility problem.

• Journal of Korean Society for Atmospheric Environment
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• v.20 no.1
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• pp.17-31
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• 2004

The subway play an important part in serious traffic problems. However, because subway system is a closed environment, many serious air pollution problems occurred in subway stations and injured passenger's health. Therefor, it is a necessary to identify sources and to estimate pollutant sources in order to protect passenger's health and to keep clean subway environment. The purpose of this study was to analyze a air quality in the subway stations and to apply a new receptor methodology for quantitatively estimate of PM10 sources. In this study, the size distributions of particulate matters has been measured by using Aerosizer LD (U.S.A., API, Inc.). It's real time measurement capability of time-of-flight technique offers a significant advantage of user convenience and air pollution management. Also, the mass concentrations of PM 10 has been measured by using mini-vol portable sampler (U.S.A., Airmetrics Co.). The sampling performed in Seoul subway stations during the period of February 2000 and April 2000. The number distribution data used in this study consisted of 26 raw data sets in the Jongno-sam-ga station. Correlation Analysis can be used in subway stations for source separation and identification. Then, number contribution from each source is determined by the particle number balance (PNB). The mass concentration data used in this study consisted of 31 raw data in the 8 different stations. The mass contributions of PM10 sources in the concourse by using PMF/CMB model.