References
- Gyeonggi-do (2012) Industrial Complex Environment Management Office, http://iemo.gg.go.kr.
- Henry, R.C., Chang, Y.S., Spiegelman, C.H. (2002) Location nearby sources of air pollution by nonparametric regression of atmospheric concentrations on wind direction. Atmospheric Environment 36, 2237-2244. https://doi.org/10.1016/S1352-2310(02)00164-4
- Heo, J.B., Dulger, M., Olson, M.R., McGinnis, J.E., Shelton, B.R., Matsunaga, A., Sioutas, C., Schauer, J.J. (2013) Source apportionments of PM2.5 organic carbon using molecular marker Positive Matrix Factorization and comparison of results from different receptor models. Atmospheric Environment 73, 51-61. https://doi.org/10.1016/j.atmosenv.2013.03.004
- Heo, J.B., Hopke, P.K., Yi, S.M. (2009) Source apportionment of PM2.5 in Seoul, Korea. Atmos Chem Phys. 9, 4957-4971. https://doi.org/10.5194/acp-9-4957-2009
- Hopke, P.K. (1985) Receptor Modeling in Environmental Chemistry. New York, John Willy & Sons.
- Hwang, I.J. (2009) Estimation of source apportionment for semi-continuous PM2.5 and identification of location for local point sources at the St. Louis Supersite, USA. Journal of Korean Society for Atmospheric Environment 25, 154-166 (in Korean). https://doi.org/10.5572/KOSAE.2009.25.2.154
- Hwang, I.J., Hopke, P.K. (2006) Comparison of source apportionments of fine particulate matter at two San Jose Speciation Trends Network sites. Journal of the Air and Waste Management Association 56, 1287-1300. https://doi.org/10.1080/10473289.2006.10464586
- Hwang, I.J., Hopke, P.K. (2007) Estimation of source apportionment and potential source locations of PM2.5 at a west coastal IMPROVE site. Atmospheric Environment 41, 506-518. https://doi.org/10.1016/j.atmosenv.2006.08.043
- Hwang, I.J., Hopke, P.K. (2011) Comparison of source apportionment of PM2.5 using PMF2 and EPA PMF version 2. Asian Journal of Atmospheric Environment 5, 86-96. https://doi.org/10.5572/ajae.2011.5.2.086
- Hwang, I.J., Hopke, P.K., Pinto, J.P. (2008) Source apportionment and spatial distributions of coarse particles during the Regional Air Pollution Study. Environmental Science and Technology 42, 3524-3530. https://doi.org/10.1021/es0716204
-
Hwang, I.J., Kim, D.S. (2003) Estimation of quantitative source contribution of ambient
$PM_{10}$ using the PMF model. Journal of Korean Society for Atmospheric Environment 19, 719-731 (in Korean). - KEWP (Korea East-West Power Company) (2011) Korea East-West Power Sustainability Report. KEWP.
- Kim, E., Hopke, P.K. (2004) Comparison between Conditional Probability Function and Nonparametric Regression for Fine Particle Source Directions. Atmospheric Environment 38, 4667-4673. https://doi.org/10.1016/j.atmosenv.2004.05.035
- Kim, E., Hopke, P.K. (2007) Source identifications of airborne fine particles using positive matrix factorization and U.S. Environmental Protection Agency positive matrix factorization. Journal of Air and Waste Management Association 57(7), 811-819. https://doi.org/10.3155/1047-3289.57.7.811
-
Kim, K.S., Hwang, I.J., Kim, D.S. (2001) Development of a receptor methodology for quantitative assessment of ambient
$PM_{10}$ sources in Suwon area. Journal of Korean Society for Atmospheric Environment 17, 119-131 (in Korean). - KMA(Korea Meteorological Administration) (2007) Monthly weather report (March, 2007). KMA (in Korean).
- KMOE (Ministry of Environment, Korea) (2006) White Paper of Environment 2006. KMOE (in Korean).
- Lall, R., Ito, K., Thurston, G.D. (2011) Distributed lag analyses of daily hospital admissions and source-apportioned fine particle air pollution. Environmental Health Perspectives 119(4), 455-460.
- Lee, E., Chan, C.K., Paatero, P. (1999) Application of positive matrix factorization in source apportionment of particulate pollutants in Hong Kong. Atmospheric Environment 33(19), 3201-3212. https://doi.org/10.1016/S1352-2310(99)00113-2
-
NIER (2006) Investigation of formation process and establishment of emission reduction strategy for
$PM_{10}$ . Korea National Institute of Environmental Research. - Paatero, P. (1997) Least squares formulation of robust nonnegative factor analysis. Chemometrics and Intelligent Laboratory Systems 37, 23-35. https://doi.org/10.1016/S0169-7439(96)00044-5
- Paatero, P., Hopke, P.K. (2003) Discarding or downweighting high-noise variables in factor analytic models. Analytica Chimica Acta 490, 277-289. https://doi.org/10.1016/S0003-2670(02)01643-4
- Pitts. F.B.J., Pitts, J.N. (2000) Chemistry of the Upper and Lower Atmosphere. San Diego, Academic Press.
- Polissar, A.V., Hopke, P.K., Paatero, P., Malm, W.C., Sisler. J.F. (1998) Atmospheric aerosol over Alaska 2. Elemental composition and sources. Journal of Geophysical Research 103(D15), 19045-19057. https://doi.org/10.1029/98JD01212
- Seinfeld, J.H., Pandis, S.N. (1998) Atmospheric Chemistry and Physics, from Air Pollution to Climate Change. New York, John Wiley & Sons.
- US EPA. (1999) Air quality criteria for particulate matter, Volume I. EPA 600/P-99/002a, Washington, DC.
- Yoo, J.S., Kim, D.S., Kim, Y.S. (1995) Quantitative source estimation of PM-10 in Seoul area. Journal of Korean Air Pollution Research Association 11, 279-290 (in Korean).
- Zhao, W., Hopke, P.K. (2004) Source identification for fine aerosols in Mammoth Cave National Park. Atmospheric Research 80, 309-322.
Cited by
- Evaluating the applicability of a semi-continuous aerosol sampler to measure Asian dust particles vol.17, pp.3, 2015, https://doi.org/10.1039/C4EM00404C
- Source Apportionment of PM2.5 in Gyeongsan Using the PMF Model vol.31, pp.6, 2015, https://doi.org/10.5572/KOSAE.2015.31.6.508
- Source Apportionment of PM10 at Pyeongtaek Area Using Positive Matrix Factorization (PMF) Model vol.34, pp.6, 2018, https://doi.org/10.5572/KOSAE.2018.34.6.849
- Human health risks assessment for airborne PM10-bound metals in Seoul, Korea vol.26, pp.23, 2014, https://doi.org/10.1007/s11356-019-05213-y
- PMF 모델을 이용한 도심지역 PM2.5 오염원 기여도 분석 vol.36, pp.3, 2014, https://doi.org/10.12925/jkocs.2019.36.3.905