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PMF 모델을 이용한 경산지역 PM2.5의 오염원 기여도 추정

Source Apportionment of PM2.5 in Gyeongsan Using the PMF Model

  • 정영진 (대구대학교 환경공학과) ;
  • 황인조 (대구대학교 환경공학과)
  • Jeong, YeongJin (Department of Environmental Engineering, Daegu University) ;
  • Hwang, InJo (Department of Environmental Engineering, Daegu University)
  • 투고 : 2015.08.26
  • 심사 : 2015.11.26
  • 발행 : 2015.12.31

초록

The objective of this study was to quantitatively estimate $PM_{2.5}$ source contribution in Gyeongsan. Ambient $PM_{2.5}$ samples have been collected on zefluor, quartz and nylasorb filter by $PM_{2.5}$ samplers of cyclone method from September 2010 to December 2012. Collected samples were analyzed for determining 17 inorganic elements, 8 ions, and 8 carbon components after pretreatment. Based on these chemical information, the PMF model was applied to estimate the quantitative contribution of air pollution sources. The results of the PMF modeling showed that the sources were apportioned by biomass burning source (15.5%), secondary sulfate source (16.0%), industry source (10.4%), soil source (7.0%), gasoline source (9.1%), incinerator source (10.4%), diesel emission source (11.0%), and secondary nitrate source (20.6%), respectively. To analyze local source impacts from various wind directions, the CPF analysis were performed using source contribution results with the wind direction values measured at the site.

키워드

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피인용 문헌

  1. -Part II vol.32, pp.2, 2016, https://doi.org/10.5572/KOSAE.2016.32.2.158
  2. from Stationary Sources vol.32, pp.6, 2016, https://doi.org/10.5572/KOSAE.2016.32.6.603
  3. 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