EPA-PMF 모델을 이용한 집중측정소 24시간 PM2.5 자료에 대한 오염원 기여도 추정

• Published in: 한국대기환경학회지(국문) Vol. 36; no. 5; pp. 620 - 632
• Main Authors: 황인조(InJo Hwang), 이승묵(Seung-Muk Yi), 박진수(Jinsoo Park)
• Format: Journal Article
• Language: Korean
• Published: 한국대기환경학회 01.10.2020
• Subjects: 대기과학; EPA-PMF; PM< source contribution; supersite; SUB> 2.5&lt
• ISSN: 1598-7132; 2383-5346
• DOI: 10.5572/KOSAE.2020.36.5.620

The objective of this study was to estimate PM2.5 source contributions using the filter-based PM2.5 data collected from the two air pollution monitoring supersites. The PM2.5 samples collected at Seoul supersite and central region supersite from January 2014 to December 2014. This study used EPA-PMF model to estimate the source profiles and their mass contributions. In the case of the Seoul supersite, the average mass was apportioned to secondary nitrate (24.3%), secondary sulfate (20.8%), vehicles (15.7%), wood/field burning (13.8%), incinerator (6.8%), coal combustion (6.7%), industry (4.2%), oil combustion (3.4%), soil (2.5%), and road emission (1.8%). In the case of the central region supersite, the average mass was apportioned to secondary nitrate (25.3%), secondary sulfate (20.7%), vehicles (14.1%), coal combustion (13.4%), wood/field burning (8.4%), soil (8.1%), oil combustion (4.4%), aged sea salt (4.0%), and industry (1.6%). As mentioned before, in order to prevent the occurrence of high concentration of PM2.5, it is necessary to intensive management of secondary nitrate and secondary sulfate. Although, the PMF model has many adventages, it also has several disadvantages. Currently, the standardization of the PMF modeling procedure is in progress, so it is suggest that researchers can accurately estimate the source contributions. KCI Citation Count: 0