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Application of Positive Matrix Factorization in the Identification of the Sources of PM2.5 in Taipei City

Bibliographic Data

ID15507675
AuthorsWen-Yuan Ho (Taipei City Government, corresponding author), Kuo‐Hsin Tseng (0000-0003-3581-076X, Taipei City Government), Kuo-Hsin Tseng (Taipei City Government), Ming-Lone Liou (Taipei City Government), Chang-Chuan Chan (National Taiwan University), Chang‐Chuan Chan (0000-0002-7518-5236, National Taiwan University), Chia‐Hung Wang (0000-0001-5700-8108), Chia-hung Wang (Sinotech Engineering Services, Ltd., 12 Floor, No. 171, Section 5, Nanjing E. Road, Songshan District, Taipei 105, Taiwan)
Year2018
Volume15
Issue7
Pages1305-1305
Publication date2018-06-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15071305
PMID29933645
OpenAlexW2809103179
LanguageEN
Citations received2
References cited32

Fine particulate matter (PM 2.5 ) has a small particle size, which allows it to directly enter the respiratory mucosa and reach the alveoli and even the blood. Many countries are already aware of the adverse effects of PM 2.5 , and determination of the sources of PM 2.5 is a critical step in reducing its concentration to protect public health. This study monitored PM 2.5 in the summer (during the southwest monsoon season) of 2017. Three online monitoring systems were used to continuously collect hourly concentrations of key chemical components of PM 2.5 , including anions, cations, carbon, heavy metals, and precursor gases, for 24 h per day. The sum of the concentrations of each compound obtained from the online monitoring systems is similar to the actual PM 2.5 concentration (98.75%). This result suggests that the on-line monitoring system of this study covers relatively complete chemical compounds. Positive matrix factorization (PMF) was adopted to explore and examine the proportion of each source that contributed to the total PM 2.5 concentration. According to the source contribution analysis, 55% of PM 2.5 can be attributed to local pollutant sources, and the remaining 45% can be attributed to pollutants emitted outside Taipei City. During the high-PM 2.5 -concentration (episode) period, the pollutant conversion rates were higher than usual due to the occurrence of vigorous photochemical reactions. Moreover, once pollutants are emitted by external stationary pollutant sources, they move with pollution air masses and undergo photochemical reactions, resulting in increases in the secondary pollutant concentrations of PM 2.5 . The vertical monitoring data indicate that there is a significant increase in PM 2.5 concentration at high altitudes. High-altitude PM 2.5 will descend to the ground and thereby affect the ground-level PM 2.5 concentration

Aerosol · Air pollution · Geography · Meteorology · Particulates · Pollutant · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Chemistry · Environmental Science · Environmental Chemistry · Pollution

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Unique citing works2
Citations per year0.25
Citation span2018 - 2023 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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