Source apportionment and potential source locations of PM2.5 and PM2.5-10 at residential sites in metropolitan Bangkok

บทความในวารสาร

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Wimolwattanapun W., Hopke P.K., Pongkiatkul P.

ผู้เผยแพร่: Elsevier

ปีที่เผยแพร่ (ค.ศ.): 2011

วารสาร: Atmospheric Pollution Research (1309-1042)

Volume number: 2

Issue number: 2

หน้าแรก: 172

หน้าสุดท้าย: 181

จำนวนหน้า: 10

นอก: 1309-1042

eISSN: 1309-1042

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855216652&doi=10.5094%2fAPR.2011.022&partnerID=40&md5=cf5bce9f7a9b7c98aec186735ae924c8

ภาษา: English-Great Britain (EN-GB)

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บทคัดย่อ

Fine and coarse fractions of PM10 (PM2.5 and PM2.5-10, respectively) were collected from January 2003 to December 2007 at an urban Bangkok site (Chatuchak district) and a suburban site (Klongha district, Pathumthani) in Thailand. The filter samples were analyzed for mass, black carbon, and up to 28 elements were determined using instrumental neutron activation analysis and Particle-Induced X-ray Emission (PIXE). The long-term database shows that PM mass at the urban area had higher mass, black carbon, and some elements than the one at the suburban area. Furthermore, it is found that mass and elemental concentrations were generally elevated in the coarse fractions whereas black carbon was the major content in fine fractions. Positive Matrix Factorization (PMF) and multiple linear regression were applied to investigate for PM source fingerprints and apportionment. Source contributions and wind direction influence were also examined by use of conditional probability function (CPF) and potential source contribution function (PSCF). The PMF results indicated that major sources contributed to coarse fractions were soil, construction, whereas traffic and biomass burning were the major sources for fine fractions. CPF and PSCF models assisted in determining of the potential locations and/or the preferred pathways of these possible sources. ฉ Author(s) 2011.

คำสำคัญ

Positive matrix factorization, Receptor models, Source identification