Enhancing source identification of hourly PM2.5 data in Seoul based on a dataset segmentation scheme by positive matrix factorization (PMF)-Reference-Cited by-同舟云学术

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Enhancing source identification of hourly PM2.5 data in Seoul based on a dataset segmentation scheme by positive matrix factorization (PMF)

Published:2019-07 Issue:4 Volume:10 Page:1042-1059
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

Park Min-Bin,Lee Tae-Jung,Lee Eun-Sun,Kim Dong-Sool

Funder

Kyung Hee University

NIER

Ministry of Land, Infrastructure, and Transport

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

Reference99 articles.

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3. AIRUSE-LIFE+: a harmonized PM speciation and source apportionment in five southern European cities;Amato;Atmos. Chem. Phys.,2016

4. Air pollution and mortality: a history;Anderson;Atmos. Environ.,2009

5. Ionic composition and size characteristics of particles in the lower Fraser Valley: Pacofoc 2001 field study;Anlauf;Atmos. Environ.,2006

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