Identification of Pollution Characteristics of PM2.5 Using a Geographic Information System and Statistical Tools: A Case Study of the Southeastern and Southern Regions of South Korea-Reference-Cited by-同舟云学术

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Identification of Pollution Characteristics of PM2.5 Using a Geographic Information System and Statistical Tools: A Case Study of the Southeastern and Southern Regions of South Korea

Published:2023-08-31 Issue:4 Volume:39 Page:478-491
ISSN:1598-7132
Container-title:Journal of Korean Society for Atmospheric Environment
language:en
Short-container-title:KOSAE

Author:

Ju Jeong-Tae,Lee Sang-Jin,Choi Jong Hyuk,Kim Sung Tae,Song In Ho,Jung Hae-Jin,Shin Hye Jung,Park Jung Min,Choi Sung-Deuk

Funder

National Institute of Environmental Research

Publisher

Korean Society for Atmospheric Environment

Subject

Pollution,Environmental Science (miscellaneous),Environmental Chemistry,Environmental Engineering

Reference28 articles.

1. The characteristics and mixing states of PM2.5 during a winter dust storm in Ningbo of the Yangtze River Delta, China

2. A Big Data Analysis of PM2.5 and PM10 from Low Cost Air Quality Sensors near Traffic Areas

3. Trace Metals in Soot and PM2.5 from Heavy-Fuel-Oil Combustion in a Marine Engine

4. Characterization and Source Identification of Heavy Metals in Ambient PM10 and PM2.5 in an Integrated Iron and Steel Industry Zone Compared with a Background Site

5. Air pollution risks human mental health: an implication of two-stages least squares estimation of interaction effects

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