Characteristics of Atmospheric Visibility and Its Relationship with Air Pollution in Korea-Reference-Cited by-同舟云学术

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Characteristics of Atmospheric Visibility and Its Relationship with Air Pollution in Korea

Published:2014-09 Issue:5 Volume:43 Page:1519-1526
ISSN:0047-2425
Container-title:Journal of Environmental Quality
language:en
Short-container-title:J. Environ. Qual.

Author:

Lee Jeong-Young¹,Jo Wan-Kuen²,Chun Ho-Hwan³

Affiliation:

1. Daegu Regional Office of Korean Ministry of Environment; Daegu 704-888 Korea

2. Dep. of Environmental Engineering; Kyungpook National Univ.; Daegu 702-701 Korea

3. Dep. of Naval Architecture and Ocean Engineering; Pusan National Univ.; 63 Jangjeon-dong, Geumjeong-gu Busan 609-735 Korea

Funder

National Research Foundation of Korea

Korean government

GCRC-SOP

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Waste Management and Disposal,Water Science and Technology,Environmental Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2134/jeq2014.02.0066/fullpdf

Reference32 articles.

1. Gas-phase tropospheric chemistry of biogenic volatile organic compounds: A review;Atkinson;Atmos. Environ.,2003

2. Multi-day ozone production potential of volatile organic compounds calculated with a tagging approach;Butler;Atmos. Environ.,2011

3. Visibility trends in six megacities in China 1973-2007;Chang;Atmos. Res.,2009

4. Long-term atmospheric visibility trend in Southeast China, 1973-2010;Deng;Atmos. Environ.,2012

5. Characterization of visibility and its affecting factors over Nanjing, China;Deng;Atmos. Res.,2011

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2. A new integrated prediction method of river level based on spatiotemporal correlation;Stochastic Environmental Research and Risk Assessment;2023-12-05

3. Short-Term Visibility Prediction Using Tree-Based Machine Learning Algorithms and Numerical Weather Prediction Data;Weather and Forecasting;2022-12

4. Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm;Aerosol and Air Quality Research;2022

5. A fuzzy multiple linear regression model based on meteorological factors for air quality index forecast;Journal of Intelligent & Fuzzy Systems;2021-05-11

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