Identification of source areas of polycyclic aromatic hydrocarbons in Ulsan, South Korea, using hybrid receptor models and the conditional bivariate probability function-Reference-Cited by-同舟云学术

Identification of source areas of polycyclic aromatic hydrocarbons in Ulsan, South Korea, using hybrid receptor models and the conditional bivariate probability function

Published:2022 Issue:1 Volume:24 Page:140-151
ISSN:2050-7887
Container-title:Environmental Science: Processes & Impacts
language:en
Short-container-title:Environ. Sci.: Processes Impacts

Author:

Nguyen Tuyet Nam Thi¹²,Vuong Quang Tran¹^ORCID,Lee Sang-Jin¹,Xiao Hang³,Choi Sung-Deuk¹^ORCID

Affiliation:

1. Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea

2. Faculty of Environmental Science, Saigon University, Ho Chi Minh City, 72710, Vietnam

3. Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China

Abstract

This study identifies the emission source areas for the atmospheric polycyclic aromatic hydrocarbons (PAHs) detected in Ulsan, South Korea.

Funder

Ministry of Education, Science and Technology

Korea Institute of Energy Technology Evaluation and Planning

Rural Development Administration

Publisher

Royal Society of Chemistry (RSC)

Subject

Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine

Link

http://pubs.rsc.org/en/content/articlepdf/2022/EM/D1EM00320H

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