Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)-Reference-Cited by-同舟云学术

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Predicting PM10 concentration in Seoul metropolitan subway stations using artificial neural network (ANN)

Published:2018-01 Issue: Volume:341 Page:75-82
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Park Sechan,Kim Minjeong,Kim Minhae,Namgung Hyeong-Gyu,Kim Ki-Tae,Cho Kyung Hwa,Kwon Soon-Bark

Funder

Korea Ministry of Land, Infrastructure and Transport

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference28 articles.

1. The London underground dust and hazards to health;Seaton;Occup. Environ. Med.,2005

2. Subway particles are more genotoxic than street particles and induce oxidative stress in cultured human lung cells;Karlsson;Chem. Res. Toxicol.,2005

3. Health effects of fine particulate air pollution: lines that connect;Pope;J. Air Waste Manage. Assoc.,2006

4. Air pollution-related illness:effects of particles;Nel Atmosphere;Science,2005

5. A new look at inhalable metalliferous airborne particles on rail subway platforms;Moreno;Sci. Total Environ.,2015

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