Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)

Review of Atmospheric Exposure Assessment

Authors
Mengqi Wu
Corresponding Author
Mengqi Wu
Available Online December 2019.
DOI
10.2991/sschd-19.2019.122How to use a DOI?
Keywords
Atmospheric exposure assessment, Land use regression model, Approach the model, Interpolation method. Diffusion model.
Abstract

Long-term exposure to air pollution can lead to an increase in the incidence and mortality of respiratory and cardiovascular diseases. This article mainly discusses in recent years the academic circles of atmospheric exposure assessment related research results, through combing reading atmospheric exposure assessment of the relevant literature, clarifying the concept of atmospheric exposure assessment, and the integration based on previous studies, the paper points out others study.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2019
ISBN
978-94-6252-859-8
ISSN
2352-5398
DOI
10.2991/sschd-19.2019.122How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mengqi Wu
PY  - 2019/12
DA  - 2019/12
TI  - Review of Atmospheric Exposure Assessment
BT  - Proceedings of the 5th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2019)
PB  - Atlantis Press
SP  - 602
EP  - 606
SN  - 2352-5398
UR  - https://doi.org/10.2991/sschd-19.2019.122
DO  - 10.2991/sschd-19.2019.122
ID  - Wu2019/12
ER  -