Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Evaluation of Beijing Air Quality Based on the Judgment Matrix

Authors
Ming Cheng
Corresponding Author
Ming Cheng
Available Online May 2017.
DOI
10.2991/msmee-17.2017.330How to use a DOI?
Keywords
air quality, PM2.5, evaluation, AHP
Abstract

With the quick advancement of the economy and industrialization, human beings have emitted a huge amount of pollutants, so the air contamination gets worse that largely influences the human health, ecological balance and social development. Air pollution, therefore, has become a focus all over the country. In order to study the serious problems like the sources and transformation of air pollutants, the paper included the statistics of Beijing air quality in the November and December of 2016. The goal was to build the air quality assessment model of Beijing in a more scientific, objective and reasonable way.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.330How to use a DOI?
Copyright
© 2017, 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  - Ming Cheng
PY  - 2017/05
DA  - 2017/05
TI  - Evaluation of Beijing Air Quality Based on the Judgment Matrix
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1808
EP  - 1811
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.330
DO  - 10.2991/msmee-17.2017.330
ID  - Cheng2017/05
ER  -