Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

Study on the Response of PM2.5 Pollution to Land Use Change Based on GIS

Authors
Ping Zhang, Liang He, Yajuan Zhou, Peishu Huo, Wenbiao Tian
Corresponding Author
Ping Zhang
Available Online February 2017.
DOI
https://doi.org/10.2991/emcm-16.2017.172How to use a DOI?
Keywords
Geographic Information System; PM2.5; Land use; Change; Response
Abstract
PM2.5 pollution is harmful to human health and ecological environment, and effective control of PM2.5 pollution has important practical significance for regional sustainable development. This paper analyzed the impact of land use change on PM2.5 pollution based on Geographic Information System (GIS), the results showed that: Xi'an has the largest arable land, accounted for 37% of the total area, followed by forest cover with 32%, grass land and construction land accounted for 15%, respectively, and water bodies and unused land accounted for 0.01%, respectively. The seasonal order of PM2.5 pollution in Xi'an in 2014 was: winter> spring> autumn> summer. The highest concentration of PM2.5 in winter is 151-198 ug/m3, the high pollution area is mainly distributed in the south-central and north-central, the middle pollution zone is mainly in the west and the east, the low pollution area is mainly distributed in the central and northeast. There was a significant negative correlation between PM2.5 concentration and water bodies in summer, the correlation coefficient was -0.601. However, PM2.5 concentration was positively correlated with arable land in autumn, the correlation coefficient was 0.603. The results could provide the scientific basis for prevention and control of PM2.5 pollution.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Part of series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
978-94-6252-297-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcm-16.2017.172How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ping Zhang
AU  - Liang He
AU  - Yajuan Zhou
AU  - Peishu Huo
AU  - Wenbiao Tian
PY  - 2017/02
DA  - 2017/02
TI  - Study on the Response of PM2.5 Pollution to Land Use Change Based on GIS
BT  - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.172
DO  - https://doi.org/10.2991/emcm-16.2017.172
ID  - Zhang2017/02
ER  -