Study on the Response of PM2.5 Pollution to Land Use Change Based on GIS
- DOI
- 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.
- 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 - 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 - Proceedings of the 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 - 10.2991/emcm-16.2017.172 ID - Zhang2017/02 ER -