The influence of the weather conditions on main atmospheric pollutants concentration in Chengdu

DOI

10.2991/eesed-16.2017.71How to use a DOI?

Keywords

Weather Conditions; Atmospheric Pollution; Chengdu city

Abstract

Base on the meteorological data and the monitoring data (28/10/2013 ~ 16/5/ 2014) of the main atmospheric pollutants, PM2.5, PM10, CO, NO2 and SO2 of Chengdu, the comparative analysis of the relationship between the pollutant concentrations and meteorological conditions of Chengdu were carried out. The influence of meteorological conditions change on the atmospheric pollutants concentration was also discussed. Results showed that the air pollution of Chengdu is more serious when the wind is from southern area than the wind from the northern area. Pollutant concentrations were positively correlated with wind speed and humidity, and the outside sources is covering 10% ~ 40% when the wind is strong. Clearance ratio of rainfall to Chengdu air pollutants can reach more than 60%, and the scouring effect can reduce 40%~60% of the particulate matter. The influence of the temperature on the atmospheric pollution is mainly embodied in temperature inversion during the different seasons influencing the diffusion of the atmospheric pollutants. It is more conducive for pollutant diffusion on overcast days than cloudy days.

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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TY  - CONF
AU  - Qin Liu
AU  - Zeng-Wu Wang
AU  - Qian-Ru Ye
AU  - De-Ping Zhou
AU  - Xu Deng
AU  - Lei Hu
AU  - Hong-Ling Yin
PY  - 2016/08
DA  - 2016/08
TI  - The influence of the weather conditions on main atmospheric pollutants concentration in Chengdu
BT  - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
PB  - Atlantis Press
SP  - 513
EP  - 518
SN  - 2352-5401
UR  - https://doi.org/10.2991/eesed-16.2017.71
DO  - 10.2991/eesed-16.2017.71
ID  - Liu2016/08
ER  -