The influence of the weather conditions on main atmospheric pollutants concentration in Chengdu
- https://doi.org/10.2991/eesed-16.2017.71How to use a DOI?
- Weather Conditions; Atmospheric Pollution; Chengdu city
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.
- © 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 - 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 - https://doi.org/10.2991/eesed-16.2017.71 ID - Liu2016/08 ER -