Spatial and temporal variability of air quality in Shanghai in 2015
Li Liu, Lihuan He, Yu Bai, Mi Zhou, Fengying Zhang, Yirui Wu, Guowei Gao, Yang Yu
Abstract
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Li Liu, Lihuan He, Yu Bai, Mi Zhou, Fengying Zhang, Yirui Wu, Guowei Gao, Yang Yu
Abstract
Open-access reader
In order to understand the temporal-spatial patterns of air pollutants in Shanghai, the concentrations of six air pollutants (SO2, NO2, PM10, PM2.5, CO, O3) and air quality index (AQI) were analyzed. The results showed that, the percentage of excellent/good-AQI days was 70.7% during the whole year of 2015, and PM2.5, O3 and NO2 were the main air pollutants in Shanghai. Besides, the air quality in winter was most serious, followed by that in spring and autumn, and the air quality in summer was the best. From the perspective of spatial distribution, monitoring stations in YangpuSipiao and Putuo which were located in the urban area were affected by traditional industries and the air quality were poor, while those in Chuansha and Zhangjiang of Pudong which were located on the edge of the city showed relatively good air quality.
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In order to understand the temporal-spatial patterns of air pollutants in Shanghai, the concentrations of six air pollutants (SO2, NO2, PM10, PM2.5, CO, O3) and air quality index (AQI) were analyzed. The results showed that, the percentage of excellent/good-AQI days was 70.7% during the whole year of 2015, and PM2.5, O3 and NO2 were the main air pollutants in Shanghai. Besides, the air quality in winter was most serious, followed by that in spring and autumn, and the air quality in summer was the best. From the perspective of spatial distribution, monitoring stations in YangpuSipiao and Putuo which were located in the urban area were affected by traditional industries and the air quality were poor, while those in Chuansha and Zhangjiang of Pudong which were located on the edge of the city showed relatively good air quality.
Key concepts: Air quality index, Environmental science, Pollutant, Air pollutants, Spatial distribution, Air pollution, Spatial variability, Air monitoring