Affiliation:
1. Harbin Institute of Technology
2. Shenzhen National Climate Observatory
3. Harbin Institute of Technology Shenzhen Graduate School
Abstract
Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.
Publisher
Trans Tech Publications, Ltd.
Cited by
5 articles.
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