564 / 2019-02-28 22:53:47

Analysis on Spatiotemporal Characteristics of Hourly PM2.5 Observations in Xiangyang, China

PM2.5 concentration; Spatiotemporal characteristics; Diurnal pattern; Day-of-week pattern; Micro air pollution monitoring station

High level of PM2.5 concentration is demonstrated to have adverse impact on human health. However, fewer prefecture-level cities have been explored. This paper statistically studies daily and hourly spatiotemporal characteristics of PM2.5 concentration in Xiangyang on February 2018 with 164 mirco air pollution monitoring stations. Principle component analysis and k-means algorithm are jointly applied to categorize dense stations into 4 clusters in analyses of daily, day-of-week, and diurnal patterns. Primarily, enhanced celebrating activities of Chinese New Year have contributed to an extreme PM2.5 concentration from 15 February to 21 February. Secondly, critical average PM2.5 concentrations brought in by inbound and outbound traffic are observed on Friday and Monday. Additionally, the situation of PM2.5 on weekends is better than that on weekdays is a result of not working on weekends. Ascribed to the fixed commuting time, distinct PM2.5 concentrations are exhibited in rush hours (6:00 - 10:00, 18:00 - 21:00).