Study on the relationship between meteorological elements and air pollution at different time scales based on KZ filtering
ZHANG Jie-qiong1, WANG Ya-qian1, GAO Shuang1, CHENG Li1, MAO Jian1, SUN Yan-ling1, MA Zhen-xing1, XIAO Jian2, ZHANG Hui1
1. School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China;
2. Tianjin Jinnan Meteorological Bureau, Tianjin 300350, China
Air pollution condition is affected by meteorological elements and emissions from air pollution sources. In order to evaluate the effect of air pollution control measures, we need to separate the contributions from air pollution sources. In this study, the KZ filter was used to decompose the time series of three pollutants including O3, PM2.5 and PM10 as well as time series of several meteorological factors into long-term, short-term and seasonal components. Data of air pollutants were collected from six air quality monitoring sites in Tianjin during 2015~2017. The contribution of each component to the total variance of the original air quality data was calculated. Stepwise regression was used to establish the relationship between air pollutants (O3, PM2.5 and PM10) and meteorological variables for each time scale. Our results showed that seasonal component contributed most to the total variance, followed by short-term component. Temperature and relative humidity were the major factors affecting seasonal and short-term changes of O3. Temperature was positively correlated with short-term component. Relative humidity was negatively correlated with the seasonal component of O3; Wind speed, air pressure and precipitation were negatively correlated with particle concentrations at short-term and seasonal time scales. Relative humidity was positively correlated with them. Temperature was positively correlated with short-term component of particles, and was negatively correlated with seasonal component. Long-term concentration of PM10 showed a downward trend after removing the effects of meteorological factors. The concentration of PM2.5 increased in early 2017, and for the rest of the study time periods, its concentration showed a downward trend. The long-term concentration of O3 was increased during the studied years. We can conclude that the effect of particulate pollution control measures was significant. However, the pollution of O3 was aggravated.
张洁琼, 王雅倩, 高爽, 陈莉, 毛健, 孙艳玲, 马振兴, 肖健, 张辉. 不同时间尺度气象要素与空气污染关系的KZ滤波研究[J]. 中国环境科学, 2018, 38(10): 3662-3672.
ZHANG Jie-qiong, WANG Ya-qian, GAO Shuang, CHENG Li, MAO Jian, SUN Yan-ling, MA Zhen-xing, XIAO Jian, ZHANG Hui. Study on the relationship between meteorological elements and air pollution at different time scales based on KZ filtering. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(10): 3662-3672.
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