Abstract
The changing of AQI presented by historical observations has significant meaning to the urban air pollution prevention. In order to explore the correlation between air quality and meteorological condition in Beijing from 2014 to 2017, researchers processed 52165 sample data from 35 air monitor stations by means of R statistical software, analyzed the spatial temporal distribution characteristics of air quality index (AQI) with Kriging and mathematical statistics and did the research on correlation between spatial temporal distribution characteristics of AQI and meteorological condition. The results showed that (1) the spatial increasing trend of AQI is obvious from the north to the south in Beijing zone, representing that the air quality is getting worse from the north to the south; (2) the diurnal variation of daily AQI value reveals interannual periodic trend and a relatively great fluctuating range from 485 to 0. (3) The correlation coefficients of daily AQI mean with average temperature, specific humidity and wind speed are −0.116, −0.073 and −0.192 respectively, displaying that all of the three factors are negatively correlated with AQI and average temperature and wind speed are significantly negatively correlated. The results provide a reference for regional environmental management and pollution prevention and control.
Highlights
With the rapid development of economy and urbanization, the city air pollution has become one of the most severe environmental problems in China [1]
It is concluded that the correlation of daily air quality index (AQI) mean with average temperature, average speci c humidity and average wind speed in di erent years is negative correlation, but the correlation sizes of di erent years are di erent, and the correlation of 2016 is greater than that of 2017
Conclusions e spatial distribution of AQI values in Beijing have gradient characteristics that the air quality index decreases from the north to the central region and increases from the central region to the south, and such gradient characteristics are more obvious in winter than in spring. e collected data shows that in Beijing, the rate of AQI value in level two is the highest, up to about 30%; as well, the rate of AQI in level one is up to about 55%. e ratio of days with pollution is high in winter but low in summer
Summary
With the rapid development of economy and urbanization, the city air pollution has become one of the most severe environmental problems in China [1]. Among the most common developed air quality models, CMAQ (Community Multiscale Air Quality) is mainly used to simulate the discharge of urban particulate pollutants under certain meteorological conditions [7] While developing countries such as Iran and India place emphasis on the changing trends and characteristics of major air pollutants [8,9,10]. Domestic related research mainly includes algorithm, change trend analysis, air quality assessment model, and the e ects of air pollution on human health, etc. Related research has proved that the main factors a ecting air quality are industrial emissions from urban areas and their surroundings [23] Among those factors, meteorological condition is an in uential one correlated with air pollutant concentration obviously, and its constitutive elements include relative humidity, wind speed, precipitation and atmospheric temperature, etc. Erefore, in the current research, researchers take Beijing air quality and meteorological factors as objects, collect the 2014–2017 real time data of air quality index and related meteorological factors, analyze the spatial temporal distribution characteristics of Beijing AQI and its correlation with local meteorological factors via statistical analysis and Kriging method, refer to former research data and nally conclude the main factors in uencing AQI. e signi cance of the research is to help the Beijing environmental governance
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