| Global climate change and air pollution have gradually become serious problems affecting human existence and life.In recent years,the variation of air pollution fluctuates greatly in China.Air pollution is affected by many factors.It is very beneficial for the research on air pollution and human health problems to fully consider the population distribution of underlying surface and the pollution duration and explore the exposure intensity of air pollution.To explore the effect of complex meteorological factors on air quality and to study the potential risk degree of air pollution under multi-factor meteorological factors is beneficial to make up for the limitation and uncertainty of single factor evaluation results.Research on prevention and control of multi-factor air pollution can comprehensively reveal the spatial distribution law of air pollution risk areas under various index elements.Based on China's ministry of environmental protection provided by the pollutants monitoring site data of 3231 districts and 2290 meteorological site data,the discrete data space,the methods of wavelet analysis in 2014-20174 a preliminary study of the air quality data and analysis for nearly four years in our country air quality changes in time and space characteristics,combined with the population distribution data of remote sensing,and the increasing pollution length factors of modified national exposure intensity exposure intensity model research,coupled with a variety of meteorological factors,and through multiple linear stepwise regression method,The risk assessment model of air pollution degree under multi-meteorological factors is constructed,and then the risk degree of national air pollution under meteorological factors is evaluated.Based on the air quality monitoring station data,meteorological data and remote sensing population data,this paper conducted the national air quality,exposure intensity and risk degree assessment of multi-meteorological factors in 2014-2017.The main conclusions are as follows:1.In the four years from 2014 to 2017,China's air quality heavy pollution areas presented two heavy pollution areas in northwest and north China in terms of spatial distribution,and from the perspective of spatial distribution,the annual mean value in the north was higher than that in the south.In terms of the law of annual mean change of air quality,2015 was the year with the highest mean value.From 2014 to 2015,it was the period of rising pollution.Starting from the end of 2015,the national air quality began to fall steadily,and the air quality index dropped steadily,showing a gradually better trend.2.In terms of the exposure intensity,the exposure intensity was the highest in 2014 due to the pollution duration,and gradually decreased from 2014 to 2017.From the significance level of the aggregation area,it can be seen that the aggregation effect of high pollution in north China is gradually disappearing,while the low aggregation area also shows a weakening trend,the stable situation of the low pollution area is weakened,and the pollution situation presents a space-time jump.According to the wavelet analysis,the air quality presents the periodic oscillation rule,the monthly periodic oscillation is 20-41 days,the bi-weekly oscillation is 8-23 days,and the single-week oscillation is 2-8 days.3.Affecting the air quality of meteorological factors are discussed in the study area,points out the different regions of the main meteorological factors affecting the air quality,the same meteorological factors in different degree of impact on air quality in the study area,it is concluded that China more than 2017 meteorological factors under atmospheric pollution degree of risk distribution,extracted the high risk area area and on the basis of the study area,the main meteorological factors affecting the air quality,the contrast analysis of the risk formation natural social factors. |
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