Spatial Characteristics And Influencing Factors Of Haze In Six Provinces In Central China

In recent years,the occurrence of haze and the frequency of continuous improvement,haze problem has been concerned about.Capital University of Economics and Business,Institute of Statistics organized by the urban residents living environment perception index survey,more than half of the respondents made it clear that their lives in varying degrees received the impact of pollution.Haze problem not only to people's daily life and health has brought a serious threat,but also to the economy has brought huge losses.It is not enough to try to improve the fog of the six provinces in the central six provinces,but also to consider the regional problems.There are some spatial dependencies in the fog of the six provinces in the central region and the surrounding areas.The existence of spatial dependencies in geographical location destroys the sample independence hypothesis of most classical statistical analyzes,so the classical statistical methods are applied directly to geographically related data,and the spatial dependence of these data is generally not available.This article adopts the method of spatial statistical analysis of the six provinces in central smog problem.On the basis of summarizing and summarizing the domestic haze pollution and the study of air pollution control,this paper studies the actual situation of haze in the provinces of the six provinces in central China and the central cities in the central six provinces in 2014.Firstly,the basic information such as topography,industrial development status and energy use status of the six provinces in central China are introduced.Then,there is a significant spatial autocorrelation between the number of haze days in the major cities in China by means of spatial statistical analysis.The number of haze days in the northern region is greater than the number of haze days in the southern region,and the number of haze days in the inland areas is greater than the haze days in the coastal areas.A large area of high value is formed between the local area of the central six provinces and the haze days in the surrounding area,indicating that the haze days in the central region of the central six provinces are high and are of high value Surrounded by.Then,the number of haze days between the cities and counties in the central six provinces was analyzed.The variables of haze days were selected as the dependent variables by correlation analysis and regression analysis.The urbanization level,the gross industrial output value,the per capita GDP The above-mentioned industrial added value,Huffman coefficient,total energy consumption and industrial emissions are selected as independent variables into the model.The results show that the industrial structure of the city is more inclined to light industry,the number of haze days is less.The above-scale industrial output value,per capita GDP,total energy consumption and industrial emissions will significantly affect the number of haze days in the central six provinces,including gross industrial output value,GDP per capita,total energy consumption and industrial emissions And there was a significant positive correlation with haze days.Next we use the method of spatial statistics to obtain the positive spatial autocorrelation of the haze days between the provinces and cities in the central six provinces.It can be seen from the Moran scatter plot of the six provinces in the central part of the year.Indicators(LISA)have significant implications for cities such as Pingdingshan,Anyang,Jiujiang,Datong,Nanchang and Wuhan.Pingdingshan and Anyang,the two cities have a very high haze index value,and the two cities connected to the surrounding cities also have a high haze index value.Jiujiang and Datong,the two cities have a lower haze index value,but by the surrounding high haze index area surrounded by low value is surrounded by high value.Nanchang haze index is low,the surrounding area of the haze index is also low,that is,low value is surrounded by low value.Wuhan has a high air pollution index and its surrounding areas of the air pollution index is relatively low,that is,high value is surrounded by low value.The local indicators of spatial contact have important implications for Pingdingshan,Anyang,Datong,Jiujiang,Nanchang and Wuhan,most of which are in the first quadrant and the second quadrant,indicating that most of the six provinces in the central region are high values-high values And low value-high value distribution characteristics.Finally,by analyzing the influencing factors of the fog of the six provinces in the central part of China and the results of the analysis of the spatial statistics,the suggestions to improve the haze of the six provinces in the central part of China are put forward.First,to improve the foggy weather conditions in the six provinces of the central region,it is necessary to simultaneously improve the haze weather conditions in the central six provinces and the surrounding areas.Second,increase the air quality of the monitoring points,combined with linkage mechanism.Third,adjust the industrial structure,change the mode of development.Fourth,increase investment in environmental protection funds to promote universal participation in environmental protection.