Study On Spatio-Temporal Dynamic And Driving Forces Of NO_x Generation From Energy Consumption In China Based On Nighttime Light Data

Since China’s NO_x emissions are mainly derived from energy consumption,it is necessary to accurately grasp the temporal and spatial patterns of energy consumption NO_x emissions and their impact mechanisms,which has important reference significance for formulating scientific and reasonable emission reduction measures.Night light data has been widely used in carbon emissions research,which provides a theoretical basis for NO_x emissions,which are also mainly derived from the combustion of fossil fuels.However,the application of night light data in NO_xemissions is still in its infancy.On the basis of the existing research,based on the data of China,this article has made a new exploration of the relationship between NO_xemissions and night lights,trying to establish a reasonable model between the two,so as to estimate the city-level NO_x emissions of China through night light data.And conduct research on the influencing factors of NOx emissions at the municipal level.Through the comparison of estimation models,this paper established a quadratic polynomial model of night light data and provincial NO_x emission data,estimated China’s municipal-level NO_x emissions,and verified the accuracy with statistical data.On this basis,the exploratory spatial autocorrelation method was used to analyze the temporal and spatial patterns of changes in NO_x emissions at the provincial and municipal levels.Based on the spatial regression model,the influence mechanism of energy intensity,population,GDP per capita,and the proportion of tertiary industry on NO_x emissions on the provincial and municipal scales are discussed.The main conclusions of this article are as follows:(1)From 2000 to 2016,China’s annual energy consumption NO_x emissions showed an overall upward trend,but they declined year by year since 2011 until 2016.Thermal power generation,industry,and transportation are the main three economic sectors of NO_x emissions from energy consumption in China,and coal is the most important source of fuel emissions.(2)From2000 to 2016,the NO_x emissions of energy consumption in most regions of the country present a low level and a slow decline,while high-emission areas and high-growth areas account for the smallest area and are mainly distributed in developed cities in the central and eastern regions.(3)Spatial autocorrelation analysis shows that China’s provincial energy consumption NO_x emissions have significant spatial agglomeration.The"H-H"cluster is mainly distributed in the central and eastern provinces,while the"L-L"cluster is mainly distributed in the western provinces,and the distribution pattern is relatively stable.(4)NO_x emissions from energy consumption at the prefecture-level city scale also have significant spatial agglomeration characteristics,and from 2000 to 2016,the spatial agglomeration has increased significantly."H-H"cluster and"L-L"cluster are the two most important modes,with significant changes in number and distribution.(5)Regardless of the provincial or municipal scales,the growth of energy intensity,population,and per capita GDP will promote NO_x emissions generation from energy consumption,but the correlation coefficients of the same influencing factor at different scales have different trends over time.The correlation coefficient of the proportion of the tertiary industry is not significant,indicating that its impact on NO_x emissions is relatively small.