Research On Carbon Emission Of Urban Energy Consumption In Hunan Province Supported By Nighttime Light Remote Sensing Technology

As one of the major carbon emitters,China is facing the dual pressure of rapid economic development and CO2 emission reduction.It is of great significance to accurately grasp the temporal and spatial characteristics of carbon emissions and formulate regionally differentiated emission reduction policies based on local conditions.However,it is difficult to realize longterm series,multi-level,multi-angle monitoring and research on changes in spatio-temporal characteristics based on traditional carbon emission statistical data evaluation methods.Therefore,this article is based on the long-term series of DMSP?OLS,with Hunan Province as the research area,and the year 2010 to 2019 is the time span to study the carbon emissions of urban energy in Hunan Province.Firstly,perform data preprocessing such as denoising,correction,and desaturation on luminous data;then simulate DMSP?OLS through NPP?VIIRS to realize the integration of luminous data for a longer time sequence;then extract urban construction land through luminous data;finally combine the IPCC inventory method to obtain Carry out the inversion of the urban energy carbon emission model based on luminous data based on the urban energy carbon emission statistics data,and complete the assessment of the temporal and spatial characteristics of urban energy carbon emissions in Hunan Province.The main content and conclusions of the research:(1)This article simulates DMSP?OLS from 2014 to 2019 based on NPP?VIIRS.The study uses county-level administrative scales in China's mainland as the simulation area to establish the relationship model between DMSP?OLS and NPP?VIIRS.Through screening,it is found that the power function regression equation is the most suitable integrated model.After completing the NPP?VIIRS simulation DMSP?OLS,based on the 2010DMSP?OLS,the continuity correction of the simulated DMSP?OLS from 2014 to 2019 is performed to obtain the 2014 to 2019 The simulation DMSP?OLS in 2019.(2)A high-precision extraction method for UBLI's construction land is proposed.Compared with the other three methods of extracting construction land,this method can effectively eliminate bare soil and low vegetation coverage areas that are indistinguishable in NDBI and IBI.In the follow-up accuracy verification,the overall accuracy of UBLI's extraction of construction land was as high as 94%,the producer's accuracy and the user's accuracy were94.1% and 88.9%,respectively,and the Kappa coefficient was 79.22%.(3)Combining energy statistics and luminous data,a model of the relationship between lighting values and urban energy carbon emissions at the city and county scale in Hunan Province was established.Research shows that there is an excellent linear relationship between the total light intensity of the luminous data and the urban energy carbon emissions,and the quadratic polynomial fit is the highest in the linear model.In the follow-up accuracy check and effect evaluation,the correlation coefficient between the statistical value and the simulated value from 2010 to 2019 all reached 0.94 or more,which shows that the built fitting model has a good overall effect.The overall relative error of the largest and smallest provincial level was2.6977% in 2011 and 5.5035% in 2017,respectively.(4)Evaluated the urban energy carbon emission levels of cities and counties in Hunan Province from 2010 to 2019.The spatial autocorrelation method and the standard deviation ellipse method are used to explore the changes in the spatial pattern of urban energy carbon emissions in Hunan Province,and the comprehensive changes in the urban energy carbon emissions of cities and counties in Hunan Province are further explored from different levels and angles using statistical testing and temporal trends.Happening.Research shows that the overall trend of urban energy carbon emissions in Hunan Province is on the rise from 2010 to2019,and the growth rate can be divided into three stages.The spatial accumulation of energy carbon emissions in cities at the county level has become more and more obvious.During the period from 2010 to 2019,39 county-level urban energy carbon emissions in Hunan Province belonged to the rapid growth type,33 county-level scales belonged to the rapid growth type,41county-level scales belonged to the flat growth type,and 7 The county-level scale belongs to the slow-growing type,and two other county-level scales belong to the insignificant type.From2010 to 2019,the overall direction of the spatial distribution of urban energy carbon emissions in Hunan Province is to move from west to east.