| At present,countries in the world are actively developing low-carbon economies,and my country has also taken the initiative to undertake the task of reducing carbon emissions.In September 2020,General Secretary Xi Jinping proposed at the 75 th UN General Assembly that China is committed to achieving a carbon peak by 2030 and achieving carbon neutrality by 2060.In recent years,my country’s carbon emission reduction pressure is huge,and it has become an issue that must be taken into account in my country’s economic development.Changsha is a core city in the middle reaches of the Yangtze River economic belt and urban agglomeration.In recent years,it has developed rapidly in economic development and urban construction.At the same time,the increase in land demand brought about by economic development has also increased the pressure of carbon emission reduction.This thesis studies the changes in land use in Changsha in 15 years,finds out the changes in carbon source and carbon sink area,calculates the carbon emissions in Changsha in 15 years according to the carbon emission coefficient and carbon emission model,and uses Geoda and Arc GIS10.5software to analyze Changsha.Temporal and spatial changes of carbon emissions and spatial autocorrelation.On this basis,according to the LMDI model,the influencing factors of land use carbon emissions in Changsha City are analyzed,with a view to providing a basis and policy guidance path for Changsha City to reduce land use carbon emissions.(1)Select typical remote sensing images from 2004 to 2018,use ENVI software to process the data,apply supervision and classification to interpret the fourth phase land use type data of Changsha City,and analyze the land use changes in Changsha City.The research results show that the land use change in Changsha City from 2004 to 2018 is characterized by a rapid increase in construction land,a significant decrease in arable land,little change in woodland area,overall decrease in water area,and slow decrease in unused land.(2)Calculate the net carbon emissions from land use through the statistics of energy consumption data and the carbon emission coefficients of various regions through the "Statistical Yearbook of Hunan Province".Studies have shown that the carbon absorption of Changsha City did not change significantly from 2004 to 2018,while carbon emissions and net carbon emissions have changed significantly.Mainly affected by the decrease in construction land and cultivated land area,mainly due to the decrease in energy consumption of construction land.This is reflected in the optimization of the industrial structure and adjustment of the energy structure in Changsha City.(3)Analyze the spatial difference of carbon emissions from land use in Changsha City based on Geoda and Arc GIS software,and analyze the regional spatial autocorrelation.Studies have shown that the total net carbon emissions in the central city are less than those in the surrounding districts and counties.From the perspective of the average carbon emission intensity,the average carbon emission intensity of the central urban area is higher than the surrounding districts and counties.Using Geoda software to analyze the spatial autocorrelation of land use carbon emissions in Changsha and draw the LISA agglomeration map,it was found that the cold spot area was mainly located in the downtown area of Changsha during the four years.(4)Using the LMDI decomposition model,the land use structure and socio-economic factors are included in the research on the influencing factors of land use carbon emissions in Changsha.The research results show that the carbon emission intensity per unit of land use has changed from a positive impact to a negative impact in the initial stage of the research.Land use efficiency has always been negative,and both are the key factors to curb carbon emissions from land use.Land use structure,population size and per capita GDP have always had a positive effect on land use carbon emissions. |
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