| With the acceleration of urbanization and industrialization,land use changes caused by human production and life and carbon dioxide produced by consumption of fossil energy have led to increasing greenhouse effect.Therefore,how to realize the development of low-carbon life has become the focus of attention and research.In this context,China put forward the strategic goals of"peak carbon dioxide emissions"and"carbon neutrality"and integrated them into the overall planning of ecological civilization construction,aiming at realizing the green transformation of economic structure,boosting high-quality development and alleviating the adverse impact of climate change on social economy.Since the production activities of human society all take land as the carrier,and then a large number of greenhouse gases are generated,in order to achieve the goal of carbon emission reduction,it is necessary to study the changes of land use and carbon emission and their relationship,so as to provide scientific suggestions for promoting the benign development of decoupling economic development and land use carbon emission in the study area and promote the high-quality development of the region.In this paper,the Guanzhong Plain urban agglomeration in Shaanxi Province is taken as the research area,and four remote sensing images from 2005 to 2020 are interpreted and processed.Based on the processing results,the land use change in the research area in the past15 years is explored through the land use change measurement model.Collect the data of fossil energy consumption in the study area,calculate the carbon emission by using the calculation formula of carbon emission,and use the tools of spatial autocorrelation and cold hot spots in Arc GIS software to carry out spatial clustering analysis on carbon emission;Through LMDI model,the contribution degree of each influencing factor to land use carbon emission is explored.Finally,Tapio decoupling elasticity theory is introduced to analyze the relationship between economic growth and land use carbon emissions.The main conclusions are as follows:(1)During the whole research period,the current situation of land use is mainly cultivated land,woodland,grassland and construction land,among which cultivated land is the largest,accounting for about 45%of the total area,showing a continuous decline;The gradually slows down,with the transfer between cultivated land,construction land,woodland and grassland as the main factor.Construction land,cultivated land and grassland are the land types with the largest transfer area,which are 1018.766km~2,636.649km~2and 625.339km~2;respectively.Among them,the main transfer source of construction land is cultivated land,which is 950.605km~2;The main sources of cultivated land are grassland and construction land,which are transferred to 377.068km~2and 127.332km~2;respectively.The main sources of grassland transfer are cultivated land and forest land,which are transferred to 333.564km~2and 242.055km~2respectively.(2)During the whole study period,the carbon source in the study area showed a continuous upward trend,and the carbon sink first rose and then declined.The carbon source mainly came from the fossil energy consumed by human activities on the construction land,which contributed more than 95%to the net carbon emission,while the carbon sink mainly came from the forest land,which also contributed more than95%to the carbon sink.The net carbon emissions continued to rise,from 26,860,961 tons in 2005 to115,672,829 tons in 2020,and the total net carbon emissions reached 288,071,573 tons.Among them,from2005 to 2010,the net carbon emissions increased by 22,711,457 tons,with an increase rate of 84.552%;From 2010 to 2015,the growth rate of net carbon emissions continued to rise,with an increase of46,392,943 tons,with an increase rate of 93.586%.During 2015-2020,compared with the previous two research periods,the increase of net carbon emissions decreased significantly,with an increase of only20.536%and an increase of 19.707467 million tons,indicating that the level of social development is no longer measured by GDP growth rate,but more attention is paid to green ecological sustainable development.(3)Carbon sources and net carbon emissions have obvious spatial agglomeration characteristics in the whole study area.The high-value hotspots of carbon sources and net carbon emissions are mainly distributed in Xi’an,Xianyang and Weinan,all of which are the main urban areas.The low-value cold spots of carbon source and net carbon emission are mainly distributed in chencang district,Taibai County,Changwu County,Binzhou City and yijun county City,Tongchuan City.During the whole research period,the distribution of cold hot spots changed,but the trend of carbon source and net carbon emission hot spots remained unchanged.The results of local spatial autocorrelation analysis of carbon sinks show that there are spatial agglomeration characteristics in the whole study area.The high-value hot spots of carbon sinks are distributed in Weibin District and Fengxian County of Baoji City,and the cold spots of carbon sinks are mainly distributed in Xi’an City,Xianyang City and Weinan City.(4)During the whole study period,GDP per capita is the most important factor to promote the growth of carbon emissions from land use in the study area,and the area of construction land is an important factor to increase carbon emissions from land use in the study area;Energy consumption intensity is the most important factor to inhibit the growth of carbon emissions from land use,and population density is an important factor to inhibit the growth of carbon emissions from land use in the study area.The decoupling index of carbon emissions from land use and economic growth is 0.580,which shows a weak decoupling state,indicating that the economy and carbon emissions increase at the same time,but the increase rate is greater than the increase rate of carbon emissions.Among them,the decoupling States of three research periods are weak decoupling,expanded connection and weak decoupling respectively.The decomposition results of decoupling elasticity index of influencing factors show that energy consumption intensity is the strongest factor to promote the development of decoupling effect between land use carbon emissions and economic development in the study area,followed by population density;Per capita GDP is the strongest factor that inhibits the development of decoupling effect between land use carbon emissions and economic development,and the area of construction land has a weaker inhibitory effect on the development of decoupling effect than per capita GDP. |
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