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Analysis On The Spatial-temporal Pattern And Influencing Factors Of Carbon Emission In The Yellow River Basin

Posted on:2024-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y L DengFull Text:PDF
GTID:2531307091478774Subject:Cartography and Geographic Information System
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With the rapid development of China’s economy,carbon emissions have been at a high level for a long time,especially in the context of dual carbon,currently facing dual pressure from domestic and international carbon emissions reduction,reducing carbon emissions has a long way to go.As the main source of energy resources such as coal and oil and the national ecological corridor,the Yellow River Basin has a prominent contradiction between economic development issues and ecological protection issues.River basin governance aimed at carbon emission reduction has become an urgent issue in the Yellow River Basin.Among them,scientific estimation and dynamic monitoring of long-term carbon emissions in the Yellow River basin can provide scientific basis for formulating and implementing carbon emission reduction strategies,ecological protection,and high-quality development in the Yellow River basin,which has important practical significance at present.Based on two types of night light data,DMSP/OLS(2000~2013)and NPP/VIIRS(2012~2020),this paper obtains night light data in a long time series from2000 to 2020 through various correction processes,and establishes a fitting model with the carbon emission statistical data of the Yellow River basin to spatially simulate the carbon emissions of different scale regions of the Yellow River basin.Based on this,exploratory spatial data analysis,hot spot analysis,and other methods are used to study the temporal variation and spatial distribution characteristics of multi-scale carbon emissions in the Yellow River basin,and key influencing factors are selected to analyze the influencing factors of the spatial and temporal distribution pattern of carbon emissions in the Yellow River basin using the geographic detector method.Through research,the following conclusions can be obtained.(1)The total carbon emissions from energy consumption in the Yellow River Basin are on the rise.At the provincial level,the coal resources and industrial development of each province in the Yellow River Basin have a significant impact on carbon emissions.High and high carbon emission regions are Shanxi Province,Shandong Province,Inner Mongolia Autonomous Region,and Henan Province,while low carbon emission regions are mainly distributed in the western region of the Yellow River Basin.At the municipal level,the high carbon emission areas in the Yellow River Basin exhibit a spatial change characteristic of first expanding and then contracting,with significant internal differences.In terms of time evolution,the carbon emission reduction cities show an overall northward trend.At the county level,the overall carbon emissions in the Yellow River basin show a growth trend,and the growth rate within each county varies significantly.(2)The multi-scale carbon emissions in the Yellow River basin present a significant global spatial positive correlation,and the correlation degree of the global positive correlation is increasing year by year,indicating that the multi-scale carbon emissions in the Yellow River basin tend to be more spatially concentrated.At the provincial level,the economically developed coastal province of Shandong Province is a hot spot for carbon emissions,exhibiting high concentration,while the economically underdeveloped western region of the Yellow River Basin(such as Gansu Province)is a cold spot for carbon emissions,exhibiting low concentration.At the municipal level,the number of cities with high and low carbon emissions in the Yellow River Basin is relatively large,and the significant spatial type is mainly positive correlation,and both show a trend of first increasing,then decreasing,and then increasing,consistent with the trend of significantly positive correlation between the number of cities and the proportion of significant regions.The spatial agglomeration type of carbon emissions at the county level is mainly characterized by a significant positive correlation,which is mainly caused by the aggregation trend caused by the aggregation areas formed by high carbon and low carbon respectively.High and high concentration hot spots are mainly distributed in Shandong in the lower reaches of the Yellow River and some counties in Shanxi,Shaanxi,and Inner Mongolia,which are rich in coal resources.Their distribution scale continues to expand over time.The hot spots gradually expand to Ordos,Luliang,and Yulin in Inner Mongolia,while low concentration and cold spot areas do not show an expansion trend,but the distribution scope continues to show a scale pattern,It is mainly distributed in Sichuan and Gansu Qinghai Ningxia regions.(3)The spatial variability of carbon emissions in the Yellow River basin is the result of the joint action of various influencing factors.Economic development level and fixed assets investment have always played a strong role in the spatial differentiation of carbon emissions in prefecture level cities in the Yellow River basin.Population size and urbanization level also have a significant impact on carbon emissions,while industrial structure and carbon emission intensity have a small impact on carbon emissions(single factor exploration),but the latter’s role in carbon emissions is significantly enhanced after interacting with fixed assets investment and GDP,And the intensity of interaction between two pairs is significantly enhanced compared to any single factor(interaction factor detection).The interaction between fixed assets investment and economic development level and population size,urbanization level,industrial structure and carbon emission intensity is the main force to promote the sustainable growth of carbon emissions in the Yellow River basin.
Keywords/Search Tags:Night light data, Yellow River basin, Carbon emissions, Time and space characteristics, Influence factor
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