Multiscale Analysis Of Spatiotemporal Pattern Of Carbon Sources And Sinks In Yangtze River Delta

On the national level, the study of carbon source and carbon sink has been relatively more, but due to data constraints and other factors, the research on the regional carbon source and carbon sink, especially the multiple city level is relatively less. As there are differences of the areas, the characteristics of carbon emissions in different areas have differences, the study for regional carbon source and carbon sink is more conducive to understanding the composition and major sources of the carbon emissions, and also better to understand the guidance to regional emission reduction work.The Yangtze River Delta is the sixth largest urban agglomeration in the world, and also one of the most developed regions in China. The urbanization level in this area is very high, the rapid economic development and human disturbance degree so bring a huge energy and resource consumption. Research on the spatiotemporal pattern of carbon source and carbon sink in Yangtze River Delta region helps us understand the spatial distribution and emission structure of carbon emission, put forward corresponding suggestions on emission reduction, and to provide theoretical supports for decision makers. The work is typical and regional.Therefore, the study area is the Yangtze River Delta area. From the regional scales and urban scales, namely the angle of two provinces with one city and 25 cities, analyze the spatiotemporal pattern of the carbon source and carbon sink in the Yangtze River Delta region. This paper researched the characteristics of carbon source and carbon sink from 1995 to 2013, up to 19 years evolution, exhaust the structure of carbon emission in the region through the identification of emission in different sectors. Combined with the spatial change of land use, comprehensively analyzed the spatial characteristics of the carbon sources and carbon sinks, this study quantified the spatial net emission intensity of different land use types. After unified the list carbon emissions for accounting multi spatial scale, this study used a combination of multi-source data, namely the statistical data, remote sensing data and night light data through statistical analysis, data fitting and linear interpolation method. Finally, study the factors decomposition of carbon emissions in 25 cities of the Yangtze River Delta region with the aspects of population, economic and other factors impact on carbon emissions quantitative analysis. Based on the results of calculation and analysis, we make recommendations to the carbon emission reduction direction of the Yangtze River Delta region.