京津冀城市群碳排放空间格局与影响机制研究

As a research perspective on the relationship between the city and the carbon emissions, in view of high carbon emissions of our country city group, Set JingjinJi city group as the case area. Comprehensive use of geography, economics and system science principle, field investigation combined with remote sensing survey, land use and population distribution data, based on the spatial analysis, simulation, measurement and statistics analysis, put carbon emissions statistics of the administrative unit case district area related energy use into 1km grid space, revealing the spatial variation of carbon emissions in 1km grid of Beijing Tianjin and Hebei city group in 1990,2000,2005,2010.Use LMDI model to do a comprehensive assessment of the typical elements in the process of urbanization and changing trends of carbon emissions on urban spatial patterns, which to explore the main human factors influence and mechanism of carbon emissions during urbanization. Based on the carbon emissions spatial pattern and capital circle strategic economic development, research the regional cooperation framework for the development of low-carbon urban agglomeration. Explore the 1km grid scale spatialization simulate approach to use the energy consumption statistics of urban agglomerations internal carbon emission pattern combined use of remote sensing and GIS technology. Provide a scientific basis for the development of low-carbon urban agglomeration of Beijing, Tianjin and Hebei, to provide a theoretical reference for policy control layout for other carbon development city group.

以城市化与碳排放关系为研究视角，针对我国城市群高碳排放问题，以京津冀城市群为案例区，综合运用地理学、经济学和系统科学原理，实地调研与遥感调查结合，基于土地利用和人口分布数据,利用空间分析模拟、计量与统计分析等技术方法，将案例区县区行政单元内能源利用碳排放统计数据1km网格空间化，揭示1990,2000，2005，2010年京津冀城市群1km网格碳排放时空变化规律。利用LMDI模型，综合评估城市化过程中典型要素变化对城市碳排放空间格局影响及其动态变化趋势，探究城市化过程中主要人文因素对碳排放的影响机制，基于京津冀碳排放空间格局与首都经济圈发展战略，对城市群低碳发展的区域合作框架进行研究。探索结合遥感与GIS技术利用县区能源消耗统计数据模拟1km网格尺度城市群内部碳排放格局的方法。为京津冀城市群低碳发展规划布局与政策调控提供科学依据，为我国类似城市群低碳发展提供理论借鉴。

以城市化与碳排放关系为研究视角，针对我国城市群高碳排放问题，以京津冀城市群为案例区，综合运用地理学、经济学和系统科学原理，实地调研与遥感调查结合，基于土地利用和人口分布数据,利用空间分析模拟、计量与统计分析等技术方法，将案例区县区行政单元内能源利用碳排放统计数据空间化，揭示京津冀城市群碳排放时空变化规律。利用LMDI模型，综合评估城市化过程中典型要素变化对城市碳排放空间格局影响及其动态变化趋势，探究城市化过程中主要人文因素对碳排放的影响机制，基于京津碳排放空间格局与首都经济圈发展战略，对城市群低碳发展的区域合作框架进行研究。探索结合遥感与GIS技术利用县区能源消耗统计数据模拟1km网格尺度城市群内部碳排放格局的方法。为京津冀城市群低碳发展规划布局与政策调控提供科学依据，为我国类似城市群低碳发展提供理论借鉴。