中文摘要：

结合江苏省经济结构和自然环境情况，选择合适的碳排放模型进行核算，得到江苏省各区县的碳排放量，综合DMSP/OLS 夜间灯光影像和NDVI 数据，再结合人口、GDP 和工业生产总值数据，构建碳排放的空间滞后回归模型并开展江苏省碳排放的空间分布模拟，得到大小为1km×1km的碳排放空间格网，并对模拟结果纠正，用以研究江苏省各区县的碳排放量分布情况。结果表明，江苏省碳排放清晰地呈现出“苏南＞苏北＞苏中”的格局，苏南地区分布着以苏州、无锡为中心和以南京市区为中心的碳排放高值集聚的“热点”区域；在各区县内部，碳排放的空间分布与人口、GDP 产值等密切相关，明显集中于人口、工业聚集的市区和县城区域。

英文摘要：

In order to calculate the carbon emissions and study the spatialdistribution of carbon emission in Jiangsu province, we did a new research. Inconsideration of the economic structure and the natural environment, areasonable carbon emissions’model is chosen to calculate carbon emissions ofevery county. Five kinds of data have been used to establish the spatial lagmodel of carbon emission, which are DMSP/OLS night light images, NDVI, population,GDP and industrial gross domestic product data. And all these data havebeen resampled to the 1km×1km grids, we ultimately got the spatial distributionof carbon emission in Jiangsu. The result shows that distribution of carbonemissions presented as a distinct pattern, it is smaller in NorthernJiangsu than southern area and its lowest value appears in the middle area. In southern area of Jiangsu, the spatial distribution of carbon emission shows asignificant “hot-spot”cluster area in Suzhou, Wuxi and Nanjing. As for thespatial distribution of carbon emission in one single county, the significant“hot-spot”cluster area is distributed in urban area.