摘要
城镇化的快速发展伴随着能源消耗及二氧化碳排放量的增长,开展二氧化碳排放空间格局的研究对于发展绿色、低碳城市,提高城镇化发展质量具有重要意义。文章通过建立碳排放量测算模型,分析了山东省2012年17地市的碳排放量,运用GIS与ESDA的Moran's I指数和LISA指数空间相关分析方法,阐明了山东省碳排放空间格局特征。结果表明:化石燃料需求类别及数量不同是造成各地碳排放空间不均衡的关键因素;碳排放量最大值为济宁市的5777.05万t,最小为威海市的861.93万t,空间格局上鲁东<鲁西北<鲁中<鲁西南,呈现明显的空间差异性;全局Moran's I指数为0.0853,Z值为1.0150,说明山东省碳排放量全局自相关性不明显,LISA集聚图则显示出显著的局部空间集聚特征,主要在鲁西南及鲁中地区形成碳排放量高的集聚分布。
Abstract： The rapid development of urbanization is always accompanied by the sharp rise in energy consumption and carbon emission, while the research on spatial pattern of carbon emission is of great importance to the development of green, ecological and low-carbon city, and to the quality improvement of urbanization. Carbon emissions in 17 cities of Shandong province in 2012 were estimated by building the accurate carbon emission model. Characteristics of spatial pattern of carbon emission in Shandong province in 2012 were analyzed based on GIS, and on Exploratory Spatial Data Analysis （ESDA） （Moran＇s I and LISA）. Results show that： differences in types and amounts of demand for fossil fuels were the key factors that caused unbalanced carbon emission in Shandong province; the maximum carbon emission occurred in Jining （5777.05 ten thousand tons） while the minimum value in Weihai （861.93 ten thousand tons） , and as to the whole region it was sorted as follows ： east Shandong 〈 northwest Shandong 〈 central Shandong 〈 southwest Shandong, presenting the obvious spatial difference ; the global Moran＇s I is 0. 0853, and Z value for the significance testing is 1. 0150, showing that the global spatial autocorrelation of carbon emission in Shandong province is not significant, while LISA map showed a significant local spatial agglomeration characteristics：area of southwest and central Shandong developed an aggregated distribution with high carbon emission.
出处
《山东建筑大学学报》
2017年第4期322-326,共5页
Journal of Shandong Jianzhu University
基金
山东省社科规划项目(14DGLJ06)
山东省统计科研重点课题项目(KT16071)
山东省住建厅科技计划项目(2017-R1-003)
山东建筑大学博士基金项目(XNBS1303)
