首页> 中文期刊>地域研究与开发 >县域尺度下能源产区能源消费碳排放强度空间分异--以陕西省榆林市为例

县域尺度下能源产区能源消费碳排放强度空间分异--以陕西省榆林市为例

     

摘要

以能源产区陕西省榆林市的12个区县为研究单元,在GeoDa和ArcGIS等软件的支持下,结合趋势分析和空间统计方法,分析2005—2010年榆林县域尺度下的能源消费碳排放强度的空间格局特征与空间分异机制。榆林各区县能源消费碳排放强度水平差异明显,总体差异呈扩大趋势,两极分化加剧。县域碳排放强度南北走向上表现出逐渐减小趋势,东西走向上具有微弱的“U”型变化态势。总体上,东北部区县碳排放强度高于西南部。各区县碳排放强度具有正的空间关联分布特征,且处于低水平非均衡空间分布状态,空间依赖性明显。结合相关性分析,榆林区县碳排放强度具有极化区、扩散区、塌陷区和传染区4个特征。“热点”主要分布在东北部三县,“冷点”主要分布于南部六县。能源资源分布不均、经济总量以及产业结构差异是造成榆林碳排放强度空间分布不均的主要原因。%Based on GeoDa and ArcGIS , using statistical analysis , trend analysis and spatial statistics meth-od, this paper studies the spatial differences of the carbon emissions intensity from 2005 to 2010 by taking the 12 districts and counties of Yulin City in Shaanxi Province as study units .The findings are as follows:(1) There are significant differences among the levels of carbon emissions intensity in Yulin and the differences show the expan -ding trend.(2) Carbon emissions intensity displays significant space differences: decreasing from south to north , U-shaped variation from east to west .Overall, the carbon emissions intensity in northeast area is higher than that in southwest area.(3) Carbon emissions intensity in Yulin presents a positive space correlation and stays at a lower level, uneven space distribution state .(4) According to the relationship between one county and its adjacent coun-ties, counties in Yulin can be divided into four types: polarization regions , diffusion regions , cluster regions and sinking regions.(5) At the present stage, the polarization function of the key regions is in a dominant position and the regional level of CEI trends to unbalance .The high-CEI areas are mainly distributed in three counties of north-east of Yulin while the low-CEI areas mainly in six counties of south of Yulin .(6) Finally, this paper reveals that the reasons of regional differences of CEI are geographical conditions , location factors, industrial structure and re-gional interactions .

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