CO2 emissions and their spatial patterns of Xinjiang cities in China
CO2 emissions and their spatial patterns of Xinjiang cities in China
复制标题
中国新疆城市CO2排放及其空间格局
DOI：
10.1016/j.apenergy.2019.113473
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发表时间：
2019-10-15
期刊：
影响因子：
11.2
通讯作者：
Wang, Zhen
中科院分区：
文献类型：
--
作者：
Cui, Can;Shan, Yuli;Wang, Zhen
城市层面的二氧化碳排放核算是必要的，以确定不同城市的不同能源环境。然而，由于缺乏数据，能源消耗和排放统计数据没有很好的记录。本文以化石燃料工业生产为研究对象，首次对新疆维吾尔自治区以生产为基础的行业二氧化碳排放量进行了城市层面的详细估算。2010年，新疆15个城市的二氧化碳排放总量为30406万吨，其中97.7%的排放量与化石燃料燃烧有关（即能源相关排放），其余2.3%来自水泥生产相关的工业过程（即过程相关排放）。原煤和原油消费是新疆主要的排放源（分别占50.3%和23.0%），石油加工和炼焦以及电力和热力生产是两个排放源，分别占32.6%和27.9%。新疆各城市CO2排放总量和人均排放量存在较大差异。排放强度与人均排放量分布相似，且具有显著的空间自相关。经济依赖排放密集型支柱产业和（或）主要来自原煤的能源的城市，其人均排放量和排放强度往往较高。这些城市包括阿勒泰、昌吉、哈密和石河子。我们还研究了中国最大城市乌鲁木齐2005 - 2015年的时间序列排放。10年来乌鲁木齐市CO2排放量总体呈上升趋势，增幅达324.2%。主要驱动行业是“电力和热力”，该行业的二氧化碳排放总量和排放量占比均有所增加。在此基础上，提出了调整能源结构和引入多元产业的政策建议，为新疆城市的减排和低碳发展提供政策建议。
City-level CO2 emission accounting is necessary to identify the different energy circumstances among all cities. However, due to a lack of data, energy consumption and emission statistics are not well documented. Focusing on the industrial production using fossil fuels, our work provides the first detailed city-level estimation of production-based sectoral CO2 emissions in the Xinjiang Uygur Autonomous Region. In 2010, 15 cities in Xinjiang emitted a total of 304.06 million tonnes CO2, and 97.7% of those emissions were related to fossil fuel combustion (i.e. energy-related emissions), with the remaining 2.3% from industrial processes associated with the production of cement (i.e. process-related emissions). The consumption of raw coal and crude oil were the main sources of Xinjiang's emissions (50.3% and 23.0%, respectively), whereas 'petroleum processing and coking' and 'power and heat production' were the two sectors that contributed the largest emissions at 32.6% and 27.9%, respectively. The cities in Xinjiang presented considerable variations in the total CO2 emissions and emissions per capita. The emissions intensity and emissions per capita shared similar distributions, and the emissions are significantly spatial autocorrelated. Cities whose economies relied on emission-intensive pillar industries and/or energy mainly sourced from raw coal tended to have high emissions per capita and high emissions intensities. Those cities included Altay, Changji, Hami and Shihezi. We also examined the time-series emissions of Urumqi, the largest city, from 2005 to 2015. Urumqi presented a generally rising trend in CO2 emissions over the decade, with emissions increasing by 324.2%. The major driving sector was 'power and heat', which showed increases in the total CO2 emissions and percentage of Xinjiang's emissions. Based on the findings, policy recommendations for emission reductions and low-carbon development for the cities in Xinjiang are provided, including adjusting the energy structure and introducing multiple industries.