华北矿业型城市长序列能源消费碳排放特征
投稿时间:2019-12-19  修订日期:2020-09-01  点此下载全文
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作者单位E-mail
邵克俭 中国矿业大学北京地球科学与测绘工程学院 1049958307@qq.com 
董东林 中国矿业大学北京地球科学与测绘工程学院 ddl@cumtb.edu.cn 
林 刚 中国矿业大学(北京)地球科学与测绘工程学院  
刘贺丹 北京师范大学水科学研究院地下水污染控制与修复教育部工程研究中心  
徐祚荣 中国矿业大学北京地球科学与测绘工程学院  
陈金平 中国矿业大学北京地球科学与测绘工程学院  
基金项目:国家自然科学基金项目
中文摘要:区域视角的长序列能源消费碳排放特征研究对低碳减排政策的制定具有一定意义。针对中国地市级及以下尺度数据难以获取、统计标准存在差异、从时间长序列角度对矿业型城市能源消费碳排放的研究较少等问题,基于夜间灯光影像数据模拟估算了1995-2017年华北矿业型城市能源消费碳排放量,对矿业型城市进行多维研究,分析不同矿业型城市碳排放的差异性。结果表明:能源消费碳排放量较高的矿业型城市为成长型煤炭型、再生型铁矿型、成熟型铁矿型以及成熟型煤炭型中的张家口市、沂州市和赤峰市;强度效应是促使能源消费碳排放量与经济增长脱钩的重要手段,结合人口效应、规模效应的调控,通过科学的低碳减排政策,能够有效地控制能源消费碳排放量的增加,加快矿业型城市的经济转型。
中文关键词:夜间灯光数据  能源消费碳排放  华北地区  矿业型城市
 
Carbon Emission Characteristics of Long- sequence Energy Consumption in Mining Cities in North China
Abstract:The long-sequence energy consumption carbon emission characteristics of regional perspectives have a certain significance for the formulation of low-carbon emission reduction policies. Based on the difficulty in obtaining data at the prefecture-level and below in China, the differences in statistical standards, and the lack of research on long- sequence carbon emissions of energy consumption in mining cities. Based on the simulation of night light image data, the carbon emissions of energy consumption in North China"s mining cities from 1995 to 2017 were estimated. Multi-dimensional research is conducted on mining cities to analyze the differences in carbon emissions of different mining cities. The results show that the mining-type cities with high carbon emissions from energy consumption are growing coal-type, renewable iron ore-type, mature iron ore-type, and Zhangjiakou, Yizhou, Chifeng among the mature coal types; The intensity effect is an important means to decouple the energy consumption carbon emissions from economic growth. Combining the control of population effects and scale effects, through scientific low-carbon emission reduction policies, it can effectively control the increase in energy consumption carbon emissions and accelerate the mining-type economic transformation of cities.
keywords:night light data  Energy consumption carbon emissions  north China  mining city
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