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机构地区:[1]天津大学建筑学院,天津300072 [2]中国科学院沈阳应用生态研究所森林生态与管理重点实验室,沈阳110016 [3]沈阳大学建筑工程学院,沈阳110044
出 处:《应用生态学报》2017年第6期2040-2046,共7页Chinese Journal of Applied Ecology
基 金:国家自然科学基金项目(51278330)资助~~
摘 要:随着我国城市化进程的不断深入,建筑消费大量的材料和能源,如何计算建筑碳足迹具有重要意义.本文应用碳足迹的方法,结合地理信息系统和高分遥感手段对辽宁中部城市群进行碳足迹评估.结果表明:辽宁中部城市群的建筑相关碳足迹系数为269.16 kg·m^(-2).基于遥感影像提取建筑面积的方法能够有效提取建筑面积总量和空间分布,提取精度达到89%,对累积碳足迹计算和空间分布评估起到重要作用.辽宁中部7个城市建筑面积和累积碳足迹由高到低依次为沈阳、鞍山、抚顺、辽阳、营口、铁岭和本溪;2011—2013年,年均碳足迹增长由高到低依次为沈阳、本溪、抚顺、鞍山、铁岭、营口和辽阳.准确计算建筑碳足迹总量并分析其空间分布,对于碳减排和空间格局优化或规划具有重要意义.With the development of urbanization in China, buildings consumed lots of material and energy. How to estimate carbon emission of buildings is an important scientific problem. Carbon footprint of the central Liaoning agglomeration was studied with carbon footprint approach, geo- graphic information system (GIS) and high-resolution remote sensing (HRRS) technology. The re- sults showed that the construction carbon footprint coefficient of central Liaoning urban agglomera- tion was 269.16 kg ~ m-2. The approach of interpreting total building area and spatial distribution with HRRS was effective, and the accuracy was 89%. The extraction approach was critical for total carbon footprint and spatial distribution estimation. The building area and total carbon footprint of central Liaoning urban agglomeration in descending order was Shenyang, Anshan, Fushun, Liao- yang, Yingkou, Tieling and Benxi. The annual average increment of footprint from 2011 to 2013 in descending order was Shenyang, Benxi, Fushun, Anshan, Tieling, Yingkou and Liaoyang. The ac- curate estimation of construction carbon footprint spatial and its distribution was of significance for the planning and optimization of carbon emission reduction.
分 类 号:F299.27[经济管理—国民经济] X22[环境科学与工程—环境科学]
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