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广东省非道路移动机械排放清单及不确定性研究
引用本文:卞雅慧,范小莉,李成,叶潇,王肖丽,黄志炯,郑君瑜.广东省非道路移动机械排放清单及不确定性研究[J].环境科学学报,2018,38(6):2167-2178.
作者姓名:卞雅慧  范小莉  李成  叶潇  王肖丽  黄志炯  郑君瑜
作者单位:华南理工大学环境与能源学院;暨南大学环境与气候研究院
基金项目:国家自然科学基金项目(No.41627809);国家杰出青年科学基金项目(No.41325020);广东省省级科技计划项目(No.2016B050502005)
摘    要:随着工业源和机动车等重点污染源减排空间的下降,非道路移动机械排放已成为大气污染防治领域的研究热点之一.本研究通过资料收集与实地调研,初步构建了广东省非道路机械基于机型的活动水平数据集、综合排放因子及时空分配因子,采用自下而上的排放因子法,建立了广东省2014年非道路移动机械排放清单.并利用蒙特卡洛方法定量评估清单结果不确定性.结果表明,广东省2014年非道路移动机械的SO_2、NO_x、PM_(10)、PM_(2.5)、VOCs和CO排放总量分别为4.9、61.1、4.8、4.5、11.6 kt和45.1 kt.其中,农业机械排放以四轮农用运输车和小型拖拉机为主,贡献率分别为38.4%和18.0%,主要分布在非珠三角的农村地区;工程机械排放以建筑运输车和挖掘机为主,贡献率分别为40.1%和33.9%,主要分布在珠三角地区.此外,不确定性分析结果显示VOCs和PM_(2.5)排放结果不确定性较大,不确定性范围分别为-25.2%~41.7%和-23.4%~32.8%.NO_x不确定性较小,不确定性范围为-15.2%~17.5%.

关 键 词:非道路移动机械  综合排放因子  排放清单  不确定性分析
收稿时间:2018/1/24 0:00:00
修稿时间:2018/3/28 0:00:00

A sector-based emission inventory and its uncertainty from non-road mobile machinery in Guangdong Province, China
BIAN Yahui,FAN Xiaoli,LI Cheng,YE Xiao,WANG Xiaoli,HUANG Zhijiong and ZHENG Junyu.A sector-based emission inventory and its uncertainty from non-road mobile machinery in Guangdong Province, China[J].Acta Scientiae Circumstantiae,2018,38(6):2167-2178.
Authors:BIAN Yahui  FAN Xiaoli  LI Cheng  YE Xiao  WANG Xiaoli  HUANG Zhijiong and ZHENG Junyu
Institution:School of Environment and Energy, South China University of Technology, Guangzhou 510006,School of Environment and Energy, South China University of Technology, Guangzhou 510006,Institute for Environmental and Climate Research, Jinan University, Guangzhou 511486,School of Environment and Energy, South China University of Technology, Guangzhou 510006,School of Environment and Energy, South China University of Technology, Guangzhou 510006,Institute for Environmental and Climate Research, Jinan University, Guangzhou 511486 and School of Environment and Energy, South China University of Technology, Guangzhou 510006
Abstract:With the shrink of emission reduction potential on major sources (e.g., industrial sector and vehicle), emissions from non-road mobile machinery have become one of the research hotspots in the field of air pollution control. Through data mining and field surveys, this study developed a sector-based activity dataset, well-considered emission factors and temporal and spatital profiles in Guangdong Province. On this basis, a non-road mobile machinery emission inventory from Guangdong Province was also developed by using a bottom-up method. Results showed that total emission amounts of sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matter (PM10 and PM2.5), volatile organic compounds (VOCs) and carbon monoxide (CO) from non-road mobile machinery in Guangdong Province in 2014 were 4.9, 61.1, 4.8, 4.5, 11.6 kt and 45.1 kt, respectively. Among them, four-wheeled agricultural machinery and construction machinery were the two important contributors to agricultural machinery emissions, accounting for 38.4% and 18.0%, respectively. Their emissions were mainly distributed in the rural areas of the non-Pearl River Delta region. Engineering machinery emissions were mostly from slag vehicles and excavators with the proportion of 40.1% and 33.9%, respectively, and intensive emissions were concentrated in the Pearl River Delta region. VOCs and PM2.5 emissions were more uncertain with the range being -23.2%~-41.7% and -23.9%~-32.8%, respectively, and the uncertainty of NOx was smaller with the range being -15.2%~17.5%.
Keywords:non-road mobile machinery  well-considered emission factors  emission inventory  uncertainty
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