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2013—2017年珠江三角洲主要大气污染控制措施减排效果评估
引用本文:崔晓珍,沙青娥,李成,王毓铮,吴莉莉,张雪驰,郑君瑜,颜敏.2013—2017年珠江三角洲主要大气污染控制措施减排效果评估[J].环境科学学报,2021,41(5):1800-1808.
作者姓名:崔晓珍  沙青娥  李成  王毓铮  吴莉莉  张雪驰  郑君瑜  颜敏
作者单位:华南理工大学环境与能源学院, 广州 510006;暨南大学环境与气候研究院, 广州 511486;东莞理工学院生态环境工程技术研发中心, 东莞 523830;深圳市环境科学研究院, 深圳 518001
基金项目:国家重点研发计划(No.2018YFC0213902,2018YFC0213905);深圳市科技计划(No.KJYY20180717151419683)
摘    要:自2013年《大气污染防治行动计划》发布以来,珠江三角洲(PRD)地区实施了严格的大气污染防控政策,在全国率先实现PM2.5浓度连续3年达标,然而,已实施的控制措施对污染物的减排效果尚不清楚.因此,本研究通过广泛收集2013—2017年珠三角地区大气污染源活动水平数据与控制措施,建立2013—2017年实际控制与未控制情景的污染物趋势排放清单,对主要控制措施的减排效果进行了量化.结果表明,2013—2017年珠三角地区SO2、NOx、PM10、PM2.5和VOCs 5种污染物排放分别下降了55%、24%、55%、54%和10%.相比于未控制情景,实际控制情景下2017年5种污染物分别实现61%、40%、68%、70%和41%的减排.在各类管控措施中,工业提标对5种污染物减排分别贡献了39%、46%、66%、69%和25%;销号整治对VOCs减排贡献最大(32%),对其它污染物减排贡献约10%;清洁能源改造主要对SO2和PM减排有所贡献,其中,煤改气、低硫煤、低硫油对SO2减排有主要贡献(均为15%左右),低灰分煤对PM10(12%)和PM2.5(19%)减排有较大贡献;机动车提标、淘汰黄标车对NOx(22%、17%)和VOCs(23%、12%)减排有较大贡献.本研究可为珠三角和其它地区针对不同大气污染物科学制定防控政策与措施提供基础数据和科学支撑.

关 键 词:排放清单  情景排放  控制措施  减排效果  珠江三角洲
收稿时间:2021/2/24 0:00:00
修稿时间:2021/3/22 0:00:00

Assessment of emission reduction effect of major air pollution control measures in the Pearl River Delta from 2013 to 2017
CUI Xiaozhen,SHA Qing''e,LI Cheng,WANG Yuzheng,WU Lili,ZHANG Xuechi,ZHENG Junyu,YAN Min.Assessment of emission reduction effect of major air pollution control measures in the Pearl River Delta from 2013 to 2017[J].Acta Scientiae Circumstantiae,2021,41(5):1800-1808.
Authors:CUI Xiaozhen  SHA Qing'e  LI Cheng  WANG Yuzheng  WU Lili  ZHANG Xuechi  ZHENG Junyu  YAN Min
Institution:School of Environment and Energy, South China University of Technology, Guangzhou 510006;Institute for Environmental and Climate Research, Jinan University, Guangzhou 511486;Research Center for Eco-Environmental Engineering, Dongguan University of Technology, Dongguan 523830; Shenzhen Academy of Environmental Sciences, Shenzhen 518001
Abstract:Since the Air Pollution Prevention and Control Action Plan in 2013, the Pearl River Delta (PRD) region has implemented strict air pollution prevention and control policies, taking the lead in achieving PM2.5 concentration standard for three consecutive years in China. However, the effection of the implemented control measures on pollutants emission reductions are still unclear. Based on the extensive collection of air pollution control measures in PRD from 2013 to 2017, this study established trend emission inventories for controlled and uncontrolled air pollution scenarios from 2013 to 2017, and further quantified the emission reduction effects of the main control measures. The results showed that SO2, NOx, PM10, PM2.5 and VOCs in PRD region decreased by 55%, 24%, 55%, 54% and 10% respectively from 2013 to 2017. Compared to the uncontrolled scenario, the controlled scenario achieved emission reductions of 61%, 40%, 68%, 70% and 41% for five pollutants in 2017. Among all kinds of control measures, the upgrade of emission standard for industrial sectors contributed 39%, 46%, 66%, 69% and 25% to the reduction of the five pollutants, respectively. Sales of high polluting enterprises made the largest contribution to VOCs emission reduction(32%) and about 10% for other four pollutants emission reductions. The transformation of clean energy mainly contributed to the emission reduction of SO2 and PM, among which coal-to-gas, low sulfur coal and low sulfur oil totally contribute to 15% of SO2 emission reduction, and low ash coal contributes to 12% of PM10 reduction and 19% of PM2.5 reduction. The upgrading of emission standards for motor vehicles and the elimination of yellow-label vehicles have a great contribution to NOx (22%, 17%) and VOCs (23%, 12%) emission reductions. This study can provide basic data and scientific support for PRD and other regions to formulate prevention and control policies and measures for different atmospheric pollutants.
Keywords:emission inventory  scenario emission  control measures  emission reduction effect  Pearl River Delta
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