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作 者:曹云擎 李振亮 蒲茜 蒋昌潭 薛文博 蒋洪强 张卫东 翟崇治 CAO Yunqing;LI Zhenliang;PU Xi;JIANG Changtan;XUE Wenbo;JIANG Hongqiang;ZHANG Weidong;ZHAI Chongzhi(Chongqing Research Academy of Eco-Environmental Sciences,Chongqing 401147;Key Laboratory for Urban Atmospheric Environment Integrated Observation&Pollution Prevention and Control of Chongqing,Chongqing 401147;School of Chemistry and Chemical Engineering,Chongqing University of Technology,Chongqing 401320;Chongqing Eco-Environment Monitoring Center,Chongqing 401147;Institute for Environmental Planning,Ministry of Ecology and Environment,Beijing 100012;State Key Laboratory of Environmental Planning and Policy Simulation for Environmental Protection,Beijing 100012)
机构地区:[1]重庆市生态环境科学研究院,重庆401147 [2]城市大气环境综合观测与污染防控重庆市重点实验室,重庆401147 [3]重庆理工大学化学化工学院,重庆401320 [4]重庆市生态环境监测中心,重庆401147 [5]生态环境部环境规划院,北京100012 [6]国家环境保护环境规划与政策模拟重点实验室,北京100012
出 处:《环境科学学报》2021年第8期3001-3011,共11页Acta Scientiae Circumstantiae
基 金:国家重点研发计划项目(No.2018YFC0214005)。
摘 要:以2019年3—4月臭氧(O_(3))污染小高峰为例,应用空气质量模型CAMx-DDM法分析了成渝地区O_(3)浓度对人为源前体物排放敏感性,并用2020年"新冠"疫情防控及生产恢复导致的污染排放同比变化情景进行模拟验证.模拟结果表明成渝地区O_(3)对NO_(x)的敏感性为负、对VOCs的敏感性为正,其中,重庆市主城区、主城区以西地区、川南城市群和成都平原西部地区敏感性较高,与其自身污染排放源分布密集有关.以典型城市重庆市主城区为例,2019年3—4月O_(3)小时浓度对NO_(x)和VOCs的敏感性平均值分别为-19.14μg·m-3和7.25μg·m-3,两者表现出相反的日变化规律,且主要受到本地及周边区域的影响,模拟结果显示在所有区域VOCs排放均削减25%的情况下,3月和4月月均O_(3)日最大8 h浓度分别下降2.62μg·m-3和3.59μg·m-3.敏感性模拟得到2020年3月四川省和重庆市NO_(x)排放量同比下降8.00%和22.40%,VOCs同比下降1.00%和7.92%;4月NO_(x)排放量同比上升5.00%和9.50%,四川省VOCs同比持平,重庆市上升3.63%,与同期"新冠"疫情防控及生产恢复导致的实际排放情况非常一致.The study focuses on the emerging events of ozone formation in Chengdu-Chongqing areas,southwestern China in March-April 2019,investigating the sensitivities of ozone(O_(3))formation from anthropogenic precursor emissions in the Chengdu-Chongqing region.The study used the CAMx-DDM air quality model by changing scenarios of pollutants emissions due to the prevention and control measures of the"COVID-19"pandemic in 2020.The simulation results show the negative sensitivity of O_(3)to NO_(x) and the positive sensitivity to VOCs in Chengdu-Chongqing area.The higher sensitivity areas include the main urban area of Chongqing,the west of the main urban area,the southern urban agglomeration of Sichuan and the western part of Chengdu plain,due to their intensive distributions of pollution emission sources.For example,the average sensitivity of O_(3)hourly concentration to NO_(x) and VOCs from March to April in 2019 is-19.14μg·m-3and 7.25μg·m-3 respectively in the main urban area of Chongqing.The result shows opposite diurnal variations because of the emissions from local and surrounding areas.The simulation results showed that under the condition of 25%reduction of VOCs emissions in these regions,the monthly mean ozone maximum 8-hour concentration in March and April decreased by 2.62μg·m-3 and 3.59μg·m-3,respectively.Sensitivity simulation results show that in March 2020,NO_(x) emissions in Sichuan Province and Chongqing decreased by 8.00%and 22.40%,VOCs decreased by 1.00%and 7.92%.In April,NO_(x) emissions increased by 5.00%and 9.50%year on year,VOCs in Sichuan province were flat year on year,and VOCs in Chongqing increased by 3.63%,which was very consistent with the actual emissions caused by the prevention and control of the"COVID-19"epidemic and the recovery of production in the same period.
关 键 词:成渝地区 臭氧污染 CAMx-DDM 前体物 敏感性
分 类 号:X51[环境科学与工程—环境工程]
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