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郑州市高新区夏季臭氧及前体物污染特征和关键前体物溯源研究

Research on the characteristics of summer ozone and its precursor pollution and key precursor traceability in Zhengzhou High-tech Development Zone
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摘要 基于2023年6—8月郑州市高新区国控站点和监测车监测数据,利用正交矩阵因子分析法受体模型(Positive Matrix Factorization,PMF)和零维框架模拟模型(The Framework for 0-D Atmospheric Modeling,F0AM)结合的方法,全面分析了臭氧(O_(3))和其前体物的污染特征以及O_(3)关键前体物的精准溯源.结果表明,监测期间郑州市高新区O_(3)污染较严重,O_(3)污染天数为46 d(占比55%),其中轻度污染40 d,中度污染6 d.污染日呈现高温低湿的特点,MDA8-O_(3)、O_(3)、TVOCs、NO_(2)和NO_(x)分别是非污染日的1.52倍、1.41倍、1.2倍、1.6倍和1.4倍,导致O_(3)污染具有更强的本地生成能力.研究发现监测期间VOCs主要来自工业过程源(21.3%)、二次生成源(11.9%)、机动车尾气排放源(13.4%)、溶剂使用源(18.9%)、老化气团源(14.4%)、天然气/液化石油气挥发源(9.6%)和植物排放源(10.4%).敏感性分析(RIR)结果表明,郑州市高新区处于VOCs-NO_(x)协同控制区,因此协同减排VOCs与NO_(x)是控制O_(3)生成的有效途径.另外,PMF源解析和敏感性分析结果表明,污染期间敏感性高的VOC物种主要来自植物排放(41.1%)、工业过程(32.6%)、溶剂使用(14.3%)、二次生成(6.2%)和机动车尾气(5.8%),尤其应对来自植物排放的异戊二烯、工业过程的苯系物和二次生成的乙醛及其来源进行重点监测管控. Based on the monitoring data from national control stations and monitoring vehicles in Zhengzhou High-tech Development Zone from June to August 2023,the pollution characteristics of ozone(O_(3))and its precursors,as well as accurate traceability of key ozone precursors were comprehensively analyzed,using Positive Matrix Factorization(PMF)and The Framework for 0-D Atmospheric Modeling(F0AM).The results showed that O_(3)pollution in Zhengzhou High-tech Development Zone was relatively severe during the monitoring period,with 46 days(55%)of O_(3)pollution,including 40 days of mild pollution and 6 days of moderate pollution.Pollution days were characterized by high temperature and low humidity,and MDA8-O_(3),O_(3),TVOCs,NO_(2),and NO_(x)were 1.52 times,1.41 times,1.2 times,1.6 times,and 1.4 times than that of non-pollution days respectively,resulting in a more robust localization generation capacity of O_(3)pollution.Studying the O_(3)pollution process found that VOCs mainly came from industrial process(21.3%),secondary generation(11.9%),motor vehicle exhaust(13.4%),organic solvents(18.9%),regional aged air mass(14.4%),NG/LPG(9.6%)and plant emissions(10.4%).Sensitivity analysis(RIR)results indicated that O_(3)formation was sensitive to VOCs and NO_(x)in Zhengzhou High-tech Development Zone.Therefore,it is a productive way to decrease O_(3)formation by controlling VOCs and NO_(x)in coordination.In addition,PMF and sensitivity analysis(RIR)results indicated that high-sensitivity VOCs mainly came from plant emissions(41.1%),industrial processs(32.6%),organic solvents(14.3%),secondary generation(6.2%)and motor vehicle exhaust(5.8%),and it is significantly better to focus on controlling isoprene from plant emissions,BTEX from industrial process,acetaldehyde from secondary generation and their main source.
作者 胡娜 李源清 张晓东 张亮 臧金亮 HU Na;LI Yuanqing;ZHANG Xiaodong;ZHANG Liang;ZANG Jiniang(Zhengzhou Institute of Metrology,Zhengzhou 450001;National Institute of Metrology,Beijing 100029)
出处 《环境科学学报》 CAS CSCD 北大核心 2024年第9期32-41,共10页 Acta Scientiae Circumstantiae
基金 国家市场监督管理总局科技计划项目(No.2022MK076)。
关键词 臭氧污染 正交矩阵因子分析法受体模型(PMF) 零维框架模拟模型(F0AM) 敏感性分析 精准溯源 ozone pollution positive matrix factorization(PMF) the framework for 0-D atmospheric modeling(F0AM) sensitivity analysis accurate traceability
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