首页|四川盆地城市群臭氧污染时空精细演变特征的观测与模拟

四川盆地城市群臭氧污染时空精细演变特征的观测与模拟

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基于四川盆地污染物浓度和气象数据,结合ERA5再分析资料研究了 2019年8月22~28日臭氧(O3)污染过程的演变及高低空大气环流特征,并利用高分辨率中尺度天气预报模式WRF和多尺度空气质量模型CMAQ探究了 O3形成与传输过程。结果表明:①O3浓度的分布特征与风向、温度的分布密切相关,O3高值区主要位于高温和主导风向的下风向区域。污染过程中南亚高压和西太平洋副热带高压稳定地控制整个四川盆地,700和850hPa均受高压控制,盛行下沉气流,地面升温,促进O3的迅速生成,同时抑制了地面O3向高空的稀释扩散。②夜间1000m高度上O3浓度水平和空间分布特征受白天地面O3_8h浓度分布以及风场传输作用的影响较大。夜间O3低值主要在盆地底部地区,成都及重庆市区受NO滴定作用影响,为两大低值中心,O3高值中心受山脉阻挡作用,呈带状堆积在盆地边缘地区。③利用WRF-CMAQ模型中的过程分析量化不同物理化学过程对O3浓度的相对贡献,垂直传输过程和气相化学是白天O3的主要来源,干沉降和水平平流为地面O3的主要汇。④利用ISAM综合源解析方法估算城市间输送对O3浓度的相对贡献。受东北风输送的影响,模式边界对川东北城市群贡献为58。86%~79。23%;东南风使重庆O3浓度受边界的影响较大,贡献约为72。50%。NO2贡献的来源主要为城市自身及周边城市的传输。川东北城市群的NOx排放较低,来自模式边界以及重庆地区的输入对川东北城市群有较大的贡献。⑤生物源、工业源和交通源对四川盆地O3浓度的贡献显著,而居民源和电厂的贡献较低。成都、德阳、重庆、眉山、内江、宜宾等城市工业源的贡献率较高。
Fine-scale evolution pattern of ozone pollution in the city cluster of Sichuan Basin from observation and modeling perspectives
Based on air pollutants observation and meteorological data in the Sichuan Basin in August 2019,combined with the ERA5 reanalysis data,the changes of upper and lower level weather situation and ozone(O3)pollution during the episode were examined.In addition,the high-resolution mesoscale weather forecast model WRF and multi-scale air quality model CMAQ were used to explore the formation and transport of O3.The results showed that:①The distribution characteristics of ozone concentration were closely related to the distribution of wind direction and temperature,and the area of high O3 value mainly located in the high temperature area and the downwind of dominant wind direction.In the process of pollution,the South Asia High and the West Pacific Subtropical High steadily controlled the entire Sichuan Basin,where 700hPa and 850hPa were controlled by the high pressure,leading to prevailing downdraft,increase of surface temperature,promotion of the rapid O3 generation,and inhibition of the dilution and diffusion of surface O3 to the upper air.②The concentration and spatial distribution of O3 at 1000m height at night were greatly affected by the distribution of O3_8h at ground level and the transmission of wind field during the day.The low O3 values at night were mainly located at the bottom of the basin.Chengdu and Chongqing urban areas were affected by NO titration and were the two remarkable low-value centers in the night.The high-value O3 centers were blocked by mountains and accumulated in a zonal pattern at the edge of the basin.③The relative contributions of different physical and chemical processes to O3 concentration were quantified by process analysis in WRF-CMAQ model.Vertical transport processes and gas phase chemistry were the main sources of daytime O3,dry sedimentation and horizontal advection were the main sinks of surface O3.④The relative contribution of city-to-city transport to O3 concentration was estimated by ISAM comprehensive source analysis method.Under the influence of northeast wind transport,the contribution of model boundary to northeast Sichuan urban agglomeration was about 58.86%~79.23%.The southeast wind greatly affected the O3 concentration in Chongqing,contributing about 72.50%from model boundary.The main sources of NO2 contribution came from city itself and the surrounding regional transmission.The NOx emission in the northeast Sichuan urban agglomeration was lower than that in other regions of the Sichuan Basin,so the NO2 concentration imported from the model boundary and Chongqing had a greater contribution to the northeast Sichuan.⑤Biological sources,industrial sources and transportation sources contributed significantly to O3 concentration in the Sichuan Basin,while residential energy sources and power plants contributed less.The contribution rate of industrial sector in Chengdu,Deyang,Chongqing,Meishan,Neijiang and Yibin was relatively high.

ozone pollutiontransport processchemical processsource contributionnumerical simulation

张小玲、雷雨、王聪聪、吴锴、杨显玉、谭钦文、陆成伟

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成都信息工程大学大气科学学院,高原大气与环境四川省重点实验室,四川成都 610225

成都平原城市气象与环境四川省野外科学观测研究站,四川成都 610225

加州大学尔湾分校土木与环境工程学院,尔湾,美国92617

成都市生态环境科学研究院,四川成都 610046

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臭氧污染 传输过程 化学生成 来源贡献 数值模拟

国家自然科学基金资助项目国家自然科学基金资助项目国家重点研发计划成都信息工程大学引进人才科研启动项目

42175174421051672018YFC0214002KYTZ202127

2024

中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCHSSCD北大核心
影响因子:2.174
ISSN:1000-6923
年,卷(期):2024.44(1)
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