主办单位：中国气象局沈阳大气环境研究所
国际刊号：ISSN 1673-503X
国内刊号：CN 21-1531/P
Journal of Meteorology and Environment

Journal of Meteorology and Environment ›› 2024, Vol. 40 ›› Issue (2): 103-107.doi: 10.3969/j.issn.1673-503X.2024.02.013

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Quantitative source appointment of surface ozone in summer in background areas of North China

Ningwei LIU1,2(),Simeng MA3,*(),Sen YANG2,Weijun QUAN4,5,Liguang LI2,Ruonan WANG6,Yuhe LI7,Shenye ZHAN2,8   

  1. 1. Shangdianzi National Atmospheric Background Station, Beijing 101507, China
    2. Shenyang Institute of Atmospheric Environment, CMA, Shenyang 110166, China
    3. Civil Aviation University of China, Tianjin 300300, China
    4. Beijing Institute of Urban Meteorology, Beijing 100089, China
    5. Beijing Meteorological Observatory, Beijing 100097, China
    6. Liaoning Provincial Meteorological Equipment Support Center, Shenyang 110166, China
    7. Meteorological Center of Northeast Air Traffic Administration of CAAC, Shenyang 110161, China
    8. Anshan Meteorological Service, Anshan 114004, China
  • Received:2024-02-20 Online:2024-04-28 Published:2024-05-25
  • Contact: Simeng MA E-mail:liunw@iaesy.cn;smma@cauc.edu.cn

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Abstract:

This study uses the Shangdianzi national background station in Beijing to represent the background area in North China, and adopts the Ozone Source Appointment Technology (OSAT) method of the CAMx model to analyze the ozone source contribution in North China background areas from June 25 to July 31, 2019. A simulation study of O3 concentration was conducted to quantify the contribution of different source components and tagging regions, aiming to deeply analyze the source composition of ground-level O3 concentration in the background area of North China. The components that contribute to the ground O3 concentration in this region, from high to low, were boundary transport (61.8%), source transport (31.8%), background concentration (3.3%), and local generation (3.1%). The main source tagging regions from high to low were were Hebei province (5.70%), Inner Mongolia autonomous region (5.43%), and Shandong province (4.48%). The source categories were civil source (15.35%), agricultural source (10.72%), transportation source (7.21%), and industrial source (1.62%), and the main precursors were NOx (29.6%) and VOCs (5.3%). The ground ozone concentration in North China background area is mainly contributed by boundary transport and source transport, which further validates the rationality for Shangdianzi station as an atmospheric background station.

Key words: Atmospherie background station, Ozone, CAMx, Source appointment technology

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