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Simulation of the interannual variations of tropospheric ozone over China: Roles of variations in meteorological parameters and anthropogenic emissions

机译:中国对流层臭氧年际变化的模拟:变化在气象参数和人为排放中的作用

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摘要

We quantify the interannual variations (IAVs) of tropospheric O-3 over China for the years 2004-2012 by using the one-way nested-grid version of the global three-dimensional Goddard Earth Observing System chemical transport model (GEOS-Chem). The roles of variations in meteorological fields and anthropogenic emissions of O-3 precursors are examined separately and together through sensitivity simulations. With variations in both meteorological parameters and emissions, simulated seasonal mean surface-layer O-3 concentrations over North China (NC, 110-120 degrees E, 32-42 degrees N) exhibit the largest IAVs in June July August (JJA). The regionally averaged absolute percent departure from the mean (APDM) values over NC are 0.7%, 3.2%, 3.9%, and 2.1% in December January February (DJF), March April May (MAM), and September October November (SON), respectively. Over South China (SC, 110-120 degrees E, 22-32 degrees N), the IAVs of O-3 are found maximum in MAM, and minimum in JJA; the APDM values are 2.7%, 3.7%, 1.4%, and 2.6% in DJF, MAM, JJA, and SON, respectively. With respect to the IAVs of O-3 over the Sichuan Basin (SCB, 102-110 degrees E, 27-33 degrees N), the APDM values are simulated to be 2.7-3.8% throughout the year. The IAVs in surface-layer O-3 by variations in meteorological fields are simulated to be larger than those by variations in anthropogenic emissions throughout the year in NC and SC except for JJA in SC. The relatively more important role of variations in anthropogenic emissions is simulated in SCB in all seasons. Process analyses are performed to identify key meteorological parameters that influence the IAVs of O-3 over NC, SC, and SCB. Over all of these regions, variations in winds are found to have the largest impact on the IAVs of O-3, followed by those in temperature and specific humidity. Considering that the APDM values represent the IAVs averaged over 2004-2012, the magnitudes of IAVs of O-3 for specific years can be more significant than the numbers reported here. Our results have important implications for the effectiveness of short-term air quality control strategies in China. (C) 2015 The Authors. Published by Elsevier Ltd.
机译:我们使用全球三维戈达德地球观测系统化学迁移模型(GEOS-Chem)的单向嵌套网格版本,对2004-2012年中国对流层O-3的年际变化(IAV)进行了量化。 O-3前体在气象领域的变化和人为排放的作用分别进行,并通过敏感性模拟一起进行了检查。由于气象参数和排放的变化,华北地区(北纬110-120度,北纬32-42度)的模拟季节平均表层O-3浓度在6月,7月,8月(JJA)表现出最大的IAV。相对于NC,区域平均平均偏离绝对值(APDM)的百分比分别为0.7%,3.2%,3.9%和2.1%,其中1月1月2月(DJF),3月4月5月(MAM)和9月10月11月(SON) , 分别。在华南地区(南纬110-120度,北纬22-32度),O-3的IAV在MAM中最大,在JJA中最小。在DJF,MAM,JJA和SON中,APDM值分别为2.7%,3.7%,1.4%和2.6%。对于四川盆地O-3的IAV(SCB,东经102-110度,北纬27-33度),全年的APDM值模拟为2.7-3.8%。在北卡罗来纳州和南卡罗来纳州,除了气象局的JJA外,模拟的O-3地表层IAVs的变化要大于全年因人为排放而变化的IAVs。在所有季节,SCB都模拟了人为排放变化中相对较重要的作用。执行过程分析以识别影响O-3的IAV超过NC,SC和SCB的关键气象参数。在所有这些区域中,发现风的变化对O-3的IAV具有最大的影响,其次是温度和比湿度的变化。考虑到APDM值代表2004年至2012年的平均IAV,特定年份O-3的IAV幅度可能比此处报告的数字更重要。我们的结果对中国短期空气质量控制策略的有效性具有重要意义。 (C)2015作者。由Elsevier Ltd.发布

著录项

  • 来源
    《Atmospheric environment》 |2015年第12期|839-851|共13页
  • 作者单位

    Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Tropospheric ozone; Interannual variation; Process analysis; China;

    机译:对流层臭氧年际变化过程分析中国;

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