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首页> 外文期刊>Atmospheric research >Source attribution of carbon monoxide and ozone over the Indian subcontinent using MOZART-4 chemistry transport model
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Source attribution of carbon monoxide and ozone over the Indian subcontinent using MOZART-4 chemistry transport model

机译：莫扎特-4化学输送模型的印度次大陆中一氧化碳和臭氧的源归因

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Daily simulations of tropospheric carbon monoxide (CO) and ozone (O-3) have been made using MOZART-4 (Model for OZone And Related chemical Tracers version 4) during 2007-08. The model simulated CO and O-3 are evaluated against MOZAIC (Measurement of Ozone and Water Vapor by Airbus In-Service Aircraft) airborne observations over Hyderabad and IASI (Infrared Atmospheric Sounding Interferometer) retrievals over five most populous cities of India i.e. Mumbai, Delhi, Bangalore, Hyderabad, and Ahmedabad. The MOZAIC tropospheric column showed winter maxima and summer minima for CO whereas spring maxima and summer minima for O3. These seasonal features are reproduced well by model over Hyderabad. Model lower and middle tropospheric CO (O-3) columns are positively biased by about 14 (8) ppbv as compared to MOZAIC observations. Model underestimated (overestimated) IASI CO columns during pre-monsoon (post-monsoon) while it overestimated IASI O-3 columns throughout the year. Model simulated column of CO and O-3 are positively biased by 4-13% and 23-33% respectively as compared to the IASI retrievals over five most populous cities. Tagged and sensitivity simulations of MOZART-4 have been used to quantify the contribution of different sources to the tropospheric CO and O-3 distribution over the Indian landmass region. At surface, anthropogenic contribution varies from 55% to 81% during different seasons with an annual average contribution of 67%. This contribution decreases with increasing altitude up to 35% at 300 hPa. The contribution of photochemically produced CO is found to be 9-33% at surface. Unlike ANT-CO, the photochemically produced CO increases with altitude as it reaches up to 48% at 300 hPa. Surface BB-CO contributes upto 30% over parts of North East India during pre-monsoon season. Contribution of NAT-CO is found to be negligible (Approximately 6%) near surface as well as at the higher altitudes. Sensitivity simulations are used to decompose the total ozone (TO) into contributions from enhancement of ozone from Indian anthropogenic emissions, referred as Indian pollution ozone (IPO) and from the total background ozone (TBO). Annual total ozone is found to be 30 to 70 ppbv at surface and 77 to 85 ppbv at 300 hPa over the Indian landmass region. IPO and TBO contribute annually 58% and 42% at surface while 45% and 55% at 300 hPa respectively. The IPO contributes strongly at surface, with maximum (68%) impact during pre-monsoon season.
机译：使用Mozart-4（臭氧和相关化学跟踪器版4）的日常模拟对流层一氧化碳（CO）和臭氧（O-3）在2007 - 08年期间制备了模拟模拟CO和O-3对Mozaic（通过空中客车的臭氧和水蒸气的测量）在海德拉巴和IASI（红外大气听起来干涉仪）上的空中观察（红外大气发出干涉仪）检索在印度孟买五大城市，德里，班加罗尔，海德拉巴和艾哈迈达巴德。 Mozaic Toposheric专栏显示冬季最大值和夏季最小值，而Spring Maxima和Summer Minima为O3。这些季节性特征通过Model在Hyderabad进行了良好。与Mozaic观察相比，模型下层和中间对流层CO（O-3）柱被约14（8）个PPBV呈正偏置。在季风前（季风）期间低估（过度估计）IASI CO列的模型，而在全年过度估计IASI O-3柱。与IASI检索超过五个人口众多城市的IASI检索相比，CO和O-3的模型模拟柱分别呈4-13％和23-33％。 Mozart-4的标记和敏感性模拟已被用于量化不同来源对印度陆地区域的对流层CO和O-3分布的贡献。在地表中，在不同季节期间，人为贡献在55％到81％的年平均贡献为67％。此贡献随着300 HPA的35％而随着高度的增加而降低。光学生成的CO的贡献在表面的9-33％中被发现。与Ant-Co不同，光化学的CO随高度增加，因为它在300 HPA时达到高达48％。在季风季节，地表BB-CO贡献了在印度东北部地区的30％。 NAT-CO的贡献被发现可忽略不计（约6％）附近的表面以及较高的高度。敏感性模拟用于将总臭氧（TO）分解为来自印度人为排放的臭氧的增强，称为印度污染臭氧（IPO）和总背景臭氧（TBO）。每年总臭氧在印度陆地区的表面上为30至70 ppbv，300 HPA，77至85 PPBV。 IPO和TBO每年在表面贡献58％和42％，分别为300 HPA的45％和55％。 IPO在季风季节期间产生了最大（68％）的贡献强劲（68％）。

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  • 来源
    《Atmospheric research》 |2019年第10期|165-177|共13页
  • 作者

    Yarragunta Yesobu; Srivastava Shuchita; Mitra D.; Le Flochmoen Eric; Barret Brice; Kumar Prashant; Chandola H. C.;

  • 作者单位

    Indian Space Res Org Indian Inst Remote Sensing Marine & Atmospher Sci Dept Kalidas Rd Dehra Dun Uttar Pradesh India|Kumaun Univ Dept Phys DSB Campus Naini Tal India;

    Indian Space Res Org Indian Inst Remote Sensing Marine & Atmospher Sci Dept Kalidas Rd Dehra Dun Uttar Pradesh India;

    Indian Space Res Org Indian Inst Remote Sensing Marine & Atmospher Sci Dept Kalidas Rd Dehra Dun Uttar Pradesh India;

    Univ Toulouse Lab Aerol CNRS UPS Toulouse France;

    Univ Toulouse Lab Aerol CNRS UPS Toulouse France;

    CSIR Cent Elcectron Engn Res Inst Pilani Rajasthan India|Acad Sci & Innovat Res AcSIR Ghaziabad India;

    Kumaun Univ Dept Phys DSB Campus Naini Tal India;

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