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Indian emissions of technology-linked NMVOCs with chemical speciation: An evaluation of the SAPRC99 mechanism with WRF-CAMx simulations

机译:印度排放的与化学形态相关的与技术相关的NMVOC:通过WRF-CAMx模拟对SAPRC99机制的评估

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摘要

Non-methane volatile organic compounds (NMVOCs) are important precursors to reactions producing tropospheric ozone and secondary organic aerosols. The present work uses a detailed technology-linked NMVOC emission database for India, along with a standard mapping method to measured NMVOC profiles, to develop speciated NMVOC emissions, which are aggregated into multiple chemical mechanisms used in chemical transport models. The fully speciated NMVOC emissions inventory with 423 constituent species, was regrouped into model-ready reactivity classes of the RADM2, SAPRC99 and CB-IV chemical mechanisms, and spatially distributed at 25 x 25 km(2) resolution, using source-specific spatial proxies. Emissions were considered from four major sectors, i.e. industry, transport, agriculture and residential and from non-combustion activities (use of solvents and paints). It was found that residential cooking with biomass fuels, followed by agricultural residue burning in fields and on-road transport, were largest contributors to the highest reactivity group of NMVOC emissions from India. The emissions were evaluated using WRF-CAMx simulations, using the SAPRC99 photochemical mechanism, over India for contrasting months of April, July and October 2010. Modelled columnar abundance of NO2, CO and O-3 agreed well with satellite observations both in magnitude and spatial distribution, in the three contrasting months. Evaluation of monthly and spatial differences between model predictions and observations indicates the need for further refinement of the spatial distribution of NOX emissions, spatio-temporal distribution of agricultural residue burning emissions. (C) 2016 Elsevier Ltd. All rights reserved.
机译:非甲烷挥发性有机化合物(NMVOCs)是产生对流层臭氧和二次有机气溶胶的重要反应前体。本工作使用了一个与印度相关的与技术相关的详细NMVOC排放数据库,以及一种用于测量NMVOC轮廓的标准映射方法,以开发特定的NMVOC排放量,这些排放量被汇总为用于化学运输模型的多种化学机制。具有423个组成物种的完全指定的NMVOC排放清单被重新分类为RADM2,SAPRC99和CB-IV化学机制的模型就绪反应性类别,并使用源特定的空间代理以25 x 25 km(2)的分辨率进行空间分布。考虑了来自四个主要部门的排放,即工业,运输,农业和住宅以及非燃烧活动(使用溶剂和油漆)。研究发现,使用生物质燃料进行住宅烹饪,然后在田间燃烧农业残留物并进行公路运输,是造成印度NMVOC排放最高反应性组的最大原因。在2010年4月,7月和10月的几个月中,使用WRF-CAMx模拟和SAPRC99光化学机理对印度的排放进行了评估。NO2,CO和O-3的柱状丰度模型与卫星观测在大小和空间上都非常吻合分布,在三个相反的月份。对模型预测和观测值之间月度和空间差异的评估表明,需要进一步完善NOX排放的空间分布,农业残渣燃烧排放的时空分布。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Atmospheric environment》 |2016年第6期|70-83|共14页
  • 作者单位

    Indian Inst Technol, Dept Chem Engn, Bombay 400076, Maharashtra, India;

    Indian Inst Technol, Dept Chem Engn, Bombay 400076, Maharashtra, India|Indian Inst Technol, Interdisciplinary Programme Climate Studies, Bombay 400076, Maharashtra, India;

    Indian Inst Technol, Interdisciplinary Programme Climate Studies, Bombay 400076, Maharashtra, India;

    Indian Inst Technol, Dept Chem Engn, Bombay 400076, Maharashtra, India|Indian Inst Technol, Interdisciplinary Programme Climate Studies, Bombay 400076, Maharashtra, India;

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

    RADM2; SAPRC99; CB-IV; Residential biomass cooking; Agricultural field burning; On-road transport;

    机译:RADM2;SAPRC99;CB-IV;住宅生物质烹饪;农业燃烧;公路运输;

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