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The vertical distribution of pollutants during export and long range transport: A comparison of model simulations and A-Train observations.

机译:出口和远程运输过程中污染物的垂直分布:模型模拟和A-Train观测的比较。

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摘要

Due to increasing concern over the detrimental effects of pollution on visibility, human health, and agriculture, many countries have begun to set more stringent air quality regulations and to take measures to reduce local emissions. However, recent studies have also shown that long range transport (LRT) of pollution from upwind sources can make a non-negligible contribution to background concentrations and potentially inhibit a region's ability to meet air quality standards. Quantifying this contribution has become an important research initiative; however, a major hindrance in determining the impact of transported plumes on a receptor site lies in a lack of information on the vertical distribution of pollutants during export and transport from a source region. The vertical distribution can determine the efficiency of transport by way of dominant removal processes and wind strength, which will determine the final surface impact at a downwind site.;In this study, we integrate aerosol extinction and optical depth observations from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), aerosol optical depth AOD from the Moderate-resolution Imaging Spectroradiometer (MODIS) along with measurements of carbon monoxide (CO) from the Tropospheric Emission Spectrometer (TES) with simulations of species concentrations from a global chemical transport model (GEOS-Chem) to examine the differences in gas and aerosol phase transport in the Northern Hemisphere. The different vertical structures exhibited by gaseous and particulate phase pollution due to differing sources and sinks provide opportunities to evaluate the model representation of mechanisms that determine the vertical structure, and ultimately the impact of LRT downwind. While CALIOP has unprecedented vertical resolution, it, like TES, has a small footprint and wide distance between scans, with no cross-track scanning. Therefore, comparisons with these satellite observations are particularly susceptible to model transport errors, especially on short time scales. We choose to minimize the effect of these sampling biases by examining LRT on a seasonal timescale.;From seasonal comparisons, it is evident that pollutants are exported from their source regions throughout the year; however, the most efficient transport of CO and aerosols happens in spring due to more efficient mechanisms for lofting. We also investigate the strong regional dependence, where pollutants experience higher lofting over the eastern coastal regions of Asia and North America compared to Europe. In GEOS-Chem, pollutants that are lofted are more efficiently transported, while pollutants in the boundary layer are quickly removed. For CO, GEOS-Chem shows no particular bias compared to observations in the vertical distribution; however, these CO observations have limited vertical sensitivity. Aerosol extinction observations from CALIOP have increased vertical sensitivity and suggest that GEOS-Chem shows a high bias in source regions such as East Asia and over Europe, and a conversely low bias in outflow regions.
机译:由于人们越来越关注污染对能见度,人类健康和农业的有害影响,许多国家已开始制定更严格的空气质量法规,并采取措施减少本地排放。但是,最近的研究还表明,来自上风源的污染物的长距离传输(LRT)可能对背景浓度做出不可忽略的贡献,并可能抑制该地区达到空气质量标准的能力。量化这一贡献已成为一项重要的研究计划。然而,确定运输羽流对受体部位的影响的主要障碍在于缺乏有关从源地区出口和运输过程中污染物垂直分布的信息。垂直分布可以通过主要的去除过程和风强度来确定运输效率,这将决定顺风地点的最终表面影响。在本研究中,我们结合了来自云气溶胶激光雷达的气溶胶消光和光学深度观测正交偏振(CALIOP),中等分辨率成像光谱仪(MODIS)的气溶胶光学深度AOD以及对流层发射光谱仪(TES)的一氧化碳(CO)的测量以及来自全球化学传输模型的物种浓度模拟( GEOS-Chem)检查北半球气相和气溶胶相输运的差异。由于不同的源和汇,气态和颗粒相污染表现出的不同垂直结构为评估确定垂直结构的机制的模型表示提供了机会,并最终评估了轻快铁顺风的影响。尽管CALIOP具有空前的垂直分辨率,但与TES一样,它的占用空间小,并且两次扫描之间的距离较宽,没有跨轨扫描。因此,与这些卫星观测值的比较特别容易受到模型传输误差的影响,尤其是在短时间尺度上。我们选择通过在季节性时间尺度上检查轻轨时间来最大程度地减少这些抽样偏差的影响。;从季节比较中,很明显,污染物是全年从其源区域输出的;然而,由于更有效的放样机制,春季最有效的一氧化碳和气溶胶运输。我们还研究了强烈的区域依赖性,与欧洲相比,亚洲和北美东部沿海地区污染物的放高程度更高。在GEOS-Chem中,放样的污染物可以更有效地运输,而边界层中的污染物则可以快速清除。对于CO,与垂直分布的观测值相比,GEOS-Chem没有显示出特别的偏差。但是,这些CO观测值的垂直灵敏度有限。来自CALIOP的气溶胶消光观测结果增加了垂直灵敏度,表明GEOS-Chem在东亚和整个欧洲等源区显示出较高的偏差,而在流出区显示出较低的偏差。

著录项

  • 作者

    Ford, Bonne.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Atmospheric Chemistry.;Atmospheric Sciences.
  • 学位 M.S.
  • 年度 2011
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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