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    Development and Application of a Multipollutant Model for Atmospheric Mercury Deposition

    Source: Journal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 009::page 1341
    Author:
    Vijayaraghavan, Krish
    ,
    Seigneur, Christian
    ,
    Karamchandani, Prakash
    ,
    Chen, Shu-Yun
    DOI: 10.1175/JAM2536.1
    Publisher: American Meteorological Society
    Abstract: A multipollutant model, the Community Multiscale Air Quality model paired with the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (CMAQ-MADRID), is extended to include a comprehensive treatment of mercury processes and is applied to the simulation of the atmospheric deposition of sulfate and mercury over the United States during 1996. Model performance is evaluated first by comparison with annual sulfate wet deposition data from the National Atmospheric Deposition Program?s National Trends Network; the coefficient of determination r?2 is 0.77, and the model normalized error and bias are 53% and ?8%, respectively. When actual precipitation data are used to scale the deposition fluxes, r?2 improves to 0.91 and the error and bias change to 42% and ?41%, respectively. The scaled results underscore a tendency of the model to underestimate sulfate wet deposition. Model performance for mercury wet deposition is then evaluated by comparison with data from the Mercury Deposition Network. For annual mercury wet deposition, r?2 is 0.28 and the normalized error and bias are 81% and 73%, respectively, when the modeled precipitation data are used. Model performance improves when actual precipitation data are used to scale deposition fluxes: r?2 increases to 0.41 and the error and bias decrease to 40% and 29%, respectively. The model reproduces the spatial pattern of sulfate wet deposition adequately with an increasing gradient from the upper Midwest to the Northeast, that is, from upwind to downwind of large sulfur dioxide sources in the Ohio River Valley. However, the model tends to overestimate mercury wet deposition in the Northeast downwind of these sources that also emit significant amounts of mercury. This ?Pennsylvania anomaly? may be due to a partial misrepresentation of the mercury reduction?oxidation cycle, uncertainties in the dry deposition of divalent gaseous mercury HgII, incorrect speciation of mercury emissions, and/or uncharacterized emissions in the upper Midwest.
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      Development and Application of a Multipollutant Model for Atmospheric Mercury Deposition

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216692
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    contributor authorVijayaraghavan, Krish
    contributor authorSeigneur, Christian
    contributor authorKaramchandani, Prakash
    contributor authorChen, Shu-Yun
    date accessioned2017-06-09T16:48:20Z
    date available2017-06-09T16:48:20Z
    date copyright2007/09/01
    date issued2007
    identifier issn1558-8424
    identifier otherams-74464.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216692
    description abstractA multipollutant model, the Community Multiscale Air Quality model paired with the Model of Aerosol Dynamics, Reaction, Ionization, and Dissolution (CMAQ-MADRID), is extended to include a comprehensive treatment of mercury processes and is applied to the simulation of the atmospheric deposition of sulfate and mercury over the United States during 1996. Model performance is evaluated first by comparison with annual sulfate wet deposition data from the National Atmospheric Deposition Program?s National Trends Network; the coefficient of determination r?2 is 0.77, and the model normalized error and bias are 53% and ?8%, respectively. When actual precipitation data are used to scale the deposition fluxes, r?2 improves to 0.91 and the error and bias change to 42% and ?41%, respectively. The scaled results underscore a tendency of the model to underestimate sulfate wet deposition. Model performance for mercury wet deposition is then evaluated by comparison with data from the Mercury Deposition Network. For annual mercury wet deposition, r?2 is 0.28 and the normalized error and bias are 81% and 73%, respectively, when the modeled precipitation data are used. Model performance improves when actual precipitation data are used to scale deposition fluxes: r?2 increases to 0.41 and the error and bias decrease to 40% and 29%, respectively. The model reproduces the spatial pattern of sulfate wet deposition adequately with an increasing gradient from the upper Midwest to the Northeast, that is, from upwind to downwind of large sulfur dioxide sources in the Ohio River Valley. However, the model tends to overestimate mercury wet deposition in the Northeast downwind of these sources that also emit significant amounts of mercury. This ?Pennsylvania anomaly? may be due to a partial misrepresentation of the mercury reduction?oxidation cycle, uncertainties in the dry deposition of divalent gaseous mercury HgII, incorrect speciation of mercury emissions, and/or uncharacterized emissions in the upper Midwest.
    publisherAmerican Meteorological Society
    titleDevelopment and Application of a Multipollutant Model for Atmospheric Mercury Deposition
    typeJournal Paper
    journal volume46
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAM2536.1
    journal fristpage1341
    journal lastpage1353
    treeJournal of Applied Meteorology and Climatology:;2007:;volume( 046 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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