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Technical Note: An empirical algorithm estimating dry deposition velocity of fine, coarse and giant particles

机译:技术说明:估算细小,粗大和巨型颗粒干沉降速度的经验算法

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摘要

An empirical algorithm is developed for calculating bulkdry deposition velocity () of fine (PM) – particles having adiameter of ≤ 2.5 μm), coarse (PM – particles havinga diameter of 2.5–10 μm), and giant (PM – particles having adiameter of > 10 μm) atmospheric particles. The algorithmis developed from an empirical fit of data calculated using thesize-resolved scheme of Zhang et al. (2001) with assumed lognormalsize distributions of PM, PM and PM. In the newalgorithm, the surface deposition velocity () is parameterized as asimple linear function of friction velocity () for PM andas a polynomial function of for both PM andPM over all the 26 land use categories (LUCs). An adjustment factoras an exponential function of and leaf area index (LAI) is alsoapplied to of PM and PM over 9 of the 26 LUCsthat have variable LAI. Constant gravitational settling velocities areprovided for PM, PM and PM. Aerodynamicresistance between a reference height and the surface can be calculatedusing available analytical formulas from the literature. The bulk ofPM, PM and PM at the reference height can thenbe calculated by combining the gravitational settling velocity, aerodynamicresistance and the parameterized . values calculated using thenew algorithm are within ±20% of those using the originalsize-resolved scheme for fine, coarse and giant particles. Uncertainties in values from the new algorithm due to the pre-assumed sizedistributions are on the order of 20% for fine particles and on the orderof a factor of 2.0 for coarse and giant particles. The new algorithmprovides an alternative approach for calculating of bulk aerosolparticles. of any particulate species can be simply estimated usingthis scheme as long as the mass fractions in fine, coarse and giant particlesare known or can be assumed.
机译:开发了一种经验算法,用于计算细颗粒(PM)–直径≤2.5μm的颗粒,粗颗粒颗粒(PM –直径2.5–10μm的颗粒)和巨型颗粒(PM-直径为2.5 mm的颗粒)的干法沉积速度()。 > 10μm)大气颗粒。该算法是根据使用Zhang等人的尺寸解析方案计算出的数据进行经验拟合而开发的。 (2001年)假设PM,PM和PM的对数正态分布。在新算法中,在所有26种土地利用类别(LUC)中,表面沉积速度()被参数化为PM摩擦速度()的简单线性函数,以及PM和PM的多项式函数。在具有可变LAI的26个LUC中,有9个的LUC的PM和PM的调整因子是叶面积指数(LAI)的指数函数。为PM,PM和PM提供了恒定的重力沉降速度。可以使用文献中可用的分析公式来计算参考高度和表面之间的空气动力学阻力。然后可以通过结合重力沉降速度,空气动力阻力和参数化来计算参考高度处的PM,PM和PM的体积。使用新算法计算出的细颗粒,粗颗粒和巨颗粒的值在原始尺寸解析方案的±20%以内。由于预先假定的尺寸分布,新算法的值不确定性对于细颗粒约为20%,对于粗颗粒和巨型颗粒约为2.0倍。新算法为计算散装气溶胶颗粒提供了另一种方法。只要知道或可以假定细颗粒,粗颗粒和大颗粒中的质量分数,就可以使用此方案简单估算任何颗粒种类的质量。

著录项

  • 作者

    Zhang L.; He Z.;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 eng
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