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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,粗和巨型颗粒干沉降速度的经验算法

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An empirical algorithm is developed for calculating bulkdry deposition velocity (Vd) of fine (PM2.5) – particles having adiameter of ≤ 2.5 μm), coarse (PM2.5−10 – particles havinga diameter of 2.5–10 μm), and giant (PM10+ – particles having adiameter of > 10 μm) atmospheric particles. The algorithmis developed from an empirical fit of Vd data calculated using thesize-resolved Vd scheme of Zhang et al. (2001) with assumed lognormalsize distributions of PM2.5, PM2.5−10 and PM10+. In the newalgorithm, the surface deposition velocity (Vds) is parameterized as asimple linear function of friction velocity (u*) for PM2.5 andas a polynomial function of u* for both PM2.5−10 andPM10+ over all the 26 land use categories (LUCs). An adjustment factoras an exponential function of u* and leaf area index (LAI) is alsoapplied to Vds of PM2.5−10 and PM10+ over 9 of the 26 LUCsthat have variable LAI. Constant gravitational settling velocities areprovided for PM2.5, PM2.5−10 and PM10+. Aerodynamicresistance between a reference height and the surface can be calculatedusing available analytical formulas from the literature. The bulk Vd ofPM2.5, PM2.5−10 and PM10+ at the reference height can thenbe calculated by combining the gravitational settling velocity, aerodynamicresistance and the parameterized Vds. Vd values calculated using thenew algorithm are within ±20% of those using the originalsize-resolved scheme for fine, coarse and giant particles. Uncertainties inVd 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 Vd of bulk aerosolparticles. Vd 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 2.5 )(直径≤2.5μm的颗粒)的干法沉积速度( V d ) ,粗大(PM 2.5-10 –直径为2.5–10μm的颗粒)和巨型(PM 10 + –直径> 10μm的颗粒)大气颗粒。该算法是根据使用张等人的尺寸解析 V d 方案计算的 V d 数据的经验拟合开发的等(2001年),假设PM 2.5 ,PM 2.5-10 和PM 10 + 的对数正态分布。在新算法中,将表面沉积速度( V ds )参数化为摩擦速度( u **)的简单线性函数sub> 2.5 的子集,对于PM 2.5-10 和PM 的多项式函数 u * 在所有26种土地利用类别(LUC)中,> 10 + 。调整因子作为 u * 的指数函数和叶面积指数(LAI)也适用于 V ds 在具有可变LAI的26个LUC中,有9个的PM 2.5−10 和PM 10 + 。为PM 2.5 ,PM 2.5-10 和PM 10 + 提供了恒定的重力沉降速度。参考高度和表面之间的空气动力学阻力可以使用文献中可用的分析公式来计算。 PM 2.5 ,PM 2.5-10 和PM 10 + 的体积 V d 然后可以通过结合重力沉降速度,空气阻力和参数化的 V ds 来计算参考高度处的高度。使用新算法计算的 V d 值在使用原始尺寸分辨方案的细颗粒,粗颗粒和巨型颗粒的±20%以内。由于预先假定的尺寸分布,新算法的 V d 值的不确定性对于细颗粒而言约为20%,对于粗颗粒而言约为2.0和巨大的粒子。新算法为计算散装气溶胶粒子的 V d 提供了一种替代方法。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地估算任何颗粒物的 V d

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