Pleim Jonathan E, Ran Limei, Saylor Rick D, Willison Jeff, Binkowski Francis S
U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
U.S. Department of Agriculture, Natural Resources Conservation Service, Greensboro, NC, USA.
J Adv Model Earth Syst. 2022 Nov 1;14(11):e2022MS003050. doi: 10.1029/2022MS003050.
Dry deposition of aerosols from the atmosphere is an important but poorly understood and inadequately modeled process in atmospheric systems for climate and air quality. Comparisons of currently used aerosol dry deposition models to a compendia of published field measurement studies in various landscapes show very poor agreement over a wide range of particle sizes. In this study, we develop and test a new aerosol dry deposition model that is a modification of the current model in the Community Multiscale Air Quality (CMAQ) model. The new model agrees much better with measured dry deposition velocities across particle sizes. The key innovation is the addition of a second inertial impaction term for microscale obstacles such as leaf hairs, microscale ridges, and needleleaf edge effects. The most significant effect of the new model is to increase the mass dry deposition of the accumulation mode aerosols in CMAQ. Accumulation mode mass dry deposition velocities increase by almost an order of magnitude in forested areas with lesser increases for shorter vegetation. Peak PM concentrations are reduced in some forested areas by up to 40% in CMAQ simulations. Over the continuous United States, the new model reduced PM by an average of 16% for July 2018 at the Air Quality System monitoring sites. For summer 2018 simulations, bias and error of PM concentrations are significantly reduced, especially in forested areas.
大气中气溶胶的干沉降是气候和空气质量大气系统中一个重要但却了解甚少且模拟不足的过程。将当前使用的气溶胶干沉降模型与已发表的各种景观实地测量研究汇编进行比较,结果表明在很宽的粒径范围内一致性非常差。在本研究中,我们开发并测试了一种新的气溶胶干沉降模型,它是对社区多尺度空气质量(CMAQ)模型中当前模型的一种改进。新模型在不同粒径的测量干沉降速度方面表现出更好的一致性。关键创新在于增加了一个针对微观障碍物(如叶毛、微尺度脊和针叶边缘效应)的二级惯性碰撞项。新模型最显著的影响是增加了CMAQ中积聚模态气溶胶的质量干沉降。在森林地区,积聚模态质量干沉降速度增加了近一个数量级,植被较短的地区增加幅度较小。在CMAQ模拟中,一些森林地区的PM峰值浓度降低了高达40%。在美国连续区域,新模型在2018年7月空气质量系统监测站点使PM平均降低了16%。对于2018年夏季模拟,PM浓度的偏差和误差显著降低,尤其是在森林地区。