不同气溶胶浓度和相对湿度对城市大气能见度和粒径分布的影响

U. Abdulkarim, B. Tijjani
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引用次数: 2

摘要

已发现大气气溶胶浓度在短时间内由于污染源、风和人类活动的影响而不断变化。这已被证明是研究城市大气中随相对湿度变化的气溶胶浓度变化及其如何影响能见度和气溶胶粒径分布的限制。本研究利用OPAC 4.0在相对湿度(RH)为0 ~ 99%,可见光波长0.4 ~ 0.8 μm范围内的平均浓度设置,模拟了3种气溶胶组分WASO(水溶性)、INSO(不溶性)和SOOT的浓度变化。对能见度的Kaufman一阶和二阶多项式方程进行回归分析,得到了埃斯特姆指数(α)、曲率(α2)和大气浊度(β)。通过有效吸湿增长(geff)确定了气溶胶粒径增长曲线的平均指数(µ),通过能见度增强f (RH, λ)确定了增湿因子(γ)。气溶胶粒径分布的平均指数(υ)由µ和γ确定。结果表明:在不同相对湿度下,随着WASO、INSO和SOOT浓度的变化,气溶胶粒径分布呈现以细模态为主的双峰特征;朦胧的大气条件盛行,浑浊度增加。
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Effect of Varying Aerosol Concentrations and Relative Humidity on Visibility and Particle Size Distribution in Urban Atmosphere
Atmospheric aerosol concentrations have been found to change constantly due to the influence of source, winds and human activities over short time periods. This has proved to be a constraint to the study of varied aerosol concentrations in urban atmosphere alongside changing relative humidity and how it affects visibility and aerosol particle size distribution. In this research simulation was carried out using Optical Properties of Aerosols and Clouds (OPAC 4.0) average concentration setup for relative humidity (RH) 0-99% at visible wavelength 0.4-0.8 μm to vary the concentrations of three aerosol components: WASO (Water-soluble), INSO (Insoluble) and SOOT. The Angstrom exponents (α), the curvatures (α2) and atmospheric turbidities (β) were obtained from the regression analysis of Kaufman’s first and second order polynomial equations for visibility. The research determined the mean exponent of the aerosol size growth curve (µ) from the effective hygroscopic growth (geff) and the humidification factors (γ) from visibility enhancement f (RH, λ). The mean exponent of aerosol size distributions (υ) was determined from µ and γ. The results showed that with varied WASO, INSO and SOOT concentrations respectively at different RH, aerosol particle size distributions showed bimodal characteristics with dominance of fine mode particles. Hazy atmospheric conditions prevailed with increasing turbidity.
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