Mogo S, López J F, Cachorro V E, de Frutos A, Zocca R, Barroso A, Mateos D, Conceição E
Dpto. de Física, Univ. da Beira Interior, Covilhã, Portugal.
Grupo de Óptica Atmosférica, Univ. de Valladolid, Valladolid, Spain and Signal and Image Centre, Royal Military Academy, Brussels, Belgium.
Environ Sci Process Impacts. 2017 Feb 22;19(2):123-133. doi: 10.1039/c6em00629a.
Continuous measurements of the optical properties of aerosol particles have been made at Valladolid, Spain, covering the period from June 2011 to July 2012. The measurements were made at two size cuts: sub-10 μm and sub-1 μm (PM10 and PM1). The data measured were the scattering and backscattering coefficients, σ and σ, obtained from an integrating nephelometer, and the absorption coefficient, σ, obtained from a particle soot absorption photometer. Spectrally resolved data were obtained from both instruments at 3 wavelengths (blue/green/red) at low relative humidity (RH < 40%). The statistical data for the instruments were calculated based on the hourly averages. For the PM10 fraction, the hourly mean values of σ and σ at 550 nm were 33 Mm (StD = 30 Mm) and 4 Mm (StD = 3 Mm), respectively. For the PM1 fraction, σ and σ mean values were 16 Mm (StD = 14 Mm) and 4 Mm (StD = 3 Mm), also at 550 nm. The derived parameters analyzed were the single scattering albedo, ω, the backscatter fraction, σ/σ, and the Ångström exponents of scattering, absorption and single scattering albedo, α, α and α. The contribution of the PM10 and the PM1 fractions for all these parameters plays a central role throughout the paper, allowing an improved classification of aerosol types. Our data are dominated by elemental carbon (EC) and elemental carbon/organic carbon mixed (EC/OC). For the PM10 data, dust dominated aerosol is also observed. Although we found that fine particles contribute more than coarse particles for decreasing the ω values, results suggest that it is also necessary to quantify the effect of coarse particles. Fine particles were found to produce ω spectra that decrease with the wavelength, α > 0, while PM10 fractions were found to produce spectra that can decrease or increase with the wavelength, 0 < α < 0. Both daily cycle and monthly variations are analyzed and related to local features as well as the transport of particles from elsewhere. A diurnal pattern characteristic of urban areas is observed, but it is less evident on weekends. The main long range transport influences are Atlantic advection, anthropogenic events from Central Europe and dust events.
在西班牙巴利亚多利德对气溶胶颗粒的光学特性进行了连续测量,测量期从2011年6月至2012年7月。测量在两个粒径区间进行:小于10μm和小于1μm(PM10和PM1)。测量的数据是通过积分浊度仪获得的散射系数和后向散射系数σ和σ,以及通过颗粒烟尘吸收光度计获得的吸收系数σ。在低相对湿度(RH < 40%)下,两台仪器均在3个波长(蓝/绿/红)下获得了光谱分辨数据。仪器的统计数据基于每小时平均值计算得出。对于PM10部分,550nm处σ和σ的每小时平均值分别为33Mm(标准偏差 = 30Mm)和4Mm(标准偏差 = 3Mm)。对于PM1部分,同样在550nm处,σ和σ的平均值分别为16Mm(标准偏差 = 14Mm)和4Mm(标准偏差 = 3Mm)。分析得出的参数包括单次散射反照率ω、后向散射分数σ/σ以及散射、吸收和单次散射反照率的Ångström指数α、α和α。PM10和PM1部分对所有这些参数的贡献在整篇论文中起着核心作用,有助于改进气溶胶类型的分类。我们的数据主要由元素碳(EC)以及元素碳/有机碳混合(EC/OC)组成。对于PM10数据,还观测到了以沙尘为主的气溶胶。尽管我们发现细颗粒在降低ω值方面比粗颗粒贡献更大,但结果表明也有必要量化粗颗粒的影响。发现细颗粒产生的ω光谱随波长减小,α > 0,而PM10部分产生的光谱可能随波长减小或增大,0 < α < α。分析了日变化周期和月变化,并将其与当地特征以及来自其他地方的颗粒传输相关联。观测到了城市地区典型的昼夜模式,但在周末不太明显。主要的远距离传输影响包括大西洋平流、来自中欧的人为活动以及沙尘事件。