首页> 外文期刊>Atmospheric environment >Calculating ambient aerosol surface area concentrations using aerosol light scattering enhancement measurements
【24h】

Calculating ambient aerosol surface area concentrations using aerosol light scattering enhancement measurements

机译:使用气溶胶光散射增强测量计算环境气溶胶表面积浓度

获取原文
获取原文并翻译 | 示例
           

摘要

Aerosol surface area concentration (S-A) is crucial for studying atmospheric chemical reactions happened in aerosol water or on aerosol surface. However, there is no commercial instrument that can provide direct measurements of ambient S-A. In this paper, we propose a method to calculate ambient S-A based only on measurements of a three-wavelength humidified nephelometer system, which measures aerosol optical properties at three wavelengths under dry state and different relative humidity (RH) conditions. Two critical steps are required in this method: (1) Calculating surface area concentration of ambient aerosols in dry state, S-A(dry), using a trained random forest machine learning model based only on optical properties measured by the "dry" nephelometer. The proposed machine learning method is evaluated with particle number size distributions (PNSD) datasets from eight field campaigns conducted on the North China Plain during different seasons. The square of correlation coefficients between predicted and calculated S-A(dry) for PNSD is about 0.99, the average ratio between predicted and calculated S-A(dry) is 1.01 and 70% of data points has a relative difference less than 10%. (2) Calculating the surface area growth factor f(S)(RH) of ambient aerosol particles due to water uptake using the proposed f(S)(RH) parameterization scheme f(S)(RH) (1 + kappa(S) RH/100 - RH)(2/3), and the hygroscopicity parameter kappa(S) can be calculated using measured aerosol light scattering enhancement factor and Angstrom exponent. The ambient S-A values during two field campaigns which are conducted on the North China Plain (Wangdu campaign and Gucheng campaign, in summer and winter respectively) are calculated using the proposed method. The ambient S-A ranges from 42 to 1871 mu m(2)/cm(3) with an average of 319 mu m(2)/cm(3) during Wangdu campaign, and ranges from 19 to 4156 mu m(2)/cm(3) with an average of 788 mu m(2)/cm(3) during Gucheng campaign. Drastic daily variations of ambient S-A are observed during these two campaigns. The results demonstrate that aerosol hygroscopic growth impacts significantly on variations in ambient S-A especially under high RH conditions. The f(S)(RH) ranges from near 1 to 4 with an average of 1.4 during Wangdu campaign, and ranges from near 1 to 2.7 with an average of 1.3 during Gucheng campaign. The results indicate that the larger RH, the more sensitive f(S)(RH) becomes to variations in kappa(S) which highlights that real-time measurements of aerosol hygroscopicity are required for accurate calculations of ambient S-A. The advantage of the proposed method is that the ambient S-A can be obtained solely based on measurements of a three-wavelength humidified nephelometer system, facilitating real-time measurements of ambient S-A and promoting studies in aerosol heterogeneous reactions.
机译:气溶胶表面积浓度(S-A)对于研究气溶胶水或气溶胶表面发生的大气化学反应至关重要。但是,没有商业仪器可以提供环境S-A的直接测量。在本文中,我们提出了一种仅基于三波长加湿浊度计系统的测量来计算环境S-A的方法,该系统在干燥状态和不同的相对湿度(RH)条件下的三个波长下测量气溶胶光学性质。在该方法中需要两个关键步骤:(1)使用仅基于由“干燥”浊度计测量的光学性质的训练随机林机器学习模型,计算干燥状态,S-A(干燥)的环境气雾剂的表面积浓度。所提出的机器学习方法是用粒子数大小分布(PNSD)数据集评估,来自北中国平原在不同季节的八个场运动中。 PNSD预测和计算的S-A(干)之间的相关系数的平方约为0.99,预测和计算的S-A(干)之间的平均比率为1.01,70%的数据点的相对差异小于10%。 (2)使用所提出的F(rh)参数化方案F(1 + kappa(1 + kappa)计算由于水吸收引起的环境气溶胶颗粒的表面积生长因子F(s)(Rh)。(1 + kappa(s) RH / 100 - RH)(2/3)和吸湿性参数Kappa(S)可以使用测量的气溶胶光散射增强因子和抗埃指数来计算。使用所提出的方法计算在华北平原(王都广告系列,夏季和冬季)进行的两个场运动期间的环境S-A值。环境SA的范围为42至1871μm(2)/ cm(3),王都活动期间平均为319亩(2)/ cm(3),范围为19至4156亩(2)/ cm (3)古城竞选期间平均788亩(2)/ cm(3)。在这两个运动期间观察到环境S-A的急剧日常变化。结果表明,气溶胶吸湿性生长显着影响了环境S-A的变化,特别是在高RH条件下。 F(s)(RH)在王都活动期间平均为1.4,近1至2.7的平均范围为1.4,平均为1.3期间,古城竞选期间。结果表明,较大的RH,更敏感的F(S)(RH)变为Kappa的变化,其突出显示气溶胶吸湿性的实时测量,以便精确计算环境S-A。所提出的方法的优点是环境S-A可以仅基于三波长加湿浊度计系统的测量来获得,便于环境S-A的实时测量和促进气溶胶异质反应的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号