Aerosol & Atmospheric Research Laboratory, Department of Physics, Sri Krishnadevaraya University, Anantapur, 515 003 Andhra Pradesh, India.
Aerosol & Atmospheric Research Laboratory, Department of Physics, Sri Krishnadevaraya University, Anantapur, 515 003 Andhra Pradesh, India.
Sci Total Environ. 2015 Sep 15;527-528:507-19. doi: 10.1016/j.scitotenv.2015.04.086. Epub 2015 May 22.
This study presents a characterization of aerosol columnar properties measured at a semi-arid station Anantapur in the southern part of India during the period from October 2012 to September 2013. Aerosol optical depth (AOD) and Angstrom exponent (α) have been retrieved from Microtops II Sunphotometer over the observation site. The results show that a pronounced spectral and monthly variability in the optical properties of aerosols is mainly due to anthropogenic sources. The results show that the spectral curvature can effectively be used as a tool for aerosol type discrimination, since the fine-mode aerosols exhibit negative curvature, while the coarse-mode particles are positive. The classification of aerosols is also proposed by using the values of AOD at 500 nm and Angstrom exponent values (α(380-870)) by applying threshold values obtained from the frequency distribution of AOD. The results of the analysis were identified by four individual components (anthropogenic/biomass burning, coarse/dust, coarse/marine, clean continental) of different origin and compositions. The most frequent situations observed over the site are that due to the anthropogenic/biomass burning situations which account for about 45.37%, followed by coarse/dust (43.64%), clean continental (7.2%) and coarse/marine (3.82%) during summer. The identification of the aerosol source type and the modification processes are analyzed by using the Gobbi et al. (2007) classification scheme based on the measured scattering properties (α, dα) derived from the Microtops II Sunphotometer.
本研究对印度南部半干旱地区安纳普尔站 2012 年 10 月至 2013 年 9 月期间测量的气溶胶柱特性进行了描述。利用 Microtops II 太阳光度计反演了气溶胶光学厚度 (AOD) 和 Angstrom 指数 (α)。结果表明,气溶胶光学特性的明显光谱和月度变化主要归因于人为源。结果表明,谱曲率可以有效地作为气溶胶类型识别的工具,因为细模态气溶胶表现出负曲率,而粗模态粒子则表现出正曲率。还通过应用 AOD 在 500nm 处的数值和 Angstrom 指数值 (α(380-870)) 来分类气溶胶,使用从 AOD 的频率分布中获得的阈值来分类气溶胶。通过分析,确定了四个不同来源和组成的单独成分(人为/生物质燃烧、粗粒/粉尘、粗粒/海洋、清洁大陆)。站点观测到的最常见情况是人为/生物质燃烧情况,占 45.37%,其次是粗粒/粉尘(43.64%)、清洁大陆(7.2%)和粗粒/海洋(3.82%),这些情况主要出现在夏季。利用 Gobbi 等人(2007 年)提出的分类方案,根据 Microtops II 太阳光度计测量的散射特性(α、dα),分析了气溶胶源类型和改性过程。