Khodeir Mamdouh, Shamy Magdy, Alghamdi Mansour, Zhong Mianhua, Sun Hong, Costa Max, Chen Lung-Chi, Maciejczyk Polina
Department of Environmental Sciences, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah Saudi Arabia.
Department of Environmental Medicine, NYU School of Medicine, Tuxedo, NY, USA.
Atmos Pollut Res. 2012 Jul 1;3(3):331-340. doi: 10.5094/apr.2012.037.
This paper presents the first comprehensive investigation of PM2.5 and PM10 composition and sources in Saudi Arabia. We conducted a multi-week multiple sites sampling campaign in Jeddah between June and September, 2011, and analyzed samples by XRF. The overall mean mass concentration was 28.4 ± 25.4 μg/m for PM2.5 and 87.3 ± 47.3 μg/m for PM10, with significant temporal and spatial variability. The average ratio of PM2.5/PM10 was 0.33. Chemical composition data were modeled using factor analysis with varimax orthogonal rotation to determine five and four particle source categories contributing significant amount of for PM2.5 and PM10 mass, respectively. In both PM2.5 and PM10 sources were (1) heavy oil combustion characterized by high Ni and V; (2) resuspended soil characterized by high concentrations of Ca, Fe, Al, and Si; and (3) marine aerosol. The two other sources in PM2.5 were (4) Cu/Zn source; (5) traffic source identified by presence of Pb, Br, and Se; while in PM10 it was a mixed industrial source. To estimate the mass contributions of each individual source category, the CAPs mass concentration was regressed against the factor scores. Cumulatively, resuspended soil and oil combustion contributed 77 and 82% mass of PM2.5 and PM10, respectively.
本文首次对沙特阿拉伯的细颗粒物(PM2.5)和可吸入颗粒物(PM10)的成分及来源进行了全面调查。2011年6月至9月期间,我们在吉达开展了为期数周的多站点采样活动,并通过X射线荧光光谱法(XRF)对样本进行了分析。PM2.5的总体平均质量浓度为28.4±25.4微克/立方米,PM10为87.3±47.3微克/立方米,具有显著的时间和空间变异性。PM2.5/PM10的平均比值为0.33。利用因子分析和方差最大化正交旋转对化学成分数据进行建模,以确定分别对PM2.5和PM10质量贡献显著的五类和四类颗粒物来源。在PM2.5和PM10中,来源包括:(1)以高镍和钒为特征的重油燃烧;(2)以高浓度钙、铁、铝和硅为特征的土壤扬尘;(3)海洋气溶胶。PM2.5中的另外两类来源是:(4)铜/锌源;(5)通过铅、溴和硒的存在确定的交通源;而在PM10中则是混合工业源。为了估算每个来源类别的质量贡献,将化学质量浓度与因子得分进行回归分析。累计而言,土壤扬尘和重油燃烧分别占PM2.5和PM10质量的77%和82%。