Flux estimation of fugitive particulate matter emissions from loose Calcisols at construction sites

被引:25
|
作者
Hassan, Hala A. [1 ,2 ]
Kumar, Prashant [2 ,3 ]
Kakosimos, Konstantinos E. [1 ]
机构
[1] Texas A&M Univ Qatar, Dept Chem Engn, Doha 23874, Qatar
[2] Univ Surrey, Fac Engn & Phys Sci, Dept Civil & Environm Engn, Guildford GU2 7XH, Surrey, England
[3] Univ Surrey, Fac Engn & Phys Sci, Environm Flow EnFlo Res Ctr, Guildford GU2 7XH, Surrey, England
关键词
Air pollution; Construction emissions; Fugitive particulate matter; Carbonates; Calcisols; Middle-east region; DUST EMISSIONS; WINDBLOWN DUST; NORTH-AMERICA; OWENS LAKE; PARTICLES; MODEL; METALS; EUROPE; PM2.5;
D O I
10.1016/j.atmosenv.2016.06.054
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A major source of airborne pollution in arid and semi-arid environments (i.e. North Africa, Middle East, Central Asia, and Australia) is the fugitive particulate matter (fPM), which is a frequent product of wind erosion. However, accurate determination of fPM is an ongoing scientific challenge. The objective of this study is to examine (PM emissions from the loose Calcisols (i.e. soils with a substantial accumulation of secondary carbonates), owing to construction activities that can be frequently seen nowadays in arid urbanizing regions such as the Middle East. A two months field campaign was conducted at a construction site, at rest, within the city of Doha (Qatar) to measure number concentrations of PM over a size range of 0.25-32 mu m using light scattering based monitoring stations. The (PM emission fluxes were calculated using the Fugitive Dust Model (FDM) in an iterative manner and were fitted to a power function, which expresses the wind velocity dependence. The power factors were estimated as 1.87, 1.65, 2.70 and 2.06 for the four different size classes of particles <= 2.5, 2.5-6, 6-10 and <= 10 mu m, respectively. Fitted power function was considered acceptable given that adjusted R-2 values varied from 0.13 for the smaller particles and up to 0.69 for the larger ones. These power factors are in the same range of those reported in the literature for similar sources. The outcome of this study is expected to contribute to the improvement of PM emission inventories by focusing on an overlooked but significant pollution source, especially in dry and arid regions, and often located very close to residential areas and sensitive population groups. Further campaigns are recommended to reduce the uncertainty and include more (PM sources (e.g. earthworks) and other types of soil. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:96 / 105
页数:10
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