Real time measurement of transient event emissions of air toxics by tomographic remote sensing in tandem with mobile monitoring

被引:10
|
作者
Olaguer, Eduardo P. [1 ]
Stutz, Jochen [2 ]
Erickson, Matthew H. [3 ]
Hurlock, Stephen C. [2 ]
Cheung, Ross [2 ]
Tsai, Catalina [2 ]
Colosimo, Santo F. [2 ]
Festa, James [2 ]
Wijesinghe, Asanga [1 ]
Neish, Bradley S. [1 ]
机构
[1] Houston Adv Res Ctr, 4800 Res Forest Dr, The Woodlands, TX 77386 USA
[2] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[3] Univ Houston, Houston, TX 77004 USA
关键词
Remote sensing; Computer aided tomography; Air quality; Hazardous air pollutants; Modeling; Real time monitoring; MODEL; RECONSTRUCTION; ATTRIBUTION;
D O I
10.1016/j.atmosenv.2016.11.058
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
During the Benzene and other Toxics Exposure (BEE-TEX) study, a remote sensing network based on long path Differential Optical Absorption Spectroscopy (DOAS) was set up in the Manchester neighborhood beside the Ship Channel of Houston, Texas in order to perform Computer Aided Tomography (CAT) scans of hazardous air pollutants. On 18-19 February 2015, the CAT scan network detected large nocturnal plumes of toluene and xylenes most likely associated with railcar loading and unloading operations at Ship Channel petrochemical facilities. The presence of such plumes during railcar operations was confirmed by a mobile laboratory equipped with a Proton Transfer Reaction Mass Spectrometer (PTR-MS), which measured transient peaks of toluene and C-2-benzenes of 50 ppb and 57 ppb respectively around 4 a.m. LST on 19 February 2015. Plume reconstruction and source attribution were performed using the 4D variational data assimilation technique and a 3D micro-scale forward and adjoint air quality model based on both tomographic and PTR-MS data. Inverse model estimates of fugitive emissions associated with railcar transfer emissions ranged from 2.0 to 8.2 kg/hr for toluene and from 2.2 to 3.5 kg/hr for xylenes in the early morning of 19 February 2015. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:220 / 228
页数:9
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