Real time measurement of transient event emissions of air toxics by tomographic remote sensing in tandem with mobile monitoring
Autor: | Bradley S. Neish, James Festa, S. F. Colosimo, Catalina Tsai, S. C. Hurlock, Ross Cheung, Asanga Wijesinghe, Eduardo P. Olaguer, Matthew H. Erickson, Jochen Stutz |
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Rok vydání: | 2017 |
Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology Spectrometer Differential optical absorption spectroscopy 010501 environmental sciences 01 natural sciences Plume Data assimilation Remote sensing (archaeology) Environmental science Transient (oscillation) Fugitive emissions Air quality index 0105 earth and related environmental sciences General Environmental Science Remote sensing |
Zdroj: | Atmospheric Environment. 150:220-228 |
ISSN: | 1352-2310 |
Popis: | 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. |
Databáze: | OpenAIRE |
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