Advanced Environmental Monitoring 2008
DOI: 10.1007/978-1-4020-6364-0_11
|View full text |Cite
|
Sign up to set email alerts
|

A Novel Method to Quantify Fugitive Dust Emissions Using Optical Remote Sensing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
13
0

Year Published

2009
2009
2024
2024

Publication Types

Select...
5
2
1

Relationship

4
4

Authors

Journals

citations
Cited by 10 publications
(14 citation statements)
references
References 4 publications
1
13
0
Order By: Relevance
“…However, the variability likely results, in part, from a combination of low wind speeds that occurred for certain tests combined with the variability of the wind direction as the wind transports the particles to the flux plane. Typically the dust plumes impacted all three of the towers, which suggest minimum widths of 50 m. This is corroborated by optical remote sensing measurements made by Varma et al 8 of the same plumes, which were almost coincident with the tower measurements. They report plumes widths of ϳ70 m near the ground.…”
Section: Resultssupporting
confidence: 78%
“…However, the variability likely results, in part, from a combination of low wind speeds that occurred for certain tests combined with the variability of the wind direction as the wind transports the particles to the flux plane. Typically the dust plumes impacted all three of the towers, which suggest minimum widths of 50 m. This is corroborated by optical remote sensing measurements made by Varma et al 8 of the same plumes, which were almost coincident with the tower measurements. They report plumes widths of ϳ70 m near the ground.…”
Section: Resultssupporting
confidence: 78%
“…This is confirmed by the MPL extinction data for a path that includes the location of the OP-FTIR, in which extinction values were much higher at event 6 than in event 1 data as shown in Table 3-30. Figure 3-15 and with the familiar dust extinction feature (Varma et al, 2007) as shown in Figure 3-16. Since measurements during OD events occur further downwind than during OB events, CO 2 and NO are only sporadically detected and the measured concentrations are very close to detection limit.…”
Section: Ors For Gasesmentioning
confidence: 82%
“…None of these compounds was detected above 1 ppb for benzene and above 10 ppb for NO 2 . Figure 3-15) that may be associated with non-dust PM absorption (Varma et al, 2007). These could be transitional aerosol compounds and should be investigated further.…”
Section: Ors For Gasesmentioning
confidence: 99%
“…The wavelength correction factor was determined by considering the PSD measured before, in a similar desert environment 2 ) 10 to 461 (Varma et al, 2006;Du et al, 2011a, b) and was varied by changing the mean diameter by number, so PM 2.5 /PM 10 was varied. Mie-Lorenz theory (Bohren and Huffman, 1983) was then used to calculate a wavelength correction factor for each selected PSD, assuming particles are spherical and a refractive index of 1.54 + 0i, a value that is representative of mineral dust.…”
Section: Ef Measurement With the Hybrid-ors Methodsmentioning
confidence: 99%
“…In the earlier ORS method, MEE values were determined by first determining particle size distributions (PSDs) using wavelength-dependent light extinction measurements obtained with an open path-laser transmissometer (OP-LT) and an open-path Fourier Transform Infrared spectrometer. Then, MEE values were calculated using PSDs and assumed particle density and refractive index using Mie-Lorenz theory (Varma et al, 2006;Du et al, 2011a). In the hybrid-ORS method reported here, MEE values are determined by simultaneously measuring real-time light extinction with an OP-LT and PM 10 and PM 2.5 mass concentrations with optically based DustTrak™ monitors.…”
Section: Introductionmentioning
confidence: 99%