Fugitive dust emissions from trucks on unpaved roads

1976 ◽  
Vol 10 (10) ◽  
pp. 1046-1048 ◽  
Author(s):  
Rodney I. J. Dyck ◽  
James J. Stukel
Keyword(s):  
Fugitive Dust ◽  
Unpaved Roads ◽  
Dust Emissions

scholarly journals Quantifying Fugitive Dust Emissions From Limestone Quarries : Data Selection And Uncertainty Assessment

2021 ◽  
Author(s):  
Aaron B. Weinstock
Keyword(s):  
Material Properties ◽  
Material Handling ◽  
Uncertainty Assessment ◽  
Fugitive Dust ◽  
Climate Data ◽  
Unpaved Roads ◽  
Dust Emissions ◽  
Typical Material ◽  
Hourly Data ◽  
And Storage

Accurate quantification of fugitive dust emissions from quarries helps maintain the integrity of the National Pollutant Release Inventory. Emissions from unpaved roads, material handling, and storage piles at three quarries were calculated using the AP-42 emissions factor method, and the error of using 30-year climate averages, the uncertainty introduced by typical material properties, and the limited availability of climate data were addressed. Using daily and hourly data predicted unpaved roads emissions between 38.95% and 43.50% higher, materials handling emissions 15.31% lower to 18.64% higher, and storage pile emissions 12.48% to 37.50% lower than calculations using 30-yer averages. Employing Monte Carlo simulation, the confidence intervals attributable to typical material properties ranged from 87.50% below to 650% above the mean. Krige-interpolated climate data showed potential for being more accurate that observations at the nearest station. Using site-specific, temporally-relevant data and assessing uncertainty promotes calculations that better match the goals of the inventory.

scholarly journals Quantifying Fugitive Dust Emissions From Limestone Quarries : Data Selection And Uncertainty Assessment

2021 ◽  
Author(s):  
Aaron B. Weinstock
Keyword(s):  
Material Properties ◽  
Material Handling ◽  
Uncertainty Assessment ◽  
Fugitive Dust ◽  
Climate Data ◽  
Unpaved Roads ◽  
Dust Emissions ◽  
Typical Material ◽  
Hourly Data ◽  
And Storage

Accurate quantification of fugitive dust emissions from quarries helps maintain the integrity of the National Pollutant Release Inventory. Emissions from unpaved roads, material handling, and storage piles at three quarries were calculated using the AP-42 emissions factor method, and the error of using 30-year climate averages, the uncertainty introduced by typical material properties, and the limited availability of climate data were addressed. Using daily and hourly data predicted unpaved roads emissions between 38.95% and 43.50% higher, materials handling emissions 15.31% lower to 18.64% higher, and storage pile emissions 12.48% to 37.50% lower than calculations using 30-yer averages. Employing Monte Carlo simulation, the confidence intervals attributable to typical material properties ranged from 87.50% below to 650% above the mean. Krige-interpolated climate data showed potential for being more accurate that observations at the nearest station. Using site-specific, temporally-relevant data and assessing uncertainty promotes calculations that better match the goals of the inventory.

Monitoring fugitive dust emissions from off-highway vehicles traveling on unpaved roads and trails using passive samplers

2007 ◽  
Vol 144 (1-3) ◽  
pp. 93-103 ◽  
Author(s):  
Pamela E. Padgett ◽  
Dexter Meadows ◽  
Ellen Eubanks ◽  
William E. Ryan
Keyword(s):  
Passive Samplers ◽  
Fugitive Dust ◽  
Unpaved Roads ◽  
Dust Emissions

scholarly journals Measures to reduce air pollution caused by fugitive dust emissions from harbour activities

2018 ◽  
Vol 1 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Sandra Sorte ◽  
Myriam Lopes ◽  
Vera Rodrigues ◽  
Joana Leitão ◽  
Alexandra Monteiro ◽  
...  
Keyword(s):  
Air Pollution ◽  
Fugitive Dust ◽  
Dust Emissions

Sampling requirements for estimating fugitive dust emissions

1996 ◽  
Vol 27 ◽  
pp. S71-S72
Author(s):  
E. Vrins
Keyword(s):  
Fugitive Dust ◽  
Dust Emissions

A methodology for the determination of fugitive dust emissions from landfill sites

2015 ◽  
Vol 25 (5) ◽  
pp. 551-569 ◽  
Author(s):  
Eleftheria Chalvatzaki ◽  
Thodoros Glytsos ◽  
Mihalis Lazaridis
Keyword(s):  
Fugitive Dust ◽  
Dust Emissions ◽  
Landfill Sites

Problems in calculating fugitive-dust emissions for coal-handling facilities and storage piles

1984 ◽  
Vol 3 (1) ◽  
pp. 33-40
Author(s):  
David Stein ◽  
Glenn Crow
Keyword(s):  
Fugitive Dust ◽  
Dust Emissions ◽  
And Storage

NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5)

2017 ◽  
Vol 32 (1) ◽  
pp. 343-360 ◽  
Author(s):  
Pius Lee ◽  
Jeffery McQueen ◽  
Ivanka Stajner ◽  
Jianping Huang ◽  
Li Pan ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Monitoring Network ◽  
Chemical Mechanism ◽  
Organic Nitrate ◽  
Fugitive Dust ◽  
Regional Variability ◽  
Dust Emissions ◽  
Numerical Predictions ◽  
Forecast Guidance

Abstract The National Air Quality Forecasting Capability (NAQFC) upgraded its modeling system that provides developmental numerical predictions of particulate matter smaller than 2.5 μm in diameter (PM2.5) in January 2015. The issuance of PM2.5 forecast guidance has become more punctual and reliable because developmental PM2.5 predictions are provided from the same system that produces operational ozone predictions on the National Centers for Environmental Prediction (NCEP) supercomputers. There were three major upgrades in January 2015: 1) incorporation of real-time intermittent sources for particles emitted from wildfires and windblown dust originating within the NAQFC domain, 2) suppression of fugitive dust emissions from snow- and/or ice-covered terrain, and 3) a shorter life cycle for organic nitrate in the gaseous-phase chemical mechanism. In May 2015 a further upgrade for emission sources was included using the U.S. Environmental Protection Agency’s (EPA) 2011 National Emission Inventory (NEI). Emissions for ocean-going ships and on-road mobile sources will continue to rely on NEI 2005. Incremental tests and evaluations of these upgrades were performed over multiple seasons. They were verified against the EPA’s AIRNow surface monitoring network for air pollutants. Impacts of the three upgrades on the prediction of surface PM2.5 concentrations show large regional variability: the inclusion of windblown dust emissions in May 2014 improved PM2.5 predictions over the western states and the suppression of fugitive dust in January 2015 reduced PM2.5 bias by 52%, from 6.5 to 3.1 μg m−3 against a monthly average of 9.4 μg m−3 for the north-central United States.

scholarly journals Measurement System Evaluation for Upwind/Downwind Sampling of Fugitive Dust Emissions

2011 ◽  
Vol 11 (4) ◽  
pp. 331-350 ◽  
Author(s):  
John G. Watson ◽  
Judith C. Chow ◽  
Li Chen ◽  
Xiaoliang Wang ◽  
Thomas M. Merrifield ◽  
...  
Keyword(s):  
Measurement System ◽  
System Evaluation ◽  
Fugitive Dust ◽  
Dust Emissions

An Advanced Test Method forMeasuring Fugitive Dust Emissions Using a Hybrid System of Optical Remote Sensing and PointMonitor Techniques

2009 ◽  
pp. 73-81 ◽  
Author(s):  
Ram A. Hashmonay ◽  
Robert H. Kagann ◽  
Mark J. Rood ◽  
Byung J. Kim ◽  
Michael R. Kemme ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hybrid System ◽  
Test Method ◽  
Optical Remote Sensing ◽  
Fugitive Dust ◽  
Dust Emissions
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