2019
DOI: 10.1016/j.atmosenv.2019.116977
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A very-high resolution (20m) measurement-based dust emissions and dispersion modeling approach for the Oceano Dunes, California

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Cited by 12 publications
(3 citation statements)
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“…For the dispersion of biomass burning emissions, we used the LSPDM developed at the Desert Research Institute [39], which has been previously adapted to receive meteorological fields from WRF [8]. Emissions are generated for all grid cells that present active fires in the VIIRS data using the FRP.…”
Section: Transport Of Biomass Burning Emissionsmentioning
confidence: 99%
“…For the dispersion of biomass burning emissions, we used the LSPDM developed at the Desert Research Institute [39], which has been previously adapted to receive meteorological fields from WRF [8]. Emissions are generated for all grid cells that present active fires in the VIIRS data using the FRP.…”
Section: Transport Of Biomass Burning Emissionsmentioning
confidence: 99%
“…Pollutants emitted from exhaust pipes constitute 7% of traffic pollution. A dozen or so percent are particles worn off of tires and brake pads [43]. Dust materials arise in natural processes (e.g., Aeolian erosion, sandstorm, wood pollen) and anthropogenic ones (e.g., burning of fossil fuels).…”
Section: Road Transport In Polandmentioning
confidence: 99%
“…Most studies that used the PI-SWERL have been focused on studying the dust emission potential of different soil surfaces at various friction velocities in different regions in the world, e.g., the Namib Desert in Namibia (von Holdt et al, 2017), the Tengger and Mu Us Desert in Northern China (Cui et al, 2019), coastal dunes in California, USA (Mejia et al, 2019), the Colorado Plateau in the USA (Fick et al, 2020), Yellow Lake Playa, USA (Sweeney et al, 2016), Athabasca Oil Sands Region in Canada (Wang et al, 2015), and the Mongolian steppe (Munkhtsetseg et al, 2016). Others aimed to compare the dust emission potential of the PI-SWERL to a wind tunnel, for similar friction velocities (Sweeney et al, 2008;Kavouras et al, 2009;King et al, 2011).…”
Section: Introductionmentioning
confidence: 99%