Lastly, geological PM2.5 (modeled based on paved road dust samples using iron, calcium and silica as fitting species) was represented by a fifth factor.
Finally, geological PM2.5 (modeled based on paved road dust samples using iron, calcium, and silica as fitting species) was best represented as a separate fifth factor.
Although the geological source profile used in the CMB model was based on paved road dust, the association with this PM2.5 source further underscores the importance of traffic (i.e., roadways indicator).
R software [ 46] was used to assign values to roads based on difficulty of travel (paved or unpaved roads).
Based on the land cover type (paved or vegetation) and the availability of data as shown by the overlapping TLS point clouds, the target area for the analysis (2188 m2) was defined on the paved ground surface (Fig. 3a).
To evaluate this hypothesis we simulated settlement dynamics using a Monte Carlo based model of Settlement Dynamics in Drylands (SeDD), which calculates probabilities on a gridded region based on six environmental factors: groundwater depth, vegetation type, proximity to rivers, paved road, old river beds, and existing settlements.
Evaluating roadways (or roadway designs) based on this model will enable stakeholders to identify those roadway segments where a paved shoulder would prove an effective safety countermeasure.
We combined road classes into two categories based on traffic-levels (L.M. Conner, Joseph W. Jones Ecological Research Center, personal observation): (1) primary roads (county and primary; paved or sand/dirt roads); and (2) secondary roads (firebreaks).
Appropriately, walking paved the way to "Esplanade" (1975), Mr. Taylor's masterwork set to Bach and based on everyday movement: walking, running, jumping and sliding.
Monthly average PM2.5 concentrations (μg/m) from the following sources were quantified based on the CMB model: diesel exhaust, gasoline exhaust, ammonium nitrate, ammonium sulfate, biomass burning, cooking operations, sea salt, geological (paved road dust), and residual oil burning.
Monthly average PM2.5 concentrations (micrograms per cubic meter) from the following sources were quantified based on the CMB model: diesel exhaust, gasoline exhaust, ammonium nitrate, ammonium sulfate, biomass burning, cooking operations, sea salt, geological (paved road dust), and residual oil burning.
