2018
DOI: 10.1016/j.atmosenv.2018.02.038
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A new approach for modeling dry deposition velocity of particles

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Cited by 73 publications
(47 citation statements)
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“…Numerous review articles and technical papers have discussed the dry deposition process, including deposition schemes used in modelling systems, as well as methods used to describe or define deposition, deposition velocity and deposited amount 29,48,79,80 . Significant points regarding the influences of GI on dry deposition are summarised in Supplementary Section S1; the key message is that the influence of plant variation on deposition is largely determined by related variation in plant macromorphology and in the range of traits (including leaf physiology and micromorphology) that contribute toward surface resistance (Supplementary Section S1).…”
Section: Advantageous Aspects Of Gi For Air Qualitymentioning
confidence: 99%
“…Numerous review articles and technical papers have discussed the dry deposition process, including deposition schemes used in modelling systems, as well as methods used to describe or define deposition, deposition velocity and deposited amount 29,48,79,80 . Significant points regarding the influences of GI on dry deposition are summarised in Supplementary Section S1; the key message is that the influence of plant variation on deposition is largely determined by related variation in plant macromorphology and in the range of traits (including leaf physiology and micromorphology) that contribute toward surface resistance (Supplementary Section S1).…”
Section: Advantageous Aspects Of Gi For Air Qualitymentioning
confidence: 99%
“…Methods include mass subtraction [28,29], membrane filters [30][31][32][33][34], and elution weighing coupled with particle size analysis by electron microscopy [35][36][37][38][39][40], along with other direct measuring methods with aerosol instruments [41][42][43]. These studies largely analyze the deposition rate of PM on leaves [44,45], as well as changes in retention duration of different PM sizes on leaf surfaces [46]. Numerical simulations generally quantitatively analyze aerodynamic and deposition effects of vegetation on PM dispersion in built environments [47][48][49][50][51][52][53][54][55][56], or investigate the influences of outdoor PM diffusion into indoor spaces by constructing three dimensional models [57,58].…”
Section: Introductionmentioning
confidence: 99%
“…It can be concluded that the models including the qualitative variables showed very good fit qualities, being difficult to make a clear distinction among them based on their performance (that is, R 2 > 0.91 in all the cases). Anyway, those models including the environmental variables (i.e., models (11), (13), (15) and (17)) exhibited the best fits (with R 2 > 0.94) in comparison with models (7) and (9).…”
Section: Global Modementioning
confidence: 98%
“…In particular, the damage caused by atmospheric corrosion accounts for more than half of the total cost caused by the corrosion phenomena [1,3,4]. Metals are consumed by electrochemical reactions which rates depend on the exposure time (TEXP) but the phenomenon itself is very complex since is also highly dependent on numerous damage factors [4][5][6][7], each of which are extremely variable. These factors include natural air pollutants and anthropogenic sources [4,5], mainly sulfur dioxide (SO 2 ), salinity (chlorides, CL) and other pollutants, such as 'particulate matter' or 'PM', as well as climatic factors such as relative humidity, time of wetness (TOW), temperature, rainfall and wind speed, but also physical characteristics such as shape and type of metal (ferrous or non-ferrous) [4,8], exposure angle [9,10], orientation [8][9][10][11][12] and geographic location [4].…”
Section: Introductionmentioning
confidence: 99%