An overview of particulate dry deposition: measuring methods, deposition velocity and controlling factors

Mohan, S.

doi:10.1007/s13762-015-0898-7

Cited by 88 publications

(22 citation statements)

References 61 publications

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“…Sensitive to ambient environmental factors, such as light and water status, the stomas can open to different extent, and thus lead to different rates of transpiration which in turn alters relative humidity. Given that relative humidity influences dry deposition velocity, foliar accumulation of PM 2.5 capture could be impacted 66 . Although the particles have been observed to enter the leaf through stomatal openings 67 , the frequency to which this occurs is unknown.…”

Section: Discussionmentioning

confidence: 99%

Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2.5)

Chen

Liu

Lü

et al. 2017

Sci Rep

224

149

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Human health risks caused by PM2.5 raise awareness to the role of trees as bio-filters of urban air pollution, but not all species are equally capable of filtering the air. The objectives of this current study were: (1) to determine the foliar traits for effective PM2.5-capture and (2) explore species-to-species differences in foliar PM2.5-recapture capacity following a rain event. The study concluded that overall, the acicular needle shape made conifers more efficient with PM2.5 accumulation and post-rainfall recapture than broadleaved species. The foliar shape and venation of broadleaved species did not appear to influence the PM2.5 accumulation. However, the number of the grooves and trichomes of broadleaved species were positively related to foliar PM2.5 accumulation, suggesting that they could be used as indicators for the effectiveness of tree PM2.5 capture. Furthermore, the amount of PM2.5 removal by rainfall was determined by the total foliar PM2.5. Not all PM2.5 remained on the foliage. In some species, PM2.5 was resuspended during the growing season, and thus reduced the net particular accumulation for that species. These findings contribute to a better understanding of tree species potential for reducing PM2.5 in urban environments.

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Section: Discussionmentioning

confidence: 99%

Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2.5)

Chen

Liu

Lü

et al. 2017

Sci Rep

224

149

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“…At monitoring sites for atmospheric deposition studies, wet deposition is typically monitored through the collection of precipitation and subsequent laboratory analysis of precipitation composition (Amodio et al, 2014). Directly measuring dry deposition is expensive and technically challenging (Mohan, 2016;Wright et al, 2016); thus, ambient concentrations of pollutants of interest are measured for subsequent dry deposition estimation using the inferential method (e.g., Ban et al, 2016;Baumgardner et al, 2002;Flechard et al, 2011;Zhang et al, 2016). However, in chemical transport models (CTMs), both dry and wet deposition processes are parameterized and are mostly semiempirical or empirical algorithms (Gong et al, 2011;Pleim & Ran, 2011;Vivanco et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…However, dry deposition estimates for these species still have large uncertainties due to the many chemical, biological, and meteorological factors affecting dry deposition processes. Uncertainties for other chemical species are even larger (Fowler et al, 2009;Hicks et al, 2016;Mohan, 2016;Wesely & Hicks, 2000;Wright et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Intercomparison of Five North American Dry Deposition Algorithms at a Mixed Forest Site

Schwede

Vet

et al. 2018

J Adv Model Earth Syst

110

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To quantify differences between dry deposition algorithms commonly used in North America, five models were selected to calculate dry deposition velocity (V d ) for O 3 and SO 2 over a temperate mixed forest in southern Ontario, Canada, where a 5-year flux database had previously been developed. The models performed better in summer than in winter with correlation coefficients for hourly V d between models and measurements being approximately 0.6 and 0.3, respectively. Differences in mean V d values between models were on the order of a factor of 2 in both summer and winter. All models produced lower V d values than the measurements of O 3 in summer and SO 2 in summer and winter, although the measured V d may be biased. There was not a consistent tendency in the models to overpredict or underpredict for O 3 in winter. Several models produced magnitudes of the diel variation of V d (O 3 ) comparable to the measurements, while all models produced slightly smaller diel variations than the measurements of V d (SO 2 ) in summer. A few models produced larger diel variations than the measurements of V d for O 3 and SO 2 in winter. Model differences were mainly due to different surface resistance parameterizations for stomatal and nonstomatal uptake pathways, while differences in aerodynamic and quasi-laminar resistances played only a minor role. It is recommended to use ensemble modeling results for ecosystem impact assessment studies, which provides mean values of all the used models and thus can avoid too much overestimations or underestimations.

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“…Previous reports indicate detection in the air (Schlichting, 1969) and in precipitation (Cáliz et al, 2018). Trebouxiophyceae is also found in seawater (Tragin and Vaulot, 2018) and might therefore also be dispersed in the form of sea spray from aqueous ecosystems (Tesson et al, 2016;Mayol et al, 2014). Cáliz et al (2018) reported enrichment in rainfall at sample sites where aerosols of marine origin were dominant.…”

Section: Discussionmentioning

confidence: 93%

Plant assemblages in atmospheric deposition

Woo

Yamamoto

2019

Atmos. Chem. Phys.

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Abstract. Plants disperse spores, pollen, and fragments into the atmosphere. The emitted plant particles return to the pedosphere by sedimentation (dry deposition) and/or by precipitation (wet deposition) and constitute part of the global cycle of substances. However, little is known regarding the taxonomic diversities and flux densities of plant particles deposited from the atmosphere. Here, plant assemblages were examined in atmospheric deposits collected in Seoul in South Korea. A custom-made automatic sampler was used to collect dry and wet deposition samples for which plant assemblages and quantities were determined using high-throughput sequencing and quantitative polymerase chain reaction (PCR) with universal plant-specific primers targeting the internal transcribed spacer 2 (ITS2) region. Dry deposition was dominant for atmospheric deposition of plant particles (87 %). The remaining 13 % was deposited by precipitation, i.e., wet deposition, via rainout (in-cloud scavenging) and/or washout (below-cloud scavenging). Plant assemblage structures did not differ significantly between dry and wet deposition, indicating a possibility that washout, which is possibly taxon-independent, predominated rainout, which is possibly taxon-dependent, for wet deposition of atmospheric plant particles. A small number of plant genera were detected only in wet deposition, indicating that they might be specifically involved in precipitation through acting as nucleation sites in the atmosphere. Future interannual monitoring will control for the seasonality of atmospheric plant assemblages observed at our sampling site. Future global monitoring is also proposed to investigate geographical differences and investigate whether endemic species are involved in plant-mediated bioprecipitation in regional ecological systems.

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An overview of particulate dry deposition: measuring methods, deposition velocity and controlling factors

Cited by 88 publications

References 61 publications

Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2.5)

Variation in Tree Species Ability to Capture and Retain Airborne Fine Particulate Matter (PM2.5)

Evaluation and Intercomparison of Five North American Dry Deposition Algorithms at a Mixed Forest Site

Plant assemblages in atmospheric deposition

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