Effects of the leaf functional traits of coniferous and broadleaved trees in subtropical monsoon regions on PM2.5 dry deposition velocities

Zhang, Xuyi; Lyu, Junyao; Han, Yanling; Sun, Ning; Sun, Wen; Li, Jinman; Liu, Chunjiang; Yin, Shan

doi:10.1016/j.envpol.2020.114845

Cited by 49 publications

(12 citation statements)

References 63 publications

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“…A popular explanation is that vegetation can effectively reduce the number of PM 2.5 sources by fixing the soil. At the same time, new findings verify that larger leaf area, branch, and stem surface enhance the efficiency of intercepting or capturing PM 2.5 in the subtropical broad-leaved or coniferous and broad-leaved mixed forest, thereby inhibiting effectively the concentrations of PM 2.5 in the air (Liu et al, 2014 ; Zhang et al, 2020 ).…”

Section: Discussionmentioning

confidence: 75%

Understanding the distribution and drivers of PM2.5 concentrations in the Yangtze River Delta from 2015 to 2020 using Random Forest Regression

Su¹,

Lin

Chen³

et al. 2022

Environ Monit Assess

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Understanding the drivers of PM 2.5 is critical for the establishment of PM 2.5 prediction models and the prevention and control of regional air pollution. In this study, the Yangtze River Delta is taken as the research object. Spatial cluster and outlier method was used to analyze the temporal and spatial distribution and variation of surface PM 2.5 in the Yangtze River Delta from 2015 to 2020, and Random Forest was utilized to analyze the drivers of PM 2.5 in this area. The results indicated that (1) based on the spatial cluster distribution of PM 2.5 , the northwest and north of Yangtze River Delta region were mostly highly concentrated and surrounded by high concentrations of PM 2.5 , while lowly concentrated and surrounded by low concentrations areas were distributed in the southern; (2) the relationship between PM 2.5 concentrations and drivers in the Yangtze River Delta was modeled well and the explanatory rate of drivers to PM 2.5 were more than 0.9; (3) temperature, precipitation, and wind speed were the main driving forces of PM 2.5 emission in the Yangtze River Delta. It should be noted that the repercussion of wildfire on PM 2.5 was gradually prominent. When formulating air pollution control measures, the local government normally considers the impact of weather and traffic conditions. In order to reduce PM 2.5 pollution caused by biomass combustion, the influence of wildfire should also be taken into account, especially in the fire season. Meanwhile, high leaf area was conducive to improving air quality, and the increasing green area will help reduce air pollutants. Supplementary information The online version contains supplementary material available at 10.1007/s10661-022-09934-5.

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Section: Discussionmentioning

confidence: 75%

Understanding the distribution and drivers of PM2.5 concentrations in the Yangtze River Delta from 2015 to 2020 using Random Forest Regression

Su¹,

Lin

Chen³

et al. 2022

Environ Monit Assess

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“…Furthermore, when compared to leaves without trichomes, the boundary layer resistance of leaves with trichomes is lower, which will enhance PM uptake [22,70]. Particulate matter adsorption is significantly affected by epicuticular waxes [71,72]. Their chemical composition and structure may influence PM accumulation and immobilization [16].…”

Section: Discussionmentioning

confidence: 99%

Particulate Matter (PM) Adsorption and Leaf Characteristics of Ornamental Sweet Potato (Ipomoea batatas L.) Cultivars and Two Common Indoor Plants (Hedera helix L. and Epipremnum aureum Lindl. & Andre)

et al. 2021

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Particulate matter (PM) is a serious threat to human health, climate, and ecosystems. Furthermore, owing to the combined influence of indoor and outdoor particles, indoor PM can pose a greater threat than urban PM. Plants can help to reduce PM pollution by acting as biofilters. Plants with different leaf characteristics have varying capacities to capture PM. However, the PM mitigation effects of plants and their primary factors are unclear. In this study, we investigated the PM adsorption and leaf characteristics of five ornamental sweet potato (Ipomea batatas L.) cultivars and two common indoor plants (Hedera helix L. and Epipremnum aureum Lindl. & Andre) exposed to approximately 300 μg m−3 of fly ash particles to assess the factors influencing PM adsorption on leaves and to understand the effects of PM pollution on the leaf characteristics of plants. We analyzed the correlation between PM adsorption and photosynthetic rate (Pn), stomatal conductance (gs), transpiration rate (Tr), leaf area (LA), leaf width/length ratio (W/L), stomatal density (SD), and stomatal pore size (SP). A Pearson’s correlation analysis and a principal component analysis (PCA) were used to evaluate the effects of different leaf characteristics on PM adsorption. The analysis indicated that leaf gas exchange factors, such as Pn and Tr, and morphological factors, such as W/L and LA, were the primary parameters influencing PM adsorption in all cultivars and species tested. Pn, Tr, and W/L showed a positive correlation with PM accumulation, whereas LA was negatively correlated.

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“…Indeed, this relationship was apparently conditioned by the PM pollution degree of the study area. In this regard, researchers reported that the morphological parameters based on leaf area were the most significant during the study of PM interception capacity (dry deposition rate) [17].…”

Section: Leaf Morphology Influencementioning

confidence: 99%

“…Thus, it is necessary to investigate under what circumstances and at what scale the vegetation can capture the greatest amount of PM to improve urban air quality, and under what circumstances the vegetation does not have or even has a negative effect on air quality [8,16]. The specific tree characteristics such as plant structure, plant height, leaf surface, leaf area index, and leaf microstructure are important [17,18]. Similarly, climate parameters such as rainfall, wind speed, turbulence, and air humidity are significant factors to consider, which interact with the accumulation capacity of PM on the leaves [19].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Particulate Matter Concentration Intercepted by Trees of a Latin-American Megacity

Zafra-Mejía

Suárez

Quintana

2021

Forests

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Urban areas with trees provide several ecosystem services to citizens. There is a growing interest in ecosystem services for the removal of air pollutants such as particulate matter. The objective of this paper is to show a study on the variation of intercepted particulate matter concentration (IPMC) by tree leaves in the megacity of Bogotá (Colombia). The relationship between IPMC and PM2.5 concentrations observed in air quality stations in two urban zones with different air pollutions was studied. Influences of climate and leaf morphology variables on IPMC were also analyzed. The species under study were Ligustrum-lucidum, Eucalyptus-ficifolia, Tecoma-stans, Callistemon-citrinus, Lafoensia-acuminata, and Quercus-humboldtii. The results showed that leaf IPMC decreased as the PM2.5 concentration increased. Species that best described this trend were Ligustrum-lucidum and Lafoensia-acuminata. These two species also showed the largest IPMC in their leaves. Indeed, species that showed the largest leaf area were those with the highest IPMC. On average, it was observed that for each 5.0 µg/m3 increase in PM2.5 concentration the IPMCs of the species Ligustrum-lucidum and Lafoensia-acuminata decreased by 33.6% and 23.1%, respectively. When wind speed increased, there was also an increase in PM2.5 concentrations and a reduction in the leaf IPMCs.

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Effects of the leaf functional traits of coniferous and broadleaved trees in subtropical monsoon regions on PM2.5 dry deposition velocities

Cited by 49 publications

References 63 publications

Understanding the distribution and drivers of PM2.5 concentrations in the Yangtze River Delta from 2015 to 2020 using Random Forest Regression

Understanding the distribution and drivers of PM2.5 concentrations in the Yangtze River Delta from 2015 to 2020 using Random Forest Regression

Particulate Matter (PM) Adsorption and Leaf Characteristics of Ornamental Sweet Potato (Ipomoea batatas L.) Cultivars and Two Common Indoor Plants (Hedera helix L. and Epipremnum aureum Lindl. & Andre)

Analysis of Particulate Matter Concentration Intercepted by Trees of a Latin-American Megacity

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