Analysis of the influencing factors of atmospheric particulate matter accumulation on coniferous species: measurement methods, pollution level, and leaf traits
Analysis of the influencing factors of atmospheric particulate matter accumulation on coniferous species: measurement methods, pollution level, and leaf traits
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大气颗粒物累积对针叶树种的影响因素分析:测量方法、污染程度和叶片性状
DOI:
10.1007/s11356-022-20067-7
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发表时间:
2022-04
影响因子:
5.8
通讯作者:
Liu Xiaowei
中科院分区:
文献类型:
--
作者:
Zhang Zhi;Gong Jialian;Li Yu;Zhang Weikang;Zhang Tong;Meng Huan;Liu Xiaowei
Urban trees, especially their leaves, have the potential to capture atmospheric particulate matter (PM) and improve air quality. However, the amount of PM deposited on leaf surfaces detected by different methods varies greatly, and quantitative understanding of the relationship between PM retention capacity and various microstructures of leaf surfaces is still limited. In this study, three measurement methods, including the leaf washing (LW) method, aerosol regeneration (AR) method, and scanning electron microscopy and energy-dispersive X-ray spectroscopy (SEM–EDX) method, were used to determine the PM retention capacity of leaf surfaces of three coniferous species.Additionally, we analyzed the leaf traits and elemental composition of PM on leaves collected from different sites. The results showed thatPinus tabulaeformisandAbies holophyllawere more efficient species in capturing PM thanJuniperus chinensis, but different measurement methods could affect the detected results of PM accumulation on leaf surfaces. The concentrations of trace elements accumulated on leaf surfaces differed considerably between different sites. The greatest accumulation of elements that occurred on the leaf surface was at the Shenfu Highway site exposed to high PM pollution levels and the smallest accumulation at the Dongling park site. The stomatal density and contact angle were highly correlated with the PM retention capacity of leaf surfaces of the tested species (Pearson coefficient:r= 0.87,p< 0.01 andr= − 0.70,p< 0.05), while the roughness and groove width were not significantly correlated (Pearson coefficient:r= 0.16 andr= − 0.03). This study suggests that a methodological standardization for measuring PM is urgently required and this could contribute to selecting greening tree species with high air purification capacity.Graphical abstract
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DOI:
10.1016/j.scitotenv.2018.10.357
发表时间:
2019-02
期刊:
The Science of the total environment
影响因子:
--
作者:
Lu Tian;Shan Yin;Ying-ge Ma;Hongzhang Kang;Xuyi Zhang;Haoxin Tan;Hengyu Meng;Chunjiang Liu
通讯作者:
Lu Tian;Shan Yin;Ying-ge Ma;Hongzhang Kang;Xuyi Zhang;Haoxin Tan;Hengyu Meng;Chunjiang Liu
影响因子:
8.9
作者:
Xu Haijun;Wang Wenjie;Wang Huimei;Sun Yufeng;Zhong Zhaoliang;Wang Shurui
通讯作者:
Wang Shurui
影响因子:
8.9
作者:
María del Carmen Redondo-Bermúdez;Idris T. Gulenc;R. Cameron;B. Inkson
通讯作者:
María del Carmen Redondo-Bermúdez;Idris T. Gulenc;R. Cameron;B. Inkson
影响因子:
6.9
作者:
Lu, Senlin;Zhang, Rui;Wang, Qingyue
通讯作者:
Wang, Qingyue
DOI:
10.1016/j.scitotenv.2016.01.057
发表时间:
2016-04
期刊:
The Science of the total environment
影响因子:
--
作者:
G. Sgrigna;Chiara Baldacchini;R. Esposito;R. Calandrelli;A. Tiwary;C. Calfapietra
通讯作者:
G. Sgrigna;Chiara Baldacchini;R. Esposito;R. Calandrelli;A. Tiwary;C. Calfapietra