• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

北京路边 15 种植物叶片表面和内蜡上的灰尘大小分数和相关金属含量。

Size fractions of dust and amount of associated metals on leaf surface and inner wax of 15 plant species at Beijing roadside.

机构信息

a Beijing Milu Ecological Research Center , Beijing , China.

b School of Geography, Earth and Environmental Sciences , University of Birmingham , Edgbaston , Birmingham , UK.

出版信息

Int J Phytoremediation. 2019;21(4):334-351. doi: 10.1080/15226514.2018.1524834. Epub 2019 Jan 16.

DOI:10.1080/15226514.2018.1524834
PMID:30648399
Abstract

To provide more insight into the removal ability of urban air dust and associated metals by plant leaves, and thus guide urban green planning to improve air quality, 15 plant species leaves collected from Beijing roadside were analyzed for size fractions of leaf surface dust (SD) and inner wax dust (WD). Seven associated metals Cd, Cr, Cu, Fe, Mn, Pb and Zn were also measured. Metal Accumulation Index (MAI) was calculated for different species leaves at various dust sizes and soluble forms, respectively. Cluster analysis was used for the plant species and correlations between dust and metal concentrations and for inter-metal concentrations were calculated for both surface and inner wax dust. Mean leaf total dust TD (SD + WD), SD and WD were measured as 1159, 817 and 342 mg m, respectively, with the highest values observed all in Euonymus japonicus. Most species leaves collected larger ratios of SD than WD except Salix babylonica and Robinia pseudoacacia. While SD was presented at all particle size fractions for all plants, nearly all species leaves collected higher proportions of WD >10 µm. Mean metal levels of leaf TD of all species ranged from high to low as Fe > Cr > Zn > Pb > Cu > Mn > Cd, but with different orders for individual species. Metals were observed in all sizes of SD/WD, although the size distributions were various for certain metals. Intercorrelations of metal concentrations in leaf SD/WD were positively significant except Pb, which may have different emission sources. Species Prunus cerasifera f. atropurpurea, Syringa oblata, Malus micromalu, Koelreuteria paniculata and Robinia pseudoacacia may possess better overall metal collection ability due to their relatively higher MAI values, but species Euonymus japonicus, Malus micromalu, Ligustrum x vicaryi and Koelreuteria paniculata were identified as the best choices in removing air dust based on cluster analysis and suggested to be planted at heavy trafficked road site for air quality improvement.

摘要

为了更深入地了解植物叶片对城市灰尘及相关金属的去除能力,从而指导城市绿化规划以改善空气质量,本研究分析了采集自北京路边的 15 种植物叶片的表面灰尘(SD)和内蜡灰尘(WD)的大小分数。还测量了 7 种相关金属 Cd、Cr、Cu、Fe、Mn、Pb 和 Zn。分别计算了不同物种叶片在不同灰尘大小和可溶性形态下的金属积累指数(MAI)。采用聚类分析对植物物种进行了分类,并计算了灰尘和金属浓度之间的相关性,以及表面和内蜡灰尘中各金属之间的浓度相关性。叶片总灰尘(TD)(SD+WD)、SD 和 WD 的平均值分别为 1159、817 和 342mg m,Euonymus japonicus 的值最高。除了柳树(Salix babylonica)和刺槐(Robinia pseudoacacia)外,大多数采集的植物叶片的 SD 比例都大于 WD。虽然所有植物的 SD 都存在于所有颗粒大小的分数中,但几乎所有采集的植物叶片都收集到更高比例的 WD>10µm。所有植物叶片 TD 的金属平均水平从高到低依次为 Fe>Cr>Zn>Pb>Cu>Mn>Cd,但对于个别物种则有不同的顺序。金属在 SD/WD 的所有大小中都有观察到,尽管某些金属的大小分布有所不同。叶片 SD/WD 中的金属浓度之间的相关性除 Pb 外均呈显著正相关,Pb 可能具有不同的排放源。由于其相对较高的 MAI 值,Prunus cerasifera f. atropurpurea、Syringa oblata、Malus micromalu、Koelreuteria paniculata 和 Robinia pseudoacacia 等物种可能具有更好的整体金属收集能力,但基于聚类分析,Euonymus japonicus、Malus micromalu、Ligustrum x vicaryi 和 Koelreuteria paniculata 等物种被鉴定为去除空气灰尘的最佳选择,并建议在交通繁忙的道路站点种植,以改善空气质量。

相似文献

1
Size fractions of dust and amount of associated metals on leaf surface and inner wax of 15 plant species at Beijing roadside.北京路边 15 种植物叶片表面和内蜡上的灰尘大小分数和相关金属含量。
Int J Phytoremediation. 2019;21(4):334-351. doi: 10.1080/15226514.2018.1524834. Epub 2019 Jan 16.
2
Biomagnetic monitoring of heavy metals contamination in deposited atmospheric dust, a case study from Isfahan, Iran.沉积大气尘埃中重金属污染的生物磁监测——以伊朗伊斯法罕为例
J Environ Manage. 2016 May 15;173:55-64. doi: 10.1016/j.jenvman.2016.02.035. Epub 2016 Mar 11.
3
Foliar dust and heavy metal deposit on leaves of urban trees in Budapest (Hungary).布达佩斯(匈牙利)城市树木叶片上的叶面灰尘和重金属沉积。
Environ Geochem Health. 2021 May;43(5):1927-1940. doi: 10.1007/s10653-020-00769-y. Epub 2020 Nov 13.
4
[Beijing common green tree leaves' accumulation capacity for heavy metals].[北京常见绿叶对重金属的累积能力]
Huan Jing Ke Xue. 2014 May;35(5):1891-900.
5
[Atmospheric Particle Retaining Function of Common Deciduous Tree Species Leaves in Beijing].[北京常见落叶树种叶片对大气颗粒物的滞留作用]
Huan Jing Ke Xue. 2015 Jun;36(6):2005-9.
6
Particulate matter and heavy metal deposition on the leaves of Euonymus japonicus during the East Asian monsoon in Beijing, China.中国北京东亚季风期间,颗粒物和重金属在冬青卫矛叶片上的沉积。
PLoS One. 2017 Jun 29;12(6):e0179840. doi: 10.1371/journal.pone.0179840. eCollection 2017.
7
Bioaccessibility and size distribution of metals in road dust and roadside soils along a peri-urban transect.道路灰尘和路边土壤中金属的生物可给性和粒径分布沿城市周边的一个横断带。
Sci Total Environ. 2017 Dec 1;601-602:89-98. doi: 10.1016/j.scitotenv.2017.05.180. Epub 2017 May 24.
8
Influence of Road Proximity on the Concentrations of Heavy Metals in Korean Urban Agricultural Soils and Crops.道路 proximity 对韩国城市农业土壤和作物中重金属浓度的影响。 (注:proximity 常见释义为“接近;临近” ,在这里直译为“proximity”,可能表述不太准确,完整准确表述或许是“道路临近程度对……的影响” ,但按要求不添加说明,故保留原文形式。 )
Arch Environ Contam Toxicol. 2017 Feb;72(2):260-268. doi: 10.1007/s00244-016-0344-y. Epub 2016 Dec 20.
9
Differences in quantity and composition of leaf particulate matter and morphological structures in three evergreen trees and their association in Harbin, China.三种常绿树木叶片颗粒物数量和组成及形态结构的差异及其在中国哈尔滨的相关性。
Environ Pollut. 2019 Sep;252(Pt B):1772-1790. doi: 10.1016/j.envpol.2019.06.124. Epub 2019 Jul 4.
10
Response of dust particle pollution and construction of a leaf dust deposition prediction model based on leaf reflection spectrum characteristics.基于叶片反射光谱特征的粉尘颗粒污染响应及叶面积尘预测模型构建。
Environ Sci Pollut Res Int. 2019 Dec;26(36):36764-36775. doi: 10.1007/s11356-019-06635-4. Epub 2019 Nov 19.

引用本文的文献

1
Particulate matter in the cultivation area may contaminate leafy vegetables with heavy metals above safe levels in Korea.在韩国,种植区的颗粒物可能会使叶类蔬菜受到重金属污染,超过安全水平。
Environ Sci Pollut Res Int. 2019 Sep;26(25):25762-25774. doi: 10.1007/s11356-019-05825-4. Epub 2019 Jul 2.