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评价植物的空气污染耐性指数和预期性能指数及其在城市绿地开发中的应用。

Evaluation of air pollution tolerance index and anticipated performance index of plants and their application in development of green space along the urban areas.

机构信息

Department of Botanical and Environmental Sciences, Guru Nanak Dev University Amritsar, Amritsar, Punjab, 143005, India.

出版信息

Environ Sci Pollut Res Int. 2017 Aug;24(23):18881-18895. doi: 10.1007/s11356-017-9500-9. Epub 2017 Jun 26.

DOI:10.1007/s11356-017-9500-9
PMID:28653199
Abstract

Air pollution due to vehicular emissions has become one of the most serious problems in the whole world and has resulted in huge threat to both the environment and the health of living organisms (plants, humans, animals, microorganisms). Plants growing along the roadsides get affected at the maximum as they are the primary recipients to different air pollutants and show varied levels of tolerance and sensitivity. Taking this into account, the present work was based on assessment of seasonal variation in air pollution tolerance index (APTI) and anticipated performance index (API) of four roadside plants, namely, Alstonia scholaris, Nerium oleander, Tabernaemontana coronaria, and Thevetia peruviana belonging to family Apocynaceae. APTI was calculated by the determination of four important biochemical parameters, viz., pH, relative water content (RWC), total chlorophyll (TChl), and ascorbic acid (AsA) content of leaves. The leaf samples were collected from plants growing at seven different sites of Amritsar (Punjab), India, for pre-monsoon and post-monsoon seasons. Highest APTI (82.14) was reported in N. oleander during the pre-monsoon season while the lowest was recorded in T. coronaria (18.59) in the post-monsoon season. On the basis of API score, A. scholaris was anticipated to be an excellent performer during the pre-monsoon and post-monsoon seasons followed by N. oleander, T. coronaria, and T. peruviana. Linear regression analysis and Pearson's correlation coefficient depicted significant positive correlation between APTI and ascorbic acid content during the pre-monsoon and post-monsoon seasons.

摘要

由于车辆排放而导致的空气污染已成为全球最严重的问题之一,对环境和生物(植物、人类、动物、微生物)的健康造成了巨大威胁。路边生长的植物受到的影响最大,因为它们是接收不同空气污染物的主要受体,并表现出不同程度的耐受性和敏感性。考虑到这一点,本研究基于评估四种路边植物(夹竹桃科的阿斯顿学者、夹竹桃、冠状桐和秘鲁桐)的空气污染耐受指数(APTI)和预期表现指数(API)的季节性变化。APTI 通过测定叶片的四个重要生化参数来计算,即 pH 值、相对水分含量(RWC)、总叶绿素(TChl)和抗坏血酸(AsA)含量。叶片样本取自印度旁遮普邦阿姆利则的七个不同地点的植物,分别在季风前和季风后季节采集。在季风前季节,夹竹桃的 APTI 最高(82.14),而在季风后季节,冠状桐的 APTI 最低(18.59)。根据 API 得分,阿斯顿学者在季风前和季风后季节都被预计为表现出色,其次是夹竹桃、冠状桐和秘鲁桐。线性回归分析和皮尔逊相关系数表明,在季风前和季风后季节,APTI 与抗坏血酸含量之间存在显著的正相关关系。

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