城市环境中不同树种空气污染耐受性及预期性能指标的综合分析

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Mohan Prasanthrajan, Maisnam Sushima Devi, Joseph Ezra John, Kanagaraj Blessy Monica, Chandan Sahu, Chidambaram Poornachandhra, Kalappan Thangamuthu Parthiban, Raja Mani Jayabalakrishnan, Sradhanjali Basti
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引用次数: 0

摘要

本文研究了生长在哥印拜陀市污染和未污染地区的38种树种的空气污染耐受指数(APTI)和预期性能指数(API),以确定它们对空气污染的耐受性。首先对APTI进行了为期两年的综合评估,考虑了相对含水量、叶提取物pH、抗坏血酸和总叶绿素等生理因素的变化。此外,基于耐受性(APTI)、生物学参数(树木习性、树冠结构、树种类型)、形态层流结构(叶片大小、质地、抗寒性)和社会经济因素(多种用途)等不同特征,利用API对38种树种的抗空气污染性能进行评价。APTI和API的结合成为确定城市绿色努力的正确物种的关键方法。从本研究结果来看,榕(Ficus religiosa) (APTI 29.19)、长叶莲(Polyalthia longifolia) (APTI 25.81)、细叶莲(Pithecellobium dulce) (APTI 18.91)、沙曼(Samanea saman) (APTI 17.83)和红木(Thespesia populnea) (APTI 17.15)是空气污染区内最适合种植的树种。同样,对空气污染的耐受性也表现出显著的差异,其中,刺毛猴、柽柳、刺木和山楂的API得分为81.25%,印楝、雪桐、无花果和芒果的API得分为75%。最后,通过扫描电子显微镜(SEM)观察到榕、长叶蓼、细叶松、沙曼和白杨等树种叶片的微观形态特征,证实了这些树种具有较高的颗粒物滞留能力,是空气污染区的理想树种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comprehensive analysis of air pollution tolerance and anticipated performance indices of different tree species growing in urban environment

Comprehensive analysis of air pollution tolerance and anticipated performance indices of different tree species growing in urban environment

This study deals with the Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API) of thirty eight tree species growing in polluted and unpolluted areas of Coimbatore city to identify their tolerance against air pollution. A comprehensive assessment on APTI was carried out at first over two years, considering the changes in physiological factors like relative water content, leaf extract pH, ascorbic acid, and total chlorophyll. Furthermore, API of these 38 tree species was employed to assess their performance against air pollution based on diverse characteristics like tolerance (APTI), biological parameters (tree habit, canopy structure, type of tree), morphological laminar structure (leaf size, texture, hardiness), and socioeconomic factors (multiple uses). The combination of APTI and API emerges as a pivotal approach for identifying the right species for urban green endeavors. From the present study, Ficus religiosa (APTI 29.19), Polyalthia longifolia (APTI 25.81), Pithecellobium dulce (APTI 18.91), Samanea saman (APTI 17.83) and Thespesia populnea (APTI 17.15) are the best suited tree species for planting in an air pollution zone as these trees poses high APTI values. Similarly, plant species with API scores as 81.25% for Pithecellobium dulce, Tamarindus indica, Terminalia catappa and Thespesia populnea while as 75% for Azadirachta indica, Alstonia scholaris, Ficus religiosa and Mangifera indica displayed notable tolerance to air pollution. Finally, micro morphological features of Ficus religiosa, Polyalthia longifolia, Pithecellobium dulce, Samanea saman and Thespesia populnea leaves observed through Scanning Electron Microscope (SEM) confirm that these tree species poses high particulate matters retention capacity which make them desirable for air pollution zone.

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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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