{"title":"Identification of urban street trees for green belt development for optimizing pollution mitigation in Delhi, India","authors":"Shilky, Ratul Baishya, Purabi Saikia","doi":"10.1007/s11356-024-34802-9","DOIUrl":null,"url":null,"abstract":"<div><p>The current study evaluated the effects of air pollution on selected street trees in the National Capital Territory during the pre- and post-monsoon seasons to identify the optimally suitable tree for green belt development in Delhi. The identification was performed by measuring the air pollution tolerance index (APTI), anticipated performance index (API), dust-capturing capacity (DCC) and proline content on the trees. The APTI of street trees of Delhi varied significantly among different tree species (<i>F</i><sub>11,88.91</sub> = 47.18, <i>p</i> < 0.05), experimental sites (<i>F</i><sub>3,12.52</sub> = 6.65, <i>p</i> < 0.001) and between seasons (<i>F</i><sub>1,31.12</sub> = 16.51, <i>p</i> < 0.001), emphasizing the relationships between trees and other types of variables such as the climate and level of pollution, among other factors. This variability emphasizes the need to choose trees to use for urban greening in the improvement of air quality in different environments within cities. Ascorbic acid (AA) concentration and relative water content (RWC) had a strong influence on APTI with an extremely significant moderate positive correlation between AA concentration and APTI (<i>r</i> = 0.65, <i>p</i> < 0.001) along with RWC and APTI (<i>r</i> = 0.52, <i>p</i> < 0.001), indicating that higher levels of AA concentration and RWC are linked to increased air pollution tolerance. The PCA bi-plot indicates AA has poor positive loading coefficients with PC1 explaining 29.49% of the total variance in the dataset. The highest APTI was recorded in <i>Azadirachta indica</i> (22.01), <i>Leucaena leucocephala</i> (20.65), <i>Morus alba</i> (20.62), <i>Ficus religiosa</i> (20.61) and <i>Ficus benghalensis</i> (19.61), irrespective of sites and seasons. Similarly, based on API grading, <i>F. religiosa</i> and <i>F. benghalensis</i> were identified as excellent API grade 6 (81–90%), <i>A. indica</i> and <i>Alstonia scholaris</i> as very good API grade 5 (71–80%), <i>M. alba</i>, <i>Pongamia pinnata</i> and <i>Monoon longifolium</i> as good API grade 4 (61–70%) and <i>Plumeria alba</i> as moderate API grade 3 (51–60%) in different streets of Delhi. As these plants are indigenous to the region and hold significant socio-economic and aesthetic significance in Indian societies, they are advisable for avenue plantations as part of various government initiatives to support environmental sustainability.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":null,"pages":null},"PeriodicalIF":5.8000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11356-024-34802-9","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The current study evaluated the effects of air pollution on selected street trees in the National Capital Territory during the pre- and post-monsoon seasons to identify the optimally suitable tree for green belt development in Delhi. The identification was performed by measuring the air pollution tolerance index (APTI), anticipated performance index (API), dust-capturing capacity (DCC) and proline content on the trees. The APTI of street trees of Delhi varied significantly among different tree species (F11,88.91 = 47.18, p < 0.05), experimental sites (F3,12.52 = 6.65, p < 0.001) and between seasons (F1,31.12 = 16.51, p < 0.001), emphasizing the relationships between trees and other types of variables such as the climate and level of pollution, among other factors. This variability emphasizes the need to choose trees to use for urban greening in the improvement of air quality in different environments within cities. Ascorbic acid (AA) concentration and relative water content (RWC) had a strong influence on APTI with an extremely significant moderate positive correlation between AA concentration and APTI (r = 0.65, p < 0.001) along with RWC and APTI (r = 0.52, p < 0.001), indicating that higher levels of AA concentration and RWC are linked to increased air pollution tolerance. The PCA bi-plot indicates AA has poor positive loading coefficients with PC1 explaining 29.49% of the total variance in the dataset. The highest APTI was recorded in Azadirachta indica (22.01), Leucaena leucocephala (20.65), Morus alba (20.62), Ficus religiosa (20.61) and Ficus benghalensis (19.61), irrespective of sites and seasons. Similarly, based on API grading, F. religiosa and F. benghalensis were identified as excellent API grade 6 (81–90%), A. indica and Alstonia scholaris as very good API grade 5 (71–80%), M. alba, Pongamia pinnata and Monoon longifolium as good API grade 4 (61–70%) and Plumeria alba as moderate API grade 3 (51–60%) in different streets of Delhi. As these plants are indigenous to the region and hold significant socio-economic and aesthetic significance in Indian societies, they are advisable for avenue plantations as part of various government initiatives to support environmental sustainability.
本研究评估了空气污染在季风前后季节对国家首都直辖区选定行道树的影响,以确定最适合德里绿化带发展的树木。鉴定是通过测量树木的空气污染耐受指数(APTI)、预期性能指数(API)、灰尘捕捉能力(DCC)和脯氨酸含量来进行的。德里行道树的空气污染耐受指数在不同树种之间存在显著差异(F11,88.91 = 47.18, p 3,12.52 = 6.65, p 1,31.12 = 16.51, p
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