Evaluation of Anticipated Performance Index of Tree Species for Air Pollution Mitigation in Islamabad, Pakistan

IF 0.4 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES Journal of Environmental Science and Management Pub Date : 2020-06-30 DOI:10.47125/jesam/2020_1/06
M. Irshad, R. Nawaz, Sajjad Ahmad, Muhammad Arshad, M. Rizwan, N. Ahmad, M. Nizami, Tanveer Ahmed
{"title":"Evaluation of Anticipated Performance Index of Tree Species for Air Pollution Mitigation in Islamabad, Pakistan","authors":"M. Irshad, R. Nawaz, Sajjad Ahmad, Muhammad Arshad, M. Rizwan, N. Ahmad, M. Nizami, Tanveer Ahmed","doi":"10.47125/jesam/2020_1/06","DOIUrl":null,"url":null,"abstract":"There is ever increasing problem of air pollution in cities due to urbanization, industrialization, population growth and increased number of vehicles. Plants can play a vital role in mitigation of air pollution in urban areas. The present study was conducted to estimate the Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API) for 21 different plant species used for green belt development along the roadsides in Islamabad, the capital city of Pakistan. For APTI and API estimation, ascorbic acid, total chlorophyll content, relative water content and pH of leaf extract of selected plant species were measured using standard methods. The results showed that Syzygium cumini L. (jaman), Pterospermum acerifolium (kanak champa) and Alstonia scholaris (devil tree) were the excellent performers. According to API and APTI values, these species were found effective in reducing air pollution and could be effective for green belt development in urban areas. Albezia lebbeck, Melia azedarach, Eucliptus camaldulensis, Dalbergia sissoo, Tamarindus indica, Acacia nilotica L., Callistemon viminalis and Leucaena leucocephala are very poor performers regarding air and noise abatement. These plants are very poor performers and are very sensitive plants to air pollution. These plants can be used as bio-indicators of poor urban air quality.","PeriodicalId":15657,"journal":{"name":"Journal of Environmental Science and Management","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Science and Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.47125/jesam/2020_1/06","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 7

Abstract

There is ever increasing problem of air pollution in cities due to urbanization, industrialization, population growth and increased number of vehicles. Plants can play a vital role in mitigation of air pollution in urban areas. The present study was conducted to estimate the Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API) for 21 different plant species used for green belt development along the roadsides in Islamabad, the capital city of Pakistan. For APTI and API estimation, ascorbic acid, total chlorophyll content, relative water content and pH of leaf extract of selected plant species were measured using standard methods. The results showed that Syzygium cumini L. (jaman), Pterospermum acerifolium (kanak champa) and Alstonia scholaris (devil tree) were the excellent performers. According to API and APTI values, these species were found effective in reducing air pollution and could be effective for green belt development in urban areas. Albezia lebbeck, Melia azedarach, Eucliptus camaldulensis, Dalbergia sissoo, Tamarindus indica, Acacia nilotica L., Callistemon viminalis and Leucaena leucocephala are very poor performers regarding air and noise abatement. These plants are very poor performers and are very sensitive plants to air pollution. These plants can be used as bio-indicators of poor urban air quality.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
巴基斯坦伊斯兰堡缓解空气污染树种预期性能指数评价
由于城市化、工业化、人口增长和车辆数量的增加,城市的空气污染问题日益严重。植物在缓解城市空气污染方面可以发挥至关重要的作用。本研究旨在估计巴基斯坦首都伊斯兰堡沿路绿化带开发中使用的21种不同植物的空气污染耐受指数(APTI)和预期性能指数(API)。采用标准方法测定所选植物叶片提取物的抗坏血酸、总叶绿素含量、相对含水量和pH值,测定APTI和API。结果表明,紫杉树(Syzygium cumini L., jaman)、紫杉树(Pterospermum acerifolium, kanak champa)和雪桐(Alstonia scholaris, devil tree)表现较好。根据API和APTI值,这些物种可以有效地减少空气污染,并且可以有效地用于城市绿地的开发。小白、苦楝、山茱萸、黄檀、柽柳、金合欢、金合欢、金合欢对空气和噪音的抑制效果都很差。这些植物表现很差,对空气污染非常敏感。这些植物可以作为城市空气质量差的生物指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.90
自引率
0.00%
发文量
10
审稿时长
2 months
期刊介绍: The Journal of Environmental Science and Management (JESAM) is an international scientific journal produced semi-annually by the University of the Philippines Los Baños (UPLB). JESAM gives particular premium to manuscript submissions that employ integrated methods resulting to analyses that provide new insights in environmental science, particularly in the areas of: environmental planning and management; protected areas development, planning, and management; community-based resources management; environmental chemistry and toxicology; environmental restoration; social theory and environment; and environmental security and management.
期刊最新文献
Environmental and Health Impacts: Presence of Radionuclides and Toxic Metals in Mining Areas in Niger State, Nigeria Study on the Spatio-temporal Characteristics of Soundscape in Famous Historical and Cultural Towns: a Case Study of Labrang Town, Xiahe County, China Predicting Species Occurrence of Litsea leytensis Merr. in the Provinces of Laguna and Quezon, Philippines Riparian Vegetation Assessment for Effective Management of Molawin River, Mt. Makiling, Philippines Climate and Socio-economic Factors Affecting the Adoption of Irrigation Practices for Improved Rice Yield in Mbeya Region, Tanzania
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1