Selecting most tolerant roadside trees in different environmental settings help to mitigate air pollution by serving as a sink for gaseous air pollutants and be tolerant for polluted environments. However, in most of the humid tropics, there is no proper mechanism for roadside tree selection in the absence of scientific research. The present study was designed with the objective of assessing Air Pollution Tolerance Index (APTI) of Terminalia catappa (Indian almond), Cassia fistula (Golden shower tree), Pongamia pinnata (Indian beech), Madhuca longifolia (Butter tree) and Peltophorum pterocarpum (Yellow flame tree) using four biochemical parameters; pH, ascorbic acid content, relative water content and total chlorophyll content on leaves. The study was conducted at two environmental settings identified as least polluted and highly polluted in Colombo, Sri Lanka. Environmental settings were identified based on SO₂, NO₂ and PM _2.5 levels in ambient air. Selected five species with ten replicates from each site were assessed by estimating APTI values. Standard One Way ANOVA followed by Tukey's pairwise comparison was carried out to determine the differences in selected biochemical parameters among five selected roadside tree species at each site. In both sites, highest APTI values were recorded in M. longifolia, followed by P. pterocarpum, T. catappa, C. fistula and P. pinnata.

在不同的环境环境中选择耐受性最强的路边树木，可以作为气态空气污染物的汇入点，并可以耐受污染的环境，从而有助于减轻空气污染。但是，在大多数潮湿的热带地区，在缺乏科学研究的情况下，没有适当的路边树木选择机制。本研究的目的是与客观的评估空气污染指数公差（APTI）的榄仁树（印度杏仁），阿勃勒（金雨树），水黄皮（印度榉木），长叶（牛油树）和盾柱木（黄色火焰树）使用四个生化参数；pH，抗坏血酸含量，相对水分含量和叶片上的总叶绿素含量。这项研究是在斯里兰卡科伦坡被确定为污染最小和高度污染的两个环境下进行的。根据环境空气中的SO ₂，NO ₂和PM _2.5含量确定环境设置。通过估算APTI值，评估了每个站点选择的具有十个重复项的五个物种。进行标准单向方差分析，然后进行Tukey的成对比较，以确定每个站点的五个选定路旁树种之间选定生化参数的差异。在两个站点中，最长的M. longifolia中均记录到最高的APTI值，其次是P. pterocarpum，T. catappa，C. fistula和P. pinnata。