ASSESSING THE AIR POLLUTION TOLERANCE INDEX AND ANTICIPATED PERFORMANCE INDEX OF ROADSIDE PLANT SPECIES FOR BIOMONITORING ENVIRONMENTAL HEALTH

Q4 Environmental Science Pollution Research Pub Date : 2022-09-30 DOI:10.53550/pr.2022.v41i03.016
A. Devkota, S. Sapkota, S. Dhyani
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引用次数: 1

Abstract

Leaf surface of plants acts as a sink for the deposition of air pollutants in the urban environment andis considered an ecologically sustainable cost-effective strategy to mitigate the impact of air pollution.In this context, assessment of air pollution tolerance index (APTI) and anticipated performanceindex (API) was calculated to observe the tolerant potential of fifteen plant species along roadsideof Kathmandu valley. APTI was determined by combining the four biochemical and physiologicalparameters; Relative water content (RWC), Total chlorophyll content (TChl), Ascorbic acid content(AA) and Leaf extract pH using a pre-defined formula. Results suggested that, TChl and pH werelower, and RWC and AA were higher at heavily polluted area in comparison to the control site. TheAPTI for the species ranged between 7.57 and 11.51, ideal for sensitive species category (APTI < 16),and the plants are classified as bio indicators of air pollution. Highest mean ATPI (11.51) wasrecorded in Callistemon citrinus and lowest (7.57) was recorded in Buddleja asiatica. The API notonly takes APTI into consideration but also the biological and socio-economic aspect of the species.The API grade indicates. Ficus religiosa and N. arbor-tritis (API = 5) as good performers whileCallistemon citrinus (API=4), Nerium oleander (API=3), Bougainvillea glabra (API=3) and Buddlejaasiatica (API=3) are predicted to be moderate green belt performers. On the basis of APTI and APIassessment, the study suggest that out of fifteen species, only six plants species were identifiedas suitable green belt development. The overall results highlight the suitability of APTI and APIas simple, inexpensive, and convenient methods for recommending plant species for urban areaswith sound environmental pollution with dust load.
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用于环境健康生物监测的路边植物物种的空气污染耐受指数和预期性能指数评估
植物的叶子表面是空气污染物在城市环境中沉积的汇,被认为是一种生态可持续的、具有成本效益的战略,以减轻空气污染的影响。在此背景下,计算了空气污染耐受指数(APTI)和预期性能指数(API)的评估,以观察加德满都山谷沿线15种植物的耐受潜力。APTI通过结合四个生化和生理参数来测定;使用预定义公式计算相对含水量(RWC)、总叶绿素含量(TChl)、抗坏血酸含量(AA)和叶提取物pH值。结果表明,与对照区相比,重污染区的TChl和pH较低,RWC和AA较高。该物种的APTI在7.57至11.51之间,是敏感物种类别(APTI<16)的理想选择,并且这些植物被归类为空气污染的生物指标。平均ATPI最高(11.51)记录在桔梗中,最低(7.57)记录在亚洲芽中。API不仅考虑了APTI,还考虑了物种的生物和社会经济方面。API等级表明。Ficus religiosa和N.arbor-tritis(API=5)表现良好,而Callistemon citrinus(API=4)、Nerium oleander(API=3)、Bougainvilla glabra(API=3)和Buddlejaasiatica(API=3)则是中等绿化带表现者。基于APTI和API评估,研究表明,在15种植物中,只有6种被确定为适合绿化带发展的植物。总体结果强调了APTI和API作为一种简单、廉价和方便的方法,适用于推荐具有良好环境污染和灰尘负荷的城市地区的植物物种。
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Pollution Research
Pollution Research Environmental Science-Water Science and Technology
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期刊介绍: POLLUTION RESEARCH is one of the leading enviromental journals in world and is widely subscribed in India and abroad by Institutions and Individuals in Industry, Research and Govt. Departments.
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