Evaluation of Anticipated Performance Index of some tree species for green belt development to mitigate traffic generated noise

Pathak, Vinita; Tripathi, B. D.; Mishra, Virendra Kumar

doi:10.1016/j.ufug.2010.06.008

Cited by 139 publications

(57 citation statements)

References 27 publications

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“…This broad category includes mainly parks, forests, public squares, recreational grounds and private front or backyard garden land. Ongoing interdisciplinary research is being carried out; either emphasizing the effect of vegetation non traffic noise in terms of trees, plants and hedges (Kragh, 1981;Huddart, 1990;Van Renterghem and Botteldooren, 2002;Fang and Ling, 2005;Kang, 2007;Wong et al, 2010;Pathak et al, 2011;Yang et al, 2011;Horoshenkov et al, 2013;Van Renterghem et al,2014) or studying the acoustic properties of the ground in terms of porosity and other similar parameters (Attenborough, 2002;Gołebiewski, 2007;Attenborough et al, 2012;Bashir et al, 2015). Previous work has put emphasis on individually assessing the effectiveness of parks on traffic noise reduction (González-Oreja et al, 2010;Cohen et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Relationship between urban green spaces and other features of urban morphology with traffic noise distribution

Margaritis

Kang

2016

Urban Forestry & Urban Greening

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Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Abstract: The effect of greenery on traffic noise mitigation has been extensively studied on the level of single plants, green walls, berms and hedges, but not considering whole sample areas within the cities. Therefore, the aim of this paper is to investigate the relationship between features of urban morphology related to green spaces, roads or buildings and traffic noise distribution in urban areas. The analysis was applied in eight UK cities with different historical and architectural background, following two different settlement forms (radial, linear). In each city a 30 km 2 grid was defined and three different levels of approach were considered (macro-scale, meso-scale, micro-scale). The first level regarded the eight cities as single entities, while in the second one every single tile of the applied grid was investigated in two different cities. In the third level only the eight city centres were analyzed. Statistical analysis was used combined with GIS tools. In total 18 variables were constructed and tested for possible relationships with noise levels (L den ). It was found that in spite of the fact that each city has its own dynamic and form, features of urban morphology were related to traffic noise levels to a different extent at each scale. At the macro-scale, the green space pattern was related to the structure of the city as well as the traffic noise levels in combination with the rest of the morphological parameters. At the meso-scale, an increase in internal road connectivity contributed to higher traffic noise. Green space variables explained part of the variance in traffic prediction models. Finally, at the micro-scale, it was also proved that different areas can have the same building coverage but different noise levels. Therefore, these indexes could be profiled and used as an "a priori" tool for urban sound planning.

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Section: Introductionmentioning

confidence: 99%

Relationship between urban green spaces and other features of urban morphology with traffic noise distribution

Margaritis

Kang

2016

Urban Forestry & Urban Greening

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“…For collection of gaseous and particulate pollution, HVAS (2.5 High Volume air Sampler) was used for 24 Hours with flow rate of one liter per minute. PM 2.5 was sampled by PM2.5 HVAS and estimated by gravimetric analysis [16]. SO 2 was estimated by West-Geake method using sodium tetra-chloromercurate.…”

Section: Air Pollutants Sampling and Measurementmentioning

confidence: 99%

“…F. religiosa was judged to be in the "Very Good" category and was recommended for plantation (Table 4). These species have an intense canopy of evergreen foliage and is well known for its economic and aesthetic value [16] [36].…”

Section: Estimation Of Apimentioning

confidence: 99%

An Evaluation of Air Pollution Tolerance Index and Anticipated Performance Index of Some Tree Species Considered for Green Belt Development: A Case Study of Nandesari Industrial Area, Vadodara, Gujarat, India

Patel¹,

Kumar²

2018

OJAP

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It is well renowned that trees have capacity to reduce the air pollution. It is mandatory to expand tree plantation in industrial area to minimize the threat of pollutants. For green belt development, it is necessary to use plants that are tolerant to air pollution. The present study includes Air pollution tolerance index (APTI) of selected plant species with the help of biochemical analysis. On the basis of APTI and some other socioeconomic and biological parameters of plants, Anticipated Performance Index (API) was calculated. Out of twelve species, Ficus benghalensis showed to be the most efficient among others. As per classification of API, Ficus religiosa tree species is classified into the moderate category. Based on the APTI and API, appropriate plant species for green belt development in industrial area were identified and recommended for mitigating the pollution.

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“…The APTI value combined with some biological and socio economic characters such as plant habit, canopy structure, type of plant and economic value as shown in Table 1 Table 2 indicates the various categories of plant species based on their API score [9], [16]. Anticipated performance index (API) was calculated as follows:…”

Section: Determination Of Anticipated Performance Indexmentioning

confidence: 99%

Tree Species for bio-monitoring and Green Belt Design: A Case Study of Ota Industrial Estate, Nigeria

Anake

Eimanehi

Riman

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. Bio-chemical and physiological parameters of plants have been employed in the screening of suitable bio -monitors via the estimation of air pollution tolerance index (APTI) and anticipated performance index (API). In the present study, five plant species, Elaesis guineensis, Mangifera indica, Terminate catappa, Musa spp and Araucaria heterophylla within high concentrated industrial areas of Ota industrial estate were evaluated based on these two indices. APTI for all plant species ranged from 3.43 to 10.1 signifying their bio-monitoring status. Out of five species, Terminate catappa was identified as the most sensitive. Following API classification, Mangifera indica was graded as a good performer while Elaesis guineensis and Terminate catappa were grouped as moderate performers for green belt development. Further evaluation of screened trees for high grade tolerant species and carbon sequestration potential is recommended.

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Evaluation of Anticipated Performance Index of some tree species for green belt development to mitigate traffic generated noise

Cited by 139 publications

References 27 publications

Relationship between urban green spaces and other features of urban morphology with traffic noise distribution

Relationship between urban green spaces and other features of urban morphology with traffic noise distribution

An Evaluation of Air Pollution Tolerance Index and Anticipated Performance Index of Some Tree Species Considered for Green Belt Development: A Case Study of Nandesari Industrial Area, Vadodara, Gujarat, India

Tree Species for bio-monitoring and Green Belt Design: A Case Study of Ota Industrial Estate, Nigeria

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