Evidence map›Paper›PMID 38240973›Full record

ArticleEnvironmental science and pollution research international2024

Selection of tropical trees and shrubs for urban greening in coal mine complex: a case study of Singrauli, Madhya Pradesh.

Mala Kumari, Tanushree Bhattacharya

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Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. De novo SSR markers development and genetic diversity assessment inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mala KumariDepartment of Civil & Environmental Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India.
Tanushree BhattacharyaDepartment of Civil & Environmental Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India. tbhattacharya@bitmesra.ac.in.ORCID http://orcid.org/0000-0003-3547-2529

Funding

Birla Institute of Technology, Mesra, Ranchi DPGS/Ph.D/IRF/2022-23/75
6 · The paper itself

Abstract

An experimental investigation was conducted to determine the effectiveness of roadside trees for removing dust and the effects of dust load on the physiology and micromorphology of the foliage. The present study was conducted near an open coal mining complex situated in Singrauli, Madhya Pradesh, India, to assess the air pollution tolerance index (APTI), anticipated performance index (API), dust capturing capacity (DCC), and leaf morphology of trees and shrubs growing around the coal fields. Results showed that Azadirachta indica, Mangifera indica, Ficus religiosa, Ailanthus excelsa, and Ficus benghalensis were the most tolerant species towards air pollution (high APTI scores), while plants like Calotropis gigantea, Lantana camara, and Tectona grandis were proven to be bio-indicator species. Butea monosperma, Ficus benghalensis, Alstonia scholaris, and Terminalia arjuna were plant species with the highest DCC. Two-way ANOVA showed significant differences site-wise and season-wise in the biochemical parameters of APTI and a considerable difference site-wise with respect to dust capturing capacity. Correlation and regression analyses revealed a very high positive correlation between APTI and ascorbic acid value. The study recommends suitable plant species to manage rising air pollution in the coal mine and nearby areas apart from suggesting the development of a green belt.

Indexed as

Air PollutantsAir PollutionChlorophyllCoalDustEnvironmental MonitoringIndiaPlant LeavesPlantsTreesAir PollutantsChlorophyllCoalDustAir pollution tolerance indexAnticipated performance indexCoal mineDust capturing capacityDust pollutionPlant species

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.