Pollution resistance assessment of plants around chromite mine based on anticipated performance index, dust capturing capacity and metal accumulation index

• Published in: Environmental science and pollution research international Vol. 29; no. 42; pp. 63357 - 63368
• Main Authors: Mandal, Kalicharan, Dhal, Nabin Kumar
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2022; Springer Nature B.V
• Subjects: Accumulation; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Chromite; Dust; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental science; Flowers & plants; Green belts; Heavy metals; Parameters; Performance indices; Physiology; Plant species; Pollution; Pollution levels; Research Article; Species; Variance analysis; Waste Water Technology; Water Management; Water Pollution Control; Anticipated performance index; Bio-monitor; Chromite mine; Metal accumulation index; Dust capturing capacity; Greenbelt development
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-022-20246-6

Plant species sustaining under a polluted environment for a long time are considered as potentially resistant species. Those plant species can be considered as an eco-sustainable tool used to bio-monitor and mitigate pollution. This study was carried out on a total of ten commonly available plant species to assess their anticipated performance index (API), dust capturing capacity (DCC), and metal accumulation index (MAI) in chromite mine and control areas. According to the anticipated performance index (API), Macaranga peltata (Roxb.) Müll.Arg., Holarrhena pubescens Wall. ex G.Don and Ficus hispida Roxb. ex Wall. are highly tolerant species while Terminalia arjuna (Roxb. ex DC.) Wight & Arn. and Trema orientalis (L.) Blume are intermediate tolerant species. F. hispida was also shown to have the highest dust capturing capacity (5.94 ± 0.43 mg/cm 2 ) whereas that of Woodfordia fruticosa Kurz (1.03 ± 0.11 mg/cm 2 ) was found to be lowest. The metal accumulation index ranged from 17.29 to 4.5 and 6.38 to 1.94 at the mine and control areas, respectively. Two-way ANOVA analysis revealed area-wise significant differences between biochemical and physiological parameters. Also, results showed that the pollution level and heavy metal affected different biochemical and physiological parameters of plant species at the mining area. The plant species with the highest API, DCC, and MAI value could be recommended for greenbelt development in different polluted areas.