RESUMEN
Green vegetation enrichment is a cost-effective technique for reducing atmospheric pollution. Fifteen common tropical plant species were assessed for identifying their air pollution tolerance, anticipated performance, and metal accumulation capacity at Jharia Coalfield and Reference (JCF) site using Air Pollution Tolerance Index (APTI), Anticipated Performance Index (API), and Metal Accumulation Index (MAI). Metal accumulation efficiencies were observed to be highest for Ficus benghalensis L. (12.67mg/kg) and Ficus religiosa L. (10.71 mg/kg). The values of APTI were found to be highest at JCF for F. benghalensis (APTI: 25.21 ± 0.95), F. religiosa (APTI: 23.02 ± 0.21), Alstonia scholaris (L.) R. Br. (APTI: 18.50 ± 0.43), Mangifera indica L. (APTI: 16.88 ± 0.65), Azadirachta indica A. Juss. (APTI: 15.87 ± 0.21), and Moringa oleifera Lam. (APTI: 16.32 ± 0.66). F. benghalensis and F. religiosa were found to be excellent performers to mitigate air pollution at JCF as per their API score. Values of MAI, APTI, and API were observed to be lowest at reference sites for all the studied plant species due to absence of any air polluting sources. The findings revealed that air pollution played a significant impact in influencing the biochemical and physiological parameters of plants in a contaminated coal mining area. The species with the maximum MAI and APTI values might be employed in developing a green belt to minimize the levels of pollutants into the atmosphere.
Asunto(s)
Contaminantes Atmosféricos , Contaminación del Aire , Contaminantes Atmosféricos/análisis , Contaminación del Aire/análisis , Monitoreo del Ambiente/métodos , India , Metales , Hojas de la Planta/química , PlantasRESUMEN
The concentration of trace elements like Fe, Mn, Cu, Zn, Ni, Pb, Cd, Cr, Co, and As in atmospheric particulate matter (PM2.5) was estimated to investigate their seasonal variation, potential sources, and health risk at Jharia coalfield, India, during May 2018 to April 2019. Measured PM2.5 (170 ± 45 µg/m3) exceeded the National Ambient Air Quality Standards (2009) by a factor of 4.25, the Clean Air Act, National Ambient Air Quality Standards (40 CFR part 50) by a factor of 11, and Air Quality Guidelines of World Health Organization (2005) by a factor of 16. Mean concentration of the trace elements were observed in the order of Fe > Mn > Cu > Zn > Cr > Pb > Co > Ni > Cd > As, highest being perceived at the monitoring sites affected by coal mine fire. The significantly higher HQ values posed by PM2.5-bound Cd, Cr, Cu, Pb, and As and higher HI values (multi-elemental exposure) indicated potential non-carcinogenic risk to the residents of Dhanbad. Higher ECR values in the coal mining areas of JCF indicated higher carcinogenic risk to the population (adults > children) of Dhanbad due to inhalation of PM2.5-bound Cr. Spontaneous combustion of coal in the mines, active mine fire, associated mining activities, heavy vehicular emission, and re-suspended road dust were recognized as the potential sources of the trace elements from the results of PCA and Pearson correlation analysis.
RESUMEN
Dust samples were collected from roads of five distinct types of land use zones (National Highway, residential areas, sensitive areas, mining areas, and busy traffic areas) of Dhanbad to determine the pollution characteristics, health risk, and identifying the source of trace elements. The dust samples were segregated into ≤ 60 µm and trace elements like Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn were analysed. Concentrations of Cd, Cr, Cu, Fe, and Mn were observed highest in the mining areas, whereas Ni, Pb, and Zn presented higher concentration values at National Highway and busy traffic zones. Cd showed highest geo-accumulation index (Igeo), contamination factor (Cf), and ecological risk (ER) among all the trace elements. The health risk assessment model was performed to assess the health effects of carcinogenic and non-carcinogenic pollutants caused due to multi-elemental exposure on adults and children. The significantly higher HQ (Hazard Quotient) and HI (Hazard Index) values posed by Cr, Fe, and Mn indicated potential non-carcinogenic risks to the people of Dhanbad. Similarly, values of CR (Cancer Risk) for Cd, Cr and Ni were within the range of 10-6-10-4, which indicated to cause carcinogenic risk to the population by the exposure of road dust. Principal Component Analysis (PCA) and Pearson correlation showed that coal mining activities in Jharia coalfield, coal-based industries like coke-oven plants, coal washeries and heavy vehicular load in the roads of Dhanbad were the major causes of emission of these trace elements.
Asunto(s)
Polvo/análisis , Exposición a Riesgos Ambientales/análisis , Contaminación Ambiental/análisis , Metales Pesados/análisis , Adulto , Carcinógenos/análisis , Carcinógenos/toxicidad , Niño , Ciudades , Carbón Mineral/análisis , Minas de Carbón , Exposición a Riesgos Ambientales/efectos adversos , Monitoreo del Ambiente , Contaminantes Ambientales/análisis , Humanos , India , Industrias , Metales Pesados/toxicidad , Medición de Riesgo , Análisis Espacio-Temporal , Oligoelementos/análisisRESUMEN
Jharia Coalfield (JCF) is one of the oldest coalfields in the eastern part of India and falls under critically polluted areas as per CPCB/MoEFCC Notification. Therefore, a study of air pollution and its management is the demand of the day. This study had been undertaken to know the current status of JCF concerning air quality. Ambient air quality monitoring with reference to particulate matter (PM10 and PM2.5), SO2, NOx and trace elements had been conducted in the coal mining areas of JCF. The study area was divided into two groups, mainly fire and non-fire for the sampling of air. Principal component analysis (PCA) identified coal mine fire as a major source of air pollution in the mining areas of JCF. Air quality index (AQI) was calculated which revealed that the air quality index of coal mine fire-affected areas was nearly 1.5 times higher than that of the non-mine fire areas. Graphical abstract.