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Assessment of dispersion of respirable particles emitted from opencast mining operations: development and validation of stepwise regression models

Author

Listed:
  • Satya Prakash Sahu

    (Mahanadi Coalfields Limited)

  • Aditya Kumar Patra

    (Indian Institute of Technology Kharagpur)

Abstract

This study gives insight into the spatiotemporal variability of respirable PM concentrations around typically highly mechanized opencast coal mines in India and its influence on ambient air quality, which at present is scant in the literature. The results suggest that at a distance of 500 m from the pit boundary, the respirable PM concentrations were found higher than the background concentration (1.52, 1.80 and 1.89 times for PM10, PM2.5 and PM1 at Mine 1 and 1.4, 1.35 and 1.35 times for PM10, PM2.5 and PM1 at Mine 2) which suggests that residents up to and beyond 500 m from the mine are exposed to the PM emitted from mining activities. For PM2.5 and PM1 concentrations, RH was the most important determinant (PM2.5: 24.8%; PM1: 30.1%). Pit boundary PM concentration was the weakest determinant (7%) for the PM2.5 concentration in mine surroundings, and wind speed was found as the weakest determinant (6.6%) for PM1 concentration. Conversely, distance (20.8%) was the important determinant of PM10 concentrations. All the four predictors (RH, wind speed, distance and Pit boundary PM concentration) could explain 46–54% variability in the PM concentrations. Inclusion of pit boundary PM concentration as a predictor increased the prediction capability of the models (all the developed models have R2 > 0.40 at significance level p

Suggested Citation

  • Satya Prakash Sahu & Aditya Kumar Patra, 2022. "Assessment of dispersion of respirable particles emitted from opencast mining operations: development and validation of stepwise regression models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9139-9164, July.
  • Handle: RePEc:spr:endesu:v:24:y:2022:i:7:d:10.1007_s10668-021-01816-z
    DOI: 10.1007/s10668-021-01816-z
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