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Using Carbon Sequestration as a Remote-Monitoring Approach for Reclamation’s Effectiveness in the Open Pit Coal Mine: A Case Study of Mae Moh, Thailand

Author

Listed:
  • Komsoon Somprasong

    (Department of Mining and Petroleum Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai District, Chiang Mai 50200, Thailand)

  • Thitinan Hutayanon

    (Mine Reclamation Department, EGAT Mae Moh, 801 M. 6 Mae Moh District, Lampang 52220, Thailand)

  • Pirat Jaroonpattanapong

    (Department of Mining and Petroleum Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai District, Chiang Mai 50200, Thailand)

Abstract

Reclamation is regarded as one of the mining processes that can lessen the environmental impact of its production, particularly for large-scale coal mines that emit significant quantities of greenhouse gases. However, the assessment and evaluation of the reclamation process primarily rely on qualitative methods. Utilizing LANSAT8 Operational Land Imager (OLI) remote sensing in conjunction with GIS, this study aimed to develop a quantitative method for validating the efficacy of a reclamation procedure applicable to the emerging trend of carbon reduction. The empirical formula utilized to compute the annual carbon sequestrations of the reclamation area in the Mae Moh mine exhibited the appropriate spatial relative standard deviation (S-RSD) at 98.25%. The findings indicate that the reclamation area reached its highest level of carbon sequestration in 2022, at 331.28 ± 11.89 ktCO 2 e, surpassing the baseline of 126.53 ktCO 2 e. Furthermore, the approach demonstrates significant potential in improving the standard method for assessing reclamation through reforestation.

Suggested Citation

  • Komsoon Somprasong & Thitinan Hutayanon & Pirat Jaroonpattanapong, 2023. "Using Carbon Sequestration as a Remote-Monitoring Approach for Reclamation’s Effectiveness in the Open Pit Coal Mine: A Case Study of Mae Moh, Thailand," Energies, MDPI, vol. 17(1), pages 1-15, December.
  • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:231-:d:1311583
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    References listed on IDEAS

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    1. Nizar Ali & Muhammad Saad & Anwar Ali & Naveed Ahmad & Ishfaq Ahmad Khan & Habib Ullah & Areeba Binte Imran, 2023. "Assessment of aboveground biomass and carbon stock of subtropical pine forest of Pakistan," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(7), pages 287-304.
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