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Pollutant Migration Pattern during Open-Pit Rock Blasting Based on Digital Image Analysis Technology

Author

Listed:
  • Jiangjiang Yin

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Jianyou Lu

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Fuchao Tian

    (State Key Laboratory of Coal Mine Safety Technology, China Coal Technology & Engineering Group Shenyang Research Institute, Shenfu Demonstration Zone, Shenyang 113122, China)

  • Shaofeng Wang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

Abstract

Previous studies have revealed that toxic gases and dust (smoke dust) are the most common pollutants generated by the blasting operations in open-pit mines, which might lead to a threat to the environment’s condition, health and safety, and properties protection around the blasting site. In order to deal with the problems, a pollution evaluation system was established based on the fractal dimension theory ( D box (P) ) and grayscale average algorithm ( G a ) in digital image-processing technology to recognize and analyze the distributions of the smoke-dust cloud, and subsequently determine the pollution degrees. The computation processes of D box (P) and G a indicate three fitted correlations between the parameters and diffusion time of smoke dust. Then, a pollution index ( Pi ) is put forward to integrate the global and local features of D box (P) and G a , and develop a hazard classification mechanism for the blasting pollutants. Results obviously denote three diffusion stages of the pollutants, mainly including generation stage, cloud-formation stage, and diffusion stage. In addition, it has been validated that the proposed system can also be utilized in single-point areas within a whole digital image. Besides, there are variation trends of the thresholds T 1 and T 2 in binarization with the diffusion of pollutants. With this identification and evaluation system, the pollution condition of smoke dust can be obviously determined and analyzed.

Suggested Citation

  • Jiangjiang Yin & Jianyou Lu & Fuchao Tian & Shaofeng Wang, 2022. "Pollutant Migration Pattern during Open-Pit Rock Blasting Based on Digital Image Analysis Technology," Mathematics, MDPI, vol. 10(17), pages 1-18, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:17:p:3205-:d:907052
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    References listed on IDEAS

    as
    1. Meng Yuan & Jingyi Ouyang & Shuanning Zheng & Ye Tian & Ran Sun & Rui Bao & Tao Li & Tianshu Yu & Shuang Li & Di Wu & Yongjie Liu & Changyou Xu & Yu Zhu, 2022. "Research on Ecological Effect Assessment Method of Ecological Restoration of Open-Pit Coal Mines in Alpine Regions," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    2. Zizi Pi & Zilong Zhou & Xibing Li & Shaofeng Wang, 2021. "Digital Image Processing Method for Characterization of Fractures, Fragments, and Particles of Soil/Rock-Like Materials," Mathematics, MDPI, vol. 9(8), pages 1-13, April.
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