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

Jiangjiang Yin, Jianyou Lu (), Fuchao Tian and Shaofeng Wang ()
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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

Mathematics, 2022, vol. 10, issue 17, 1-18

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.

Keywords: rock-blasting; smoke-dust pollution; digital image processing; fractal dimension; grayscale average; hazards classification (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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