Prediction of the Death Toll of Environmental Pollution in China’s Coal Mine Based on Metabolism-GM (1, n) Markov Model

Song Jiang, Minjie Lian, CaiWu Lu, Qinghua Gu, Hai Zhao

Ekoloji, 2017, Issue 101, Pages: 17-23, Article No: e101003


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The data of death toll in China’s coal mine cuased by environmental pollution is very difficult to predict because of its characteristics of small data volume, strong discreteness and non-linearity. In order to accurately predict the death toll in coal mine caused by environmental pollution, and take effective preventive measures to reduce casualties, in this paper, the grey GM (1, n) forecast model, Markov Theory and metabolic thought are combined. With the calculation of weight of grey Markov model by order relation analysis method, the predictive model is constructed, and a method which is suitable for predicting the death toll of environmental pollution in coal mineis proposed. Based on the death toll of coal mine traffic accidents from 2001 to 2013, the above model is used to predict the death toll of coal mine environmental pollution in 2014, and the result is compared with the actual data. The result shows that the relative error of the prediction on the death cuased by environmental pollution in China’s coal mine based on metabolism-GM (1, n) Markov model is 32.73% less than that of grey GM (1, n) prediction model. It can be seen that the proposed grey Markov model has high prediction accuracy and meets the actual demand. It is an effective method to predict the death of China’s coal mine generated by environmental pollution.


metabolism, Markov model, Gray model, environmental pollution


  • Chuang LI, Yuan M, Wang Y, et al. (2017) Prediction of Coal Mine Safety Accidents Fatalities Based on Grey Markov Model(GMM). Industrial Safety & Environmental Protection.
  • Fu H, Liu X (2017) Research on the Phenomenon of Chinese Residents’ Spiritual Contagion for the Reuse of Recycled Water Based on SC-IAT. Water, 9(11).
  • Gong Z, Chen C, Ge X (2014) Risk prediction of low temperature in Nanjing city based on grey weighted Markov model. Natural Hazards, 71(2): 1159-1180.
  • Guo X, Liu S, Wu L, et al. (2014) Application of a Novel Grey Self-Memory Coupling Model to Forecast the Incidence Rates of Two Notifiable Diseases in China: Dysentery and Gonorrhea. Plos One, 9(12):e115664.
  • He X, Song L (2012) Status and future tasks of coal mining safety in China ☆. Safety Science, 50(4): 894-898.
  • Lan JY, Zhou Y (2014) Death Rate per Million Ton Prediction of Coal Mine Accidents Based on Improved Gray Markov GM(1,1) Model. Mathematics in Practice & Theory.
  • Lisnianski A, Elmakias D, Laredo D, et al. (2017) A multi-state Markov model for a short-term reliability analysis of a power generating unit. Reliability Engineering & System Safety, 98(1): 1-6.
  • Liu Z, Li H, Liu K, et al. (2017) Design of high-performance water-in-glass evacuated tube solar water heaters by a high-throughput screening based on machine learning: A combined modeling and experimental study. Solar Energy, 142: 61-67.
  • Ruan S, Xie H, Jiang S (2017) Integrated Proactive Control Model for Energy Efficiency Processes in Facilities Management: Applying Dynamic Exponential Smoothing Optimization. Sustainability, 9(9):1597.
  • Todd AJ, Rufaut CG, Craw D, et al. (2009) Indigenous plant species establishment during rehabilitation of an opencast coal mine, south-east Otago, New Zealand.. New Zealand Journal of Forestry Science, 39(1): 81-98.
  • Yin W, Fu G, Yang C, et al. (2017) Fatal gas explosion accidents on Chinese coal mines and the characteristics of unsafe behaviors: 2000–2014. Safety Science, 92: 173-179.