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Dynamic assessment and system dynamics simulation of safety risk in whole life cycle of coal mine

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Abstract

Based on the accident causation theory, the mechanism and inducement of construction safety risk in mining enterprises are clarified. The safety risk system of mining enterprises is divided into five subsystems: personnel, material equipment, technology, environment, and management by rough set theory. The comprehensive weight of each risk factor is calculated by network analytic hierarchy process and fuzzy comprehensive evaluation method. Taking a mine in Shanxi Province as the research object, the causal traceability diagram and stock flow diagram of the risk system of mining enterprises are constructed by means of system dynamics model. The influence of various risk factors of the mine on the overall safety risk management level of the enterprise is simulated, and the numerical value of key personnel influence factors is adjusted. The sensitivity changes of safety productivity and safety risk management level of mining enterprises in different situations are analyzed. The results show that: (1) the management and personnel subsystem has the greatest impact on the safety risk management of mining enterprises, followed by the technology, material equipment, and environment subsystem. (2) Increasing safety input can improve the safety level and reduce the expected safety value time, otherwise it will reduce the safety level and delay the expected safety value time. (3) Further simulation of the personnel subsystem, it is found that the factors affecting the safety level of mining enterprises contain six factors, namely, the technical level of construction personnel, the management level of manager, the conduct code of construction personnel, the safety consciousness of practitioners, the basic quality of construction personnel, and the physical and mental state of construction personnel. (4) The conversion rate of personnel safety input to manager’s management level and the safety consciousness of practitioners presents a steep decline—slow rise—gradually steady development trend, which mainly because the benefits of safety input have certain time delay and lag.

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References

  • An YL, Dai WT, Bian ZF, Dong JH (2016) Phase division of whole life cycle of coal and their environment behavior assessment. J China Univ Min Technol 45(02):293–300

    Google Scholar 

  • Bagherpour R, Yarahmadi R, Khademian A (2015) Safety risk assessment of Iran’s underground coal mines based on preventive and preparative measures. Hum Ecol Risk Assess 21(8):2223–2238

    Article  CAS  Google Scholar 

  • Booth B (1994) Sensitivity test. Nurs times 90(36):30–32

    Google Scholar 

  • Chen WJ, Xiao XZ, Peng ZH (2020) Study on the economic benefit evaluation for technical renovation and expansion of mine based on life cycle theory. Mining Res Dev 40(06):164–168

    Google Scholar 

  • Cooke DL (2010) A system dynamics analysis of the Westray Mine disaster. Syst Dyn Rev 19(2):139–166

    Article  Google Scholar 

  • Cui CQ, Wang B, Zhao YX, Zhang YJ, Xue LM (2020) Risk management for mine closure: a cloud model and hybrid semi-quantitative decision method. Int J Miner Metall Mater 27(8):1021–1035

    Article  Google Scholar 

  • Fang X, Wu BQ, Xiong Y (2019) Research on access control system security technology life cycle based on patent index method and S curve. Sci Technol Manag Res 39(15):130–136

    Google Scholar 

  • Feng HB, Zhou JW, Chai B, Zhou AG, Li JZ, Zhu HH, Chen HN, Su DH (2020) Groundwater environmental risk assessment of abandoned coal mine in each phase of the mine life cycle: a case study of Hongshan coal mine, North China. Environ Sci Pollut Res 27(33):42001–42021

    Article  CAS  Google Scholar 

  • Gul M (2018) A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Hum Ecol Risk Assess 24(7):1723–1760

    Article  CAS  Google Scholar 

  • Gul M, Ak MF, Guneri AF (2019) Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry. J Safety Res 69:135–153

    Article  Google Scholar 

  • Hitch M, Ravichandran AK, Mishra V (2014) A real options approach to implementing corporate social responsibility policies at different stages of the mining process. Corp Gov Int J Bus Soc 14(1):45–57

    Google Scholar 

  • Iphar M, Cukurluoz AK (2020) Fuzzy risk assessment for mechanized underground coal mines in Turkey. Int J Occup Saf Ergon 26(2):256–271

    Article  Google Scholar 

  • Jiao K, Lai HL (2021) Research on key techniques of safety operation and maintenance service for existing buildings in the whole life cycle based on internet of things. Ind Constr 51(10):201–210+8

    Google Scholar 

  • Kocsis K (1961) New ventilation design criteria for underground metal mines based upon the “life-cycle” airflow demand schedule. University of British Columbia: Doctoral dissertation

  • Koo T, Collins AT, Williamson A, Caponecchia C (2019) How safety risk information and alternative forms of presenting it affect traveler decision rules in international flight choice. J Travel Res 58(3):480–495

    Article  Google Scholar 

  • Mishra RK, Rinne M (2014) Guidelines to design the scope of a geotechnical risk assessment for underground mines. J Min Sci 50(4):745–756

    Article  Google Scholar 

  • Niu LX, Zhao R (2022) Research on coal mine safety risk management model in the era of big data. Saf Coal Mines 53(07):241–245

    Google Scholar 

  • Qiang WM, Shang DF, Lu M, Zhao YF (2019) Life cycle risk identification system of utility tunnel. J Civ Eng Manag 36(05):40–44+55

    Google Scholar 

  • Ren JL, Yang P (2022) Lifecycle data management of nuclear power plant: framework system and development suggestions. Strateg Stud CAE 24(02):152–159

    Google Scholar 

  • Shang DF, Lu M, Miao LQ (2019) Life cycle safety assessment technology for underground integrated pipeline gallery. Build Struct 49(S2):894–898

    Google Scholar 

  • Tian D, Zhao C, Wang B, Zhou M (2019) A MEMCIF-IN method for safety risk assessment in oil and gas industry based on interval numbers and risk attitudes. Eng Appl Artif Intell 85:269–283

    Article  Google Scholar 

  • Tong RP, Zhai YB (2013) A health damage evaluation method for coal mine dust in its life cycle. China Saf Sci J 23(10):126–131

    Google Scholar 

  • Xu GH, Liang L, Zhang Q (2013) Technology research and system development of diagnosis and service for intelligent power equipment in life cycle. Strateg Stud CAE 15(01):79–86

    Google Scholar 

  • Yin X, Wei X (2021) Zheng H (2021) Applying system dynamics of discrete supported track to analyze the rail corrugation causation on curved urban railway tracks. Discret Dyn Nat Soc 22:1–21

    CAS  Google Scholar 

  • Yin YC, Zhang LT, Liao WZ, Niu HW, Chen FZ (2019) A knowledge resources fusion method based on rough set theory for quality prediction. Comput Ind 108:104–114

    Article  Google Scholar 

  • Yu JC, Wang MY (2021) Using QR code skillfully to promote the safety management of hazardous chemicals in university laboratories. Res Explor Lab 40(02):307–310

    Google Scholar 

  • Yu K, Cao QG, Xie CZ, Qu NN, Zhou LJ (2019) Analysis of intervention strategies for coal miners’ unsafe behaviors based on analytic network process and system dynamics. Saf Sci 118:145–157

    Article  Google Scholar 

  • Zhang C, Zhang J, Yang Q (2022a) Identifying critical risk factors in green product certification using hybrid multiple-criteria decision-making. Sustain 14(8):4513

    Article  Google Scholar 

  • Zhang JG, Wang QY, Zhao SF (2022b) Application of HAZOP-LOPA coal mine safety risk assessment method based on Bayesian network. Mining Saf Environ Protect 49(01):114–120

    Google Scholar 

  • Zhao B, Hou DY, Zhang H (2022) Study on the technical system of life cycle risk management for mercury-contaminated sites. China Environ Sci 42(05):2423–2432

    CAS  Google Scholar 

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Funding

This research is supported by Major special projects of science and technology in Shanxi Province (20191101016) and the Social Science Association research project of Anhui University of Science and Technology “Simulation and prediction of carbon peak carbon neutralization in coal life cycle from multi-scenario perspective” (SKL2021202209).

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Lirong Li, Ke Yang, and Yanqun Yang are responsible for the topic selection and conception of the manuscript, while Yanna Zhu, Cheng Li, and Guisheng Zhang are responsible for the data processing and calculation and jointly complete the paper writing.

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Correspondence to Cheng Li.

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Zhu, Y., Li, C., Li, L. et al. Dynamic assessment and system dynamics simulation of safety risk in whole life cycle of coal mine. Environ Sci Pollut Res 30, 64154–64167 (2023). https://doi.org/10.1007/s11356-023-26958-7

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