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An approach to evaluation of environmental benefits for ecological mining areas based on ant Colony algorithm

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Abstract

This study firstly applies ant colony algorithm to optimize the classification index formulas and comprehensive index formulas related to the environmental benefits of ecological mining areas and builds an environmental benefits evaluation model. Then taking the ecological mining area of China Pingmei Shenma Energy Chemical Group as an example, the simulation software MATLAB is used to evaluate the environmental benefits from four aspects: system structure, resource utilization, environmental effects and economic results, thus the environmental benefits grades of the mining area before and after ecological construction are confirmed. With this research, the author’s endeavor is to provide a new objective evaluation method to check if the construction of ecological mining areas can realize the goal of coordinated development of economy, society and environment of coal industry.

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The data are included in this published article, and its supplementary information could be obtained from the author on reasonable request.

References

  • Aznar-Sánchez JA, Velasco-Muñoz JF, Belmonte-Ureña LJ, Manzano-Agugliaro F (2019) Innovation and technology for sustainable mining activity: a worldwide research assessment. J Clean Prod 221:38–54

    Article  Google Scholar 

  • Blumetto O, Castagna A, Cardozo G, García F, Tiscornia G, Ruggia A, Scarlato S, Albicette MM, Aguerre V, Albin A (2019) Ecosystem integrity index, an innovative environmental evaluation tool for agricultural production systems. Ecol Indic 101:725–733

    Article  Google Scholar 

  • Bouamama S, Blum C, Fages JG (2019) An algorithm based on ant colony optimization for the minimum connected dominating set problem. Appl Soft Comput 80:672–686

    Article  Google Scholar 

  • de Villiers N, van Rooyen GC, Middendorf M (2018) Sewer network design layout optimisation using ant colony algorithms. J South Afr Inst Civil Eng 60(3):2–15

    Google Scholar 

  • Kecojevic V (2011) Analysis of “high-dollar” value safety and health citations and orders for the US coal mines. Saf Sci 49(5):658–663

    Article  Google Scholar 

  • Lizuo Y, Liuyun, Liangxiao L et al (2014) Environmental quality gravitational universal index formula based on index normative value. J Environ Sci 34(2):496–506

    Google Scholar 

  • Qi R, Liu T, Jia Q, Sun L, Liu J (2019) Simulating the sustainable effect of green mining construction policies on coal mining industry of China. J Clean Prod 226:392–406

    Article  Google Scholar 

  • Shi H (2012) Mine green mining. Energy Proc 16:409–416

    Article  Google Scholar 

  • Swab RM, Lorenz N, Byrd S, Dick R (2017) Native vegetation in reclamation: improving habitat and ecosystem function through using prairie species in mine land reclamation. Ecol Eng 108:525–536

    Article  Google Scholar 

  • Twomey C, Stützle T, Dorigo M, Manfrin M, Birattari M (2010) An analysis of communication policies for homogeneous multi-colony ACO algorithms. Inf Sci 180(12):2390–2404

    Article  Google Scholar 

  • Wan L (2012) A research on environmental costs and benefits in the construction period of ecological mining area [D]. China University of Mining and Technology

  • Wang R, Cheng J, Zhu Y, Lu P (2017) Evaluation on the coupling coordination of resources and environment carrying capacity in Chinese mining economic zones. Resour Policy 53:20–25

    Article  Google Scholar 

  • Xu J, Gao W, Xie H, Dai J, Lv C, Li M (2018) Integrated tech-paradigm based innovative approach towards ecological coal mining. Energy 151:297–308

    Article  Google Scholar 

  • Yaghoobirafi K, Nazemi E (2019) An approach to XBRL interoperability based on ant Colony optimization algorithm. Knowl-Based Syst 163:342–357

    Article  Google Scholar 

  • Zhang H, Li Z, Shu W, Chou J (2019) Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor networks. EURASIP J Wirel Commun Netw 2019(1):152

    Article  Google Scholar 

  • Zhaotie C (2010) Firmly establishing the concept of safety development, creating a new situation of safe production in coal mines. Safe Production 001:10003–10004

    Google Scholar 

  • Zhonghua C, Yu S (2011) Environmental Protection Investment and SustainableDevelopment-Policy Simulation Based on Nonlinear Dynamics. Energy Proc 5:467–471

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by the Key Science and Technological Project of Henan Province (Grant No.202400410392). Meanwhile, the authors would like to thank School of Environment Science and Spatial Informatics of China University of Mining and Technology for supporting this research. In addition, this study was also supported by the crosswise task of China Pingmei Shenma Energy Chemical Group.

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Funding

The project of Henan Key Science and Technological (under Grant 202400410392).

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Authors and Affiliations

  1. Management School, Henan University of Urban Construction, Pingdingshan, 467036, Henan, China

    Linwei Wan & Chenlin Du

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  1. Linwei Wan
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  2. Chenlin Du
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Correspondence to Linwei Wan.

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Wan, L., Du, C. An approach to evaluation of environmental benefits for ecological mining areas based on ant Colony algorithm. Earth Sci Inform 14, 797–808 (2021). https://doi.org/10.1007/s12145-021-00582-w

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  • DOI: https://doi.org/10.1007/s12145-021-00582-w

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