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A Scientometric Analysis of Trends in Coal Mine Water Inrush Prevention and Control for the Period 2000–2019

Eine Metaanalyse der Entwicklung von Wassereinbruchsvorkehrungen und Gegenmaßnahmen im Kohlenbergbau in der Periode 2000–2019

2000-2019年煤矿突水防治趋势的科学计量分析

Un análisis cienciométrico de las tendencias en la prevención y el control de la entrada de agua en las minas de carbón para el período 2000–2019

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Abstract

Water inrush hazards in coal mines pose a great risk to the safety of miners and coal production. We studied journal articles on coal mine water inrush prevention and control from 2000 to March 2019 using data from the Web of Science Core Collection V.5.32 database. We used CiteSpace V.5.3.R11 software to analyse the literature, including countries, institutions, authors, disciplines, journals, hot topics, and research frontiers. A total of 1612 published papers on coal mine water inrush prevention and control research were identified. China and the USA had the highest numbers of publications in this field. The China University of Mining and Technology was the most influential research institution. The journal with the largest number of relevant publications was the International Journal of Coal Geology. Hidden water disasters, quantitative evaluation of aquicludes, and rapid identification of water inrush sources are still unresolved problems. Improvement of electromagnetic methods, intelligent mine water monitoring, and three-dimensional hydrogeological systems were the leading research trends in this field.

Zusammenfassung

Wassereinbruchsgefahren in Kohlenminen sind ein großes Risiko für die Sicherheit der Bergleute und für die Kohlenproduktion. Wir untersuchten Zeitschriftenartikel über die Vorkehrung und Maßnahmen gegen Wassereinbrüche im Kohlenbergbau von 2000 bis März 2019, unter Nutzung von Daten der Web of Science Core Collection V.5.32 Datenbank. Wir benutzten das Programm CiteSpace V.5.3.R11 um Literatur, Länder, Institutionen, Autoren, Disziplinen, Zeitschriften, aktuelle Themen und die Grenzen der Wissenschaft zu untersuchen. Insgesamt wurden 1612 veröffentlichte Artikel über Forschung zu Wassereinbruchsvorkehrung und Gegenmaßnahmen im Kohlenbergbau identifiziert. China und USA hatten in dem Feld die größte Zahl von Publikationen. Die China University of Mining and Technology war die einflußreichste Forschungsinstitution. Das International Journal of Coal Geology enthielt die größte Zahl wichtiger Publikationen. Verborgene Wasserhavarien, die quantitative Bewertung undurchlässiger Schichten, und die schnelle Identifizierung der Einbruchsquelle sind noch immer ungelöste Probleme. Verbesserte elektromagnetische Methoden, eine intelligente Überwachung des Bergbauwassers, und dreidimensionale hydrogeologische Systeme sind in dem Felde die führenden Entwicklungen der Forschung.

摘要

煤矿突水灾害对煤矿工人和煤炭生产安全构成了极大威胁。从科学核心数据库V.5.32,我们研究了2000年至2019年3月关于煤矿突水防治的期刊文章。利用软件CiteSpaceV.5.3.R11分析了文献的研究国家与机构、作者、所属学科领域、出版期刊、热点和前沿。识别出1612篇公开发表的煤矿突水防治研究论文。中国和美国在这一领域出版文献数量最多。中国矿业大学是最有影响力的研究机构。《国际煤炭地质International Journal of Coal Geology》发表相关文献最多。隐蔽水害、隔水层定量评价、突水水源快速识别等仍是未解决的难题。电磁勘探改进、矿井水智能监测和三维水文地质系统是该领域的主要研究趋势。

Resumen

Los riesgos de la entrada de agua en las minas de carbón representan un gran riesgo para la seguridad de los mineros y la producción de carbón. Estudiamos artículos de revistas sobre la prevención y el control de la entrada de agua en las minas de carbón desde 2000 hasta marzo de 2019 utilizando datos de la base de datos Web of Science Core Collection V.5.32. Utilizamos el software CiteSpace V.5.3.R11 para analizar la literatura, incluyendo países, instituciones, autores, disciplinas, revistas, temas relevantes y fronteras de investigación. Se identificaron un total de 1.612 artículos publicados sobre investigación de prevención y control de la entrada de agua en minas de carbón. China y los Estados Unidos tuvieron el mayor número de publicaciones en este campo. La Universidad de Minería y Tecnología de China fue la institución de investigación más influyente. La revista con el mayor número de publicaciones relevantes fue International Journal of Coal Geology. Los desastres de agua oculta, la evaluación cuantitativa de acuicludos y la identificación rápida de fuentes de entrada de agua siguen siendo problemas no resueltos. La mejora de los métodos electromagnéticos, el monitoreo inteligente del agua de las minas y los sistemas hidrogeológicos tridimensionales, fueron las principales tendencias de la investigación en este campo.

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References

  • Chen CM (2006) Citespace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Chin Soc Sci Technol Inf 57(3):359–377

    Google Scholar 

  • Chen J, Liu G, Kang Y, Wu B, Sun R, Zhou C, Wu D (2014a) Coal utilization in China: environmental impacts and human health. Environ Geochem Health 36:735–753

    Google Scholar 

  • Chen CM, Dubin R, Kim MC (2014b) Emerging trends and new developments in regenerative medicine: a scientometric update (2000–2014). Expert Opin Biol Ther 14(9):1295–1317

    Google Scholar 

  • Chen M, Wu Y, Gao DD, Chang M (2017) Identification of coal mine water-bursting source using multivariate statistical analysis and tracing test. Arab J Geosci 10:28

    Google Scholar 

  • Dong DL, Wj Sun, Xi S (2012) Water-inrush assessment using a GIS-based Bayesian network for the 12-2 coal seam of the Kailuan Donghuantuo coal mine in china. Mine Water Environ 31:138–146

    Google Scholar 

  • Dong SN, Dai ZX, Li JS, Zhou WF (2018) The scale dependence of dispersivity in multi-facies heterogeneous formations. Carbonates Evaporites 33:161–165

    Google Scholar 

  • Duan HF, Jiang ZQ, Zhu SY, Zhao LJ, Liu JG (2012) A expansive limits anti-permeability strength methodology of the coal mine floor water inrush evaluating. Proc Environ Sci 12:372–378

    Google Scholar 

  • Freeman Linton C (2008) Centrality in social networks conceptual clarification. Soc Netw 1(3):215–239

    Google Scholar 

  • García-Lillo F, Ubeda-García M, Marco-Lajara B (2016) Organizational ambidexterity: exploring the knowledge base. Scientometrics 107(3):1021–1040

    Google Scholar 

  • Gui H, Lin M, Song X (2018) Identification and application of roof bed separation (water) in coal mines. Mine Water Environ 37:376–384

    Google Scholar 

  • He JH, Li WQ, Qiao W (2018) P-h-q evaluation system for risk assessment of water inrush in underground mining in north china coal field, based on rock-breaking theory and water-pressure transmission theory. Geomat Nat Hazard Risk 9:524–543

    Google Scholar 

  • Hu YB, Li WP, Liu SL, Wang QQ, Wang ZK (2019) Risk assessment of water inrush from aquifers underlying the Qiuji coal mine in China. Arab J Geosci 12:98

    Google Scholar 

  • Li P (2018) Mine water problems and solutions in China. Mine Water Environ 37:217–221

    Google Scholar 

  • Li FL, Zhang XY, Chen XL, Tian YC (2017) Adaptive and robust evidence theory with applications in prediction of floor water inrush in coal mine. Trans Inst Meas Control 39:483–493

    Google Scholar 

  • Li B, Wu Q, Duan XQ, Chen MY (2018) risk analysis model of water inrush through the seam floor based on set pair analysis. Mine Water Environ 37:281–287

    Google Scholar 

  • Light DDM, Donovan JJ (2015) Mine-water flow between contiguous flooded underground coal mines with hydraulically compromised barriers. Environ Eng Geosci 21(2):147–164

    Google Scholar 

  • Liu WT, Li Q, Zhao JY, Fu B (2018a) Assessment of water inrush risk using the principal component logistic regression model in the Pandao coal mine, China. Arab J Geosci 11:463

    Google Scholar 

  • Liu WT, Mu DR, Xie XX, Li Y, Wang DH (2018b) Sensitivity analysis of the main factors controlling floor failure depth and a risk evaluation of floor water inrush for an inclined coal seam. Mine Water Environ 37:636–648

    Google Scholar 

  • Liu S, Liu W, Huo Z, Song WC (2019) Early warning information evolution characteristics of water inrush from floor in underground coalmining. Arab J Geosci 12:30

    Google Scholar 

  • Lu YL, Wang LG (2015) Numerical simulation of mining-induced fracture evolution and water flow in coal seam floor above a confined aquifer. Comput Geotech 67:157–171

    Google Scholar 

  • Lu QY, Li XQ, Li WP, Chen W, Li LF, Liu SL (2018) Risk evaluation of bed-separation water inrush: a case study in the Yangliu coal mine, China. Mine Water Environ 37:288–299

    Google Scholar 

  • Meng ZP, Li GQ, Xie XT (2012) A geological assessment method of floor water inrush risk and its application. Eng Geol 143–144:51–60

    Google Scholar 

  • Meng L, Feng Q, Li Q (2018) Coupled simulation–optimization model for draining confined aquifer via underground boreholes to prevent water inrush of coal mines. Environ Earth Sci 77:607

    Google Scholar 

  • Merigó José M, Yang JB (2017) A bibliometric analysis of operations research and management science. Omega 73:37–48

    Google Scholar 

  • Qi YM, Li MZ, Li KJ, Yeh Tian-Chyi Jim (2017) Spatiotemporal development of mine water inrush and its mechanism—a case study in ganhe coal mine, Shanxi, China. Arab J Geosci 10:433

    Google Scholar 

  • Qiu M, Shi LQ, Teng C, Zhou Y (2017) Assessment of water inrush risk using the fuzzy Delphi analytic hierarchy process and grey relational analysis in the Liangzhuang coal mine, China. Mine Water Environ 36:39–50

    Google Scholar 

  • Shi XX (2013) Detection of water hazards in mining surface by electromagnetic method. Disaster Adv 6:296–307

    Google Scholar 

  • Sun W, Zhou W, Jiao J (2016) Hydrogeological classification and water inrush accidents in China’s coal mines. Mine Water Environ 35:214–220

    Google Scholar 

  • Wang H, Xu ZS (2016) Admissible orders of typical hesitant fuzzy elements and their application in ordered information fusion in multi-criteria decision making. Inf Fus 29:98–104

    Google Scholar 

  • Wu Q, Zhou W (2008) Prediction of groundwater inrush into coal mines from aquifers underlying the coal seams in china: vulnerability index method and its construction. Environ Geol 56:245–254

    Google Scholar 

  • Wu P, Tang CY, Liu CQ, Zhu LJ, Pei TQ, Feng LJ (2009) Geochemical distribution and removal of As, Fe, Mn and Al in a surface water system affected by acid mine drainage at a coalfield in southwestern China. Environ Geol 57:1457–1467

    Google Scholar 

  • Wu Q, Liu YZ, Yang L (2011) Using the vulnerable index method to assess the likelihood of a water inrush through the floor of a multi-seam coal mine in China. Mine Water Environ 30:54–60

    Google Scholar 

  • Wu Q, Cui FP, Zhao SQ, Liu SQ, Zeng YF, Gu YW (2013a) Type classification and main characteristics of mine water disasters. Chin Coal Soc 38(4):561–565

    Google Scholar 

  • Wu Q, Fan SK, Zhou WF, Liu SQ (2013b) Application of the analytic hierarchy process to assessment of water inrush: a case study for the no. 17 coal seam in the Sanhejian coal mine, China. Mine Water Environ 32:229–238

    Google Scholar 

  • Wu Q, Liu YZ, Luo LH, Liu SQ, Sun WJ, Zeng YF (2015a) Quantitative evaluation and prediction of water inrush vulnerability from aquifers overlying coal seams in Donghuantuo coal mine, China. Environ Earth Sci 74:1429–1437

    Google Scholar 

  • Wu Q, Liu YZ, Zhou WF, Li BY, Zhao B, Liu SQ, Sun WJ, Zeng YF (2015b) Evaluation of water inrush vulnerability from aquifers overlying coal seams in the Menkeqing coal mine, China. Mine Water Environ 34:258–269

    Google Scholar 

  • Wu Q, Guo XM, Shen JJ, Xu S, Liu SQ, Zeng YF (2017) Risk assessment of water inrush from aquifers underlying the Gushuyuan coal mine, China. Mine Water Environ 36:96–103

    Google Scholar 

  • Xie P (2015) Study of international anticancerresearch trends via co-word and document co-citation visualization analysis. Scientometrics 105(1):611–622

    Google Scholar 

  • Xu YC, Luo YQ, Li JH, Li KQ, Cao XC (2018) Water and sand inrush during mining under thick unconsolidated layers and thin bedrock in the Zhaogu no. 1 coal mine, China. Mine Water Environ 37:336–345

    Google Scholar 

  • Yang WM, Li LC, Li XJ, Wang LG (2014) Water outbursts in underground mining with steeply dipping coal seams: numerical simulations based on a mining case. Eur J Environ Civ Eng 18:511–535

    Google Scholar 

  • Yang C, Liu SD, Wu RX (2017) Quantitative prediction of water volumes within a coal mine underlying limestone strata using geophysical methods. Mine Water Environ 36:51–58

    Google Scholar 

  • Yin HY, Wei JC, Lefticariu Liliana, Guo JB, Xie DL, Li ZL, Zhao P (2016) Numerical simulation of water flow from the coal seam floor in a deep longwall mine in China. Mine Water Environ 35(2):243–252

    Google Scholar 

  • Yin HY, Zhao H, Xie DL, Sang SZ, Tian MH (2019) Mechanism of mine water inrush from overlying porous aquifer in Quaternary: a case study in Xinhe coal mine of Shandong province, China. Arab J Geosci 12:163

    Google Scholar 

  • Yu DJ, Shi SS (2015) Researching the development of Atanassov intuitionistic fuzzy set: using a citation network analysis. Appl Soft Comput 32:189–198

    Google Scholar 

  • Zhang J, Yang T (2018) Study of a roof water inrush prediction model in shallow seam mining based on an analytic hierarchy process using a grey relational analysis method. Arab J Geosci 11:153

    Google Scholar 

  • Zhang K, Cao B, Lin G, Zhao MD (2017) Using multiple methods to predict mine water inflow in the Pingdingshan no. 10 coal mine, China. Mine Water Environ 36(1):154–160

    Google Scholar 

Download references

Acknowledgements

This research was supported by the National Key R&D Program of China during the 13th Five-year Plan Period (2017YFC0804102). The authors thank the editor and anonymous reviewers for their valuable comments.

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Correspondence to Liwei Zheng.

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Dong, S., Zheng, L., Tang, S. et al. A Scientometric Analysis of Trends in Coal Mine Water Inrush Prevention and Control for the Period 2000–2019. Mine Water Environ 39, 3–12 (2020). https://doi.org/10.1007/s10230-020-00661-2

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