Risk Analysis Model of Water Inrush Through the Seam Floor Based on Set Pair Analysis
| العنوان: | Risk Analysis Model of Water Inrush Through the Seam Floor Based on Set Pair Analysis |
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| المؤلفون: | Wu Qiang, Chen Meng-yu, Li Bo, Duan xian-qian |
| المصدر: | Mine Water and the Environment. 37:281-287 |
| بيانات النشر: | Springer Science and Business Media LLC, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | animal structures, Hydrogeology, Index system, business.industry, 0211 other engineering and technologies, 02 engineering and technology, 010502 geochemistry & geophysics, Geotechnical Engineering and Engineering Geology, 01 natural sciences, Inrush current, Risk evaluation, Set (abstract data type), Mining engineering, Risk analysis (business), Environmental science, Coal, business, Risk assessment, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Water Science and Technology |
| الوصف: | The complex hydrogeological conditions of China’s coal fields and the frequent water inrush accidents there seriously threaten the safe mining of coal. A new risk evaluation model for water inrushes from seam floors was constructed by combining the established evaluation index system with set pair analysis (SPA), thereby integrating quantitative and qualitative indexes. The resultant model reflects both the factors affecting water inrush from the seam floor and the uncertainty in the parameter values for those factors. To demonstrate the value of this model, the risk of water inrush from the seam floor was assessed for the working face of a mine in Tongzi county, Guizhou province, China. The prediction obtained from the model conformed to the actual conditions. Moreover, the methodology provides a basis for water inrush risk assessment from seam floors. |
| تدمد: | 1616-1068 1025-9112 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::78a57916447978398099646019192acbTest https://doi.org/10.1007/s10230-017-0498-5Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........78a57916447978398099646019192acb |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16161068 10259112 |
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