Risk assessment of water inrush from coal floor based on enhanced samples with class distribution
文献类型：期刊论文
| 作者 | Liu, Shiwei1,2; Zhao, Jiaxin2; Yu, Hao2; Chen, Jiaqi2 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2025-01-10 |
| 卷号 | 15期号:1页码:16 |
| 关键词 | Coal mining above a confined aquifer Risk of water inrush from coal floor Small sample Data augmentation Neural network |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-025-85997-x |
| 英文摘要 | In the risk assessment of water inrush from coal floors, the amount of measured data obtained through on-site testing is small and random, which limits the prediction accuracy and generalizability of a model based on measured data. Using the distribution characteristics of the measured data and mega-trend diffusion theory, we propose a virtual sample enhancement method based on class distribution mega-trend diffusion technology (CDMTD) and introduce constraints on the class distribution of influencing factors. This method was used to generate virtual samples and enhance the measured database. A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. The CDMTD method could effectively solve the problem of virtual sample distribution variation in the overall trend diffusion theory and enhance the measured database, reducing the impact of small sample sizes. Compared to other optimization models, our model showed the best prediction performance, with an error reduction of 42.95-51.27% and results biased towards safety. Our results support safe and efficient coal mining above Ordovician limestone-confined water. |
| 资助项目 | Special Fundamental Research Project of Hebei Natural Science Foundation ; Open Subject of the State Key Laboratory of Geotechnical Mechanics and Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z018022] ; Science and Technology Project of Hebei Education Department[BJ2019023] ; Science and Technology Project of Hebei Education Department[QN2021030] ; [E2024402061] ; [E2021402023] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001396053500027 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/37916]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Liu, Shiwei |
| 作者单位 | 1.Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Hebei Univ Engn, Coll Water Conservancy & Hydropower, Handan 056038, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Shiwei,Zhao, Jiaxin,Yu, Hao,et al. Risk assessment of water inrush from coal floor based on enhanced samples with class distribution[J]. SCIENTIFIC REPORTS,2025,15(1):16. |
| APA | Liu, Shiwei,Zhao, Jiaxin,Yu, Hao,&Chen, Jiaqi.(2025).Risk assessment of water inrush from coal floor based on enhanced samples with class distribution.SCIENTIFIC REPORTS,15(1),16. |
| MLA | Liu, Shiwei,et al."Risk assessment of water inrush from coal floor based on enhanced samples with class distribution".SCIENTIFIC REPORTS 15.1(2025):16. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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