A prediction model for surface deformation caused by underground mining based on spatio-temporal associations

Author:

Ren Min1,Cheng Guanwen1,Zhu Wancheng1,Nie Wen2,Guan Kai1,Yang Tianhong1

Affiliation:

1. Center for Rock Instability and Seismicity Research, Department of Mining Engineering, School of Resource and Civil Engineering, Northeastern University, Shenyang PR China

2. Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, PR China

Funder

National Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Random Forest—Based Identification of Factors Influencing Ground Deformation Due to Mining Seismicity;Remote Sensing;2024-07-26

2. A Review on the 3D Cartographic and Spatiotemporal GIS Models for Safety of Accidents in Deep Underground Coal Mines;Mining, Metallurgy & Exploration;2024-04-24

3. Tolerated outlier prediction method of excavation damaged zone thickness of drift based on interpretable SOA-QRF ensemble learning;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2024-04-11

4. Hybridization of Apriori Algorithm and Genetic Algorithm for Association Rule Mining in Generative AI Enabled Machine Learning;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

5. Complex Valued Markov Random Field (CMRF) Based Monte Carlo Metropolis (MCM) for Monitoring Surface Deformation;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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