Prediction of Floor Failure Depth in Deep Coal Mines by Regression Analysis of the Multi-factor Influence Index-Reference-Cited by-同舟云学术

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Prediction of Floor Failure Depth in Deep Coal Mines by Regression Analysis of the Multi-factor Influence Index

Published:2021-03-08 Issue: Volume: Page:
ISSN:1025-9112
Container-title:Mine Water and the Environment
language:en
Short-container-title:Mine Water Environ

Author:

Hu Yanbo,Li Wenping,Liu Shiliang,Wang Qiqing

Funder

National Basic Research Program of China

the State Key Program of the National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Water Science and Technology

Link

http://link.springer.com/content/pdf/10.1007/s10230-021-00769-z.pdf

Reference27 articles.

1. Chao WG, Liu XM, Zhang YJ (2015) Engineering geology. Hunan University Press, Changsha (in Chinese)

2. Chen L, Feng X, Xu D, Zeng W, Zheng Z (2018) Prediction of water inrush areas under an unconsolidated, confined aquifer: the application of multi-information superposition Based on GIS and AHP in the Qidong coal mine, China. Mine Water Environ 37(4):786–795. https://doi.org/10.1007/s10230-018-0541-1

3. Chung CJF, Fabbri AG, Van Westen CJ (1995) Multivariate regression analysis for landslide hazard zonation. Adv Nat Technol Haz. https://doi.org/10.1007/978-94-015-8404-3_7

4. Gu K, Shi B, Liu C, Jiang H, Li T, Wu J (2018) Investigation of land subsidence with the combination of distributed fiber optic sensing techniques and microstructure analysis of soils. Eng Geol 240:34–47. https://doi.org/10.1016/j.enggeo.2018.04.004

5. Hu YB (2020) Dynamic evolution law of fracture distribution and water inrush risk assessment in deep mining coal seam floor. Diss, China Univ of Mining and Technology. https://doi.org/10.27623/d.cnki.gzkyu.2020.000543

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