Home Journals Articles Updates About
CN
image
收藏切换
Characteristics Analysis and Prediction of Heavy Rainfall Infiltration After Transition from Open-Pit to Underground Mining
收藏切换
PDF
Yishan ZHANG1, Xiang HE2, Fang ZHANG2, Shaoquan WANG2, Longbin DONG2, Zhou LAN1
Mining and Metallurgical Engineering | 2024, 44(6) : 23 - 27
Less
收藏切换
Mining and Metallurgical Engineering | 2024, 44(6): 23-27
• MINING •
Characteristics Analysis and Prediction of Heavy Rainfall Infiltration After Transition from Open-Pit to Underground Mining
Full
Yishan ZHANG1, Xiang HE2, Fang ZHANG2, Shaoquan WANG2, Longbin DONG2, Zhou LAN1
Affiliations
  • 1.Hainan Mining Co., Ltd., Changjiang 572799, Hainan, China
  • 2.Northern Engineering & Technology Corporation, MCC, Dalian 116600, Liaoning, China
Published: 2024-12-01 doi: 10.3969/j.issn.0253-6099.2024.06.005
Outline
收藏切换

For estimating the amount of infiltrated water during heavy rainfall after transition from open-pit mining to underground block caving, the Beiyi mining area of Shilu Iron Mine in Hainan Province after transition from open-pit to underground mining was taken for study. The characteristics of “three zones” formed due to overburden subsidence during the block caving of Beiyi mining area were analyzed based on the field investigation and numerical simulation of land subsidence area. The influence of different overburden on the infiltration coefficient of rainfall was also analyzed with a numerical calculation model for unsaturated overburden. Then, based on the practical measurement of rainfall and drainage, statistical analysis and inverse analysis were conducted for the infiltration coefficient of the caving zone and the surface runoff coefficient. The infiltrated water due to heavy rainfall in Beiyi mining area after transition from open pit from underground mining is calculated to be 225 386 m3, which can provide a reference for the design of infiltration and drainage system for the mine after transition from open-pit to underground mining.

transition from open-pit to underground mining  /  rainfall infiltration  /  block caving  /  infiltration coefficient  /  percolation coefficient  /  prediction of infiltration  /  amount of infiltrated water  /  fracture zone  /  caving zone  /  overburden
Yishan ZHANG, Xiang HE, Fang ZHANG, Shaoquan WANG, Longbin DONG, Zhou LAN. Characteristics Analysis and Prediction of Heavy Rainfall Infiltration After Transition from Open-Pit to Underground Mining[J]. Mining and Metallurgical Engineering, 2024 , 44 (6) : 23 -27 . DOI: 10.3969/j.issn.0253-6099.2024.06.005
Appendix
Less
Year 2024 volume 44 Issue 6
PDF
35
14
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.0253-6099.2024.06.005
  • Receive Date：2024-07-09
  • Online Date：2026-03-19
  • Published：2024-12-01
Article Data
Affiliations
History
  • Received：2024-07-09
Funding
Affiliations
    1.Hainan Mining Co., Ltd., Changjiang 572799, Hainan, China
    2.Northern Engineering & Technology Corporation, MCC, Dalian 116600, Liaoning, China
References
Share
https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2024.06.005
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House