收藏切换
Key Influencing Factors and Scheme Optimization for Deep-Sea Hydraulic Mining
收藏切换
Guoshuai Sun1, Qi Ma1, Jiao Feng2
Mining Research and Development | 2026, 46(8) : 10 - 20
Less
收藏切换
Mining Research and Development | 2026, 46(8): 10-20
Key Influencing Factors and Scheme Optimization for Deep-Sea Hydraulic Mining
Full
Guoshuai Sun1, Qi Ma1, Jiao Feng2
Affiliations
  • 1.College of Civil Engineering and Architecture, Xinjiang University, Urumqi, Xinjiang 830047, China
  • 2.School of Information Management, Xinjiang University of Finance & Economics, Urumqi, Xinjiang 830012, China
Published: 2026-08-25
Outline
收藏切换

To ensure efficient resource collection while minimizing environmental impact, enhancing economic feasibility, and promoting the sustainable development of deep-sea hydraulic mining technology, a hybrid evaluation system was constructed for identifying key influencing factors and optimizing solution selection. Firstly, based on grounded theory, a comprehensive evaluation system was constructed from three dimensions of technology, environment and economy, which includes 5 primary indicators (environmental disturbance, collection efficiency, energy consumption characteristics, structural reliability and collection economy) and their corresponding 20 secondary indicators. Next, the Fuzzy-DEMATEL method and the CRITIC method were applied to determine subjective and objective weights, respectively, followed by comprehensive weighting. Finally, the Pythagorean fuzzy multi-attribute decision-making method based on PFHWD-TOPSIS was used to sort the alternatives and achieve scientific optimization. The results show that the constructed hybrid evaluation system can effectively support factor analysis and scheme decision-making, among which environmental disturbance and economic stability are the key constraint factors in the decision-making of deep-sea hydraulic mining schemes. In the four deep-sea hydraulic mining schemes, the wall-attached jet scheme (C2) has the optimal comprehensive performance, and performs prominently in terms of environmental disturbance, energy consumption characteristics and economy. The research results can provide a theoretical reference for the optimization of deep-sea hydraulic mining schemes and help the sustainable development of the technology.

Deep-sea environment  /  Hydraulic mining  /  Influencing factor  /  Scheme optimization
孙国帅, 马琦, 冯娇. 深海水力集矿关键影响因素及方案优选. 矿业研究与开发, 2026 , 46 (8) : 10 -20 .
Guoshuai Sun, Qi Ma, Jiao Feng. Key Influencing Factors and Scheme Optimization for Deep-Sea Hydraulic Mining[J]. Mining Research and Development, 2026 , 46 (8) : 10 -20 .
Year 2026 volume 46 Issue 8
39
6
Cite this Article
BibTeX
Article Info
  • Receive Date:2025-08-05
  • Online Date:2026-10-27
  • Published:2026-08-25
Article Data
Affiliations
History
  • Received:2025-08-05
Funding
Affiliations
    1.College of Civil Engineering and Architecture, Xinjiang University, Urumqi, Xinjiang 830047, China
    2.School of Information Management, Xinjiang University of Finance & Economics, Urumqi, Xinjiang 830012, China
References
Share
https://castjournals.cast.org.cn/joweb/kyyjykf/EN/
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