Advanced search
Publication Cover
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 45, 2023 - Issue 1
Submit an article Journal homepage
269
Views
8
CrossRef citations to date
0
Altmetric
Research Article

Coal and gas outburst risk prediction based on the F-SPA model

Yao NieCollege of Resource and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, ChinaCorrespondence[email protected]
View further author information
,
Yilin WangCollege of Resource and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, ChinaView further author information
&
Ruiying WangCollege of Resource and Safety Engineering, China University of Mining and Technology (Beijing), Beijing, ChinaView further author information
Pages 2717-2739 | Received 04 Mar 2019, Accepted 02 Jul 2019, Published online: 17 Sep 2019

Citations (8)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Jiankun Xu, Xuelong Li, Xinzeng Xu, Zan Li, Baolin Li, Danyang Xi & Shumin Liu. (2020) Study on the rapid construction method of large section vertical well in thick alluvium. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-14.
Read now
Jiangong Li, Xuelong Li & Jie Hu. (2020) Research on the rapid determination technology of the consistent coefficient f of coal based on the crushing method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-18.
Read now

Articles from other publishers (6)

Chunhua Zhang, Jinquan Chen, Xin Wu, Jiahui Shen & Dengming Jiao. (2022) Poset-based risk identification method for rockburst-induced coal and gas outburst. Process Safety and Environmental Protection 168, pages 872-882.
Crossref
Guorui Zhang, Enyuan Wang, Jianchun Ou & Zhonghui Li. (2022) Regional Prediction of Coal and Gas Outburst Under Uncertain Conditions Based on the Spatial Distribution of Risk Index. Natural Resources Research 31:6, pages 3319-3339.
Crossref
Guorui Zhang, Enyuan Wang, Chaolin Zhang, Zhonghui Li & Dongming Wang. (2022) A comprehensive risk assessment method for coal and gas outburst in underground coal mines based on variable weight theory and uncertainty analysis. Process Safety and Environmental Protection 167, pages 97-111.
Crossref
Li Yang, Xin Fang, Xue Wang, Shanshan Li & Junqi Zhu. (2022) Risk Prediction of Coal and Gas Outburst in Deep Coal Mines Based on the SAPSO-ELM Algorithm. International Journal of Environmental Research and Public Health 19:19, pages 12382.
Crossref
Chunhua Zhang, Dengming Jiao, Ziwen Dong & Hongyu Zhang. (2021) Risk assessment method of coal and gas outburst based on improved comprehensive weighting and cloud theory. Energy Exploration & Exploitation 40:2, pages 777-799.
Crossref
Wei Wang, Hanpeng Wang, Bing Zhang, Su Wang & Wenbin Xing. (2021) Coal and gas outburst prediction model based on extension theory and its application. Process Safety and Environmental Protection 154, pages 329-337.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.