EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 248 (2021) E3S Web Conf., 248 (2021) 03059 References
Open Access
Issue
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
Article Number 03059
Number of page(s) 8
Section Research on Civil Water Conservancy Engineering and Urban Architecture
DOI https://doi.org/10.1051/e3sconf/202124803059
Published online 12 April 2021
  1. Zou C N, Zhao Q, Chen J J, et al. Natural gas in China: Development trend and strategic forecast[J]. Natural Gas Industry, 38(4): 1-11 (2018). [Google Scholar]
  2. Zhu Q Z, Li Q Y, Wu C, et al. Construction Status and Development Trend of Global Oil & Gas Pipelines in 2017[J]. Oil & Gas Storage and Transportation, 38(4): 373-378 (2019). [Google Scholar]
  3. Wang H J, Zhu Q Z, Zhang Y P. Overview of Oil and Gas Pipelines in the World[J]. Oil & Gas Storage and Transportation, 34(1): 15-18 (2015). [Google Scholar]
  4. Yao A L, Zhou L G, Wang L, et al. Management and Risk Evaluation on Long-distance Gas Pipelines Related to Regional Level Upgrading[J]. Natural Gas Industry, 37(1): 124-130 (2017). [Google Scholar]
  5. Zhang J Y, Du J S. Analysis on the Pipeline Rupture Induced by Flood[J]. Oil & Gas Storage and Transportation, 19(1): 16-19 (2000). [Google Scholar]
  6. Zhang Q, Wang S X, Wang P F, et al. Assessment of Risk of Flood Damage at Slope of Pipeline Based on Combination of Entropy Method and Extension Theory[J]. China Safety Science Journal, 27(12): 110-115 (2017). [Google Scholar]
  7. Xiong J N, Sun M Y, Sun M. Risk Assessment on Mountain Torrents and Debris Flows along Lon-distance Pipelines Based on the GIS and Coupling-Coordination Principle[J]. Natural Gas Industry, 37(1): 116-124 (2017). [Google Scholar]
  8. Zhao B S, Wang S X, Xu K, et al. Experimental Study of Drop Pit Characteristics of Rill Erosion on Foreland Pluvial Fan Slope land[J]. Arid Land Geography, 40(2): 348-354 (2017). [Google Scholar]
  9. Zheng Q C, Yao A L, Guan H P, et al. Safety Evaluation on Flood Damage at Slope of Oil and Gas Pipelines Based on Cloud Model[J]. Journal of Safety and Environment, 12(4): 234-238 (2012). [Google Scholar]
  10. Wang R, Zhao F. Application of Slope Water Damage Prevention and Control Technology in Hengduan Mountain Area[J]. Chinese Journal of Underground Space and Engineering, 13(S2): 896-900 (2017). [Google Scholar]
  11. Wang X, Duan Q Q. Improved AHP-TOPSIS Model for the Comprehensive Risk Evaluation of Oil and Gas Pipelines[J]. Petroleum Science, 16: 1479-1492 (2019). [Google Scholar]
  12. Huang J C, Meng C Z. Analysis on Flood Damage from Crossing River Pipeline Project[J]. Journal of Sediment Research, (2): 41-49 (1998). [Google Scholar]
  13. Jing H Y, Hao J B, Chen Y J, et al. Technique and Application of Geologic Hazard Risk Semi-Quantitative Assessment of Pipeline[J]. Oil & Gas Storage and Transportation, 30(7): 497-500 (2011). [Google Scholar]
  14. A National Energy Administration, People's Republic of China. (SY/T 6828-2017) Technical Specification for Geological Hazards Risk Management of Oil and Gas Pipeline [S]. Petroleum Industry Press Ltd, Beijing (2018). [Google Scholar]
  15. Du M, Zhao D F, Meng Y F. A Multi-level Extension Evaluation on Failure Risk of Long-Distance Gas Pipeline in Landslide Area[J]. Oil & Gas Storage and Transportation, 31(8): 564-567 (2012). [Google Scholar]
  16. Li D Y, Du Y. Artificial Intelligence with Uncertainty (2nd.End)[M], National Defense Industry Press, Beijing (2014). [Google Scholar]
  17. Zhang L M, Wu X G, Chen Q Q, et al. Developing a Cloud Model Based Risk Assessment Methodology for Tunnel-Induced Damage to Existing Pipelines[J]. Stoic Environ Res Risk Assess, 29(2): 513-526 (2015). [Google Scholar]
  18. Qu Z Y, Wang J, Wu Y, et al. Synthetic Evaluation Method for Electric Power Production Safety Based on the Extension Cloud Model[J]. Safety and Environmental Engineering, 22(3): 94-98 (2015). [Google Scholar]
  19. Guo Y B, Meng X L, Meng T, et al. A Novel Method of Risk Assessment Based on Cloud Inference for Natural Gas Pipelines[J]. Journal of Natural Gas Science and Engineering, 30: 421-429 (2016). [Google Scholar]
  20. Zhang M Y, Wang S X, Sun Z Z, et al. Comprehensive Evaluation of Landslide Risk of Oil and Gas Pipelines Based on Cloud Theory[J]. Chinese Journal of Engineering, 40(4): 427-437 (2018). [Google Scholar]
  21. Zhao D F, Li C B, Wang Q Q, et al. Comprehensive Evaluation of National Electric Power Development Based on Cloud Model and Entropy Method and TOPSIS: A Case Study in Countries[J]. Journal of Cleaner Production, 277: 123190-123203 (2020). [Google Scholar]
  22. Fu J L, Chen W B, Shao Y W, et al. Evaluation on Flood Damage Degree of Farmland Based on Normal Cloud Theory[J]. China Land Science, 33(2): 76-84 (2019). [Google Scholar]
  23. Fu H L, Huang Z, Huang H W, et al. Health Diagnosis Method of Shield Tunnel Structure Based on Cloud Theory[J]. Chinese Journal of Engineering, 39(5): 794-801 (2017). [Google Scholar]
  24. Chen S Q, Chen H Y, Wu X G, et al. Risk Assessment of Metro Tunnel Leakage Based on Copula-cloud Model[J]. Journal of Civil Engineering and Management, 36(5): 90-95 (2019). [Google Scholar]
  25. Li T, Li F W, Li X X, et al. Comprehensive Assessment of Earthquake Hazard Risk Based on Normal Cloud Model - A Case Study of Bijie City[J]. China Safety Science Journal, 25(10): 166-171 (2015). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.