Damage calculation data of the Zhubalong Bridge (2018-2021)

Damage calculation data of the Zhubalong Bridge (2018-2021)


Data content: Damage calculation data of the Zhubalong Bridge

Data source: calculation based on the established flood routing model.

Collection method: comprehensive analysis through field investigation, literature retrieval and numerical model simulation.

Data quality description: by constructing a two-dimensional dam break flood routing calculation model, the flood routing process after the dam break of Baige barrier lake on the "11.03" Jinsha River was simulated. Taking the Zhubalong Bridge in the lower reaches of the Jinsha River as the research object, the damage process of the bridge was explored based on the balance relationship between structural resistance and mountain flood damage force. The damage process of the Zhubalong Bridge in the process of flood routing was clarified, and the calculation formula for estimating the disaster water level of the bridge was obtained.


File naming and required software

File naming: the calculation data and results are stored in the format of picture TIF, table xlsx / opj, text docx and video avi / GIF.
Data reading method: it can be opened with picture browser, Excel, origin and word


Data Citations Data citation guideline What's data citation?
Cite as:

Zhang, X. (2022). Damage calculation data of the Zhubalong Bridge (2018-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272057. CSTR: 18406.11.HumanNat.tpdc.272057. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

Catastrophic mechanisms and risk control of disastrous landslides in the Tibetan Plateau (No:2018YFC1505000)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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  • File size: 5 MB
  • Views: 708
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2018-11-01 To 2021-10-31
  • Updated time: 2022-03-02

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: ZHANG Xinhua   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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