Monitoring of water level and flow velocity and analysis of Froude number and flow process (2021)

Monitoring of water level and flow velocity and analysis of Froude number and flow process (2021)


Data content: monitoring of water level and flow velocity of dam break, and analysis of Froude number and flow process

Data source: the data collection place is Sichuan. The experimental analysis was mainly completed in Sichuan University and Chengdu Ruyi Instrument Co., Ltd. The instruments used include high-speed camera, wave altimeter, electronic pressure measuring tube, pressure sensor, mechanical timer, etc. The collection time is 2021.

Acquisition method: observe the process of field large-scale dam burst test through multiple high-speed cameras, wave altimeters, total head pressure sensors, mechanical timers and other instruments.

Data quality description: relevant sensors were arranged in the field test, and real-time process dynamic observation was carried out. A total of 6 large-scale test conditions were observed, including water level and flow rate observation at 400 points. Then, Froude number and flow process were calculated and analyzed through flow rate and water level.


File naming and required software

File name: it is stored in word text format. The name of the file is "dam burst water level, velocity monitoring and Froude number and flow process analysis. Doc".
Data reading method: the data can be opened directly in word.


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

Niu, Z. (2022). Monitoring of water level and flow velocity and analysis of Froude number and flow process (2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272039. CSTR: 18406.11.HumanNat.tpdc.272039. (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)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Follow
Keywords
Geographic coverage
Details
  • Temporal resolution: --
  • Spatial resolution: --
  • File size: 1 MB
  • Views: 1337
  • Downloads: 0
  • Access: Protection period
  • Temporal coverage: 2021-01-01 To 2021-09-30
  • Updated time: 2022-02-24

download later

Contacts
: NIU Zhipan   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata