Dataset of PM2.5 aerosol particle concentration at different locations on Tibetan Plateau (2019)

Dataset of PM2.5 aerosol particle concentration at different locations on Tibetan Plateau (2019)


This data set includes PM2.5 mass concentrations (unit: μ g / m3) of atmospheric aerosol particles from South-East Tibetan plateau Station, Ngari Station, Muztagh Ata Station, Qomolangma station and Namco station. Aerosol PM2.5 fine particles refer to the particles with aerodynamic equivalent diameter less than or equal to 2.5 μ m in ambient air. It can be suspended in the air for a long time, which has an important impact on air quality and visibility. The higher its concentration in the air, the more serious the air pollution. The concentration characteristic data of PM2.5 were calculated every 5 The analysis of aerosol mass concentration in different time scales, such as hour, day and night, season and inter annual, can be achieved by obtaining a group of data frequency for output. This provides important data support for the analysis of aerosol mass concentration changes in different time scales and its influencing factors in different locations of the Qinghai Tibet Plateau, as well as the evaluation of local air quality. The data is an update of the published data set of aerosol PM2.5 concentration at different stations on the Qinghai Tibet Plateau (2018).


File naming and required software

The daily mean value is obtained by arithmetic average, which can be opened and checked by Excel software and analyzed preliminarily


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

Wu, G. (2020). Dataset of PM2.5 aerosol particle concentration at different locations on Tibetan Plateau (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270866. CSTR: 18406.11.Meteoro.tpdc.270866. (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

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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
East: 94.00 West: 79.00
South: 28.00 North: 33.00
Details
  • Temporal resolution: Daily
  • Spatial resolution: -
  • File size: 0.04 MB
  • Views: 3484
  • Downloads: 2
  • Access: Protection period
  • Temporal coverage: 2019-01-07 To 2020-01-06
  • Updated time: 2021-04-19

download later

Contacts
: WU Guangjian  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata