Dataset
Si-SOA: Concentration of specific ions found in PM2.5 samples taken from the Institute of Atmospheric Physics Beijing site in August 2018 and January 2019
Abstract
This dataset contains both the concentration of PM2.5 in ambient air sampled at a height of 8 metres and the concentration of specific ions found in the PM2.5 samples resulting from the analysis by Ion Chromatography. The PM2.5 samples were collected in the Institute of Atmospheric Physics, Chinese Academy of Sciences, China in August 2018 and January 2019.
The data was collected to support the study of atmospheric chemistry and processes involving Silicon (Si) containing fine particles, which potentially contribute to atmospheric pollution.
These data were collected as part of the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) Natural Environment Research Council (NERC) funded project.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Access to these data is available to any registered CEDA user. Please Login or Register for an account to gain access.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data produced by University of Birmingham and uploaded to Centre for Environmental Data Anaylsis (CEDA) for archiving. |
| Data Quality: |
Data is as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
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| File Format: |
Data are BADC-CSV formatted.
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Process overview
Instrument/Platform pairings
| Birmingham: Dionex IC 2100 Ion Chromatography (IC) | Deployed on: Institute of Atmospheric Physics land station, Beijing |
| Output Description | None |
No variables found.
Temporal Range
2018-08-07T23:00:00
2019-01-22T00:00:00
Geographic Extent
39.9740° |
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116.3710° |
116.3710° |
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39.9740° |