Firstly, perform observer level quality control on the minute level sulfur dioxide concentration data collected at Shangdianzi Station in 2019; Secondly, with the support of data quality control software, hourly data is generated through expert level quality control; Combine hourly data into a daily dataset. The daily dataset includes information such as station names, dates, and element concentrations, which can be used for daily variation analysis of major atmospheric pollutant gas sulfur dioxide data.
collect time | 2019/01/01 - 2019/12/31 |
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collect place | Shangdianzi National Atmospheric Background Station, Houshan Shangdianzi Village, Gaoling Town, Miyun District, Beijing |
altitude | 293.1m - 293.5m |
data size | 361.5 KiB |
data format | .xls |
Coordinate system | WGS84 |
The TE43i TLE sulfur dioxide analyzer produced by Thermo Fisher was used to collect minute level concentration data of nitrogen dioxide, with data units in ppb and data format in Excel (*. xls) format.
The raw data is first subjected to processes such as singular value screening and zero crossing checks to eliminate problematic observation data. Then calibrate the data based on the calibration curve, and finally calculate the hourly and daily averages based on the effective data volume.
The data has undergone two levels of quality control, observer level and expert level, and the data quality is good.
# | title | file size |
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1 | _ncdc_meta_.json | 3.6 KiB |
2 | 上甸子2019-SO2.xls | 361.5 KiB |
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