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Beijing Shangdianzi Atmospheric Background Station Sulfur Dioxide Daily Dataset (2019)
  • 2024/09/26 22:59
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English name
Beijing Shangdianzi Atmospheric Background Station Sulfur Dioxide Daily Dataset (2019)
CSTR
CSTR:11738.11.NCDC.SDZRAW.DB6591.2024
DOI
10.12072/ncdc.sdzraw.db6591.2024
Share type
Online
Category
Atmosphere
source site
Shangdianzi Atmospheric Background Station
contributors
HOU Jinlong
Datasets description

    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.

Base information
collect time 2019/01/01  -  2019/12/31
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
Data thumbnail
Data source description

    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.

Data processing method

  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.

Data quality description

    The data has undergone two levels of quality control, observer level and expert level, and the data quality is good.

Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.
When using data, please indicate that the 2019 Beijing Shangdianzi Atmospheric Background Station SO2 Daily Dataset data is from the Beijing Shangdianzi Atmospheric Background Station

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. HOU Jinlong. Beijing Shangdianzi Atmospheric Background Station Sulfur Dioxide Daily Dataset (2019). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.11.NCDC.SDZRAW.DB6591.2024.
  2. HOU Jinlong. Beijing Shangdianzi Atmospheric Background Station Sulfur Dioxide Daily Dataset (2019). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.12072/ncdc.sdzraw.db6591.2024.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 _ncdc_meta_.json 3.6 KiB
2 上甸子2019-SO2.xls 361.5 KiB
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How to get the data 
east 117.13
west 117.05
south  40.63
north  41.00
Export metadata
Service information
contacts:
Dong Fan
phone:
010-69039119
mailbox:
fdong@ium.cn
Contact information
contributors:
HOU Jinlong
author:
DONG Fan
manager:
ZHOU Liyan

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