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中国京津冀区域大气SO2质量浓度空间分布数据集(2015)

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国家地球系统科学数据中心2019-01-25 更新2024-03-04 收录
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本数据首先由京津冀2015年环保部环境监测站总站公布的各地级城市的地面PM2.5、SO2、O3小时均值计算月平均获得,然后通过克里格方法(Kriging)又称空间局部插值法进行插值计算得到。环保部地面数据采用脉冲荧光法SO2 分析仪原理基于SO2 分子吸收一定波长的UV 光(hν1)后,形成激发态的SO2*,然后激发态SO2*从激发态跃回基态时可发射出另一波长的紫外光(hν2):即SO2 + hν1→SO2*→SO2 + hν2。43C 型SO2分析仪最低检测限:0.5ppb ;零漂:小于1ppb /24h;跨漂:±1%/24h(满度值)响应时间:40s 110s 320s;精度:1ppb 。中国京津冀区域大气SO2质量浓度空间分布数据集(2015);(12个dat 格式文件),文件名中BHT为京津冀首字母缩写,SO2表示数据要素为二氧化硫,Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec为1-12月份缩写。文件包含2015年1月-12月均值0.25度网格分辨率的 SO2的平均浓度记录数据

This dataset was first generated by calculating monthly average values from hourly ground-level PM2.5, SO2 and O3 concentrations of prefecture-level cities published by the General Station of Environmental Monitoring, Ministry of Environmental Protection of China for the Beijing-Tianjin-Hebei region in 2015, followed by interpolation using the Kriging method (also known as spatial local interpolation). The ground-level SO2 monitoring data was collected using a pulsed fluorescence SO2 analyzer, which operates based on the principle that SO2 molecules absorb UV light of a specific wavelength (hν1) to form excited-state SO2*. When the excited SO2* returns to the ground state, it emits UV light of another wavelength (hν2), following the reaction: SO2 + hν1 → SO2* → SO2 + hν2. The specifications of the Model 43C SO2 analyzer are as follows: minimum detection limit of 0.5 ppb; zero drift of less than 1 ppb per 24 hours; span drift of ±1% per 24 hours (full scale); response times of 40s, 110s and 320s; and accuracy of 1 ppb. This is the Spatial Distribution Dataset of Atmospheric SO2 Mass Concentrations in the Beijing-Tianjin-Hebei Region, China (2015), which includes 12 files in DAT format. In the filenames, "BHT" is the acronym for Beijing-Tianjin-Hebei, "SO2" indicates that the data element is sulfur dioxide, and "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" are the abbreviations for January to December respectively. Each file contains average SO2 concentration records with a 0.25-degree grid resolution for the corresponding month from January to December 2015.
提供机构:
中国科学院大气物理研究所
创建时间:
2019-01-25
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