Research data supporting "Improving NOX emissions in Beijing using network observations and a novel perturbed emissions ensemble"
Authors
Beijing Municipal Ecological and Environmental Monitoring Center
Wang, Xiaolei
Publication Date
2022-06-07Type
Dataset
Metadata
Show full item recordCitation
Beijing Municipal Ecological and Environmental Monitoring Center, & Wang, X. (2022). Research data supporting "Improving NOX emissions in Beijing using network observations and a novel perturbed emissions ensemble" [Dataset]. https://doi.org/10.17863/CAM.85111
Description
This dataset contains hourly and 24-hour mean concentrations of CO, NO2, O3, SO2, PM2.5 and PM10 in 2016 in Beijing, China, from 35 air quality monitoring stations operated by the Beijing Municipal Ecological and Environmental Monitoring Center (BJMEMC).The BJMEMC publishes real-time air quality data on its website (https://air.cnemc.cn:18007), but does not allow assess to historical data. The provisional real-time data is archived and made publicly available by Xiaolei Wang at https://quotsoft.net/air/. However, both the repository and the data are in Chinese. This dataset contains data which are fetched from the repository, translated into English and reformatted into a single spreadsheet. Meta information including the Chinese names and spatial coordinates of the monitoring stations is also provided.
Format
The programming language R was used in processing this dataset.
Keywords
Air quality, Monitoring data, Beijing, China
Relationships
Related research output: https://doi.org/10.5194/acp-2022-161
Publication Reference: https://doi.org/10.5194/acp-2022-161
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.85111
Rights
CC0
Statistics
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