Shumin Wang1, Lingyun Zhu This email address is being protected from spambots. You need JavaScript enabled to view it.1, Shiming Yan1, Ying Li1, Wenya Wang1, Xing’ai Gao1, Zhiqiang Ma2, Peng Liu3, Miao Liang4

1 Shanxi Province Institute of Meteorological Sciences, Taiyuan 030002, China
2 Beijing Shangdianzi Regional Atmosphere Watch Station, Beijing 101500, China
3 Qinghai Meteorological Bureau, China Atmospheric Background Reference Observatory, Xining 810001, China
4 Meteorological Observation Centre (MOC), China Meteorological Administration (CMA), Beijing 100081, China


 

Received: January 18, 2020
Revised: May 28, 2020
Accepted: May 30, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.2020.01.0026  

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Cite this article:

Wang, S., Zhu, L., Yan, S., Li, Y., Wang, W., Gao, S., Ma, Z., Liu, P. and Liang, M. (2020). Atmospheric CO2 Data Filtering Method and Characteristics of the Mole Fractions at Wutaishan Station in Shanxi of China. Aerosol Air Qual. Res. https://doi.org/10.4209/aaqr.2020.01.0026

 


HIGHLIGHTS 

  • The first-hand data help the authorities to implement climate policy.
  • The data filtering method combining REBS and MET is used.
  • The results represent the background concentration in Shanxi and the surroundings.
 

ABSTRACT


Wutaishan (WTS) Station on Wutai Mountain (2208 m a.s.l.), which is also known as the “North China Roof,” in Shanxi Province, is surrounded by lush forest vegetation and situated far (30 km) from industrial emission sources. This study filtered online observation data of the atmospheric CO2 (G2301; Picarro) at WTS Station from March 2017 till February 2018 using both robust extraction of the baseline signal (REBS), and meteorological data (MET) in order to obtain the average background concentration, which is representative of the region (Shanxi Province and the surrounding areas). The background concentration of CO2 averaged (410.9 ± 6.4) × 10–6 (mole ratio, the same below), and the daily variation ranged from 2.4 × 10–6 to 4.8 × 10–6, which is relatively low, across the four seasons. The concentration and the surface wind speed displayed negative correlations during spring and winter, with R being –0.44 and –0.46, respectively. Analyzing the backward trajectories, we concluded that wind from the SE–S–SW sector noticeably increased the local CO2 concentration by transporting from high altitudes (i.e., high air masses) or along the surface.


Keywords: Carbon dioxide; Regional representative; Observation data selection; Backward trajectory.



Aerosol Air Qual. Res. 20 :-. https://doi.org/10.4209/aaqr.2020.01.0026  


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