Analysis of Atmospheric CO2 and CO at Akedala Atmospheric Background Observation Station, a Regional Station in Northwestern China

Abstract

Air samples were collected by flasks and analyzed via a Picarro G2401 gas analyzer for carbon dioxide (CO2) and carbon monoxide (CO) at the Akedala Atmospheric Background Station in Xinjiang, China, from September 2009 to December 2019, to analyze the changes in the characteristics of atmospheric CO2 and CO and determine the sources. The results show that the annual average CO2 concentration showed an increasing trend (growth rate: 1.90 ppm year−1), ranging from 389.80 to 410.43 ppm, and the annual average CO concentration also showed an increasing trend (growth rate: 1.78 ppb year−1), ranging from 136.30 to 189.82 ppb. The CO2 concentration and growth rate were the highest in winter, followed by autumn, spring, and summer. The CO concentration and growth rate were also the highest in winter due to anthropogenic emissions, ecosystem effects, and diffusion conditions. The main trajectories of CO2 and CO determined by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model were parallel to the Irtysh River valley and then passed through the Old Wind Pass. Furthermore, the main source regions of CO2 and CO at the Akedala Station were eastern Kazakhstan, southern Russia, western Mongolia, and the Xinjiang Tianshan North Slope Economic Zone of China. This study reflects the characteristics of long-term changes in CO2 and CO concentrations at the Akedala station and provides fundamental data for the studies on environmental changes and climate change in Central Asia.

Analysis of nighttime aerosols and relation to covariates over a highly polluted sub‐Saharan site using Mann–Kendall and wavelet coherence approach

“…Moreover, an upsurge in anthropogenic activities, diffusion activities, and ecosystem effects also increases CO emissions (Z. Zhao et al, 2022). Wavelet spectra of AOD with RH and temperature show that high RH may cause higher precipitation that moved or washed out aerosols from the atmosphere.…”

“…Various factors like the incomplete combustion of carbonaceous fuels, that is, natural gas, wood, coal, and petroleum products for cooking and heating, fireplaces, leaking chimneys and furnaces, and unvented paraffin space heaters contribute to increased CO emissions (Hazrati et al., 2015). Moreover, an upsurge in anthropogenic activities, diffusion activities, and ecosystem effects also increases CO emissions (Z. Zhao et al., 2022). Wavelet spectra of AOD with RH and temperature show that high RH may cause higher precipitation that moved or washed out aerosols from the atmosphere.…”