The rise in greenhouse gas concentrations has been identified as a primary driver of global warming, leading to adverse effects such as rising sea levels and droughts. In response, understanding the dynamics of greenhouse gas concentration changes has become pivotal in the quest to effectively combat climate change and mitigate the adverse effects of global warming. This study utilizes data from the GOSAT satellite to analyze the trends in global CO2 and CH4 concentrations from 2010 to 2022. Furthermore, the time series and seasonal variation characteristics of greenhouse gas concentrations of CO2 and CH4 in the Hefei area were studied, combined with the geographical environment of Hefei. To enhance comprehension, the article also assembles an HYSPLIT backward trajectory model to scrutinize the latent influences exerted by monsoon transport and atmospheric boundary layer conditions on greenhouse gas distributions. Over the course of the decade from 2010 to 2022, greenhouse gas concentrations in the Hefei region exhibited an unwavering upward trajectory, punctuated by conspicuous seasonal fluctuations, showcasing distinct seasonal variations that aligned with the observations of the ground-based observation network TCCON. The concentrations of CO2 surged from 391.05 ppm to 417.98ppm, signifying a net gain of 26.930ppm, corresponding to an annual growth rate of approximately 2.4 ppm. Similarly, CH4 concentrations underwent a net increase of 72 ppb, characterizing an annual growth rate of about 10.4 ppb. These figures underscore the relentless ascent of greenhouse gas concentrations, warranting immediate attention and action. The concentrations of greenhouse gases are subjected to a plethora of factors, encompassing both local biogenic and non-biogenic sources, the intricate patterns of monsoon-driven atmospheric transport, and the unique characteristics of the atmospheric boundary layer. The findings emanating from this comprehensive study are poised to serve as the bedrock upon which Hefei City can formulate and refine its strategies for greenhouse gas emission reduction. Furthermore, the study emphasizes the impact of monsoon transport patterns and atmospheric boundary layer conditions, which can significantly affect the dispersion and accumulation of greenhouse gases in the region. Understanding these factors is crucial for devising effective strategies to mitigate greenhouse gas emissions.
The increase of greenhouse gas concentration is the most important factor leading to global warming, and the accuracy of carbon dioxide column concentration is required to be better than 0.25% in the total carbon column observation network. As the prior value of inversion model, the influence of prior profile on inversion accuracy needs to be further clarified. Based on Observation of the column-averaged dry air mole fractions of carbon dioxide in Hefei, the sensitivity of temperature profile, pressure profile and CO2 molecular profile to the column-averaged dry air mole fractions retrieval was analyzed. The main results are as follows: The temperature and pressure profiles have significant influence on the inversion results, the relative deviation of retrieving CO2 column concentration from the temperature and pressure profiles of 1976 US standard atmosphere and NCEP is 3.8%, and the maximum absolute deviation between them is 14ppm; The shift of the prior CO2 profile has no effect on the inversion accuracy. However, the change of the profile shape has a significant effect on the inversion accuracy. Therefore, using real-time temperature and pressure profiles and accurate gas prior profiles can improve the retrieval accuracy of greenhouse gas CO2 column concentration. These results provide a theoretical basis for the inversion of greenhouse gas column concentration in China.
A ground-based Fourier transform spectrometer has been established in Hefei, China to remotely measure H2O, CO2, CH4 and CO based on near-infrared solar spectra. The continuously retrieved time series of total column results for H2O, CO2, CH4 and CO are presented on April 2nd, 2018. The observation results show the variation of total column of CO2, CH4 and CO. The total columns of H2O, CO2, CH4 and CO are 1.35×10 23, 8.91×1011, 4.08×10 19 and 4.09×10 18 molecules/cm2, respectively. In order to reduce the systematic error of the instrument, we also calculate the column-averaged dry air mole fraction by the oxygen molecule as the internal standard. The column-averaged dry air mole fraction of H2O, CO2, CH4 and CO are 5289.43, 415.04, 1.907 and 0.178ppm, respectively. Furthermore, we analyze the atmospheric transmittance by using MODTRAN 5.0 based on the retrieved results. The comparison results show that the atmospheric transmittance has gaps in the absorption band
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.