Analysis on Variation and Potential Source Regions of Greenhouse Gases Concentrations at Akedala Station, China
Abstract The research on the variation of greenhouse gases concentrations in typical regions is one of the significant tasks to cope with climate change. Especially at present, the number of extreme weather events is gradually increasing and the trend of global warming is becoming increasingly obvious, the study on variation of greenhouse gases concentrations and their potential source regions can contribute to a scientific formulation of policies regarding greenhouse gas emission reduction as well as to the coordinated development of human and environment. Based on the data of greenhouse gases of Akedala Station from 2009 to 2019, this research studies characteristics of the time series and seasonal trends of greenhouse gases at this station and testes whether abrupt change exists by applying the linear trend analysis method, the contrastive and statistical analysis method and Mann-Kendall method. In addition, Pearson Correlation Coefficient is used to determine the correlation and homology among the four greenhouse gases and backward trajectories model is also used to explore the potential source regions of greenhouse gases at Akedala Station in different seasons. The greenhouse gases concentrations at Akedala Station show a trend of year-on-year growth, with CO2 concentrations ranging from 389.80×10− 6 to 408.79×10− 6 (molar fraction of substances, same below), CH4 concentrations ranging from1890.07×10− 9 to 1976.32×10− 9, N20 concentrations ranging from 321.26×10− 9 to 332.03×10− 9, and SF6 concentrations ranging from 7.04×10− 12 to 10.07×10− 12, the growth rate of which is similar to the decadal average growth rate in the northern hemisphere. There exist obvious seasonal variations, with CO2 concentrations showing high in winter and low in summer and CH4 showing a distinct “W”- shaped trend while N20 and SF6 showing little difference between the four seasons. A relatively strong correlation and homology exist among the four greenhouse gases except in summer, and the analysis based on backward trajectories model shows that the Akedala Station is influenced by the airflow from northwest or southwest throughout the year. Besides, the concentrations of greenhouse gas are closely related to source region of the emissions, biological and non-biological sources, monsoon, and atmospheric photochemical processes.