| In recent years, the increase in the proportion of greenhouse gases caused by climate warming has aroused widespread attention in the international community. This study in China on the northern margin of the Taklimakan Desert in Xinjiang flow desert- the ancient river bed transition zone in Xiaotang is the research target, use Xiao Tang weather station 20113 in October, 2012 August vortex dynamic observation system data, 10 m gradient detection data, released 2012 GOSAT data and 2013 Carbontracker of atmospheric CO2 concentration inversion data, spatial and temporal variation characteristics of atmospheric CO2 concentration of the Taklimakan Desert transition zone were analyzed, reached the following conclusions:1) Atmospheric CO2 concentration diurnal variation of the Taklimakan Desert in Xiaotang is obvious, "the law of unimodal type" changes. The highest value appears in the 12:30, the minimum value appears in the 07:30, the change range is 377.61 ~ 385.51 ppm, the average value is 382.19 ppm.2) There are some differences between Waliguan and Xiaotang in atmospheric CO2 concentration. Waliguan atmospheric CO2 concentration was significantly higher than that in Xiaotang, the highest value difference 5.47 ppm, minimum difference 22.44 ppm, average value difference of 13.85 ppm.3) From 1995 to 2005, the average change in the atmosphere of the local station Waliguan atmospheric CO2 concentrations on a continuous upward trend, ranged from 362.31 to 398.63 ppm, linear growth rate was 1.9%, from 1995 to 2014 the annual mean concentrations of CO2 rose 34.17 ppm. Waliguan atmospheric CO2 average concentration may change more obvious, the highest value appeared in April, the minimum value occurred in August, from January to April has continuous growth trend, from April to August with a downward trend, from August to December with growth trend. Waliguan atmospheric CO2 concentration has the characteristics of seasonal variation. CO2 concentrations in spring were higher than those in other seasons, the lowest in summer, and the concentration in winter was significantly higher than that in summer and autumn.4) 3m height atmospheric CO2 concentration and 0.5m、1m、2m、4m、10m the correlation coefficient R between different heights of air temperature were 0.946、0.956、0.959、0.962、0.957 respectively, the positive correlation between the two. 4m high air temperature and atmospheric CO2 concentration is the best, followed by 2m, 0.5m high air temperature and atmospheric CO2 concentration of the lowest correlation level. Air pressure and atmospheric CO2 concentration showed a negative correlation. The correlation coefficient R of the atmospheric CO2 concentration and the relative humidity is 0.974、0.972、0.970、0.967、0.954, respectively. The correlation of 3m height with CO2 concentration and 0.5m altitude is best, and the higher the degree of correlation is not good. The higher the altitude, the higher the wind speed, The wind speed during the day was significantly higher than that at nigh, with a peak value within one day. 00:00 ~ 3:00, atmospheric CO2 concentration and wind speed were positively correlated; 03:00 ~ 08:00, the two were negative correlation; 08:00 ~ 12:00, the two were positively correlated. 14:00 ~ 23:30, the change of wind speed on the atmospheric CO2 concentration basically does not play a role.5) there is a certain difference between the data of GOSAT inversion and the ground observation data of Xiao Tong station. Maximum difference between the values were 2.83ppm、0.13ppm、0.61ppm、2.02 ppm and 0.48 ppm, minimum value differences were 4.5ppm、3.4ppm、2.16ppm、2.39 ppm and 1.76 ppm, the differences between the mean values respectively for 3.82ppm、2.44ppm、0.52ppm、0.36 ppm and 1.28 ppm. According to data decomposition results show that the difference between the average of the two data is basically less than 4ppm.GOSAT inversion data can be used in Xiao Tang Area.6) GOSAT inversion of the data analysis results show that the atmospheric CO2 concentration is not only different in each month and each day there are relative differences within a month. January volatility change is obvious, in April the atmospheric CO2 concentration fluctuation range is very small but its average concentration is significantly higher than other months, July has a downward trend, in October with a gradual increase trend.7) GOSAT inversion of atmospheric CO2 concentration month average change has obvious characteristics of the month change. From January to February with an increasing trend, from February to May basically maintained a similar level of concentration, gradually decreased from May to August, in August reached the lowest level in a year, from August to October with a gradual increase trend.8) GOSAT inversion of atmospheric CO2 concentration has obvious seasonal variation characteristics, spring atmospheric CO2 concentration is the highest, followed by winter, the lowest is summer, autumn is slightly higher than the summer.9) The minimum, maximum and average values of the ground observation data and CarbonTracker inversion in the Xiao Tang area are more than 4ppm。... |
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