Font Size: a A A

The Study About Spatial And Temporal Distribution Characteristics Of CO2Column Concentration In China

Posted on:2014-01-09Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2180330425990961Subject:Surveying and Mapping project
Abstract/Summary:PDF Full Text Request
CO2accounted for the total atmosphere is less than0.05%. But it is a most important greenhouse gas in the atmosphere. Since the Industrial Revolution, the CO2in the atmosphere has increased by about35%. It had a tremendous impact on global ecology, environment, economy, politics and other fields, and it was strong focused by worldwide. Atmospheric CO2concentration in China is also growing continually, the change will lead to climate change, confusion of soil moisture conditions and uneven distribution of regional precipitation of our country, and will spread to the plant growth rhythm, vegetation distribution, as well as the changes of biological productivity. In consequence, based on the advantageous CO2satellite data, there is important significance to study the spatial and temporal distribution characteristics of Chinese regional CO2column concentration.In view of the hot issue of greenhouse gases and global climate change, this study aims to analyze the spatial and temporal distribution characteristics of near-surface and middle troposphere (500hpa) in China by using near-surface CO2column dataset retrieved from GOSAT during June2009to May2010and middle troposphere CO2column dataset retrieved from AIRS during2003to2011. The spatial and temporal distribution characteristics were analyzed using ArcGIS Geostatistical Analysis Method, combined with ground-based observation data of the Global Atmospheric Background Station Waliguan and auxiliary data including population density, total energy consumption (coal) and GDP of China Statistical Yearbook2012. At last, a three-dimensional visualization was achieved in ArcScene.The results showed that:(1) Atmospheric background CO2mean concentration of Waliguan had a seasonal cycle fluctuation between2003and2011. It was displayed as a linear growth trend with big variations year by year. Monthly average concentration of these years rose to the highest in April (spring) and dropped to the lowest in August (summer) throughout the year.(2) GOSAT data reflected that the spatial distribution of Chinese regional near-surface (975hpa) CO2column concentration showed a high east to low west characteristics totally during June2009to May2010.The high value concentrated in the northern region between110°E to125°E, and it had obvious seasonal variations, and it rose to the highest in April (spring) and descended to the minimum in July (summer).(3) AIRS data reflected that the spatial distribution of Chinese regional middle troposphere (500hpa) CO2column concentration showed a high north to low south characteristics totally during2003to2011. High-value areas concentrated in the northern regions of35°-45°N, and it had obvious seasonal variations, and it rose to the highest value in May (spring) and fell to the lowest value in September. The minimum value lagged behind the background observations.(4) Atmospheric CO2distribution is Unbalanced, is not the same height as the same concentration, the same quarter as the same concentration. It is different from "Greenhouse Effect", but it is displayed as "Dome Cloud Distribution" in the area, and it is displayed as "Smoked Ball Distribution" in the world. Then it forms "Smoked ball effect", the causes are many and varied.
Keywords/Search Tags:CO2column concentration, GOSAT, AIRS, spatial and temporaldistribution, China
PDF Full Text Request
Related items