DocumentCode :
1991501
Title :
Using methane dynamic model to estimate methane emission from natural wetlands in China
Author :
Xu, Kai ; Kong, Chunfang ; Liu, Junqi ; Wu, Yong
Author_Institution :
Sch. of Comput., China Univ. of Geosci., Wuhan, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Natural wetlands are the largest land-based natural sources for methane (CH4) emissions. China´s natural wetland area accounts for about 4% of the area of the natural wetlands worldwide. Based on the data of global lakes and wetlands, in this study we conducted modeling work of CH4 emissions from natural wetlands in China by using terrestrial ecosystem model (TEM) of the 1995-2005. The results show that China´s terrestrial natural wetland based CH4 emission is 7.48Tg/a, which is mainly distributed in the Qinghai-Tibet Plateau and in northwest region of China accounting for 68% of the emissions nationwide. Lake wetlands, marsh/floodplains and seasonal wetland are the major three types of wetlands are the major sources of CH4 emissions in China, accounting for 65% of total emissions. Monthly simulations of CH4 emissions from 1995-2005 show that regional maximum on CH4 emissions are closely related to soil temperatures and in the period of June, July and August, of which the emission maximum is in July. These simulation based estimates will be of great importance to China´s climate change and greenhouse gas control study.
Keywords :
climatology; ecology; geochemistry; geophysical techniques; lakes; land surface temperature; organic compounds; terrestrial heat; AD 1995 to 2005; China; Qinghai-Tibet Plateau; climate change; greenhouse gas control study; lake wetlands; methane dynamic model; methane emission; natural wetlands; soil temperatures; terrestrial ecosystem model; Atmospheric modeling; Biological system modeling; Data models; Ecosystems; Lakes; Rivers; Soil; greenhouse gas; methane; natural wetland; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2010 18th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7301-4
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2010.5567492
Filename :
5567492
Link To Document :
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