เครือมาศ สมัครการ. Estimating Methane Emissions from Rice Fields using Emission Factor and a Geographical Information System. Master's Degree(Environmental Technology). King Mongkut's University Technology Thonburi. Library. : King Mongkut's University of Technology Thonburi, 1999.
Estimating Methane Emissions from Rice Fields using Emission Factor and a Geographical Information System
Abstract:
In order to reduce the environmental impact from global climate change and to control greenhouse gases released, it is important to obtain accurate estimates of emissions. This study estimated methane emission from rice fields using emission factors and scaling factors for Thai rice fields, in combination with a geographical information system (GIS). An estimate was obtained by using a GIS overlay technique, whereby scaling factor for rice ecosystems were overlaid on a map of rice growing areas and summarized by province.The standard emission rate from Thai rice fields estimated from this study was 23.236 g/m2/season. The scaling factors were 0.369 for lowland irrigated(multiple aeration) ecosystems, 1.548 for rainfed ecosystems (flood prone) and 0.577 for deep water ecosystems.This study calculated methane errussrons used 3 different assumptions in order to generate minimum, median, and maximum estimates. Total estimatedemission based on crop year 1998 were 0.459, 1.877, and 4.152 Tg, respectively. The average emission rate for whole country was 2.695, 12.811, and 28.619 g1m2/year using the minimum, median, and maximum assumptions, respectively. These estimates were at the lower end of the range of previous estimates (0.45 to 75?Tglyear).The accuracy of this model depended upon the available data. More research in rainfed ecosystems will be important for increasing the accuracy of scaling factor because most rice growing areas of Thailand were rainfed (over 70 % of total). The location of different rice ecosystems (wet and dry season) and details about organic amendment application in the field are also needed. Field research with other soil types would also improve the accuracy scaling factors (> 32 % of the soil coverage had no available estimates).Finally, greater integration or cooperation is needed between government agencies supplying digital and traditional forms of data to insure that GIS-basedmodels can be used to their full potential.
King Mongkut's University Technology Thonburi. Library