DocumentCode :
501148
Title :
GIS Based Analysis of Agro-climatic Divisions Scenarios in China
Author :
Shuai, Zhang ; Jinying, Zhao ; Linyi, Li
Author_Institution :
Center of Inf. Technol. in Agric., Shanghai Acad. of Agric. Sci., Shanghai, China
Volume :
2
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
311
Lastpage :
314
Abstract :
Global warming is one of the present research focus, and the climate change play an important role on agriculture. According to the historical meteorological data from meteorological stations, the temperature data from regional climate model prediction dataset which is provided by National Climate Center, and the agro-climatic divisions index which is suggested by State Meteorological Administration, the background characteristics and future change characteristics of agro-climatic divisions in China has been analyzed. The results show that under the condition of global warming, temperature has change slowly but shows an increasing trend, and it has increase obviously in 2100. The boundary of agro-climatic divisions has an obviously northward movement in the recent 30 years, but until 2100, most of the agro-climatic zone has north moved obviously.
Keywords :
agriculture; geographic information systems; global warming; meteorology; China; GIS based analysis; National Climate Center; State Meteorological Administration; agriculture; agro-climatic divisions index; climate change; global warming; historical meteorological data; regional climate model prediction dataset; temperature data; Agriculture; Geographic Information Systems; Global warming; Information analysis; Information technology; Meteorology; Ocean temperature; Predictive models; Sea surface; Strontium; GIS; agro-climatic divisions; global warming; scenarios;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.412
Filename :
5231185
Link To Document :
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