• 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