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Risk Assessment of Drought for Regional Upland Soil According to RCP8.5 Scenario Using Soil Moisture Evaluation Model (AFKE 0.5)

  • Seo, Myung-Chul (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA) ;
  • Cho, Hyeon-Suk (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA) ;
  • Seong, Ki-Yeong (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA) ;
  • Kim, Min-Tae (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA) ;
  • Park, Tae-Seon (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA) ;
  • Kang, Hang-Won (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA) ;
  • Shin, Kook-Sik (Crop Environment Research Division, National Institute of Crop Science (NICS), RDA)
  • Received : 2013.11.04
  • Accepted : 2013.11.13
  • Published : 2013.12.31

Abstract

In order to evaluate drought risk at upland according to climate change scenario (RCP8.5), we have carried out the simulation using agricultural water balance estimation model, called AFKAE0.5, at 66 weather station sites in 2020, 2046, 2050, 2084, and 2090. Total Drought Risk Index between the first month (f) and last month (l) (TDRI(f/l)) and maximum continuous drought risk index (MCDRI(f/l)) were defined as the index for analyzing pattern and strength of drought simulated by the model. Based on distribution maps of MCDRI (1/12), drought strength was predicted to be most severe in 2084 for all regions. Some regions showed severe risk of drought meaning over 20 days of MCDRI (1/12) in the other years, while MCDRI (1/12) in other regions did not reach 5 days. Even though maximum value of TDRI (1/12) in 2090 was greater than in 2050, more severe drought risk in 2050 than in 2090 was predicted based on MCDRI (4/6). It implies that drought risk should be assessed for each crop with its own growing season.

Keywords

References

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