102122 Classification of Agroclimatic Zones Using K-Mean Cluster Analysis Method.

Poster Number 321-611

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling Poster

Tuesday, November 8, 2016
Phoenix Convention Center North, Exhibit Hall CDE

Yongseok Kim, 508Ho, National Institute of Agricultural Sciences, Wanju-gun, Jeollabuk-do, REPUBLIC OF KOREA, Kyo-Moon Shim, National Institute of Agricultural Science, Wanju, REPUBLIC OF KOREA, Myung-Pyo Jung, National Institute of Agricultural Sciences, Wanju-gun, South Korea, In-Tae Choi, National Academy of Agricultural Science, Suwon, South Korea and Kee Kyung Kang, National Institute of Agricultural Sciences, Wanju-gun, Korea, The Republic of
Abstract:
This study was conducted to classify agroclimatic zones in South Korea. To classify the agroclimatic zones, such climatic factors as amount of rainfall from April to May, amount of rainfall in October, monthly mean air temperature in January, monthly mean air temperature from April to May, monthly mean air temperature from April to September, monthly mean air temperature from December to March, monthly minimum air temperature in January, monthly minimum air temperature from April to May, Warmth Index were considered as major influencing factors on the crop growth. Climatic factors were computed from monthly air temperature and precipitation of climatological normal year (1981-2010) at 1km grid cell estimated from a geospatial climate interpolation method. The agroclimatic zones using K-mean Cluster Analysis Method were classified into 6 zones.

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling Poster