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KMID : 1024520100190030295
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Journal of the Environmental Sciences
2010 Volume.19 No. 3 p.295 ~ p.304
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Influence of Land Use and Meteorological Factors for Evapotranspiration Estimation in the Coastal Urban Area
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Yang Sung-Il
Kang Dong-Hwan
Kwon Byung-Hyuk
Kim Byung-Woo
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Abstract
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Actual evapotranspiration (AET) in the Suyeong-gu was estimated and correlations between AET and meteorological factors were analyzed. The study area was Suyeong-gu lay at the east longitude 129° 05′40″～ 129° 08′08″ and north latitude 35° 07′59″～ 35° 11′01″. The Kumryun mountain, the Bae mountain, the Suyeong river and the Suyeong bay are located on west, north, northeaster and south side in the study area, respectively. AET was estimated using precipitation (P), potential evapotranspiration (PET) and plant-available water coefficient. Meteorological factors to estimate PET were air temperature, dewpoint temperature, atmospheric pressure, duration of sunshine and mean wind speed (MWS). PET and AET were estimated by a method of Allen et al. (1998) and Zhang et al. (2001), respectively. PET was the highest value (564.45 mm/yr) in 2002 year, while it was the lowest value (449.95 mm/yr) in 2003 year. AET was estimated highest value (554.14 mm/yr) in 2002 year and lowest value (427.91 mm/yr) in 2003 year. Variations of PET and AET were similar. The linear regression function of AET as PET using monthly data was and coefficient of determination was high, 0.75. In order to analyze relationship between the evapotranspiration and meteorological factors, correlation analysis using monthly data were accomplished. Correlation coefficient of AET-PET was 0.96 high, but they of AET-P and PET-P were very low. Correlation coefficients of AET-MWS and PET-MWS were 0.67 and 0.73, respectively. Thus, correlation between evapotranspiration and MWS was the highest among meteorological factors in Suyong-gu. This means that meteorological factor to powerfully effect for the variation of evapotranspiration was MWS. The linear regression function of AET as MWS was and coefficient of determination was 0.54. The linear regression function of PET as MWS was and coefficient of determination was 0.45.
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KEYWORD
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Actual evapotranspiration, Potential evapotranspiration, Land use, Meteorological factor
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