본 연구에서는 하천 범람에 따른 도시지역 내 홍수흐름의 특성을 수치적으로 모의하고 이에 대한 결과를 분석하였다. 적용된 수치모형은 well-balanced HLLC 기법에 근간을 둔 2차원 유한체적모형이다. 대상영역은 경상남도 거제시에 위치한 고현천 주변의 도시지역으로 2003년 9월에 발생한 태풍 “매미” 기간 동안 집중호우로 인해 하천이 범람되어 피해가 발생되었다. 본 연구에서는 도시지역 내 범람에 대한 홍수흔적 자료를 이용하여 수치모형을 검증하였으며, 향후 발생 가능한 집중호우의 강도의 증가 또는 감소에 의한 유입량의 변화에 따른 도시지역 내에서의 홍수흐름의 특성에 대한 모의 및 분석을 수행하였다.

본 연구에서는 2차원 수치모형을 이용하여 폭풍해일고에 따른 해안도시지역 내에서의 범람모의 및 분석을 수행하였으며, 적용된 대상지역은 2003년 태풍 "매미" 내습 시 가장 피해가 컸던 지역인 경남 창원시 마산 합포구 신도시 지역 일부이다. 적용된 수치모형의 검증차원에서 태풍 "매미" 발생기간 동안 관측된 폭풍해일고 자료와 대상지역 내의 주요 지점에 대한 침수흔적 자료를 이용하여 비교 분석을 수행하였다. 또한 향후 발생 가능한 수퍼 태풍에 의한 영향을 분

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.