Abstract
본 연구는 농촌소유역(1.21 <TEX>$km^2$</TEX>)에서 다양한 공간입력자료의 해상도가 SWAT(Soil and Water Assessment Tool) 모형의 수문-수질 모의결과에 미치는 영향을 분석하고자 Case A(2 m DEM, QucikBird 토지이용도, 1/25,000 토양도), Case B(10 m DEM, 1/25,000 토지이용도, 1/25,000 토양도), Case C(30 m DEM, Landsat 토지이용도, 1/25,000 토양도)에 해당하는 해상도별 공간입력자료를 구축하였다. 모형의 적용성 평가는 경안천유역(255.44 <TEX>$km^2$</TEX>) 출구점에서 일별 유출량 및 월별 수질자료를 이용하여 보정(<TEX>$1999{\sim}2000$</TEX>)하였으며, <TEX>$2001{\sim}2002$</TEX>년 자료를 이용하여 검증하였다. 유출량에 대한 Nash-Sutcliffe 모형효율은 평균 0.59의 결과를 얻었으며, Sediment, T-N, T-P 부하량은 각각 2.08, 4.30, 0.70 tons/yr의 RMSE 오차로 검보정되었다. 농촌소유역을 대상으로 다양한 공간자료(Case A, B, C)를 적용하여 수문, 수질모의를 실시한 결과, 유출량은 토지이용도 해상도에 의한 모의결과의 불확실성이 가장 큰 것으로 분석되었다. QuickBird 토지이용도의 유역평균 CN값이 1/25,000과 Landsat 토지이용에 비해 0.4, 1.8 더 크게 분석됨으로서 총유출량도 증가하였다. 한편, 유사량과 영영물질 오염부하량에 대한 수질모의 결과는 QuickBird(Case A) 토지이용도의 유사량 및 T-N, T-P 부하량이 1/25,000(Case B) 토지이용도에 비해 23.7 %, 43.3 %, 48.4 %, Landsat(Case C) 토지이용도에 비해 50.6 %, 50.8 %, 56.9 % 높게 평가되는 것으로 분석되었다. This study is to evaluate the impact of varying spatial resolutions on the uncertainty of Soil and Water Assessment Tool (SWAT) predicted streamflow, non-point source (NPS) pollution loads transport in a small agricultural watershed (1.21 <TEX>$km^2$</TEX>) for three cases of model input; Case A is the combination of 2 m DEM, QuickBird land use, Case B is the combination of 10 m DEM, 1/25,000 land use, and Case C is the combination of 30 m DEM, Landsat land use, soil data is used 1/25,000 for three cases respectively. The model was calibrated for 2 years (1999-2000) using daily streamflow and monthly water quality records, and verified for another 2 years (2001-2002). The average Nash and Sutcliffe model efficiency was 0.59 for streamflow and RMSE were 2.08, 4.30 and 0.70 tons/yr for sediment, T-N and T-P respectively. The model was run for a small agricultural watershed with three cases of spatial input data. The hydrological results showed that output uncertainty was biggest by spatial resolution of land use. Streamflow increase the watershed average CN value of QucikBird land use was 0.4 and 1.8 higher than those of 1/25,000 and Landsat land use caused increase of streamflow. On the other hand, The NPS loadings from the model prediction showed that the sediment, T-N and T-P of QuickBird land use (Case A) showed 23.7 %, 43.3 % and 48.4 % higher value than 1/25,000 land use (Case B) and 50.6 %, 50.8 % and 56.9 % higher value than Landsat land use (Case C) respectively.
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