Two main sources of data, meteorological data and land surface characteristics, are essential to effectively run a distributed rainfall-runoff model. The specification and averaging of the land surface characteristics in a suitable way is crucial to obtaining accurate runoff output. Recent advances in remote sensing techniques are often being used to derive better representations of these land surface characteristics. Due to the mismatch in scale between digital land cover maps and numerical grid sizes, issues related to upscaling or downscaling occur regularly. A specific method is typically selected to average and represent the land surface characteristics. This paper examines the amount of flooding by applying the FLO-2D routing model, where vegetation heterogeneity is manipulated using the Manning’s roughness coefficient. Three different upscaling methods, arithmetic, dominant, and aggregation, were tested. To investigate further, the rainfall-runoff model with FLO-2D was facilitated in Yongdam catchment and heavy rainfall events during wet season were selected. The results show aggregation method provides better results, in terms of the amount of peak flow and the relative time taken to achieve it. These rwsults suggest that the aggregation method, which is a reasonably realistic description of area-averaged vegetation nature and characteristics, is more likely to occur in reality.

강우-유출모형에 의해서 유역내 강우로부터 직접 유출량을 산출하는 것은 홍수량 예측에 기초가 된다. 직접 유출량은 강우-유출모형에 의해서 초과우량 또는 유효우량으로부터 산출된다. 시간별 초과우량은 시간별 총 강우에서 강우의 손실량을 제하여 산출한다. 이 손실량은 강우-유출모형 내 여러 손실 중에 비중이 큰 침투 손실량과 같도록 취급할 수 있다. 여기서 초과우량 또는 유효우량 산출을 위해서 실용적으로 간편한 지수법, W지수법 또는 이의 수정법이 적용되어 왔