Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.
KMID : 1024520200290010025
Journal of the Environmental Sciences
2020 Volume.29 No. 1 p.25 ~ p.32
Impact of Representative SCS-CN on Simulated Rainfall Runoff Hyeong-keun
Lee Hyeong-Keun

Choi Yeong-Seon
Lee Khil-Ha
Abstract
The determination of soil parameters is important in predicting the simulated surface runoff using either a distributed or a lumped rainfall-runoff model. Soil characteristics can be collected using remote sensing techniques and represented as a digital map. There is no universal agreement with respect to the determination of a representative parameter from a gridded digital map. Two representative methods, i.e., arithmetic and predominant, are introduced and applied to both FLO-2D and HEC-HMS to improve the model¡¯s accuracy. Both methods are implemented in the Yongdam catchment, and the results show that the former seems to be more accurate than the latter in the test site. This is attributed to the high conductivity of the dominant soil class, which is A type.
KEYWORD
Rainfall-runoff, FLO-2D, HEC-HMS, SCS-CN, Scaling effect
FullTexts / Linksout information
Listed journal information
ÇмúÁøÈïÀç´Ü(KCI)