2010 Volume 16 Pages 289-294
This paper evaluates the influence of interpolating method of precipitation on runoff analysis in a heavy snow area using distributed snowmelt runoff model. We prepared three kinds of precipitation dataset as driving data for the runoff model: (1) precipitation dataset by interpolating AMeDAS precipitation data and considering altitudinal distribution of precipitation, (2) Radar-AMeDAS composite precipitation (RAP), and (3) precipitation dataset by combining dataset between AMeDAS and RAP.
As results of case study in the Yoneshiro River catchment, all of runoff analysis using three kinds of driving data showed underestimation of river discharge due to lack of precipitation. Moreover, sensitive analysis of altitudinal distribution of precipitation suggested that optimization of the altitudinal coefficient for the precipitation is effective to estimate the water budget during snowmelt season but cause the overestimation in high elevation area and underestimation in low elevation area.
