AN ATTEMPT TO REDUCE ESTIMATION ERROR VARIANCE BY ASSUMING THE SCALE LAW IN DEPTH-DURATION-FREQUENCY RELATIONSHIP

Abstract

 Scale law is an important concept to comprehend the physical phenomena of nature, whose applicability has also examined to the depth-duration-frequency relationship in the hydrological research. In the frequency analysis of extreme precipitation, the large amount of estimation error is inevitable by extrapolation against the return period to be employed for the design of flood disaster prevention. We propose a new system of the embedded frequency analysis with scale law, and demonstarate the effectiveness of estimation error reduction and the validity of application of the scale law through the model-selections by a rainfall dataset of Daru island, Papua New Guinea.