Applicability of the Long- and Short-Term Runoff Model in a Small Mountainous Bsin - Collections

＜departmental bulletin paper＞
Applicability of the Long- and Short-Term Runoff Model in a Small Mountainous Bsin

Creator	Creator Name 浦野, 浩一 Urano, Kouichi ウラノ, コウイチ Affiliation Affiliation Name 九州大学大学院生物資源環境科学府 Department of Bioproduction Environmental Sciences,Graduate School of Bioresoruce and Bioenvironmental Sciences,Kyushu University
	Creator Name 四ヶ所, 四男美 Shikasho, Shiomi シカショ, シオミ Affiliation Affiliation Name 九州大学名誉教授 Professor Emeritus,Kyushu University
	Author PID K001582 Creator Name 平松, 和昭 Hiramatsu, Kazuaki ヒラマツ, カズアキ Affiliation Affiliation Name 九州大学大学院農学研究院 Faculty of Agriculture, Kyushu University
	Author PID K001643 Creator Name 森, 牧人 Mori, Makito モリ, マキト Affiliation Affiliation Name 九州大学大学院農学研究院 Faculty of Agriculture, Kyushu University
Language	Japanese
Publisher	九州大学大学院農学研究院
Publisher	Faculty of Agriculture, Kyushu University
Date	2005-10-01
Source Title	Science bulletin of the Faculty of Agriculture, Kyushu University
Vol	60
Issue	2
First Page	165
Last Page	172
Publication Type	Version of Record
Access Rights	open access
JaLC DOI	https://doi.org/10.15017/4360

File	FileType	Size	Views	Description
p165	pdf	452 KB	517

PISSN	1347-0159
NCID	AA11577672
Record ID	4360
Peer-Reviewed	Unrefereed
Notes	The long- and short-term runoff model is one of the valuable runoff analysis in moutainous basins. This model contains advantages in each of the long-term and flood runoff models. In other words, it has characteristics that calucurate effective rainfall inside it and analyze both flood and long-term runoff successively. In this paper, the long- ans short-term runoff model was applied to runoff analysis in the Ochozu study basin of 0.095 km2 and applicability of it to the small mountainous basin. Characteristics between it and TOPMODEL were discussed through the prediction accuracy of river discharge. Tourteen unknown parameters in the model were identified using a simple genetic algorithm (SGA) with the fitness function defined by a x2 error between observed and caluclated river discharges. The results indicated that the SGA-optimized the long- and short-term runoff model and could successfully predict the river discharge in rainy season.
Type	紀要論文
Created Date	2009.04.22
Modified Date	2022.11.11