成都理工大学学报（自然科学版）2008，Vol.35Issue(1)：68-73,6.
Rainfall-runoff modeling for storm events in a coastal forest catchment using neural networks
Rainfall-runoff modeling for storm events in a coastal forest catchment using neural networks
WANG Yi 1HE Bin1
作者信息
- 1. United Graduate School of Agricultural Sciences, Ehime University, Japan
- 折叠
摘要
Abstract
The process of transformation of rainfall into runoff over a catchment is very complex and highly nonlinear and exhibits both temporal and spatial variabilities. In this article, a rainfall-runoff model using the artificial neural networks (ANN) is proposed for simulating the runoff in storm events. The study uses the data from a coastal forest catchmentlocated in Seto Inland Sea, Japan. This article studies the accuracy of the short-term rainfall forecast obtained by ANN time-series analysis techniques and using antecedent rainfall depths and stream flow as the input information. The verification results from the proposed model indicate that the approach of ANN rainfall-runoff model presented in this paper shows a reasonable agreement in rainfall-runoff modeling with high accuracy.关键词
rainfall-runoff model/ storm event/ forest/ neural networkKey words
rainfall-runoff model/ storm event/ forest/ neural network分类
天文与地球科学引用本文复制引用
WANG Yi,HE Bin..Rainfall-runoff modeling for storm events in a coastal forest catchment using neural networks[J].成都理工大学学报（自然科学版）,2008,35(1):68-73,6.
