水资源与水工程学报Issue(2)：26-31,39,7.DOI:10.11705/j.issn.1672-643X.2015.02.06
基于支持向量机（SVM）的祁连山典型小流域日降水－径流模拟研究
Simulation of daily rainfall-ru noff in a small typical catchment of Qilian mountains based on support vectro machine
摘要
Abstract
To predict daily runoff timely and accurately plays an important role in the reasonable plan -ning,utilization and management of water resources .This paper built daily rainfallr-unoff model to predict daily runoff for seven days in Pailugou catchment in a typical catchment of Qilian mountains based on support vector machine(SVM).In order to test the validity of the developed model ,it compared the re-sults between SVM model and traditional artificial neural network ( ANN)model in terms of different eval-uation criteria during validation period .Results showed that both SVM and ANN presents very high preci-sion and SVM model performed better than ANN model .The SVM model may be considered as an effec-tive tool to establish a medium and long-term daily runoff forecast model in semiarid mountain regions un-der limited data condition .关键词
小流域/日降水-径流模拟/日径流量/支持向量机/祁连山Key words
small catchment/daily rainfall-runoff simulation/daily runoff/support vector machine/Qil-ian mountains分类
天文与地球科学引用本文复制引用
于海姣,温小虎,冯起,何志斌..基于支持向量机（SVM）的祁连山典型小流域日降水－径流模拟研究[J].水资源与水工程学报,2015,(2):26-31,39,7.基金项目
国家自然科学基金项目（41271524、31370466）；国家科技支撑项目 （）
