Differential Hydrological Grey Model (DHGM) with self-memory function and its application to flood forecasting

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	Differential Hydrological Grey Model (DHGM) with self-memory function and its application to flood forecasting
	Xia Jun
	2009
关键词	Curve fitting Hydraulic models Recursive functions Solute transport Speed control
英文摘要	This paper addresses a problem of flood forecasting with the self-memory function. Considering flood forecasting's uncertainty and updating demand, a hybrid hydrological model, namely Differential Hydrological Grey Model with self-memory function (DHGM-SM), is developed. The model has two fold features. One is to establish a self-memorization equation linked with DHGM, that could extract useful information from past data series and realize updating of hydrological dynamic process. The other is that this model has higher efficiency relative to original hydrological model without self-memory function. This approach was applied to river flow forecasting of two representative basins in Tunxi of South China and Daqinggou of North China. It is shown that this hybrid method has satisfactory forecasting accuracy by examination of both calibration and validation. © 2009 Science in China Press and Springer-Verlag GmbH.
出处	Science in China, Series E: Technological Sciences
卷	52 期:4 页:1039-1049
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24986]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Xia Jun. Differential Hydrological Grey Model (DHGM) with self-memory function and its application to flood forecasting. 2009.