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学科主题: Engineering ; Civil; Geosciences ; Multidisciplinary; Water Resources
题名: A non-linear perturbation model considering catchment wetness and its application in river flow forecasting
作者: J. Xia ; K.M. O'Connor ; R.K. Kachroo ; G.C. Liang
通讯作者: Xia, J, Wuhan Univ Hydraul & Elect Engn, Inst Hydrol & Water Environm Sci, Wuhan, Peoples R China
关键词: non-linear perturbation model ; catchment wetness ; antecedent precipitation index (API) ; river flow forecasting
刊名: JOURNAL OF HYDROLOGY
发表日期: 1997
卷: 200, 期:1-4, 页:164-178
收录类别: SCI
部门归属: Wuhan Univ Hydraul & Elect Engn, Inst Hydrol & Water Environm Sci, Wuhan, Peoples R China; Univ Coll Galway, Dept Engn Hydrol, Galway, Ireland
摘要: A non-linear perturbation model for river flow forecasting is developed, based on consideration of catchment wetness using an antecedent precipitation index (API). Catchment seasonality, of the form accounted for in the linear perturbation model (the LPM), and non-linear behaviour both in the runoff generation mechanism and in the flow routing processes are represented by a constrained nan-linear model, the NLPM-API. A total of ten catchments, across a range of climatic conditions and catchment area magnitudes, located in China and in other countries, were selected for testing daily rainfall-runoff forecasting with this model. It was found that the NLPM-API model was significantly more efficient than the original linear perturbation model (the LPM). However, restric tion of explicit nan-linearity to the runoff generation process, in the simpler LPM-API form of the model, did not produce a significantly lower value of the efficiency in flood forecasting, in terms of the model efficiency index R-2. (C) 1997 Elsevier Science B.V.
语种: 英语 ; 英语
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/152342/10242
Appears in Collections:中科院水生所知识产出(2009年前)_期刊论文

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J. Xia; K.M. O'Connor; R.K. Kachroo; G.C. Liang.A non-linear perturbation model considering catchment wetness and its application in river flow forecasting,JOURNAL OF HYDROLOGY,1997,200(1-4):164-178
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