Hydrological Processes

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An RBF‐based model with an information processor for forecasting hourly reservoir inflow during typhoons
Hydrological Processes - Tập 23 Số 25 - Trang 3598-3609 - 2009
Gwo‐Fong Lin, Ming‐Chang Wu, Guorong Chen, Fei‐Yu Tsai
AbstractInflow forecasting is essential for decision making on reservoir operation during typhoons. In this paper, a radial basis function (RBF)‐based model with an information processor is proposed for more accurate forecasts of hourly reservoir inflow. Firstly, based on the multilayer perceptron neural (MLP) network, an information processor is developed to pre‐p...... hiện toàn bộ
Time series forecasting by combining the radial basis function network and the self‐organizing map
Hydrological Processes - Tập 19 Số 10 - Trang 1925-1937 - 2005
Gwo‐Fong Lin, Lu‐Hsien Chen
AbstractBased on a combination of a radial basis function network (RBFN) and a self‐organizing map (SOM), a time‐series forecasting model is proposed. Traditionally, the positioning of the radial basis centres is a crucial problem for the RBFN. In the proposed model, an SOM is used to construct the two‐dimensional feature map from which the number of clusters (i.e....... hiện toàn bộ
A nonlinear data‐driven model for synthetic generation of annual streamflows
Hydrological Processes - Tập 22 Số 12 - Trang 1831-1845 - 2008
K. P. Sudheer, K. Srinivasan, T. R. Neelakantan, V. V. Srinivas
AbstractA hybrid model that blends two non‐linear data‐driven models, i.e. an artificial neural network (ANN) and a moving block bootstrap (MBB), is proposed for modelling annual streamflows of rivers that exhibit complex dependence. In the proposed model, the annual streamflows are modelled initially using a radial basis function ANN model. The residuals extracted...... hiện toàn bộ
Short‐term inflow forecasting using an artificial neural network model
Hydrological Processes - Tập 16 Số 12 - Trang 2423-2439 - 2002
Zhiheng Xu, J. Y. Li
AbstractThe primary objective of this study is to investigate the possibility of including more temporal and spatial information on short‐term inflow forecasting, which is not easily attained in the traditional time‐series models or conceptual hydrological models. In order to achieve this objective, an artificial neural network (ANN) model for short‐term inflow for...... hiện toàn bộ
Auto‐configuring radial basis function networks for chaotic time series and flood forecasting
Hydrological Processes - Tập 23 Số 17 - Trang 2450-2459 - 2009
Li‐Chiu Chang, Fi‐John Chang, Yuanpeng Wang
AbstractThe learning strategy of the radial basis function network (RBFN) commonly uses a hybrid learning process to identify the structure and then proceed to search the model parameters, which is a time‐consuming procedure. We proposed an evolutionary way to automatically configure the structure of RBFN and search the optimal parameters of the network. The strate...... hiện toàn bộ
Assessing the effect of climate change on mean annual runoff in the Songhua River basin, China
Hydrological Processes - Tập 26 Số 7 - Trang 1050-1061 - 2012
Dejia Meng, Xingguo Mo
AbstractInfluences of climatic change on the components of global hydrological cycle, including runoff and evapotranspiration are significant in the mid‐ and high‐latitude basins. In this paper, the effect of climatic change on annual runoff is evaluated in a large basin—Songhua River basin which is located in the northeast of China. A method based on Budyko‐type e...... hiện toàn bộ
The potential role of freshwater luminescence measurements in exploring runoff pathways in upland catchments
Hydrological Processes - Tập 15 Số 6 - Trang 989-1002 - 2001
Malcolm Newson, Andy Baker, Stewart Colin Mounsey
AbstractThe forested Coalburn catchment (1·5 km2) in northern England experiences episodic stream acidification. To plan for sustainable management of the plantation forest cycle, an understanding is required of the flow pathways and hydrochemical routing signatures of the organic and mineral soils that make up the source areas for runoff. A te...... hiện toàn bộ
A classification of drainage and macropore flow in an agricultural catchment
Hydrological Processes - Tập 16 Số 1 - Trang 27-46 - 2002
Catherine Heppell, Fred Worrall, T. P. Burt, Richard J. Williams
AbstractThis paper uses a variety of multivariate statistical techniques in order to improve current understanding of the antecedent and rainfall controls on drainage characteristics for an agricultural underdrained clay site. Using the dataset obtained from a two‐year hillslope study at Wytham (Oxfordshire, UK) a number of patterns in the nature and style of drain...... hiện toàn bộ
Improving interpolation of daily precipitation for hydrologic modelling: spatial patterns of preferred interpolators
Hydrological Processes - Tập 23 Số 23 - Trang 3281-3291 - 2009
Daniel Kurtzman, Shilo Navon, Efrat Morin
AbstractDetailed hydrologic models require high‐resolution spatial and temporal data. This study aims at improving the spatial interpolation of daily precipitation for hydrologic models. Different parameterizations of (1) inverse distance weighted (IDW) interpolation and (2) A local weighted regression (LWR) method in which elevation is the explanatory variable and...... hiện toàn bộ
Scaling up and out in runoff process understanding: insights from nested experimental catchment studies
Hydrological Processes - Tập 20 Số 11 - Trang 2461-2465 - 2006
C. Soulsby, Doerthe Tetzlaff, Sarah Dunn, Susan Waldron
Tổng số: 203   
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