Results 161 to 170 of about 76,535 (212)
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Rainfall-runoff processes and modelling
Journal of Hydraulic Research, 1996Hydrological studies of rainfall-runoff processes provide the basis for estimating design flows for urban stormwater drainage systems which control floods and the transport of sediments and polluta...
Geoffrey O'Loughlin +2 more
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GIS for Distributed Rainfall — Runoff Modeling
1996In this chapter the rainfall-runoff phenomenon is considered emphasizing the role assumed by the runoff production. Through the use of GIS, capable of managing and storing a great amount of data, different mechanisms of runoff production are analyzed. In particular a modified and spatially distributed version of TOPMODEL, which is capable of modeling ...
COLOSIMO C, MENDICINO, Giuseppe
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Fuzzy conceptual rainfall–runoff models
Journal of Hydrology, 2001Abstract A fuzzy conceptual rainfall–runoff (CRR) framework is proposed herein to deal with those parameter uncertainties of conceptual rainfall–runoff models, that are related to data and/or model structure: with every element of the rainfall–runoff model assumed to be possibly uncertain, taken here as being fuzzy.
Ertunga C. Özelkan, Lucien Duckstein
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2012
authoritative text, first published in 2001. The book provides both a primer for the novice and detailed descriptions of techniques for more advanced practitioners, covering rainfall-runoff models and their practical applications. This new edition extends these aims to include additional chapters dealing with prediction in ungauged basins, predicting ...
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authoritative text, first published in 2001. The book provides both a primer for the novice and detailed descriptions of techniques for more advanced practitioners, covering rainfall-runoff models and their practical applications. This new edition extends these aims to include additional chapters dealing with prediction in ungauged basins, predicting ...
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Regional Monthly Rainfall‐Runoff Model
Journal of Water Resources Planning and Management, 1983A simple regional model for basins with either linear or nonlinear monthly rainfall‐runoff behavior is presented. The structure of the model depends on two key parameters: (1) An order parameter k; and (2) a memory parameter n, which control the runoff behavior of the basin and the memory of the rainfall‐runoff process, respectively.
M. Mimikou, A. Ramachandra Rao
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INDUCTIVE LEARNING APPROACHES TO RAINFALL-RUNOFF MODELLING
International Journal of Neural Systems, 2000Trying to model the rainfall-runoff process is a complex activity as it is influenced by a number of implicit and explicit factors — for example, precipitation distribution, evaporation, transpiration, abstraction, watershed topography, and soil types.
C W, Dawson, M R, Brown, R L, Wilby
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Rainfall-runoff modeling using computational intelligence techniques
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016Rainfall and corresponding Runoff estimation are substantially dependent on various geographic, climatic, and biotic features of the catchment or basin under study and these factors often induce a linear, non-linear or highly complex relation between rainfall and runoff.
Dhananjay Kumar +2 more
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Neural nets for modelling rainfall-runoff transformations
Water Resources Management, 1995To obtain river flow data, a neural network (NN) is developed and applied to rainfall-runoff transformation. The NN has been built considering a hidden two layer net and the sigmoidal has been used as a response function. Training is conducted using a back-propagation learning rule. In the input layer, both areal and point data values may be considered.
LORRAI M., SECHI, GIOVANNI MARIA
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2011
Due to their relatively low costs, there are more rain gauges than river flow stations. In addition, rainfall records are usually much longer than river flow records. As a result, rainfall runoff modelling helps flood engineers to convert rainfall records into river flows.
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Due to their relatively low costs, there are more rain gauges than river flow stations. In addition, rainfall records are usually much longer than river flow records. As a result, rainfall runoff modelling helps flood engineers to convert rainfall records into river flows.
openaire +1 more source
Data Based Rainfall-Runoff Modelling
2014This chapter explores the data selection and modelling approaches in the context of Rainfall-Runoff modelling . The main goals of the chapter are (i) to present the data driven models and data driven models in conjunction with data selection modelling approaches like the Gamma Test , Entropy Theory , AIC and BIC using daily information from the Brue ...
Renji Remesan, Jimson Mathew
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