by University of New South Wales, School of Civil Engineering in Manly Vale, N.S.W .
Written in English
Bibliography: p. 149-152.
|Statement||by P.R. Johnston and D.H. Pilgrim.|
|Series||Report / University of New South Wales, Water Research Laboratory -- no. 131, Analysis component / Australian Water Resources Council Research project 68/1 ; d, Report (University of New South Wales. Water Research Laboratory) -- no. 131|
|Contributions||Pilgrim, D. H.|
|LC Classifications||QC925.71.N4 J64, QC925.71 N4 J64|
|The Physical Object|
|Pagination||197 p. :|
|Number of Pages||197|
Bahat et al. () indicated a lumped model performed better than a distributed model in a rainfall-runoff modeling study of a small, hyper-arid catchment in Israel. But the Yixunhe River sub-basin is very large and heterogeneous, so a set of model parameters cannot reflect the non-uniformity of the watershed characteristics, which degrades Cited by: alternative parameter quantification approach based on the phys-ical attributes of a basin. It addresses the question of whether physical basin properties and the role they play in runoff gen-eration can be used directly in the estimation of parameter val-ues. This would greatly enhance the application of the model. Conditioning rainfall-runoff model parameters for ungauged catchments and land management impacts analysis N. Bulygina, N. McIntyre, and H. Wheater prior model parameter uncertainty into posterior distribu- In the case study, a single model struc-ture is assumed, although the Cited by: Request PDF | A Particle Swarm Optimization for Parameter Estimation of a Rainfall-Runoff Model | Transfer function based models are widely used in hydrological modeling, especially for rainfall.
Catchment Variability and Parameter Estimation that optimised parameters representing certain catchment characteristics are also applicable in other catchments with similar characteristics. In this approach, the regionalisation of model parameters can be done using regression-type approachesCited by: The objective of this study was to evaluate parameter uncertainty and its propagation in rainfall-runoff modeling. This study tried to model daily flows and calculate uncertainty bounds for Karoon-III basin, Southwest of Iran, using HEC-HMS (SMA).Cited by: 3. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Development of methodologies to achieve a priori parameter estimation of hydrological models is fundamental in ungauged basins, to reduce the number of parameters to be calibrated or to obtain parameter values where calibration is not possible. This work shows that conceptual rainfall-runoff models can be . Hydrologic Model Parameter Optimisation W. J. Cohena, Dr R. B. Ollingtonb and Dr F.L.N. Linga a Entura, Cambridge, Tasmania bUniversity of Tasmania, Sandy Bay, Tasmania Email: @ Abstract: Deterministic rainfall-runoff models require parameter calibration with the aim of matching the modeled streamflow record to an observed record as closely as possible.
Abstract The paper presents a modification of a rainfall–runoff parameter regionalization procedure, which can be used for model parameter estimation in ungauged basins. The upper Hron River basin in Slovakia was selected as a study area. Data from 19 sub-catchments were collected and a lumpedFile Size: KB. are problems to build and calibrate a rainfall-runoff model, because it depends on the characteristics of the river basin. One of daily rainfall-runoff model (used for this study) is GR4J (Genie Rural a 4 parametres Journalier) which was developed by Perrin  and was proven having strong basic and efficient in a modeling. "DETERMINATION OF RAINFALL/RUNOFF MODEL PARAMETERS" KEY WORDS: Rainfall/Runoff Models. Joint Parameters-Field Measurements. Stochastic-Deterministic, Probability, Antecedence, ABSTRACT: Runoff estimates both peaks and volumes are called for in design analysis for the sizing of a wide range of engineering : Allan Gregory Goyen. A comprehensive hydrological model, like the storm water management model (SWMM), has been widely used for rainfall-runoff simulation. In recent years, simple and effective modern modeling techniques have also brought great attention to the prediction of runoff with rainfall input.