Investigation of spatially distributed braided river flows using a two-dimensional hydraulic model

2003 ◽  
Vol 28 (6) ◽  
pp. 655-674 ◽  
Author(s):  
A. P. Nicholas
Keyword(s):  
Hydraulic Model ◽  
Braided River ◽  
Two Dimensional ◽  
River Flows ◽  
Spatially Distributed

scholarly journals Hydraulic visibility: Using satellite altimetry to parameterize a hydraulic model of an ungauged reach of a braided river

2016 ◽  
Vol 31 (4) ◽  
pp. 756-767 ◽  
Author(s):  
Pierre-André Garambois ◽  
Stéphane Calmant ◽  
Hélène Roux ◽  
Adrien Paris ◽  
Jérôme Monnier ◽  
...  
Keyword(s):  
Satellite Altimetry ◽  
Hydraulic Model ◽  
Braided River

scholarly journals Utility of different data types for calibrating flood inundation models within a GLUE framework

2005 ◽  
Vol 9 (4) ◽  
pp. 412-430 ◽  
Author(s):  
N. M. Hunter ◽  
P. D. Bates ◽  
M. S. Horritt ◽  
A. P. J. De Roo ◽  
M. G. F. Werner
Keyword(s):  
Surface Friction ◽  
Hydraulic Model ◽  
Observation Data ◽  
Flood Inundation ◽  
Two Dimensional ◽  
Data Types ◽  
Data Set ◽  
Hydraulic Models ◽  
Inundation Extent ◽  
Friction Parameters

Abstract. To translate a point hydrograph forecast into products for use by environmental agencies and civil protection authorities, a hydraulic model is necessary. Typical one- and two-dimensional hydraulic models are able to predict dynamically varying inundation extent, water depth and velocity for river and floodplain reaches up to 100 km in length. However, because of uncertainties over appropriate surface friction parameters, calibration of hydraulic models against observed data is a necessity. The value of different types of data is explored in constraining the predictions of a simple two-dimensional hydraulic model, LISFLOOD-FP. For the January 1995 flooding on the River Meuse, The Netherlands, a flow observation data set has been assembled for the 35-km reach between Borgharen and Maaseik, consisting of Synthetic Aperture Radar and air photo images of inundation extent, downstream stage and discharge hydrographs, two stage hydrographs internal to the model domain and 84 point observations of maximum free surface elevation. The data set thus contains examples of all the types of data that potentially can be used to calibrate flood inundation models. 500 realisations of the model have been conducted with different friction parameterisations and the performance of each realisation has been evaluated against each observed data set. Implementation of the Generalised Likelihood Uncertainty Estimation (GLUE) methodology is then used to determine the value of each data set in constraining the model predictions as well as the reduction in parameter uncertainty resulting from the updating of generalised likelihoods based on multiple data sources.

A Test of Randomness for Finite Spatial Distributions

1994 ◽  
Vol 78 (3) ◽  
pp. 707-714 ◽  
Author(s):  
Frank O'brien
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Null Hypothesis ◽  
Nearest Neighbor ◽  
Dimensional Space ◽  
Spatial Distributions ◽  
Two Dimensional ◽  
Model Extension ◽  
Spatially Distributed ◽  
Test Of Randomness

A statistical method is presented for determining randomness of points spatially distributed in two-dimensional space. The procedure is based on a distance-to-particle (nearest neighbor) model derived from an elementary Poisson process. In a previous derivation of the method, an extension to the model was proposed and used without adequate empirical justification. Herein the test is derived in detail and its performance evaluated with Monte Carlo simulations. Results indicate that the model extension provides adequate representations when the null hypothesis is true.

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