Automating flood-safe ecological river modelling and design

2020 ◽  
pp. 1359-1367
Author(s):  
Sebastian Schwindt ◽  
Gregory B. Pasternack
Keyword(s):  
River Modelling

Mathematical modelling of shallow flows: Closure models drawn from grain-scale mechanics of sediment transport and flow hydrodynamicsThis paper is one of a selection of papers in this Special Issue in honour of Professor M. Selim Yalin (1925–2007).

2009 ◽  
Vol 36 (10) ◽  
pp. 1605-1621 ◽  
Author(s):  
Rui M. L. Ferreira ◽  
Mário J. Franca ◽  
João G. A. B. Leal ◽  
António H. Cardoso
Keyword(s):  
Sediment Transport ◽  
Mathematical Modelling ◽  
Conceptual Models ◽  
Numerical Solutions ◽  
Shear Stresses ◽  
Shallow Flows ◽  
River Modelling ◽  
Morphologic Evolution ◽  
Sediment Mixtures ◽  
Selection Of

Mathematical modelling of river processes is, nowadays, a key element in river engineering and planning. River modelling tools should rest on conceptual models drawn from mechanics of sediment transport, river mechanics, and river hydrodynamics. The objectives of the present work are (i) to describe conceptual models of sediment transport, deduced from grain-scale mechanics of sediment transport and turbulent flow hydrodynamics, and (ii) to present solutions to specific river morphology problems. The conceptual models described are applicable to the morphologic evolution of rivers subjected to the transport of poorly sorted sediment mixtures at low shear stresses and to geomorphic flows featuring intense sediment transport at high shear stresses. In common, these applications share the fact that sediment transport and flow resistance depend, essentially, on grain-scale phenomena. The idealized flow structures are presented and discussed. Numerical solutions for equilibrium and nonequilibrium sediment transport are presented and compared with laboratory and field data.

scholarly journals Technical note: River modelling to infer flood management framework

Water SA ◽  
2011 ◽  
Vol 37 (1) ◽  
Author(s):  
DYS Mah ◽  
CP Hii ◽  
FJ Putuhena ◽  
SH Lai
Keyword(s):  
Flood Management ◽  
Technical Note ◽  
Management Framework ◽  
River Modelling

scholarly journals Resistance and reconfiguration of natural flexible submerged vegetation in hydrodynamic river modelling

2015 ◽  
Vol 16 (1) ◽  
pp. 245-265 ◽  
Author(s):  
Veerle Verschoren ◽  
Dieter Meire ◽  
Jonas Schoelynck ◽  
Kerst Buis ◽  
Kris D Bal ◽  
...  
Keyword(s):  
Submerged Vegetation ◽  
River Modelling

scholarly journals The influence of grid shape and grid size on hydraulic river modelling performance

2019 ◽  
Vol 19 (5) ◽  
pp. 1273-1294 ◽  
Author(s):  
A. Bomers ◽  
R. M. J. Schielen ◽  
S. J. M. H. Hulscher
Keyword(s):  
Grid Size ◽  
River Modelling

Corrigendum to: Trajectory river modelling – a decision-support tool to help manage multiple risks associated with planning around variable water resources

2020 ◽  
Vol 71 (8) ◽  
pp. 1040
Author(s):  
Mat Gilfedder ◽  
Geoff Podger ◽  
David W. Rassam ◽  
Dan Pagendam ◽  
Catherine J. Robinson
Keyword(s):  
River Flow ◽  
River System ◽  
Decision Support Tool ◽  
Resource Planning ◽  
Support Tool ◽  
System Models ◽  
Multiple Risks ◽  
Murray Darling Basin ◽  
River Modelling ◽  
Variable Water

The application of river-system models to inform water-resource planning and management is a growing global phenomenon. This requires models to be applied so that they are useful to water decision makers charged with setting targets that provide adequate water flows to sustain landholders and communities. This article examines why and how the innovative application of river-system models can facilitate interactions between water science and water management in Australia's Murray–Darling Basin (the Basin). A trajectory river-modelling method was applied to run multiple short historical climate sequences through a river-system model to provide historical probabilities. These can allow better assessment of the risks and impacts associated with stream flow and water availability. This method allows known historical variability to be presented, and produces relevant results for a 10–15-year water-sharing plan lifetime. The benefits were demonstrated in the Basin's Lachlan Catchment where modelled river-flow results demonstrated the increased variability between shorter 15-year sequences than for a single 114-year run. This approach highlighted the benefits of expressing modelling results as historical probabilities to inform short-term and strategic water-planning efforts.

scholarly journals Conceptual Modelling of Water Loss on Flood Plains and its Application to River Yamuna Upstream of Delhi

1991 ◽  
Vol 22 (5) ◽  
pp. 265-274 ◽  
Author(s):  
S. Asger Nielsen ◽  
J. C. Refsgaard ◽  
V.K. Mathur
Keyword(s):  
Water Level ◽  
Water Loss ◽  
Conceptual Modelling ◽  
Yamuna River ◽  
Water Losses ◽  
Flood Plains ◽  
Mike 11 ◽  
River Modelling ◽  
River Yamuna ◽  
Modelling System

A water loss module for the river modelling system MIKE 11 has been developed to account for water losses due to retention and infiltration on flood plains. MIKE 11 including the water loss module has been calibrated and tested on data from the Yamuna river, India. The inclusion of the water loss module has improved the water level forecasts at Delhi to a large extent.

Non-stationarity of low flows and their relevance to river modelling during drought periods

2017 ◽  
Vol 68 (12) ◽  
pp. 2306 ◽  
Author(s):  
David W. Rassam ◽  
Daniel Pagendam ◽  
Mat Gilfedder ◽  
Lu Zhang
Keyword(s):  
Regression Analysis ◽  
River Flow ◽  
Low Flow ◽  
Flow Conditions ◽  
Low Flows ◽  
River Modelling ◽  
Quantile Regression Analysis ◽  
River Models ◽  
Groundwater Contribution ◽  
Ltb Metric

Changes in groundwater storage lead to a reduction in groundwater contribution to river flow and present as non-stationarity, especially during low-flow conditions. Conventional river models typically ignore this non-stationarity, and, hence, their predictions of declines in low flows during drought periods are likely to be compromised. The present study assesses non-stationarity and highlights its implications for river modelling. A quantile regression analysis showed non-stationarity of low flows in the Namoi catchment (Australia), with statistically significant downward trends in the 10th percentile of log-transformed baseflow (10-LTB). This highlighted the usefulness of the 10-LTB metric to identify non-stationarity and, hence, alert modellers to the importance of adopting models that explicitly account for groundwater processes when modelling such river systems.

scholarly journals Modelling of Batang Rejang for Extreme Events

2013 ◽  
Vol 4 (3) ◽  
pp. 1-5
Author(s):  
D.Y.S. Mah ◽  
N.C. Nam ◽  
F.J. Putuhena ◽  
P.L. Law
Keyword(s):  
Extreme Events ◽  
Human Activities ◽  
Catchment Area ◽  
Natural Hazard ◽  
River Channel ◽  
Vulnerable Population ◽  
Affected Area ◽  
River Modelling ◽  
The Future ◽  
Flood Maps

Flood is a natural hazard. It happens when the water in a river channel is beyond the capacity of the channel to carry while the overflowing water is called as floodwater. Flood causes damage to life and property when it strikes a vulnerable population in the affected area. There are several townships located along Batang Rejang such as Kapit, Song, Kanowit and Sibu. The main objective of this paper is to develop a river model to map the extreme events for Batang Rejang. The method used in is river modelling by using InfoWorks RS software. This method is simulating the Batang Rejang in order to view the behaviours of the river in response to conditions and effects of extreme events over a given period of time. Flood maps computed from InfoWorks RS are for flood extent analysis as it provides insights to the damage for different locations at different flows. The maps are also useful for related authorities or parties to locate human activities at the catchment area and to carry out emergency flood plans in the future.

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