Results 1 - 10 of 416

Flood Prediction and Uncertainty by

by Evangelia-maria Giannakopoulou , 2008
"... A grid-based approach to fluvial flood modelling has been investigated in this dissertation. A spatially-distributed hydrological model can simulate flow on an areawide basis and a runoff production is used to estimate river flows with a simple kinematic wave scheme. Initialization errors, (rainfall ..."
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A grid-based approach to fluvial flood modelling has been investigated in this dissertation. A spatially-distributed hydrological model can simulate flow on an areawide basis and a runoff production is used to estimate river flows with a simple kinematic wave scheme. Initialization errors

Impact of river morphology on extreme flood level prediction: a

by S. Van Vuren, M. Kok
"... ABSTRACT: The dike rings along the Rhine in the Netherlands have a level of protection of 1/1250 per year. The design water levels are estimated on the basis of one random variable: the river discharge. Van Vuren & Van Breen (2003) show the existence of large spatial and temporal variation in be ..."
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in bed level position in the river Waal. In this paper the impact of river morphology on extreme flood level predictions is investigated. Therefore, the method to compute design water levels is extended with another random variable: the river morphology. The results show that the impact of river

Regional climate ensemble simulations for Ireland – impact of climate change on river flooding

by Tido Semmler, Shiyu Wang, Ray Mcgrath, Paul Nolan - In: Proceedings of the National Hydrology Seminar , 2006
"... In recent years, uncertainties in climate model projections have become of much interest because such a wide range of future projections have emerged from a combination of emissions scenarios and different general circulation models (GCMs). Decision-makers and scientists have the desire to know whet ..."
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whether certain scenarios are more likely than others for different issues, such as river flooding. Through the ensemble approach the uncertainty in regional climate projections as well as in predicted impacts can be determined to estimate which predicted changes and impacts are robust features. To make a

c © World Scientific Publishing Company ASSIMILATION OF ONE SATELLITE SAR IMAGE FOR FLOOD SIMULATIONS. METHOD AND TEST CASE (MOSEL RIVER)

by unknown authors , 2011
"... In view of improving numerical flood prediction, a variational data assimilation method (4D-var) applied to a 2D shallow water model and using distributed water level obtained from one Synthetic Aperture Radar (SAR) image is presented. The RADARSAT-1 image leads to water levels with a ±40 cm average ..."
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In view of improving numerical flood prediction, a variational data assimilation method (4D-var) applied to a 2D shallow water model and using distributed water level obtained from one Synthetic Aperture Radar (SAR) image is presented. The RADARSAT-1 image leads to water levels with a ±40 cm

c © World Scientific Publishing Company ASSIMILATION OF ONE SATELLITE SAR IMAGE FOR FLOOD SIMULATIONS. METHOD AND TEST CASE (MOSEL RIVER)

by unknown authors , 2011
"... In view of improving numerical flood prediction, a variational data assimilation method (4D-var) applied to a 2D shallow water model and using distributed water level obtained from one Synthetic Aperture Radar (SAR) image is presented. The RADARSAT-1 image leads to water levels with a ±40 cm average ..."
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In view of improving numerical flood prediction, a variational data assimilation method (4D-var) applied to a 2D shallow water model and using distributed water level obtained from one Synthetic Aperture Radar (SAR) image is presented. The RADARSAT-1 image leads to water levels with a ±40 cm

Uncertainty in Predictions of Floods and Hydraulic Transport

by Keith Beven , 2007
"... Abstract This paper provides a review of work within the Generalised Likelihood Uncertainty Estimation (GLUE) methodology on estimating uncertainties in predicting flood frequency, flood inundation, and hydraulic transport of solutes in rivers and soils. The issue of prediction uncertainty as an in ..."
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Abstract This paper provides a review of work within the Generalised Likelihood Uncertainty Estimation (GLUE) methodology on estimating uncertainties in predicting flood frequency, flood inundation, and hydraulic transport of solutes in rivers and soils. The issue of prediction uncertainty

Flood routing with real-time stage correction method for flash flood forecasting in the Tanshui River, Taiwan

by Ming-hsi Hsua, Jin-cheng Fua, Wen-cheng Liub , 2002
"... Based on the dynamic wave theory of unsteady flow in open channels, a four-point implicit finite-difference method is employed to develop a flash flood routing model for the Tanshui River in Taiwan. The real-time observed river stages are specified as the internal boundary conditions for the routing ..."
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. The model is calibrated and verified with the field records of several typhoon flood events. There is a reasonable good agreement between measured and computed river stages. Four typhoon flood events are simulated to confirm the accuracy of the forecasting method. The results reveal that the present model

Flood routing in ungauged catchments using

by Muskingum Methods , 2006
"... River stage or flow rates are required for the design and evaluation of hydraulic structures. Most river reaches are ungauged and a methodology is needed to estimate the rates of flow, at specific locations in streams where no measurements are avail-able. Flood-routing techniques are utilised to est ..."
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River stage or flow rates are required for the design and evaluation of hydraulic structures. Most river reaches are ungauged and a methodology is needed to estimate the rates of flow, at specific locations in streams where no measurements are avail-able. Flood-routing techniques are utilised

22 A Model for Flood Prediction and Prevention using Wireless Sensor Network

by Indira Priyadarshinee, Kabita Sahoo, Asst Professor, Chandrakant Mallick
"... Flood is a frequently occurring natural disaster in the coastal areas. We, the human beings and our resources are victims of such natural catastrophe. For example, flood. Though flood cannot be totally uprooted by human being still it can be predicted hence major steps can be taken to prevent it. In ..."
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. In order to predict & prevent flood structural and non-structural methods are available. In this paper we propose a model to deploy different types of sensors in the river bed forming a Wireless Sensor Network (WSN) for predicting the flood situation and warn the local office & administration

Floods, Point Cloud

by J. H. Ch, X. Sun A, K. Shiono A, P. Rameshwaran B
"... Current state of the art computational fluid dynamics (CFD) and in particular, river flow modelling, require accurate estimation of the “free surface ” in order to accurately predict the three dimensional flow field along a river. Such models are increasingly important for management of river basins ..."
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Current state of the art computational fluid dynamics (CFD) and in particular, river flow modelling, require accurate estimation of the “free surface ” in order to accurately predict the three dimensional flow field along a river. Such models are increasingly important for management of river
Results 1 - 10 of 416