flood model Articles
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Comparing modelling techniques for analysing urban pluvial flooding
Short peak rainfall intensities cause sewer systems to overflow leading to flooding of streets and houses. Due to climate change and densification of urban areas, this is expected to occur more often in the future. Hence, next to their minor (i.e. sewer) system, municipalities have to analyse their major (i.e. surface) system in order to anticipate urban flooding during extreme rainfall. Urban ...
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Applicability of a physically based soil water model (SWMOD) in design flood estimation in eastern Australia
Event-based rainfall–runoff models are useful tools for hydrologic design. Of the many loss models, the ‘initial loss-continuing loss’ model is widely adopted in practice. Some of the key limitations with these types of loss models include the arbitrary selection of initial moisture (IM) conditions and lack of physically meaningful parameters. This paper investigates the applicability of a ...
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Feasibility and uncertainty of using conceptual rainfall-runoff models in design flood estimation
Hydrological models are developed for different purposes including flood forecasting, design flood estimation, water resources assessment, and impact study of climate change and land use change, etc. In this study, applicability and uncertainty of two deterministic lumped models, the Xinanjiang (XAJ) model and the Hydrologiska Byråns Vattenbalansavdelning (HBV) model, in design flood ...
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Overland flow computations in urban and industrial catchments from direct precipitation data using a two-dimensional shallow water model
This paper presents the experimental validation and the application to a real industrial catchment of a two-dimensional depth-averaged shallow water model used for the computation of rainfall-runoff transformation from direct precipitation data. Instead of using the common approach in flood inundation modelling, which consists in computing the water depth and velocity fields given the water ...
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Regionalisation of the parameters of the rainfall–runoff model PQRUT
This paper presents the regionalisation of the three parameter event-based PQRUT model, which is used for design flood analyses. The PQRUT model is used for the analysis of peak flows for which a sub-daily temporal resolution is required. The availability of high-resolution discharge data and disaggregated precipitation data have made it possible to re-evaluate the regional regression ...
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Modelling design flood hydrographs in catchments with mixed urban and rural land cover
The effect of urban land cover on catchment flood response is evaluated using a lumped rainfall–runoff model to analyse flood events from selected UK catchments with mixed urban and rural land use. The present study proposes and evaluates a series of three extensions to an existing model to enable a better representation of urban effects, namely: an increase in runoff volume, reduced ...
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Parameter sensitivity of a watershed-scale flood forecasting model as a function of modelling time-step
Although ongoing technological advances have alleviated data restrictions and most of the computational barriers to distributed modelling, lumped, parsimonious, conceptual and rainfall-runoff models are still widely used for flood forecasting. However both optimum parameter values and the fluxes of water through individual model components change significantly with the time-step used. Thus, ...
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Urban pluvial flood prediction: a case study evaluating radar rainfall nowcasts and numerical weather prediction models as model inputs
Flooding produced by high-intensive local rainfall and drainage system capacity exceedance can have severe impacts in cities. In order to prepare cities for these types of flood events – especially in the future climate – it is valuable to be able to simulate these events numerically, both historically and in real-time. There is a rather untested potential in real-time prediction of urban ...
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Comparing influence of combinations of precipitation loss and rainfall excess-runoff transform models to flood flow rate in a flatland watershed
Hydrologists can use many different precipitation loss rate functions and rainfall-excess transform techniques to develop watershed runoff hydrographs. For the most part, they can apply the loss and transform approaches in nearly any combination. To evaluate some of the many possible groupings, we formed a matrix of three commonly used precipitation loss rate models and three rainfall-excess ...
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Improving flood forecasting in Bangladesh using an artificial neural network
A river stage neural network model has been developed to study and predict the water level of Dhaka city. A total of five stations located at the border area of Bangladesh on the Ganges, Brahmaputra and Meghna rivers are selected as input nodes and Dhaka on the Buriganga river is the output node for the neural network. This model is trained with river stage data for a period of 1998 to 2004 and ...
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A reliable rainfall–runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy
Many rainfall–runoff (RR) models are available in the scientific literature. Selecting the best structure and parameterization for a model is not straightforward and depends on a broad number of factors, including climatic conditions, catchment characteristics, temporal/spatial resolution and model objectives. In this study, the RR model ‘Modello Idrologico Semi-Distribuito in continuo’ ...
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5 Reasons to visit us at Meteorological Technology World Expo
The countdown is running: From 10 to 12 October 2017, the largest international trade show for meteorological technology will take place at the Amsterdam RAI trade fair and convention center. About 200 exhibitors and 4,000 participants from more than 100 countries are expected. We sincerely invite all industry members and interested parties to our booth #8080. In the following, we give you a ...
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5 Reasons to visit Lufft at Meteorological Technology World Expo
The countdown is running: From 10 to 12 October 2017, the largest international trade show for meteorological technology will take place at the Amsterdam RAI trade fair and convention center. About 200 exhibitors and 4,000 participants from more than 100 countries are expected. We sincerely invite all industry members and interested parties to our booth #8080. In the following, we give you a ...
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Flood analysis of urban drainage systems: Probabilistic dependence structure of rainfall characteristics and fuzzy model parameters
Flood analysis of urban drainage systems plays a crucial role for flood risk management in urban areas. Rainfall characteristics, including the dependence between rainfall variables, have a significant influence on flood frequency. This paper considers the use of copulas to represent the probabilistic dependence structure between rainfall depth and duration in the synthetic rainfall generation ...
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Rainfall-runoff model parameter conditioning on regional hydrological signatures: application to ungauged basins in southern Italy
Parameter estimation for rainfall-runoff models in ungauged basins is a key aspect for a wide range of applications where streamflow predictions from a hydrological model can be used. The need for more reliable estimation of flow in data scarcity conditions is, in fact, thoroughly related to the necessity of reducing uncertainty associated with parameter estimation. This study extends the ...
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Flood Improvement and LID Modeling Using XP‐SWMM
Introduction First developed in 1971, the EPA's Storm Water Management Model (SWMM) has been widely used in urban areas for planning, analysis, and design related to stormwater runoff, combined sewers, sanitary sewers, and other drainage systems. XP‐SWMM, published by XP Solutions Inc., uses the EPA SWMM model as the primary runoff hydrograph simulator for runoff quantity and quality. The ...
By Innovyze
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Assessment of future flood intensification in Central Vietnam using a super-high-resolution climate model output
This paper presents an assessment of the changes in future floods. The ranked area-average heavy daily rainfall amounts simulated by a super-high-resolution (20 km mesh) global climate model output are corrected with consideration of the effects of the topography on heavy rainfall patterns and used as a basis to model design storm hyetographs. The rainfall data are then used as the input for a ...
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Inference of basin flood potential using nonlinear hysteresis effect of basin water storage: case study of the Koshi basin
Current flood forecasting tools for river basins subject to extreme seasonal monsoon rainfall are of limited value because they do not consider nonlinearity between basin hydrological properties. The goal of this study is to develop models that account for nonlinearity relationships in flood forecasting, which can aid future flood warning and evacuation system models. Water storage estimates ...
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Assessing the impact of arid area urbanization on flash floods using GIS, remote sensing, and HEC-HMS rainfall–runoff modeling
This study uses an integrated approach, bringing together geographic information system (GIS), remote sensing, and rainfall–runoff modeling, to assess the urbanization impact on flash floods in arid areas. Runoff modeling was carried out as a function of the catchment characteristics and the maximum daily rainfall parameters. Land-use types were extracted from the supervised classification of ...
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Neural network approach to output updating for the physically–based model of the Upper Thames River watershed
This study presents an output updating procedure for the deterministic physically–based model of the Upper Thames River watershed, Ontario, Canada. In addition to streamflow and rainfall, this procedure uses as inputs meteorological variables not employed in the model calibration. The main hydrological processes involved in transformation of rainfall into runoff are mathematically expressed using ...
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