Relevant bibliographies by topics / 2D flood inundation modelling

Academic literature on the topic '2D flood inundation modelling'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "2D flood inundation modelling"

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Tadesse, Yohannis Birhanu, and Peter Fröhle. "Modelling of Flood Inundation due to Levee Breaches: Sensitivity of Flood Inundation against Breach Process Parameters." Water 12, no. 12 (December 18, 2020): 3566. http://dx.doi.org/10.3390/w12123566.

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This paper analyses the sensitivity of flood inundation due to river levee breach against breach process parameters using the 1996 Awash River levee breach case at Wonji, Ethiopia. A parametric levee breach model integrated into the 2D hydrodynamic numerical model Telemac-2D is used to simulate a levee breach flood event at Wonji, Ethiopia. Levee breach process parameters are systemically varied to find out their effect on the flood inundation. The analysis of the model results shows that the flood inundation is sensitive to the final breach dimensions and breach location. However, the parameters describing the levee breach development have negligible influence on the flood inundation. This implies that final breach dimension and breach location in an event of levee breach are the most important and decisive parameters affecting the resulting inundation of the flood plain, and as such should be given due consideration when creating flood inundation maps due to levee breach.
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Kassem, Yousseuf, Hüseyin Gökçekuş, and Nour Alijl. "Flash flood risk assessment modelling and methods: Kyrenia Region, Northern Cyprus." World Journal of Environmental Research 11, no. 1 (May 16, 2022): 42–52. http://dx.doi.org/10.18844/wjer.v11i1.7190.

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Flash flooding risk impacts can be reduced through the implementation of mitigation strategies plan (MSP) for flood management. This study aims to develop a flash-floods risk mitigation plan, which appears to be beneficial for municipalities, provincial administrators, and authorities to reduce the impact of the flash flood in the Kyrenia region, Northern Cyprus. In this work, rainfall data were collected from the nearest stations for 22 years. The return periods of maximum daily rainfall are also determined by using six formulas. Furthermore, flood inundation and hazard maps were defined by utilizing SAGA, QGIS, ArcGIS, 2D HEC RAS, and HEC -HMS software then determining the degree of risk and identifying strategies based on quantitative risk analysis by developing a risk matrix. As a final result, catastrophic risk areas are distributed significantly downstream. In conclusion, the proposed flash flood mitigation plan includes strategies to reduce flood losses of human life and constructed structures across Kyrenia and proposed hazard and inundation risk maps to assess planners and decision-makers for the potential impact of floods to avoid. Keywords: DEM; Flash Flood; Hazard map; HEC-RA Mitigation plan; Risk matrix
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Lyddon, Charlotte E., Jennifer M. Brown, Nicoletta Leonardi, and Andrew J. Plater. "Sensitivity of Flood Hazard and Damage to Modelling Approaches." Journal of Marine Science and Engineering 8, no. 9 (September 19, 2020): 724. http://dx.doi.org/10.3390/jmse8090724.

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Combination of uncertainties in water level and wave height predictions for extreme storms can result in unacceptable levels of error, rendering flood hazard assessment frameworks less useful. A 2D inundation model, LISFLOOD-FP, was used to quantify sensitivity of flooding to uncertainty in coastal hazard conditions and method used to force the coastal boundary of the model. It is shown that flood inundation is more sensitive to small changes in coastal hazard conditions due to the setup of the regional model, than the approach used to apply these conditions as boundary forcing. Once the threshold for flooding is exceeded, a few centimetres increase in combined water level and wave height increases both the inundation and consequent damage costs. Improved quantification of uncertainty in inundation assessments can aid long-term coastal flood hazard mitigation and adaptation strategies, to increase confidence in knowledge of how coastlines will respond to future changes in sea-level.
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Fan, Yuyan, Tianqi Ao, Haijun Yu, Guoru Huang, and Xiaodong Li. "A Coupled 1D-2D Hydrodynamic Model for Urban Flood Inundation." Advances in Meteorology 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/2819308.

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Hydrodynamic models were commonly used for flood risk management in urban area. This paper presents initial efforts in developing an urban flood inundation model by coupling a one-dimensional (1D) model with a two-dimensional (2D) model to overcome the drawbacks of each individual modelling approach, and an additional module is used to simulate the rainfall-runoff process in study areas. For the 1D model, the finite difference method is used to discretize the Saint-Venant equations. An implicit dual time-stepping method (DTS) is then applied to a 2D finite volume model for an inundation simulation to improve computational efficiency. A total of four test cases are applied to validate the proposed model; its performance is demonstrated by a comparison with an explicit scheme and previously published results (an extensive physical experiment benchmark case, a vertical linking example, and two real drainage cases with actual topography). Results demonstrate that the proposed model is accurate and efficient in simulating urban floods for practical applications.
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Huang, Y., and X. S. Qin. "Uncertainty assessment of flood inundation modelling with a 1D/2D random field." Journal of Hydroinformatics 20, no. 5 (September 29, 2017): 1148–62. http://dx.doi.org/10.2166/hydro.2017.219.

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Abstract An uncertainty assessment framework based on Karhunen–Loevè expansion (KLE) and probabilistic collocation method (PCM) was introduced to deal with flood inundation modelling under uncertainty. The Manning's roughness for channel and floodplain were treated as 1D and 2D, respectively, and decomposed by KLE. The maximum flow depths were decomposed by the 2nd-order PCM. Through a flood modelling case with steady inflow hydrographs based on five designed testing scenarios, the applicability of KLE-PCM was demonstrated. The study results showed that the Manning's roughness assumed as a 1D/2D random field could efficiently alleviate the burden of random dimensionality within the analysis framework, and the introduced method could significantly reduce repetitive runs of the physical model as required in the traditional Monte Carlo simulation (MCS). The study sheds some light on reducing the computational burden associated with flood modelling under uncertainty which is useful for the related damage quantification and risk management.
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Willis, Thomas, Nigel Wright, and Andrew Sleigh. "Systematic analysis of uncertainty in 2D flood inundation models." Environmental Modelling & Software 122 (December 2019): 104520. http://dx.doi.org/10.1016/j.envsoft.2019.104520.

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Edirisooriya, E. M. N. T., N. G. P. B. Neluwala, and W. M. S. B. Weerakoon. "Flood Inundation Modelling in Greater Colombo Region Using HEC-RAS 2D." Engineer: Journal of the Institution of Engineers, Sri Lanka 55, no. 3 (November 8, 2022): 21. http://dx.doi.org/10.4038/engineer.v55i3.7518.

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Fatdillah, Eva, Balqis M. Rehan, Ponnambalam Rameshwaran, Victoria A. Bell, Zed Zulkafli, Badronnisa Yusuf, and Paul Sayers. "Spatial Estimates of Flood Damage and Risk Are Influenced by the Underpinning DEM Resolution: A Case Study in Kuala Lumpur, Malaysia." Water 14, no. 14 (July 13, 2022): 2208. http://dx.doi.org/10.3390/w14142208.

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The sensitivity of simulated flood depth and area to DEM resolution are acknowledged, but their effects on flood damage and risk estimates are less well understood. This study sought to analyse the relative benefits of using global DEMs of different resolution sizes, 5 m AW3D Standard, 12.5 m ALOS PALSAR and 30 m SRTM, to simulate flood inundation, damage and risk. The HEC-RAS 2D model was adopted for flood simulations, and the Toba River in the Klang River Basin in Malaysia was chosen for the case study. Simulated inundation areas from AW3D coincide the most with reported flooded areas, but the coarser-resolution DEMs did capture some of the reported flooded areas. The inundation area increased as the resolution got finer. As a result, AW3D returned almost double flood damage and risk estimates compared to ALOS PALSAR, and almost quadruple compared to SRTM for building-level damage and risk analysis. The findings indicate that a finer-resolution DEM improves inundation modelling and could provide greater flood damage and risk estimates compared to a coarser DEM. However, DEMs of coarser resolution remain useful in data-scarce regions or for large-scale assessments in efforts to manage flood risk.
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Martínez, Carlos, Zoran Vojinovic, Roland Price, and Arlex Sanchez. "Modelling Infiltration Process, Overland Flow and Sewer System Interactions for Urban Flood Mitigation." Water 13, no. 15 (July 24, 2021): 2028. http://dx.doi.org/10.3390/w13152028.

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Rainfall-runoff transformation on urban catchments involves physical processes governing runoff production in urban areas (e.g., interception, evaporation, depression, infiltration). Some previous 1D/2D coupled models do not include these processes. Adequate representation of rainfall–runoff–infiltration within a dual drainage model is still needed for practical applications. In this paper we propose a new modelling setup which includes the rainfall–runoff–infiltration process on overland flow and its interaction with a sewer network. We first investigated the performance of an outflow hydrograph generator in a 2D model domain. The effect of infiltration losses on the overland flow was evaluated through an infiltration algorithm added in a so-called Surf-2D model. Then, the surface flow from a surcharge sewer was also investigated by coupling the Surf-2D model with the SWMM 5.1 (Storm Water Management Model). An evaluation of two approaches for representing urban floods was carried out based on two 1D/2D model interactions. Two test cases were implemented to validate the model. In general, similar results in terms of peak discharge, water depths and infiltration losses against other 1D/2D models were observed. The results from two 1D/2D model interactions show significant differences in terms of flood extent, maximum flood depths and inundation volume.
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Rangari, V. A., R. Gonugunta, N. V. Umamahesh, A. K. Patel, and C. M. Bhatt. "1D-2D MODELING OF URBAN FLOODS AND RISK MAP GENERATION FOR THE PART OF HYDERABAD CITY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 445–50. http://dx.doi.org/10.5194/isprs-archives-xlii-5-445-2018.

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<p><strong>Abstract.</strong> Space for water is now becoming guiding principle of urban planning because urban flooding is the major problem facing by most of the cities in India. Urban development in developing countries like India usually occurs with high population concentrating in small areas, with poor drainage conditions. People occupy floodplain areas in low flood years and when larger flood occurs it causes high damage. The origin for urban floods is floodplains encroachment and unplanned drainage systems. Complexities in the urban environment and drainage infrastructure have an inherent influence on surface runoff. This runoff generates urban flooding which poses challenges to modeling urban flood hazard and risk. As like in river flooding satellite images are not available for unban flooding scenario. So better modelling provides minimizing loss of life and property. The present study focuses on recognizing the highly effected areas which are liable to flooding when extreme rainfall occurs for part of Hyderabad city (Zone XIII). The entire Hyderabad city is divided into 16 zones and each zone having details of existing drain network. A coupled 1D-2D flood modelling approach is used to identify flood prone areas and develop flood inundation and flood risk maps. 1D model for pilot area is developed using storm water management model (SWMM) and coupled with 2D PCSWMM. A web based GIS platform INPPINS is used to geo reference the existing network details and exported to 1D SWMM model. The model is simulated for extreme flood event occurred in past. The simulation run results identifies overflowing drainage nodes and flood inundation maps and risk maps prepared. The flood risk maps identify the low lying areas which need immediate attention in case of emergency. The overflowing nodes suggest the need of improvement of drainage in the area to safely dispose of the storm water and minimize the flooding.</p>
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Dissertations / Theses on the topic "2D flood inundation modelling"

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Mousavi, Moghaddam Seyedali. "Inundation mapping of urban areas in case of severe rainfall events using HEC-RAS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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The current study investigates the potential of HEC-RAS (2D) in simulating urban inundation patterns in case of sever rainfall scenarios expected in the Ferrara and Rimini cities in Italy. HEC-RAS is one to most known and used hydraulic model for river application, however, its rainfall module is relatively new and sparsely investigated. Comparison of different mesh sizes (10, 25 and 50m) indicated no significant difference in model performance. However, a significant difference was observed in simulation time. Inundation maps were obtained for 5, 20 and 100-year rainfall events. HEC-RAS model outputs are compared against ground evidence and detailed outputs obtained with other modelling scheme: filling-and-spilling algorithm and a two-dimensional (2D) hydraulic numerical model (jn Rimini). For both Ferrara and Rimini case studies, overall index of agreement between HEC-RAS and filling-and-spilling models is up to 88%, while the similarity (i.e., flood area index) between HEC-RAS and 2D hydraulic model simulation at Rimini is equal to 0.64. In general, this study provides addition insights concerning HEC-RAS potential and limitations for identifying pluvial flood-hazard spots across large urban environments.
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Chatzakis, Alexandros. "Calibration of a 2D hydrodynamic model for flood inundation extent using aerial photographs : A case study of the Hallsberg flood event in 5-9 September 2015." Thesis, KTH, Vattendragsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204901.

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Alteration of rainfall patterns is one major impact of climate change. Rainfall events with big precipitation volumes under short periods of time are predicted to become even more frequent in higher latitude regions, including Sweden. One characteristic example of such an intense rainfall occurred between the 5th and 6th of September 2015 in Hallsberg, a city in central Sweden, where approximately 105 mm of rain fell under 24 hours, causing severe flooding in the city. In order to be able to predict flood cases like the aforementioned one, hydrodynamic models are employed to simulate floods and investigate rainfall scenarios so that the competent authorities can take precaution measures. However, due to lack of calibration data most of flood models are not validated and are comprised of substantial uncertainty. This report aims to study the Hallsberg flood event in September 2015 by calibrating a hydrodynamic model using aerial photographs for the flood inundation extent. The utilized model is MIKE 21, which is a 2D overland flow model developed by DHI. Contrary to the common practice in flood studies where inclusion of the infiltration capacity is implemented with an arbitrary reduction of the rain volume, the infiltration module of MIKE 21, which is a new development in the model, was utilized. Apart from the inundation extent, the outputs were also evaluated for the water depth in two points based on a photograph captured from the streets of the affected area, the description of the course of events for the timing of flood’s culmination and the water volume on the pixels that were erroneously simulated as flooded. The results presented a high degree of agreement with the observations. The parameter of surface resistance, expressed as Manning’s “M”, was found to be of paramount importance with the suitable values for undeveloped areas being below 5. In addition, the culverts’ limited capacity played an important role in the flooding of the city and hence including them in the simulations is crucial. Finally, utilization of the infiltration module resulted in a higher accuracy of 8.3% although it can be considered more of an arbitrary deduction of water as some of the parameters used in it are not physically well justified.
Ändringar i nederbördsmönster är en tydlig konsekvens av klimatförändringen. Regnhändelser med stora volymer nederbörd under korta tidsperioder förutses bli alltmer frekventa i regioner vid högre breddgrader, däribland Sverige. Ett karaktäristiskt exempel av en sådan händelse skedde mellan den femte och sjätte september 2015 i Hallsberg. Ca 105 mm regn föll inom loppet av 24 timmar vilket orsakade stora översvämningar i staden. För att kunna förutse översvämningar så som den tidigare nämnd och möjliggöra vidtagning av förebyggande åtgärder används hydrodynamiska modeller för att simulera vattenflöden och undersöka möjliga scenarion av nederbörd. Emellertid, på grund av avsaknaden av data för kalibrering av modellerna medför användandet av dem en signifikant osäkerhet. Syftet med den här rapporten är att undersöka översvämningen i Hallsberg i september 2015 genom att kalibrera en hydrodynamisk modell med hjälp av flygbilder för översvämningens utbredning. Den använda modellen, MIKE 21, är en 2D modell över ytavrinningen utvecklad av DHI. Praxis vid studiet av översvämningar är att inkludera infiltrationsförmåga med ett godtyckligt avdrag av nederbörden. Här används istället infiltreringsmodulen för MIKE 21, vilket är en ny del som har utvecklats i modellen. Förutom översvämningens utbredning utvärderades även resultaten utifrån vattendjupet vid två punkter baseras på ett fotografi från gatorna i det drabbade området. Utvärdering av resultaten gjordes också mot tid av översvämnings kulm från beskrivning av händelses förlopp samt vattenvolym vid pixlarna som felaktigt simulerades som översvämmade. Resultatet visade på en hög grad av samstämmighet med gjorda observationer. Parametern ytans råhet, uttryckt som Mannings ”M”, visade sig vara av stor betydelse med lämpliga värden för underutvecklade områden under 5. Därtill spelade kulvertarnas begränsade kapacitet en viktig roll vid översvämmandet av staden. Att inkludera dessa i simuleringarna var därför avgörande. Slutligen, användandet av infiltreringsmodulen resulterade i en högre noggrannhet av 8.3 %, även om det kan anses vara ett godtyckligt vattenavdrag då vissa av de använda parametrarna inte är fysiskt välmotiverade.
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Schubert, Jochen Erik. "Landscape characterization for flood inundation modelling." Thesis, University of Nottingham, 2009. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690049.

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Willis, Thomas D. M. "Systematic analysis of uncertainty in flood inundation modelling." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/7493/.

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Recent evaluations of 2D models have analysed uncertainty in data inputs into flood models, but have treated the model code as a black box. In this work, the influence of the numerical representation of the model on the results is evaluated. The purpose is not only to understand the significance of the physical scheme in the model on results, but also the importance of this in respect to other known sources of uncertainty, in particular boundary conditions, calibrated parameters such as Manning’s friction values, DEM accuracy and other more subjective forms of uncertainty associated with the choices used by modellers in constructing models, such as building representation. To further explore the impact that the level of physical representation has on model output, models were also analysed using risk and exposure based measures. The methods included vulnerability weighted measures and the use of damage curves from the Multi Coloured Manual. A series of Monte Carlo tests were undertaken for a range of parameters over 3 test cases using the LISFLOOD-FP code. The LISFLOOD-FP code was chosen as it has several formulations for solving 2D floodplain flow within its framework, each with different level of physical representation. The test cases included two urban events, a culvert overtopping event in Glasgow and canal embankment failure Coventry, and a river overtopping in Mexborough, Yorkshire a rural urban domain. The test cases provided a wider range of hydraulic conditions and are reflected events typically assessed with inundation models to ensure the effect of model bias was removed from the results. The results for the test cases indicated that the choice of physical representation was the most critical in affecting model results, particularly for the urban test case. However, the interaction between factors and parameters also indicated that for certain scenarios, this becomes less critical to model results. The use of risk based methods also identified areas of variations between parameters sets and numerical schemes that are not identified with traditional model evaluation techniques. Recent evaluations of 2D models have analysed uncertainty in data inputs into flood models, but have treated the model code as a black box. In this work, the influence of the numerical representation of the model on the results is evaluated. The purpose is not only to understand the significance of the physical scheme in the model on results, but also the importance of this in respect to other known sources of uncertainty, in particular boundary conditions, calibrated parameters such as Manning’s friction values, DEM accuracy and other more subjective forms of uncertainty associated with the choices used by modellers in constructing models, such as building representation. To further explore the impact that the level of physical representation has on model output, models were also analysed using risk and exposure based measures. The methods included vulnerability weighted measures and the use of damage curves from the Multi Coloured Manual. A series of Monte Carlo tests were undertaken for a range of parameters over 3 test cases using the LISFLOOD-FP code. The LISFLOOD-FP code was chosen as it has several formulations for solving 2D floodplain flow within its framework, each with different level of physical representation. The test cases included two urban events, a culvert overtopping event in Glasgow and canal embankment failure Coventry, and a river overtopping in Mexborough, Yorkshire a rural urban domain. The test cases provided a wider range of hydraulic conditions and are reflected events typically assessed with inundation models to ensure the effect of model bias was removed from the results. The results for the test cases indicated that the choice of physical representation was the most critical in affecting model results, particularly for the urban test case. However, the interaction between factors and parameters also indicated that for certain scenarios, this becomes less critical to model results. The use of risk based methods also identified areas of variations between parameters sets and numerical schemes that are not identified with traditional model evaluation techniques.
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Lewis, Matthew. "Uncertainties within future flood risk storm surge inundation modelling." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601160.

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Key uncertainties within inundation modelling of storm tide overflow were investigated for two regions. A northern Bay of Bengal LISFLOOD-FP inundation model was developed from freely available data sources, and forced with a storm surge model (IIDT) hind-cast of the 2007 cyclone Sidr flood event because no quality water-level records exist. Validation showed inundation prediction accuracy, with a Root Mean Squared Error (RMSE) on predicted water-level of...., 2 rn, which was similar in magnitude to the forcing water-level uncertainty. Indeed, when observed natural variability within five key cyclone parameters was propagated through the IID-T storm surge model, extreme water-level uncertainty was found to be very high in the Bay of Bengal, and should be considered in future work (and flood risk managers). Future flood hazard mapping uncertainty is much less in the data rich UK; however, when some key uncertainties were propagated through a North Somerset LISFLOOD•FP inundation model of the 1981 historic flood, storm tide spatial variability was found to significantly affect flood risk estimates, second only to sea level rise. A new method for prescribing the still peak water-level along a coastline was developed (Method C), which characteristics the spatial variability using a relatively short record of modelled extreme water-level events, relative to a tide gauge. Good agreement (RMSE 36 cm) was found between Method C predicted water-levels and tide gauge observations for two historic flood events in East Anglia (1953 and 2007). Furthermore, remotely sensed storm tide observations along the North Somerset coast indicated the accuracy of Method C between tide gauge observations; however, fine-scale wave and bathymetry effects need to be resolved for accurate coastal flood risk estimates in the UK. Indeed, the quantification of uncertainty, and the characterisation of natural variability, is necessary for a robust flood risk prediction.
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Yu, Dapeng. "Diffusion-based modelling of flood inundation over complex floodplains." Thesis, University of Leeds, 2005. http://etheses.whiterose.ac.uk/3360/.

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High-resolution data obtained from airborne remote sensing are increasing opportunities for representation of small-scale structural elements (e. g. walls, buildings) in complex floodplain systems using two-dimensional (2D) models of flood inundation. At the same time, 2D inundation models have been developed and shown to provide good predictions of flood inundation extent, with respect to both full solution of the depth-averaged Navier-Stokes equations and simplified diffusion wave models. However, these models have yet to be applied extensively to urban areas. This study applies a 2D raster-based diffusion wave model, either loosely-coupled or tightly-coupled to a ID river flow model, to determine patterns of fluvial flood inundation in urban areas using high-resolution topographic data. The aim of this study is to explore the interaction between spatial resolution and small-scale flow routing process, through model validation and verification. The model assumes that the prime source of the flood is fluvial: pluvial floods and floods associated with urban drainage systems are not addressed. The topographic data are based upon airborne laser altimetry (LiDAR) obtained for the City of York, U.K. Validation data were available in the form of inundation patterns obtained using aerial photography at a point on the failing limb of the flood event. Inflow data is provided either by a loosely-coupled or a tightly-coupled ID river flow model. The model was used to simulate a major flood event which occurred in the year 2000 in the City of York on the River Ouse at 4 different sites. Applications of the basic model showed that even relatively small changes in model resolution have considerable effects on the predicted inundation extent and timing of flood inundation. Timing sensitivity would be expected given the relatively poor representation of inertial processes in a diffusion wave model. Compared with previous work, sensitivity to inundation extent is more surprising and is associated with three connected effects: (i) the smoothing effect of mesh coarsening upon input topographical data; (ii) poorer representation of both cell blockage and surface routing processes as the mesh is coarsened, where the flow routing is especially complex; and (iii) the effects of (i) and (ii) upon water levels and velocities which in turn determine which parts of the floodplain the flow can actually travel to. The combined effects of wetting and roughness parameters can compensate in part for a coarser mesh resolution. However, the coarser the resolution, the poorer the ability to control the inundation process as these parameters not only affect the speed but also the direction of wetting. Thus, high resolution data will need to be coupled to more sophisticated representation of the inundation process in order to obtain effective predictions of flood inundation extent. A sub grid scale wetting and drying correction approach was developed and tested for use with 2D diffusion wave models of urban flood inundation. The method recognises explicitly that representations of sub grid scale topography using roughness parameters ill provide an inadequate representation of the effects of structural elements on the floodplain (e. g. buildings, walls) as such elements not only act as momentum sinks, but also have mass blockage effects. The latter may dominate, especially in structurally complex urban areas. The approach developed uses high resolution topographic data to develop explicit parameterization of sub grid scale topographic variability to represent both the volume of a grid cell that can be occupied by the flow and the effect of that variability upon the timing and direction of the lateral fluxes. This approach is found to give significantly better prediction of fluvial flood inundation in urban areas as compared with traditional calibration of sub grid-scale effects using Manning's n. In particular, it simultaneously reduces the need to use exceptionally high values of n to represent the effects of using coarser meshes, whilst simultaneously increasing the sensitivity of model predictions to variation in n. Finally, the model was coupled (tightly) to a one-dimensional solution of the Navier-Stokes equations. This showed that significantly better representation of urban inundation could be achieved in a tightly-coupled formulation as a result of better representation of boundary condition effects.
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Kvocka, Davor. "Modelling elevations, inundation extent and hazard risk for extreme flood events." Thesis, Cardiff University, 2017. http://orca.cf.ac.uk/101761/.

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Climate change is expected to result in more frequent occurrences of extreme flood events, such as flash flooding and large scale river flooding. Therefore, there is a need for accurate flood risk assessment schemes in areas prone to extreme flooding. This research study investigates what flood risk assessment tools and procedures should be used for flood risk assessment in areas where the emergence of extreme flood events is possible. The first objective was to determine what type of flood inundation models should be used for predicting the flood elevations, velocities and inundation extent for extreme flood events. Therefore, there different flood inundation model structures were used to model a well-documented extreme flood event. The obtained results suggest that it is necessary to incorporate shock-capturing algorithms in the solution procedure when modelling extreme flood events, since these algorithms prevent the formation of spurious oscillations and provide a more realistic simulation of the flood levels. The second objective was to investigate the appropriateness of the “simplification strategy” (i.e. improving simulation results by increasing roughness parameter) when used as a flood risk assessment modelling tool for areas susceptible to extreme flooding. The obtained results suggest that applying such strategies can lead to significantly erroneous predictions of the peak water levels and the inundation extent, and thus to inadequate flood protection design. The third and final objective was to determine what type of flood hazard assessment methods should be used for assessing the flood hazard to people caused by extreme flooding. Therefore, two different flood hazard assessment criteria were modelled for three extreme flood events. The predicted results suggest that in areas prone to extreme flooding, the flood hazard indices should be predicted with physics-based formulae, as these methods consider all of the physical forces acting on a human body in floodwaters, take into account the rapid changes in the flow regime, which often occur for extreme events, and enable a rapid assessment of the degree of flood hazard to be made in a short time period.
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Schumann, Guy Jean-Pierre. "Water stages from remotely sensed imagery for improved flood inundation modelling." Thesis, University of Dundee, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.703286.

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Hunter, Neil Martin. "Development and assessment of dynamic storage cell codes for flood inundation modelling." Thesis, University of Bristol, 2005. http://hdl.handle.net/1983/c8858588-ee07-4810-aacc-4f1d74d7643a.

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Since 1962 storage cell codes have been developed to simulate flow on fluvial and coastal floodplains. These models treat the floodplain as a series of discrete storage cells, with the flow between cells calculated explicitly using some analytical flow formulae such as the Manning equation. Recently these codes have been reconfigured to use regular Cartesian grids to make full use of widely available high resolution data captured from remote sensing platforms and stored in a raster GIS format. Such raster-based storage cell codes have many of the advantages over full two-dimensional depth averaged schemes but without the computational cost, however their typical implementation results in a number of fundamental limitations. These include an inability to develop solutions that are independent of time step or grid size, and an unrealistic lack of sensitivity to floodplain friction. In this thesis, a new solution to these problems is proposed based on an optimal adaptive time step determined using a Courant-type condition for model stability. Comparison of this new adaptive time step scheme to analytical solutions of wave propagation/recession on flat and sloping planar surfaces and against field measurements acquired for four real flood scenarios demonstrates considerable improvement over a standard raster storage cell model. Moreover, the new scheme is shown to yield results that are independent of grid size or choice of initial time step and which show an intuitively correct sensitivity to floodplain friction over spatially-complex topography. It does, however, incur a prohibitive computation cost at model grid resolutions less than 50 m. This primary research is supplemented by an examination of the data and methods used to apply, and in particular calibrate, distributed flood inundation models in practice. Firstly, different objective functions for evaluating the overall similarity between binary predictions of flood extent and remotely sensed images of inundation patterns are examined. On the basis of the results presented, recommendations are provided regarding the use of various measures for hydrological problems. Secondly, the value of different observational data types typically available for calibrating/constraining model predictions is explored within an extended Generalised Likelihood Uncertainty Estimation (GLUE) framework. A quasi-Bayesian methodology for combining these individual evaluations that overcomes the limitations of calibration against any single measurement source/item is also presented.
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Wong, Jefferson See. "Exploring the impact of uncertainty of river morphology on flood inundation modelling." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701651.

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Our landscape is constantly evolving, and so to are our rivers. These changes can be perturbed due to many factors, including land use and climate change. But also changes in river morphology is a dynamic process that constantly evolves, particularly during extreme flood events. This can result in significant changes in channel morphology over short periods of time. Rivers, and the amount of flow they can convey within bank before their channel capacity is reached, is critical to predicting the extent of flood inundation in both rural and urban areas. An important research question is therefore to what extent are fluvial geomorphological changes critical to the prediction of flood inundation extents during and between events? Furthermore how uncertain are these processes and so can their effects be quantified within a risk based framework? This PhD tries to answer those questions using state-of-the-art flood simulation techniques that also comprehensively characterises the inherent uncertainties involved. Most flood modeling studies ignore the potential for morphological changes to alter channel conveyance and bed roughness, in and between large events. Furthermore the overall bedload and geomorphological catchment processes upstream are rarely considered, particularly within an uncertainty analyses framework. The research here within uses the following approaches to characterize this in 3 core results chapters: Chapter 4 uses simple approach to quantifying the potential changes in channel erosion that occur in flooding events to see the sensitivity to the resultant flood inundation extents predicted for the Cockermouth 2009 November flood event. Chapter 5 applies a catchment scale landscape evolution· model CAESAR-Lisflood to two catchments upstream of Cockermouth within an uncertainty analyses framework. This explored the use of uncertain data in• constraining the model simulations for the period of record available. Chapter 6 uses the constrained (behavioural) model simulations found in chapter 5 to simulate flood events at Cockermouth to see the impact of dynamic geomorphological changes during flood events to the predicted extent of flood inundation and flood depths. The results showed that by the inclusion of sediment transport this greatly changed flood dynamics both in terms of water depth and flow volume, with a wider bound of uncertainty quantified in the flood predictions generated. This has important implications for understanding and predicting flood risk across a range of catchments, particularly those that are more susceptible to ongoing geomorphological changes. Futhermore with the inclusion of sediment transport and the consideration of morphological changes, the uncertainties inherent in the observation data which were used to constrain the catchment behaviour had been accounted for and propagated to the downstream reach. This research showed that the prediction uncertainty bounds had been significantly widened in flood inundation extent, flood volume, and water depths. This reveals that the importance of connectivity between catchment dynamics and downstream behavior and flooding at reach scale cannot be examined in isolation from upstream. Hence, it is important and necessary for flood inundation modeling to consider the associated uncertainties from geomorphological impacts and incorporate both hydrodynamic and morphodynamic aspects for subsequent flood risk assessment.
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Books on the topic "2D flood inundation modelling"

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Floods in a changing climate: Inundation modelling. Cambridge: Cambridge University Press, 2012.

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Baldassarre, Giuliano Di. Floods in a Changing Climate: Inundation Modelling. Cambridge University Press, 2018.

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Baldassarre, Giuliano Di. Floods in a Changing Climate: Inundation Modelling. Cambridge University Press, 2012.

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Baldassarre, Giuliano Di. Floods in a Changing Climate: Inundation Modelling. Cambridge University Press, 2013.

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Baldassarre, Giuliano Di. Floods in a Changing Climate: Inundation Modelling. Cambridge University Press, 2012.

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Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2018.

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Meesuk, Vorawit. Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling. Taylor & Francis Group, 2017.

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Book chapters on the topic "2D flood inundation modelling"

1

Kirstetter, Geoffroy, François Bourgin, Pierre Brigode, and Olivier Delestre. "Real-Time Inundation Mapping with a 2D Hydraulic Modelling Tool Based on Adaptive Grid Refinement: The Case of the October 2015 French Riviera Flood." In Advances in Hydroinformatics, 335–46. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5436-0_25.

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Pender, Gareth, and Sylvain Ne′elz. "Flood Inundation Modelling to Support Flood Risk Management." In Flood Risk Science and Management, 234–57. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444324846.ch12.

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Mason, David C., Guy J-p. Schumann, and Paul D. Bates. "Data Utilization in Flood Inundation Modelling." In Flood Risk Science and Management, 209–33. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444324846.ch11.

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Bates, Paul D., M. S. Horritt, D. Cobby, and D. Mason. "Flood Inundation Modelling Using LiDAR and SAR Data." In Spatial Modelling of the Terrestrial Environment, 79–106. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470094001.ch5.

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Neal, Jeffrey. "Recent Innovations in Flood Hazard Modelling Over Large Data Sparse Regions." In Springer Climate, 121–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86211-4_15.

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AbstractThis opinion piece summarises recent progress in the development of global flood models (GFMs) in support of flood impact modelling and identifies potential areas for model improvement over the next 5–10 years. In many parts of the world, flood hazard data are absent or lack the accuracy and precision required for most practical applications, including climate change impact assessment. With the hydrological cycle expected to intensify due to climate change, better modelling of flood hazard is needed as a prerequisite to understanding how flood risk might change in the future with climate. The past decade has seen substantial advances in the modelling of flood inundation in data scarce areas along with the emergence of global flood models that could form the foundation of global impact assessments. In summarising these advances, four key themes emerge linked to topography, extreme flow estimation, river network parameterisation and numerical modelling of inundation. Progress in each of these themes will be needed to deliver the next generation of global flood hazard data.
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Lee, Seungsoo. "Integrated 1D/2D Urban Inundation Modelling with Refined Grid and OpenMP Parallelization." In New Trends in Urban Drainage Modelling, 566–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_97.

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Kumar, Lalit, Mohammad Saud Afzal, and Shivshankar Chalwad. "Flood Inundation Mapping Using HEC-RAS 2D in Sangli City of Krishna River Basin, Maharashtra (India)." In Lecture Notes in Mechanical Engineering, 135–44. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6490-8_12.

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Surwase, Tushar, G. SrinivasaRao, P. Manjusree, Asiya Begum, P. V. Nagamani, and G. JaiSankar. "Flood Inundation Simulation of Mahanadi River, Odisha During September 2008 by Using HEC-RAS 2D Model." In Springer Series in Geomechanics and Geoengineering, 851–63. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77276-9_77.

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Dodov, B., R. Arsov, and P. Marinov. "Analytical Reproduction of Radar Images of Rainfall Spatial (2D) Distribution as an Input to GIS Based Flood Modelling." In Flood Issues in Contemporary Water Management, 271–81. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4140-6_28.

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Rashid Mohd Shah, Mohd, Lariyah Mohd Sidek, Mohd Ruzaimei Yalit, Mohammad Marufuzzaman, Hidayah Basri, and Mustapha Kamal Yaacob. "2D Hydraulic Modelling of Dam Break Analysis Using MIKE FLOOD for Kenyir Dam." In Water Resources Development and Management, 214–25. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1971-0_22.

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Conference papers on the topic "2D flood inundation modelling"

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Chen-Jia Huang, Ming-Hsi Hsu, and Sen-Hai Yeh. "Distributed computation of 2D inundation modelling." In 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2015. http://dx.doi.org/10.1109/icccnt.2015.7395222.

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Cahya, Ilham, and Suntoyo. "Hydrodynamic Modelling of Flood Inundation on Welang River, Indonesia." In The 7th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0010218602690274.

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Cahya, Ilham, and Suntoyo. "Hydrodynamic Modelling of Flood Inundation on Welang River, Indonesia." In The 7th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0010218602450250.

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"Probabilistic flood hydrographs using Monte Carlo simulation: potential impact to flood inundation mapping." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l8.loveridge.

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"Blending NPP-VIIRS and Landsat OLI images for flood inundation monitoring." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l11.huang.

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"GIS-based spatial zoning for flood inundation modelling in the Murray–Darling Basin." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.h5.huang.

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"Investigating detailed impacts of climate change on flood inundation: a case-study from Tasmania." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.i8.brown.

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Chakrabarty, A. "Real Time Flood Inundation Modelling for Midnapore-Kharagpur Development Authority (MKDA) Planing Region." In 76th EAGE Conference and Exhibition 2014. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141266.

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Bhandari, Manahari, Narayan Nyaupane, Shekhar Raj Mote, Ajay Kalra, and Sajjad Ahmad. "2D Unsteady Flow Routing and Flood Inundation Mapping for Lower Region of Brazos River Watershed." In World Environmental and Water Resources Congress 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480625.027.

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"A comparison of Landsat and MODIS flood inundation maps for hydrodynamic modelling in the Murray Darling Basin." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l5.ticehurst.

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Reports on the topic "2D flood inundation modelling"

1

Baird, Laura, and M. G. Anderson. Flood Inundation Modelling Using MILHY. Volume 2. Fort Belvoir, VA: Defense Technical Information Center, June 1989. http://dx.doi.org/10.21236/ada213278.

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Baird, L., and M. G. Anderson. Flood Inundation Modelling Using Milhy. Volume 1. User Manual. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada229413.

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