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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Ng, Z. F., J. I. Gisen, and A. Akbari. "Flood Inundation Modelling in the Kuantan River Basin using 1D-2D Flood Modeller coupled with ASTER-GDEM." IOP Conference Series: Materials Science and Engineering 318 (March 19, 2018): 012024. http://dx.doi.org/10.1088/1757-899x/318/1/012024.
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Fadl-Elmola, Salman A. M., Cristian Moisescu Ciocan, and Ioana Popescu. "Application of Smooth Particle Hydrodynamics to Particular Flow Cases Solved by Saint-Venant Equations." Water 13, no. 12 (June 16, 2021): 1671. http://dx.doi.org/10.3390/w13121671.
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Smoothed particle hydrodynamics (SPH) is a Lagrangian mesh free particle method which has been developed and widely applied to different areas in engineering. Recently, the SPH method has also been used to solve the shallow water equations, resulting in (SPH-SWEs) formulations. With the significant developments made, SPH-SWEs provide an accurate computational tool for solving problems of wave propagation, flood inundation, and wet-dry interfaces. Capabilities of the SPH method to solve Saint-Venant equations have been tested using a SPH-SWE code to simulate different hydraulic test cases. Results were compared to other established and commercial hydraulic modelling packages that use Eulerian approaches. The test cases cover non-uniform steady state profiles, wave propagation, and flood inundation cases. The SPH-SWEs simulations provided results that compared well with other established and commercial hydraulic modeling packages. Nevertheless, SPH-SWEs simulations experienced some drawbacks such as loss of inflow water volume of up to 2%, for 2D flood propagation. Simulations were carried out using an open source solver, named SWE-SPHysics.
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Makinano-Santillan, M. M., and J. R. Santillan. "MAPPING LAND COVER CHANGE AND MODELLING ITS IMPACTS ON THE INUNDATION RESPONSES OF THE AGUSAN MARSH, MINDANAO, PHILIPPINES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 595–602. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-595-2021.
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Abstract. Monitoring of environmental changes is one of the most popular applications of satellite remote sensing. In this study, we applied satellite remote sensing to map and monitor changes in land cover of Agusan Marsh, one of the most ecologically significant wetlands, and an important region of biodiversity in the Philippines. Multi-temporal land cover maps of the Agusan Marsh over a 22-year period from 1995 to 2017 were generated through Maximum Likelihood classification of Landsat 5, TM, ETM+ and OLI images. Post-classification change detection of the land-cover maps showed that more than 60% of the marsh is naturally vegetated during the mapping period. Agricultural/cultivated areas were the second dominant land cover and were found to be increasing through the years while wetland vegetation generally showed a downward trend. Two-dimensional (2D) flood modelling using HEC RAS was also performed to estimate how the Agusan Marsh would react to extreme rainfall events in terms of depth and extent of inundations. Simulation results showed that the Agusan Marsh responded differently for each year in terms of inundation depth and extent. These results of the combined satellite remote sensing + 2D modelling approach implemented in this study would be essential to better understand landscape patterns in the Agusan Marsh, including changes and interactions between human activities and natural phenomenon such as flooding for proper marsh management and improved decision-making.
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Papaioannou, George, George Varlas, Galateia Terti, Anastasios Papadopoulos, Athanasios Loukas, Yiannis Panagopoulos, and Elias Dimitriou. "Flood Inundation Mapping at Ungauged Basins Using Coupled Hydrometeorological–Hydraulic Modelling: The Catastrophic Case of the 2006 Flash Flood in Volos City, Greece." Water 11, no. 11 (November 7, 2019): 2328. http://dx.doi.org/10.3390/w11112328.
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Nowadays, as extreme weather increasingly threatens human health and economy, early warning system approaches are critical for timely preparedness and response. Towards the implementation of a multi-model forecasting system for flood hazards, this study presents a coupled application of three (3) models: The WRF-ARW weather model, the WRF-Hydro hydrological model, and the HEC-RAS 2D hydraulic model. A flash flood event that occurred on 9 October 2006 in Volos city, Greece, is used as a case study to assess the accuracy of the integrated modelling approach to simulate the flood hydrograph and flood extent in Xerias ungauged catchment. The hydrometeorological simulation results indicated a severe persistent storm over Pelion mountain at the northeast of Volos, as the main factor of the major flash flood and extensive impacts. Historical flood records retrieved by several conventional and non-conventional sources are used to validate the flooded area. Compared to the collected data and prior studies, the generated inundation map of Xerias river is found to realistically capture highly impacted areas which experienced infrastructure damage and human rescues from inundated roads and buildings. Results from our analyses show that the proposed physically-based modelling approach can give reliable inputs into flood risk management.
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Wei, Huaibin, Liyuan Zhang, and Jing Liu. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou." International Journal of Environmental Research and Public Health 19, no. 22 (November 8, 2022): 14630. http://dx.doi.org/10.3390/ijerph192214630.
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In recent years, urban flooding has become an increasingly serious problem, posing a serious threat to socio-economic development and personal safety. In this paper, we consider the Dongfeng Canal area in Zhengzhou City as an example and build a 1D/2D coupled urban flood model using the InfoWorks ICM. This study area uses six scenarios with rainfall return periods of 5 a, 20 a, and 50 a, corresponding to rainfall ephemeris of 1 h and 2 h to assess the flood risk. The results of the study show that (1) The flood depth, inundation duration, and extent of inundation in the study area vary with the return period and rainfall history. Generally, most of the water accumulation is concentrated in the low-lying areas adjacent to the river and near the roadbed. (2) As the rainfall recurrence period and rainfall duration increase, the proportion of overflow at the nodes becomes more pronounced and the overload from the pipe network flows mainly to the overload. (3) The high-risk areas under the different scenarios are mainly distributed on both sides of the river, and most of the low-risk areas transform into medium- and high-risk areas as the rainfall recurrence period and rainfall duration increase. This study analyses the flood risk situation under different scenarios, as well as the elements and areas that should be monitored in case of flooding, with the aim of providing a reference for flood prevention and control in the study area and formulating corresponding countermeasures. It also serves as a reference for flood risk analysis in other areas with similar situations.
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Domeneghetti, A. "Effects of minor drainage networks on flood hazard evaluation." Proceedings of the International Association of Hydrological Sciences 364 (September 16, 2014): 192–97. http://dx.doi.org/10.5194/piahs-364-192-2014.
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Abstract. Scientific literature reports a plethora of numerical tools of different complexity (e.g. 1D, 2D raster-based or full 2D models) for flood hazard and flood risk evaluation. The correct identification of the appropriate model still represents a key aspect in the overall flood hazard process even though the potential of these modelling instruments are increased by the availability of high computational resources and by the amount of high-resolution topographic data provided by recent survey techniques. Given this context the present analysis investigates the effects of minor drainage networks on the estimation of flood hazard in a flood-prone area along the Enza River, close to the village of Sorbolo a Levante (RE, northern Italy). By means of a full 2D hydraulic model (Telemac-2D), the effects of the drainage system is analysed using three unstructured meshes with different degrees of complexity: (1) the minor drainage system allows the possibility to convey water outside the study area (REF); (2) the drainage system is reproduced only in terms of preferential flow-paths (REF-noFlow); (3) the drainage network is completely neglected (REF-noDN). The analysis indicates that the maximum flood extent seems not to be influenced by the mesh schematization, while water depths and the total volume are significantly related to the model schematization. Even if this analysis refers to a specific case study and further investigations are needed, it shows the fundamental role of the drainage network in controlling water depth distribution and the duration of the inundation, which should be accurately reproduced by numerical models.
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Scorzini, Anna, Alessio Radice, and Daniela Molinari. "A New Tool to Estimate Inundation Depths by Spatial Interpolation (RAPIDE): Design, Application and Impact on Quantitative Assessment of Flood Damages." Water 10, no. 12 (December 8, 2018): 1805. http://dx.doi.org/10.3390/w10121805.
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Rapid tools for the prediction of the spatial distribution of flood depths within inundated areas are necessary when the implementation of complex hydrodynamic models is not possible due to time constraints or lack of data. For example, similar tools may be extremely useful to obtain first estimates of flood losses in the aftermath of an event, or for large-scale river basin planning. This paper presents RAPIDE, a new GIS-based tool for the estimation of the water depth distribution that relies only on the perimeter of the inundation and a digital terrain model. RAPIDE is based on a spatial interpolation of water levels, starting from the hypothesis that the perimeter of the flooded area is the locus of points having null water depth. The interpolation is improved by (i) the use of auxiliary lines, perpendicular to the river reach, along which additional control points are placed and (ii) the possibility to introduce a mask for filtering interpolation points near critical areas. The reliability of RAPIDE is tested for the 2002 flood in Lodi (northern Italy), by comparing the inundation depth maps obtained by the rapid tool to those from 2D hydraulic modelling. The change of the results, related to the use of either method, affects the quantitative estimation of direct damages very limitedly. The results, therefore, show that RAPIDE can provide accurate flood depth predictions, with errors that are fully compatible with its use for river-basin scale flood risk assessments and civil protection purposes.
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García-Feal, Orlando, José González-Cao, Moncho Gómez-Gesteira, Luis Cea, José Domínguez, and Arno Formella. "An Accelerated Tool for Flood Modelling Based on Iber." Water 10, no. 10 (October 16, 2018): 1459. http://dx.doi.org/10.3390/w10101459.
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This paper presents Iber+, a new parallel code based on the numerical model Iber for two-dimensional (2D) flood inundation modelling. The new implementation, which is coded in C++ and takes advantage of the parallelization functionalities both on CPUs (central processing units) and GPUs (graphics processing units), was validated using different benchmark cases and compared, in terms of numerical output and computational efficiency, with other well-known hydraulic software packages. Depending on the complexity of the specific test case, the new parallel implementation can achieve speedups up to two orders of magnitude when compared with the standard version. The speedup is especially remarkable for the GPU parallelization that uses Nvidia CUDA (compute unified device architecture). The efficiency is as good as the one provided by some of the most popular hydraulic models. We also present the application of Iber+ to model an extreme flash flood that took place in the Spanish Pyrenees in October 2012. The new implementation was used to simulate 24 h of real time in roughly eight minutes of computing time, while the standard version needed more than 15 h. This huge improvement in computational efficiency opens up the possibility of using the code for real-time forecasting of flood events in early-warning systems, in order to help decision making under hazardous events that need a fast intervention to deploy countermeasures.
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Venâncio, Stênio De Sousa, José Luís Pinho, José Manuel Vieira, Paulo Avilez-Valente, and Isabel Iglesias. "Analysis of estuarine flood levels based on numerical modelling. The Douro river estuary case study." Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental 23 (June 27, 2019): 14. http://dx.doi.org/10.5902/2236117038538.
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Estuarine hydrodynamics present intermittent and complex circulation patterns. In this context, from the point of view of the coastal management associated with flood risks in riverine areas, numerical models allow predicting scenarios under specific hypotheses. This work simulates flood events occurring in the Douro river estuary recurring to numerical modelling tools. This estuary, located in the northern region of Portugal, periodically suffered severe flooding, with the associated losses and damages for the local protected landscape areas and hydraulic structures. The occurrence of these events justify the importance of a complete characterization of the areas that present risk of inundation and how they can be affected. A 2D-horizontal numerical model implemented with the Delft3D software was developed for this estuarine region including also the adjacent coastal zone. Available in-situ data were used for model calibration and validation processes. The obtained results are consistent with the in-situ measured water levels, allowing to understand the dynamics of the estuary during flood events. The robustness of the implemented numerical model allows to anticipate flood scenarios effects and associated water levels. The simulations results can then be used for sustainable management of this estuarine zone that presents high social, economic and environmental values.
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Vu, Tung, Phuoc Nguyen, Lloyd Chua, and Adrian Law. "Two-Dimensional Hydrodynamic Modelling of Flood Inundation for a Part of the Mekong River with TELEMAC-2D." British Journal of Environment and Climate Change 5, no. 2 (January 10, 2015): 162–75. http://dx.doi.org/10.9734/bjecc/2015/12885.
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Quiroga, V. Moya, I. Popescu, D. P. Solomatine, and L. Bociort. "Cloud and cluster computing in uncertainty analysis of integrated flood models." Journal of Hydroinformatics 15, no. 1 (July 18, 2012): 55–70. http://dx.doi.org/10.2166/hydro.2012.017.
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There is an increased awareness of the importance of flood management aimed at preventing human and material losses. A wide variety of numerical modelling tools have been developed in order to make decision-making more efficient, and to better target management actions. Hydroinformatics assumes the holistic integrated approach to managing the information propagating through models, and analysis of uncertainty propagation through models is an important part of such studies. Many popular approaches to uncertainty analysis typically involve various strategies of Monte Carlo sampling of uncertain variables and/or parameters and running a model a large number of times, so that in the case of complex river systems this procedure becomes very time-consuming. In this study the popular modelling systems HEC-HMS, HEC-RAS and Sobek1D2D were applied to modelling the hydraulics of the Timis–Bega basin in Romania. We considered the problem of studying how the flood inundation is influenced by uncertainties in water levels of the reservoirs in the catchment, and uncertainties in the digital elevation model (DEM) used in the 2D hydraulic model. For this we used cloud computing (Amazon Elastic Compute Cloud platform) and cluster computing on the basis of a number of office desktop computers, and were able to show their efficiency, leading to a considerable reduction of the required computer time for uncertainty analysis of complex models. The conducted experiments allowed us to associate probabilities to various areas prone to flooding. This study allows us to draw a conclusion that cloud and cluster computing offer an effective and efficient technology that makes uncertainty-aware modelling a practical possibility even when using complex models.
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Mubialiwo, Ambrose, Adane Abebe, Nafyad Serre Kawo, Job Ekolu, Saralees Nadarajah, and Charles Onyutha. "Hydrodynamic Modelling of Floods and Estimating Socio-economic Impacts of Floods in Ugandan River Malaba Sub-catchment." Earth Systems and Environment 6, no. 1 (January 2022): 45–67. http://dx.doi.org/10.1007/s41748-021-00283-w.
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AbstractRiver Malaba sub-catchment tends to experience dramatic flooding events, with several socio-economic impacts to the nearby communities, such as loss of lives and destructions of physical infrastructure. Analysis of spatiotemporal extents to which settlements, crops and physical infrastructures tend to be inundated are vital for predictive planning of risk-based adaptation measures. This paper presents a case study on flood risk assessment for Ugandan River Malaba sub-catchment. We applied the two-dimensional Hydraulic Engineering Center’s River Analysis System (2D HEC-RAS) for modelling of flooding extents. We considered extreme flow quantiles, lower and upper quantiles corresponding to the 95% confidence interval limits aimed at determining uncertainties in the flooding extents. Spatial extents of inundation on human settlement, land cover and infrastructure were analysed with respect to return periods of extreme flow quantiles. Finally, we estimated economic loss on infrastructure due to flooding. Results from the 2D HEC-RAS model were satisfactorily comparable with the results of observations. Amongst the land use types, cropland exhibited the highest vulnerability with at least 10,234.8 hectare (ha) susceptible to flooding event of 100-year return period (YRP). Inundated built-up land-use exhibited the highest vulnerability percentage increase (90%) between 2- and 100-YRP. In US Dollar, about US$ 33 million and US$ 39 million losses are estimated at 2- and 100-YRP, respectively, due to inundated rice gardens and these indicate a looming high risk of household food insecurity and poverty. Several infrastructure including 15 academic institutions, 12 health facilities, 32 worshiping places remain annually vulnerable to flooding. At least 6 km and 7 km of road network are also susceptible to flooding under extreme flows of return periods 2 and 100 years, respectively. Churches exhibited the highest economic losses of US$ 855,065 and US$ 1,623,832 at 2-YRP and 100-YRP, respectively. This study findings are relevant for planning the development of sustainable flood risk adaptation pathways given the established destructions within the sub-catchment due to flooding.
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Hofmann, Julian, and Holger Schüttrumpf. "floodGAN: Using Deep Adversarial Learning to Predict Pluvial Flooding in Real Time." Water 13, no. 16 (August 18, 2021): 2255. http://dx.doi.org/10.3390/w13162255.
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Using machine learning for pluvial flood prediction tasks has gained growing attention in the past years. In particular, data-driven models using artificial neuronal networks show promising results, shortening the computation times of physically based simulations. However, recent approaches have used mainly conventional fully connected neural networks which were (a) restricted to spatially uniform precipitation events and (b) limited to a small amount of input data. In this work, a deep convolutional generative adversarial network has been developed to predict pluvial flooding caused by nonlinear spatial heterogeny rainfall events. The model developed, floodGAN, is based on an image-to-image translation approach whereby the model learns to generate 2D inundation predictions conditioned by heterogenous rainfall distributions—through the minimax game of two adversarial networks. The training data for the floodGAN model was generated using a physically based hydrodynamic model. To evaluate the performance and accuracy of the floodGAN, model multiple tests were conducted using both synthetic events and a historic rainfall event. The results demonstrate that the proposed floodGAN model is up to 106 times faster than the hydrodynamic model and promising in terms of accuracy and generalizability. Therefore, it bridges the gap between detailed flood modelling and real-time applications such as end-to-end early warning systems.
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Cruz, A. C. E., J. M. D. Dizon, R. B. L. M. Mediavillo, B. O. Nepomuceno, A. Cunanan-Yabut, and J. M. B. Vergel. "TWO-DIMENSIONAL HYDRODYNAMIC MODELLING OF URBAN FLOOD INUNDATION CAUSED BY THE SOUTHWEST MONSOON TO CHARACTERIZE THE IMPACT OF TWENTY-YEAR DIFFERENCE IN LAND USE IN VALENZUELA-OBANDO-MEYCAUAYAN (VOM) USING FLO-2D." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W19 (December 23, 2019): 133–40. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w19-133-2019.
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Abstract. The intensity of urban flooding area due to rapid urbanization in Metro Manila has been worsening over the years caused by the torrential rains brought by the Southwest Monsoon. To further characterize the impact of land use change influenced by urbanization, we compared the flood map generated from two periods (Year 200 & Year 2020) using a two-dimensional hydrodynamic modelling simulated in FLO-2D software. In our simulations, we assigned roughness coefficient values to corresponding land use category derived from an earlier study in the area previously spearhead by JICA in 2001. Each model will incorporate the implemented Year 2000 land use and the projected Year 2010 land use classification respectively, which were used in this earlier study. Meanwhile, both models will use the same sets of parameters for the simulation: IFSAR-derived DEM elevation model and a rainfall event with 10-yr return period. The area of interest of this study is located near Valenzuela-Obando-Meycauayan (VOM) with its boundaries defined from the National Mapping and Resource Information Authority. The flood simulations conducted do not take into consideration in existing flood control measures such as drainage systems and floodwalls to minimize the complexity of the model. The results are evaluated both quantitatively and qualitatively. According to the results, the impact of the land use change on flood formation in most areas are insignificant due to a low degree of land use change. However, there has been substantial impact on flooding in specific areas where there is a major change in the land use. For further studies, we recommend the use of a longer land use change period and the consideration of more varied and precise Manning’s n-values.
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Zhao, Long, and Guoqing Sang. "Flood Inundation Analysis of Xun River Based on 1D and 2D Hydrodynamic Coupling Model." Journal of Physics: Conference Series 2271, no. 1 (May 1, 2022): 012005. http://dx.doi.org/10.1088/1742-6596/2271/1/012005.
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Abstract The Xun River is prone to flooding due to its tortuous course and low flood control standards. In this paper, the 1D and 2D hydrodynamic coupling model is used to simulate the flood situation of the Xun River in different return periods, obtain the initial inundation time, maximum inundation depth, maximum inundation area and other information of the flood, and comprehensively analyse the changes in the flood area of different water depth and different townships. The results show that with the increase of return period, the flood inundation range and inundation depth also increase, and the initial inundation time of the flood decreases; the proportion of shallow water areas of 0.05-0.5 meters decreases, and the proportion of deep water areas exceeding 3 meters increases; compared with the flood situation in different townships, Zhonglou Town is more seriously affected, and the area and population of various assets affected by the flood in Zhonglou Town are greater than that of Huangdun Town. This research provides guiding significance for the prevention and control of flood disasters in the Xun River and the rescue and disaster relief.
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Adane, Amare, and Brook Abate. "RIVER MODELING FOR FLOOD INUNDATION MAP PREDICTIONS USING 2D-HEC-RAS HYDRAULIC MODELING WITH INTEGRATION OF GIS." ASEAN Engineering Journal 12, no. 1 (February 28, 2022): 9–15. http://dx.doi.org/10.11113/aej.v12.16483.
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Floods are natural disasters which if occurred produce damage to property and human life. The study of floods is important for protection of properties and human life risk. This study focuses on flooding characteristics in the flood plain of Tikurwha river catchment using two-dimensional (2D) hydrodynamic modeling. The flood inundation map of the flood prone areas is carried out using HEC-RAS 2D models with incorporation of Arc-GIS tools. Hence, using the magnitude of the flood at 2, 10, 50- and 100-year return period with a respective value of 72, 98.69, 123 and 135 (m3/s). The output of flood hazard inundation maps are carried out in 2D HEC-RAS Mapper in which the flood area at a respective return period’s flood magnitude are 75 ha, 102 ha, 108 ha, and 122 ha respectively. Based on the obtained flood inundation area, the economic impact of the flood at the specified return periods are estimated as 1791.99, 2436.89, 2589.45, and 2914.861 quintals of crop production were damaged due to flooding at respective return periods of 2, 10, 50 and 100 years.
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Kim, Gwangseob, and Hyungon Cho. "Development of an Urban Flood Forecast Model Using Lumped Pipe Networks." Journal of the Korean Society of Hazard Mitigation 22, no. 6 (December 31, 2022): 79–88. http://dx.doi.org/10.9798/kosham.2022.22.6.79.
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Typical urban flood simulation is conducted using physical models such as the 1D storm water analysis model and 2D inundation analysis model. Although 2D inundation analysis can predict flow velocity, inundation depth, and inundation area throughout an inundated urban area, it is difficult for it to produce a near real-time urban flood forecast for a metropolitan area such as Seoul. In this study, a physical urban flood forecast model was developed using lumped pipe networks to produce a near real-time urban inundation forecast. The dense pipe networks within a drainage basin were simplified as a single conceptual lumped pipe that has drainage and storage functions, and new pipe networks were constructed using lumped pipe networks. The model was applied to the August 2018 storm events in Seoul and showed a prediction accuracy of 0.71. The results demonstrated that the model can obviate the limitations of the near real-time operation of existing physical flood forecasting models to yield useful information for urban flood response, though showing room for improvement.
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Bates, Paul D. "Remote sensing and flood inundation modelling." Hydrological Processes 18, no. 13 (August 27, 2004): 2593–97. http://dx.doi.org/10.1002/hyp.5649.
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Niroshinie, M. A. C., Yasuo Nihei, Kazuaki Ohtsuki, and Shoji Okada. "Flood Inundation Analysis and Mitigation with a Coupled 1D-2D Hydraulic Model: A Case Study in Kochi, Japan." Journal of Disaster Research 10, no. 6 (December 1, 2015): 1099–109. http://dx.doi.org/10.20965/jdr.2015.p1099.
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Coupled one and two-dimensional (1D-2D) hydraulic models play a significant role in analyzing flooding problems to find possible solutions as they can reproduce the actual situations relatively accurately. This paper summarizes approaches to flood inundation analysis and mitigation with coupled 1D-2D hydraulic models of a small mountain watershed in Japan. A detailed flood inundation model including the effects of drainages, pumping, inflow from mountain sub-watersheds and flood gates is developed using coupled 1D-2D hydraulic models. The model is applied to the inundation in Kubokawa, a small town in Kochi Prefecture, Japan on August 9-10, 2014. Simulated and observed maximum water levels along the river and maximum inundations in the flood plain are compared and found to be consistent. Causes of the flooding and percentage of contribution are quantitatively identified, and countermeasures to reduce the effects of flooding are proposed.
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Kim, Hyun, Ho Keum, and Kun Han. "Real-Time Urban Inundation Prediction Combining Hydraulic and Probabilistic Methods." Water 11, no. 2 (February 8, 2019): 293. http://dx.doi.org/10.3390/w11020293.
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Damage caused by flash floods is increasing due to urbanization and climate change, thus it is important to recognize floods in advance. The current physical hydraulic runoff model has been used to predict inundation in urban areas. Even though the physical calculation process is astute and elaborate, it has several shortcomings in regard to real-time flood prediction. The physical model requires various data, such as rainfall, hydrological parameters, and one-/two-dimensional (1D/2D) urban flood simulations. In addition, it is difficult to secure lead time because of the considerable simulation time required. This study presents an immediate solution to these problems by combining hydraulic and probabilistic methods. The accumulative overflows from manholes and an inundation map were predicted within the study area. That is, the method for predicting manhole overflows and an inundation map from rainfall in an urban area is proposed based on results from hydraulic simulations and uncertainty analysis. The Second Verification Algorithm of Nonlinear Auto-Regressive with eXogenous inputs (SVNARX) model is used to learn the relationship between rainfall and overflow, which is calculated from the U.S. Environmental Protection Agency’s Storm Water Management Model (SWMM). In addition, a Self-Organizing Feature Map (SOFM) is used to suggest the proper inundation area by clustering inundation maps from a 2D flood simulation model based on manhole overflow from SWMM. The results from two artificial neural networks (SVNARX and SOFM) were estimated in parallel and interpolated to provide prediction in a short period of time. Real-time flood prediction with the hydraulic and probabilistic models suggested in this study improves the accuracy of the predicted flood inundation map and secures lead time. Through the presented method, the goodness of fit of the inundation area reached 80.4% compared with the verified 2D inundation model.
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Li, Guo, Huadong Zhao, Chengshuai Liu, Jinfeng Wang, and Fan Yang. "City Flood Disaster Scenario Simulation Based on 1D–2D Coupled Rain–Flood Model." Water 14, no. 21 (November 4, 2022): 3548. http://dx.doi.org/10.3390/w14213548.
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In order to realize the reproduction and simulation of urban rainstorm and waterlogging scenarios with complex underlying surfaces, based on the 1D–2D coupled models, we constructed an urban storm–flood coupling model considering one-dimensional river channels, two-dimensional ground and underground pipe networks. Luoyang City, located in the western part of Henan Province, China was used as a pilot to realize the construction of a one-dimensional and two-dimensional coupled urban flood model and flood simulation. The coupled model was calibrated and verified by the submerged water depths of 16 survey points in two historical storms flood events. The average relative error of the calibration simulated water depth was 22.65%, and the average absolute error was 13.93 cm; the average relative error of the verified simulated water depth was 15.27%, the average absolute error was 7.54 cm, and the simulation result was good. Finally, 28 rains with different return periods and different durations were designed to simulate and analyze the rainstorm inundation in the downtown area of Luoyang. The result shows that the R2 of rainfall and urban rainstorm inundation is 0.8776, and the R2 of rainfall duration and urban rainstorm inundation is 0.8141. The study results have important practical significance for urban flood prevention, disaster reduction and traffic emergency management.
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Peña, Francisco, and Fernando Nardi. "Floodplain Terrain Analysis for Coarse Resolution 2D Flood Modeling." Hydrology 5, no. 4 (September 21, 2018): 52. http://dx.doi.org/10.3390/hydrology5040052.
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Hydraulic modeling is a fundamental tool for managing and mitigating flood risk. Developing low resolution hydraulic models, providing consistent inundation simulations with shorter running time, as compared to high-resolution modeling, has a variety of potential applications. Rapid coarse resolution flood models can support emergency management operations as well as the coupling of hydrodynamic modeling with climate, landscape and environmental models running at the continental scale. This work sought to investigate the uncertainties of input parameters and bidimensional (2D) flood wave routing simulation results when simplifying the terrain mesh size. A procedure for fluvial channel bathymetry interpolation and floodplain terrain data resampling was investigated for developing upscaled 2D inundation models. The proposed terrain processing methodology was tested on the Tiber River basin evaluating coarse (150 m) to very coarse (up to 700 m) flood hazard modeling results. The use of synthetic rectangular cross sections, replacing surveyed fluvial channel sections, was also tested with the goal of evaluating the potential use of geomorphic laws providing channel depth, top width and flow area when surveyed data are not available. Findings from this research demonstrate that fluvial bathymetry simplification and DTM resampling is feasible when the terrain data resampling and fluvial cross section interpolation are constrained to provide consistent representation of floodplain morphology, river thalweg profile and channel flow area. Results show the performances of low-resolution inundation simulations running in seconds while maintaining a consistent representation of inundation extents and depths.
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Sarchani, Sofia, Konstantinos Seiradakis, Paulin Coulibaly, and Ioannis Tsanis. "Flood Inundation Mapping in an Ungauged Basin." Water 12, no. 6 (May 27, 2020): 1532. http://dx.doi.org/10.3390/w12061532.
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An increase in severe precipitation events of higher intensity are expected to occur in the southeastern Mediterranean due to intensification of the hydrological cycle caused by climate change. Results of the climate change model’s precipitation data for the period 1970–2100 show a decreasing trend of daily precipitation but of higher intensity. Post-flood field investigation from a severe rainfall event in a small ungauged basin located in northwest Crete produced a validated flow hydrograph, and in combination with two high-resolution digital elevation models (DEMs), were used in the 1D/2D HEC-RAS (Hydrologic Engineering Center’s River Analysis System model), in order to determine the flooded area extent. Lateral structures were designed along the stream’s overbanks, hydraulically connecting the 1D streamflow with the 2D flow areas behind levees. Manning’s roughness coefficient and the weir coefficient were the most crucial parameters in the estimation of floodplain extent. The combined 1D/2D hydraulic model provides more detailed results than the 1D model with regards to the floodplain extent at the peak outflow, maximum flood depths, and wave velocities. Furthermore, modeling with a DEM at 2 m spatial resolution showed more precise water depth output and inundated floodplains. Scenarios of increasing peak precipitation for the same event precipitation depth were used to identify the flood extent due to an increase in daily rainfall recorded by adjacent meteorological stations. These simulation results can be useful in flood risk mapping and informing civil protective measures in flood basin management, for an effective adaptation to increased flood risk caused by a changing climate.
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Derka, Icha, Entin Hidayah, and Gusfan Halik. "Performance of UAV Image for Flood Mapping with 2 Dimensional Model in Kaliputih River, Panti District." Geosfera Indonesia 7, no. 3 (December 24, 2022): 264. http://dx.doi.org/10.19184/geosi.v7i3.30169.
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In January 2006, the flash flood in Panti Sub-district was a national disaster, causing damage to building infrastructure and fatalities. From this incident, it is necessary to have flood mitigation by providing a map of the distribution of flood inundation using a 2D hydraulic model to provide information regarding the extent of flood inundation in the study area. Due to the limited DEM data for 2D modeling, it is necessary to use UAV images to provide a DSM with good and higher resolution. This study aims to assess the performance of 2D flood modeling results using HEC-RAS equipped with RAS Mapper through UAV processing as input. There are 21 GCP in the study area as an increase in accuracy, the RMSE value in the horizontal direction is 0.3853m, and the vertical direction is 0.1836m. From the CE90 accuracy test results for a horizontal accuracy of 0.58m and LE90 for a vertical accuracy of 0.30m, it can be concluded that the map accuracy test meets the 1:2500 scale. Terrain maps are input to HEC-RAS; selected meshes are 5x5m and 2x2m. The modeling results can show the inundation depth in each GCP from the min-max depth. The model calibration shows an RMSE value of 0.183, while the flood depth validation shows an RMSE value of 0.13. In other words, modeling can represent the distribution of flood inundation in the study area and provide benefits for the community to be more alert in the event of a flood in the coming year.
Keywords : UAV; GCP; DSM; HEC-RA; Flood mapping
Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
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Rizaldi, Akbar, Idham Riyando Moe, Mohammad Farid, Teguh Mulia Aribawa, Gatut Bayuadji, and Tanto Sugiharto. "Study of flood characteristic in Cikalumpang River by using 2D flood model." MATEC Web of Conferences 270 (2019): 04010. http://dx.doi.org/10.1051/matecconf/201927004010.
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Flood is one of the natural disasters that occur in Indonesia frequently. At least there are 8.498 occurrences since 1980 through Indonesia. In order to prevent and resolve that natural disaster, some actions should be done. To know the best solution to solve flood, we should know the flood characteristic (what causes it, the inundation area, the height, how long it occurs, and etc.). The characteristic of flood will be easily known only when the flood occurs. Thus, it is necessary to build a model with high accuracy. The model was obtained by re-modeling the inundation incident that happened on March 7th, 2018, and validated with observed data from several locations in that period. The result shows a good agreement with the observed data. This is evident from the extent and depth of the puddle from the modeling results similar to the value of field observation data. From the results, it can be concluded that the Cikalumpang River model has been obtained with a good correlation. From field observations, it is known that flooding is caused by quite complex problems, such as decreasing river capacity due to illegal building construction, sedimentation, land cover change, and climate change.
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Kang, S. H. "Tight coupling 2D integrated urban inundation model on GIS to a high-density area, South Korea." Water Science and Technology 60, no. 2 (July 1, 2009): 283–92. http://dx.doi.org/10.2166/wst.2009.132.
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In urban areas with a high building density, features such as roads, buildings, and river dykes significantly effect flow dynamics and flood propagation. This should therefore be accounted for in the model set-up. While 2D hydraulic models of densely urban areas are at the forefront of current research into flood inundation mechanisms, these models are constrained by inadequate parameters of topography and insufficient data. In order to solve these problems, topographic information obtained from DEM is directly programmed into the urban inundation model for a densely urban area, without exchanging the input data. In this paper, the extraction of building area is described using a tight coupling approach within a GIS environment, and its influence on the extent of flood inundation with a high building density is estimated.
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Priya, Rashmi, R. Shiva Kumar, Shiv Kumar Naiklal, and Anjan Kumar. "FLOOD INUNDATION MODELLING FOR TUNGABHADRA BASIN USING HEC-RAS: A CASE STUDY OF HARALAHALLI DISCHARGE SITE." Geographical Analysis 9, no. 2 (December 5, 2020): 33–41. http://dx.doi.org/10.53989/bu.ga.v9i2.8.
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The Hydrologic Engineering Center’s River Analysis System (HEC-RAS) can model flood events and produce water surface profiles over the length of the modeled stream. Flood Inundation Modelling is important for engineers, planners, and government agencies used for municipal and urban growth planning, emergency action plans, flood insurance rates, and ecological studies. This paper describes the application of the HEC-RAS model for the development of floodplain maps for the part of Tungabhadra River, Haralahalli discharge site that lies in Haveri district of Karnataka. Since most of the flood plain area/area vulnerable to flooding is currently used for agriculture. By understanding the extent of flooding and floodwater inundation, we can decide how to best allocate resources to prepare for emergencies. Keywords: Flood; Inundation; HEC-RAS Modelling
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Samarasinghe, Jayanga T., Vindhya Basnayaka, Miyuru B. Gunathilake, Hazi M. Azamathulla, and Upaka Rathnayake. "Comparing Combined 1D/2D and 2D Hydraulic Simulations Using High-Resolution Topographic Data: Examples from Sri Lanka—Lower Kelani River Basin." Hydrology 9, no. 2 (February 17, 2022): 39. http://dx.doi.org/10.3390/hydrology9020039.
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The application of numerical models to understand the behavioural pattern of a flood is widely found in the literature. However, the selection of an appropriate hydraulic model is highly essential to conduct reliable predictions. Predicting flood discharges and inundation extents are the two most important outcomes of flood simulations to stakeholders. Precise topographical data and channel geometries along a suitable hydraulic model are required to accurately predict floods. One-dimensional (1D) hydraulic models are now replaced by two-dimensional (2D) or combined 1D/2D models for higher performances. The Hydraulic Engineering Centre’s River Analysis System (HEC-RAS) has been widely used in all three forms for predicting flood characteristics. However, comparison studies among the 1D, 2D to 1D/2D models are limited in the literature to identify the better/best approach. Therefore, this research was carried out to identify the better approach using an example case study of the Kelani River basin in Sri Lanka. Two flood events (in 2016 and 2018) were separately simulated and tested for their accuracy using observed inundations and satellite-based inundations. It was found that the combined 1D/2D HEC-RAS hydraulic model outperforms other models for the prediction of flows and inundation for both flood events. Therefore, the combined model can be concluded as the better hydraulic model to predict flood characteristics of the Kelani River basin in Sri Lanka. With more flood studies, the conclusions can be more generalized.
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Shin, Eun, Jaehyun Shin, Dong Rhee, Hyung-Jun Kim, and Chang Song. "Integrated Inundation Modeling of Flooded Water in Coastal Cities." Applied Sciences 9, no. 7 (March 29, 2019): 1313. http://dx.doi.org/10.3390/app9071313.
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Climate change has increased the damage caused by subtropical rainfall and typhoons in coastal areas. Major flooding factors in coastal areas can be classified as storm surges, river inundation, and inland submergence. Because previous studies usually applied a linear sum of individual inundation components to predict comprehensive flood phenomena, this approach does not consider weighted effects associated with the simultaneous occurrence of complex flooding. In this study, a series of comprehensive flood simulations were performed using two numerical models: HDM-2D and FLUval Modeling ENgine (FLUMEN). The results revealed that an integrated flood analysis considering the effects of inundation flooding, river flooding, and coastal flooding required evaluation of the risk of flooding in coastal cities.
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Kirkpatrick, Jennifer Isabel Munro, and Agnieszka Indiana Olbert. "Modelling the effects of climate change on urban coastal-fluvial flooding." Journal of Water and Climate Change 11, S1 (January 23, 2020): 270–88. http://dx.doi.org/10.2166/wcc.2020.166.
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Abstract In coastal floodplains, high river flows and high coastal water levels can result in extensive flooding. Twenty-first century climate change is expected to alter these flood mechanisms. In this study, a coastal city of Cork, Ireland is used as a case study to investigate changes in flood mechanisms, dynamics and extents due to climate change. A hydrodynamic flood model MSN_Flood was used to compute potential future inundation patterns for a range of climate scenarios based on estimates of current, medium-range and high-end projections of extreme river flows and sea levels. Results illustrate that the flood mechanism is critical in controlling patterns and extent of inundation. Peak river discharges are the primary contributor to extreme flood events under the current climate scenario, however, high-end climate change could result in coastal inundation of comparable magnitude. The most extreme flood events affect the entire city centre – occurring as a result of a combination of fluvial and coastal drivers. The interaction of extreme fluvial discharges and coastal water levels is complex and characterised through comparison of multiple scenarios. This research establishes a best practice methodology for assessment of urban coastal-fluvial flood risk under a changing climate and can be used to determine climate-resilient flood management measures.
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Hasibuan, M. A. S., Widiatmaka, S. D. Tarigan, and W. Ambarwulan. "Flood Inundation Distribution Modelling for River Boundary Management in Cisadane Sub-Watershed." IOP Conference Series: Earth and Environmental Science 1109, no. 1 (November 1, 2022): 012087. http://dx.doi.org/10.1088/1755-1315/1109/1/012087.
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Abstract Cisadane watershed is one of the priority watersheds to be restored immediately. The Cisadane River has the potency to cause floods in the river’s border region due to a reduction in river width, river depth, and land-use changes. This study aims to analyze the distribution of flood inundation by employing the HEC-RAS. Flood distribution modeling using components the flood distribution in the steady flow of water level profile component. The permanent flow use is 19 January 2022 discharge. Scenarios discharge was reported with a return period of 5, 10, 25, 50 and 100 years. Digital Elevation Model (DEM), discharge, watershed boundary, and land use maps are included in the data used. The results indicated that 30 districts were affected by the flood. The extent of the annual flood inundation is predicted to expand by 24.41 hectares per year throughout each discharge period. Teluk Naga, Sepatan Timur, Paku Haji, and Neglasari Districts have the broadest and deepest probablility inundation in Tangerang Regency, with a total inundation area 644,7 hectares (permanent flow). The depth will increase from 0.40 to 1.33 m as the return period discharge rises. Tangerang Regency, located in the Lower Cisadane watershed, is the most affected area.
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Amarnath, G., Y. M. Umer, N. Alahacoon, and Y. Inada. "Modelling the flood-risk extent using LISFLOOD-FP in a complex watershed: case study of Mundeni Aru River Basin, Sri Lanka." Proceedings of the International Association of Hydrological Sciences 370 (June 11, 2015): 131–38. http://dx.doi.org/10.5194/piahs-370-131-2015.
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Abstract. Flood management is adopting a more risk-based approach, whereby flood risk is the product of the probability and consequences of flooding. Two-dimensional flood inundation modeling is a widely used tool to aid flood-risk management. The aim of this study is to develop a flood inundation model that uses historical flow data to produce flood-risk maps, which will help to identify flood protection measures in the rural areas of Sri Lanka. The LISFLOOD-FP model was developed at the basin scale using available historical data, and also through coupling with a hydrological modelling system, to map the inundation extent and depth. Results from the flood inundation model were evaluated using Synthetic Aperture Radar (SAR) images to assess product accuracy. The impacts of flooding on agriculture and livelihoods were analyzed to assess the flood risks. It was identified that most of the areas under paddy cultivation that were located near the middle and downstream part of the river basin are more susceptible to flood risks. This paper also proposes potential countermeasures for future natural disasters to prevent and mitigate possible damages.
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Nguyen, Quan Hong. "Some methods on flood inudation mappings for Long An province under climate change and sea level rise." Science and Technology Development Journal 16, no. 1 (March 31, 2013): 32–39. http://dx.doi.org/10.32508/stdj.v16i1.1385.
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Mapping flood inundation can be done by different methods, of which GIS analysis and flood modeling can be considered as the most popular ones. The modeling approach often requires more data but produce more detail results comparing to the GIS. Based on the assessment of current applied methods for building flood inundation map in the Mekong delta provinces in general and Long An in particular as well as based on some recent results of using GIS, 1 D ISIS model and 1-2D Mike Flood model applied in Long An province, the author show advantages as well as disadvantages of each methods and especially the results’ confidence. As the result, the author presents some challenges in mapping flood inundation maps under climate change and sea level rise. Integrating hydraulic construction (e.g. dyke, sluice, storage areas) and adaptation measures in the current and future in the analysis are typical challenges.
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Liu, X., and S. Lim. "Flood Inundation Modelling for Mid-Lower Brisbane Estuary." River Research and Applications 33, no. 3 (August 18, 2016): 415–26. http://dx.doi.org/10.1002/rra.3078.
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Suryadi, Rudy, Dinar Dwi Anugerah Putranto, and Imroatul C. Juliana. "Analisis 1D – 2D Genangan Banjir pada Kawasan Perumahan Baturaja Permai, Kecamatan Baturaja Timur." Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil 11, no. 1 (July 13, 2022): 39–48. http://dx.doi.org/10.35139/cantilever.v11i1.115.
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Flooding is a problem that is often found in cities, especially in the rural areas of Baturaja Permai. When it rains, the quantity of river water exceeds its capacity or becomes too much, and there will be inundation caused by overflowing rivers. Factors of natural events such as high rainfall intensity cause flooding, coupled with factors from human activities. This study aims to investigate flood characteristics by developing an integrated model between hydrology and hydraulics. The development of this flood model is based on the hydrological model of runoff using the synthetic unit hydrograph method Soil Conservation Service (SCS), a one-dimensional (1D) hydraulic model for water flow propagation in macro drainage systems, and two dimensions (2D) for calculations if the river flow exceeds the existing capacity so that it experiences water propagation in the inundation area using the HEC-RAS software. To model the flood inundation it is required data Digital Elevation Model (DEM) was obtained by measuring the height of the land using a Total Station (TS) measuring instrument and analyzed using ArcMap software. The calculation of direct runoff is designed for a 5-year return period. The simulation results indicate that the Baturaja Permai area is an area that is prone to flooding with inundation depth of 0.558 m - 4.692 m and a peak runoff discharge of 15.6 m³/s at a 5-year return period.
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Liang, Qiuhua, and Luke S. Smith. "A high-performance integrated hydrodynamic modelling system for urban flood simulations." Journal of Hydroinformatics 17, no. 4 (January 20, 2015): 518–33. http://dx.doi.org/10.2166/hydro.2015.029.
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A new High-Performance Integrated hydrodynamic Modelling System (Hi-PIMS) is tested for urban flood simulation. The software solves the two-dimensional shallow water equations using a first-order accurate Godunov-type shock-capturing scheme incorporated with the Harten, Lax and van Leer approximate Riemann solver with the contact wave restored (HLLC) for flux evaluation. The benefits of modern graphics processing units are explored to accelerate large-scale high-resolution simulations. In order to test its performance, the tool is applied to predict flood inundation due to rainfall and a point source surface flow in Glasgow, Scotland, and a hypothetical inundation event at different spatial resolutions in Thamesmead, England, caused by embankment failure. Numerical experiments demonstrate potential benefits for high-resolution modelling of urban flood inundation, and a much-improved level of performance without compromising result quality.
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Kuiry, Soumendra Nath, Dhrubajyoti Sen, and Paul D. Bates. "Coupled 1D–Quasi-2D Flood Inundation Model with Unstructured Grids." Journal of Hydraulic Engineering 136, no. 8 (August 2010): 493–506. http://dx.doi.org/10.1061/(asce)hy.1943-7900.0000211.
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Rauf, Ichsan. "Analisis Spasial Tingkat Bahaya Banjir Desa Amasing Kali Dengan Hec-RAS 2D." Jurnal Teknik 19, no. 2 (December 31, 2021): 107–19. http://dx.doi.org/10.37031/jt.v19i2.188.
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The phenomenon of flooding that occurs in various parts of the world continues to increase, both in terms of frequency and amplitude. Without neglecting the morphology of the region, global climate change and changes in land use as a result of economic growth are the main factors causing this disaster. Understanding flood characteristics, be it discharge, inundation height, and their distribution in an area is very important as a basis for determining flood control efforts. This study aims to analyze the level of flood vulnerability based on the characteristics of the occurred floods. Hydrological and topographical analyzes were performed as the basis for the flow hydraulics calculations performed with Hec-RAS 2D version 5.0.7. The flood distribution simulation results with return periods of 2, 5, 10, and 25 years show that the area of the village that has the potential to be inundated is ± 22.57 ha, ± 37.11 ha, ± 41.81 ha, and ± 47.27 ha, with inundation heights varying between 0.25 m. – 1.50 m, which can be classified as low to high hazard.
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Jang, Jong Kyung, Min Ki Park, Na Eun Lee, Jae Min Lee, and Dong Min Yang. "Real-time Prediction of Urban Inundation based on SWMM 1D-1D Model." Journal of the Korean Society of Hazard Mitigation 20, no. 1 (February 29, 2020): 401–11. http://dx.doi.org/10.9798/kosham.2020.20.1.401.
Full textAbstract:
The concept of a Major/Minor system was applied to use urban flood prediction techniques, based on rainfall forecasts and real-time simulations, to reduce flood damage, by notifying a possible flood risk in advance. The SWMM one dimensional (1D)-two dimensional (2D) model has become the standard approach used in urban flood modeling, as it can realistically express the interaction between drainage networks and road surfaces. However, it is limited to the flood analysis of small areas due to its two-dimensional model characteristics, such as its long simulation time. Therefore, the SWMM 1D-1D model, which is fast enough to be applied to real-time simulations, is applied to real-time flood forecasting. To improve the accuracy of the model, SWMM 1D-1D model was calibrated using the SWMM 1D-2D model simulation results, and the SWMM 1D-1D model simulation results were extracted using the SWMM5 DLL and EXCEL VBA to analyze the flood situation. Finally, the applicability of the SWMM 1D-1D model was reviewed based on a rainfall event that occurred on 25 August 2014, assuming an hour of predicted rainfall.
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Panidi, E., K. Popova, and V. Tsepelev. "GIS-BASED MAPPING OF ESTIMATED FLOOD INUNDATION AREA, GEOMETRICAL ASPECT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W8 (August 22, 2019): 307–9. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w8-307-2019.
Full textAbstract:
<p><strong>Abstract.</strong> A full processing chain for inundation modelling/mapping is implemented in different specialised software like HEC-RAS or Flood Modeller. Alternatively, inundation water level can be estimated separately, and then can be mapped in desktop (universal) Geographic Information System (GIS) software. Last approach can be demanded in a complex already-formed GIS-based mapping processing chains, when inundation area mapping appears only as a step of analysis and mapping technology. This context is usual for cadastral accounting of inundation areas. However, such a processing chain have a lack of computation tools, as currently used desktop GISs (e.g., QGIS, ArcGIS, etc.) capable originally to map only a lake-type inundation areas (certainly, in the case of regular software assembly), while along-the-river inundation should have water surface sloping along the river body.</p> <p>Addressing to the filling the gap of along-the-river inundation mapping in desktop GIS software, we have developed an approach to mapping of river-type inundation area, and implemented it in a test mode to support cadastral accounting of river flood inundation areas. The approach is based upon geometrical modelling of the water surface only, and is not concerned with consideration of hydrogeological conditions and ground water regime. Being simplified, this technique may be rough tool for the cases when hydrogeological aspect have to be respected, however it is simple for implementation and is useful when estimating topography impact only.</p>