Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Gobeyn, Sacha; Wesemael, Alexandra Van; Neal, Jeffrey; Lievens, Hans; Eerdenbrugh, Katrien Van; Vleeschouwer, Niels De; Vernieuwe, Hilde; Schumann, Guy; Baldassarre, Giuliano Di; Baets, Bernard De; Bates, Paul; Verhoest, Niko

doi:10.1016/j.advwatres.2016.12.005

Cited by 29 publications

(19 citation statements)

References 43 publications

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“…Floods are expected to become more frequent and intense due to climate change, thus exacerbating their negative impacts (Arnell & Gosling, ; Das, Maurer, Pierce, Dettinger, & Cayan, ; Gobeyn et al, ; Hirabayashi et al, ; Kay, Davies, Bell, & Jones, ; Næss, Bang, Eriksen, & Vevatne, ; Parinussa, Lakshmi, Johnson, & Sharma, ; Rosser, Leibovici, & Jackson, ; Spence, Poortinga, Butler, & Pidgeon, ; Wilby, Beven, & Reynard, ). Considering the increasing threat of frequently occurring high magnitude floods, there is a growing interest to create reach scale and regional scale flood inundation extents corresponding to near‐future storm forecasts (Bates, ; Bermúdez et al, ; Chang, Shen, Wang, Huang, & Lin, ; Nguyen, Thorstensen, Sorooshian, Hsu, & AghaKouchak, ; Pappenberger, Thielen, & Del Medico, ).…”

Section: Introductionmentioning

confidence: 99%

Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models

Liu

Merwade

Jafarzadegan

2018

J Flood Risk Management

140

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Hydraulic models play an important role in determining flood inundation areas. When considering a wide array of one‐ (1D) and two‐dimensional (2D) hydraulic models, selecting an appropriate model and its calibration are crucial in an accurate prediction of flood inundation. This study compares the performance of four commonly used 1D and 2D hydraulic models, including HEC‐RAS 1D, HEC‐RAS 2D, LISFLOOD‐FP diffusive, and LISFLOOD‐FP subgrid, with respect to their model structure and their sensitivity to surface roughness characterisation. Application of these models to four study reaches with different river geometry and roughness characterisation shows that for a given set of roughness condition, the geometry, including the sinuosity, reach length and floodplain width, does not affect the performance of a 1D or 2D model. Overall, the performance of a 1D model is comparable to the 2D models used in the study, with the 2D models showing slightly better results. The performance of 2D models is affected by low channel roughness, and it improves with increasing channel roughness that enables more water to enter into the floodplain. On the contrary, the performance of 1D model is positively affected with increasing floodplain roughness. When the models are evaluated for uniform versus distributed roughness characterisation in the floodplain, the uniform surface characterisation provides the best results compared to the distributed roughness characterisation.

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Section: Introductionmentioning

confidence: 99%

Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models

Liu

Merwade

Jafarzadegan

2018

J Flood Risk Management

140

View full text Add to dashboard Cite

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“…To overcome this limitation in the field of flood management, remote sensing and social media are being used increasingly for obtaining topographic information and flood extent. However, to enable effective applications, the data must be obtained in a timely fashion (Cervone et al, ; Gobeyn et al, ), or they may need to be obtained at a high spatial resolution, for example, to capture cross sections. In both cases, there may be too much uncertainty in the data (Grimaldi et al, ).…”

Section: Introductionmentioning

confidence: 99%

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

113

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Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change and urbanization. In recent years, crowdsourcing has become increasingly prominent as a means of supplementing data obtained from more traditional sources, particularly due to its relatively low implementation cost and ability to increase the spatial and/or temporal resolution of data significantly. Given the proliferation of different crowdsourcing methods in geophysics and the promise they have shown, it is timely to assess the state of the art in this field, to identify potential issues and map out a way forward. In this paper, crowdsourcing‐based data acquisition methods that have been used in seven domains of geophysics, including weather, precipitation, air pollution, geography, ecology, surface water, and natural hazard management, are discussed based on a review of 162 papers. In addition, a novel framework for categorizing these methods is introduced and applied to the methods used in the seven domains of geophysics considered in this review. This paper also features a review of 93 papers dealing with issues that are common to data acquisition methods in different domains of geophysics, including the management of crowdsourcing projects, data quality, data processing, and data privacy. In each of these areas, the current status is discussed and challenges and future directions are outlined.

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“…In addition, there have been several studies aiming at the subproblem of inundation estimation by hydrodynamic method. For example, Gobeyn et al [8] took LISFLOOD-FP model as an explicit forward difference scheme for computing the shallow water wave over the floodplain. Patel et al [9] carried out a simulation work under the 1D/2D couple hydrodynamic modeling in low-lying areas.…”

Section: Hydrodynamic Methodmentioning

confidence: 99%

“…. , λΔh { } and DEM data, we can easily obtain water-body extent as long as we find depth H that satisfies equation (8). In other words, water-body extent is equal to the area of intersection between DEM data and horizontal planes at depth H. Here, dichotomy is a simple way to get the suitable depth H when the water volume V m is given, which is as same as traditional space-filling method.…”

Section: Subdivision Of Water-body Extentmentioning

confidence: 99%

Estimation Method of Inundation Extent Based on Mathematical Morphology

Lai

Safonov

2019

Mathematical Problems in Engineering

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Estimation of inundation extent is critical for the flood control system. It helps decision-maker determine the scope of damage to save residents' lives and property. In this paper, we analyzed the drawbacks of two kinds of methods of inundation estimation, hydrodynamic method and space-filling method, and divided inundation extent into water-body extent and water-invasion extent for the purpose of enhancing estimation accuracy. Based on Mathematical Morphology, an inundation estimation method suitable for flood mapping around natural and artificial lakes was put forward by integrating remote sensing (RS) data and digital elevation model (DEM) data. is method consists of three aspects, including the subdivision of water-body extent, the deduction of water-invasion extent which is viewed as the expansion of water-body extent, and the smoothing the boundaries of waterinvasion extent. With subdividing DEM data horizontally into cross sections to build equiangular subsets, the expansion operation was implemented by structuring elements which were established based on set operations and scalar flexibilities. us, water-invasion extent was easily described by the structuring elements under given water volume, so that inundation extent was conveniently estimated by spatial data. e experiment results show that the method has the advantages of high accuracy and expressiveness and low time consumption. It had been used to analyze the inundation caused by the water conservancy project named Hanjiang-to-Weihe River Water Transfer Project in China. e method served as decision support for building an efficient emergency response mechanism and helped implement flood disaster forecast and simulation.

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Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Abstract: General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above.

Cited by 29 publications

References 43 publications

Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models

Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Estimation Method of Inundation Extent Based on Mathematical Morphology

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