Two-Dimensional Flood Plain Flow. II: Model Validation

Connell, Robert J.; Painter, D. J.; Beffa, Cornel

doi:10.1061/(asce)1084-0699(2001)6:5(406)

Cited by 36 publications

(20 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some researchers have further explored capabilities of post-flood analyses as alternative approaches for flood observations. Many research showed that flood extent maps were created by using aerial photos (Connell et al, 2001;Overton, 2005;Yu & Lane, 2006), airborne data, and satellite images (Horritt, 2000;Brivio et al, 2002;Rosenqvist et al, 2002;Townsend & Foster, 2002;Bates et al, 2006). These flood extent maps can adequately represent boundaries of inundation areas.…”

Section: Urban Floodingmentioning

confidence: 99%

“…Even though flood extent maps could be achieved by using aerial photos (Connell et al, 2001;Overton, 2005;Yu & Lane, 2006), airborne and satellite Synthetic Aperture Radar (SAR) data (Horritt, 2000;Brivio et al, 2002;Rosenqvist et al, 2002;Townsend & Foster, 2002;Bates et al, 2006) and post-event LiDAR survey of flood deposits (Lane et al, 2003) and such maps could represent the extent of inundated areas, they may be inconsistent with the peak time of flooding. Flood watermarks could be capable of representing these flood peaks.…”

Section: Calibration and Validation Basismentioning

confidence: 99%

See 1 more Smart Citation

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

Meesuk¹

2017

View full text Add to dashboard Cite

Although all care is taken to ensure the integrity and the quality of this publication and the information herein, no responsibility is assumed by the publishers, the author nor UNESCO-IHE for any damage to the property or persons as a result of operation or use of this publication and/or the information contained herein. A pdf version of this work will be made available as Open Access via http://repository.tudelft.nl/ihe This version is licensed under the Creative Commons Attribution-Non Commercial 4.0 International License, http://creativecommons.org/licenses/by-nc/4.0/Published by: CRC Press/Balkema PO Box 11320, 2301 EH Leiden, the Netherlands e-mail: Pub.NL@taylorandfrancis.com www.crcpress.com -www.taylorandfrancis.com to my dear family SummaryModelling urban flood dynamics requires detailed knowledge of a number of complex processes. Numerical simulation of flood propagation requires proper understanding of all processes involved. Also, special care has to be taken to adequately represent the urban topography, taking into account typical urban features like underpasses and hidden alleyways. Incorrect input data will affect the numerical model results, which may lead to inadequate flood-protection measures or even catastrophic flooding situations. This thesis explores how to include particular urban topographic features in urban flood modelling.Aerial Light Detection and Ranging (LiDAR) systems offer opportunities for achieving good quality topographic data, with less fieldwork on the ground. Even though aerial LiDAR data have long been used in many applications, conventional top-view LiDAR data can not quite capture some hidden urban features. However, recent improvements in Structure from Motion (SfM) techniques provide opportunities to achieve improved quality topographic data by using multiple viewpoints, including side-view data.This dissertation explores insights into the capabilities of assimilating SfM point cloud data by using multi-source views as input for enhancing 2D urban flood modelling. Side-view SfM point cloud data are collected and merged with conventional top-view LiDAR point cloud data to create novel Multi-Source Views (MSV) topographic data. The main objectives of this research are (i) to provide insight into the capabilities of using computer-based environments; (ii) to explore the benefits of using the new MSV data; (iii) to enhance 2D model schematizations; (iv) to compare simulated results using new MSV data and conventional top-view LiDAR data as input for urban flood models; and (v) to help developing flood-protection measures. Findings showed that simulation results using conventional top-view LiDAR-DSM as input show the least flood inundation areas and results contained many dry areas. This is because conventional LiDAR-DSM does not capture hidden urban features like underpasses, high trees, overarching structures, which behave as obstacles in 2D model schematics. When applying extended top-view LiDAR-DBM+ and the newly developed MSV-DEM as input, simulation results showed m...

show abstract

Section: Urban Floodingmentioning

confidence: 99%

Section: Calibration and Validation Basismentioning

confidence: 99%

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

Meesuk¹

2017

View full text Add to dashboard Cite

show abstract

“…There are several software systems designed for flooding simulation (Connell, Painter, & Beffa, 2001). They are specialized for analysis and research purposes since they offer precise flooding dynamic data based on a geo-spatial system and a specific mathematical model (Yamaguchi & Iwamura, 2007).…”

Section: Related Workmentioning

confidence: 99%

(GbL #2) Constructive Simulation as a Collaborative Learning Tool in Education and Training of Crisis Staff

Šimić¹

2012

IJIKM

View full text Add to dashboard Cite

This paper presents how military units and technology can help local societies in preparation for natural and man-made disasters by using constructive simulations. Contemporary constructive simulation systems allow for the implementation of non-combat scenarios, meaning that different social groups and institutions can be involved in learning exercises. These systems are recognized as tools appropriate for collaborative learning. Flooding scenario is used as a case study for the constructive simulation presented in this paper. Players are local community members and military personnel. They have to act as individuals -members of crisis staff and teams in rescuing and evacuating people, animals and material goods. Since flooding simulators are stand alone applications, specially designed for this purpose, dynamical hydrographical models have not been supported in constructive simulation systems. Therefore, in this work we have devised a new approach for simulating a flooding scenario. During the simulation, learners face many problems such as lack of resources and time on one hand and too many requirements on the other hand. Through an iterative process they learn and collaborate with each other and find appropriate solutions on how to perform their tasks. Different pedagogical strategies and tactics are used in accordance with the system constraints and opportunities.

show abstract

“…Several two-dimensional flood models are available in literature; among these, Jaffe and Sanders [9] proposed a 2D backwater model reproducing the filling of off-stream floodplain storage after a levee breach occurrence. Beffa and Connell [3] describe a 2D finite element model, Hydro2de, later applied by Connell et al [4] to simulate two floods on the Waihao River in New Zeland. Starting from the Monoclinal Flood Wave theory, Shome and Steffler [11] got a theoretical 2D model to estimate the flood wave velocity and the volume which is filling the storage.…”

Section: Introductionmentioning

confidence: 99%

Experimental survey on off-stream floodplain storages: first results

Martino¹,

Paola²

2010

Risk Analysis VII

View full text Add to dashboard Cite

In Italy as abroad, the natural risk due to hydrogeological catastrophes is a remarkable problem for the damages produced and for the number of victims (e.g. Messina 02/10/2009 and Ischia 10/11/2009). The realization of structural measures for the mitigation of hydrogeological risk is essential, because of the extreme diffusion of the problem and also to safeguard the people exposed. Detention reservoirs are structural measures for the defense from hydraulic risk. These works allow one to temporarily contain part of the flood volume and then return it, getting an attenuation and a delay of the peak discharge, proper to peak reduction phenomenon. A classical structural measure for the mitigation of the hydraulic risk is represented by the off-stream floodplain storage: areas near to water courses used as storage, escaping volumes of upcoming flood through devices of derivation as, for instance, weirs. In the present paper, the first results of an experimental survey on a physical model, situated in the Laboratory of Hydraulics of the Department of Hydraulic, Geotechnical and Environmental Engineering of University of Naples Federico II, of off-stream floodplain storage are shown.

show abstract

Two-Dimensional Flood Plain Flow. II: Model Validation

Cited by 36 publications

References 5 publications

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

(GbL #2) Constructive Simulation as a Collaborative Learning Tool in Education and Training of Crisis Staff

Experimental survey on off-stream floodplain storages: first results

Contact Info

Product

Resources

About