Open Access
| Issue |
E3S Web Conf.
Volume 502, 2024
2nd International Congress on Coastal Research (ICCR 2023)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 5 | |
| Section | Coastal Hazards and Risk Assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202450203011 | |
| Published online | 11 March 2024 | |
- Manoranjan Muthusamy, Monica Rivas Casado, David Butler, Paul Leinste Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling 2021 [Google Scholar]
- Noman, N.S., Nelson, E.J., and Zundel, A.K. (2001). Review of automated floodplain delineation from digital terrain models. Journal of Water Resources Planning and Management 127 (6): 394-402. 37. [CrossRef] [Google Scholar]
- Tate, E.C., Maidment, D.R., Olivera, F., and Anderson, D.J. (2002). Creating a Terrain Model for Floodplain Mapping. Journal of Hydrologic Engineering 7(2): 100-108. [CrossRef] [Google Scholar]
- Papaioannou, G., Loukas, A., Vasiliades, L., and Aronica, G.T. (2016). Flood inundation mapping sensitivity to reverine spatial resolution and modeling approach. Natural Hazards 83(1): 117-132. [CrossRef] [Google Scholar]
- Schumann, G., Matgen, P., Cutler, M.E.J., Black, Hoffmann, A.L., Pfister, L. (2008), Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM, ISPRS Journal of Photogrammetry and Remote Sensing 63, pp. 283-296. [CrossRef] [Google Scholar]
- Artuso, R., S. Bovet, and A. Streilein, 2003. Practical methods for the verification of countrywide terrain and surface models. International Archives of the Photogrammetry, Remote Sensing, and Geoinformation Sciences XXXIV(3/W13), 14-19. [Google Scholar]
- Elberink, S. O., G. Brand, and R. Brugelmann, 2003. Quality im- “ provement of laser altimetry DEMs. International Archives of the Photogrammetry, Remote Sensing, and Geoinformation Sciences XXXIV(3/W13), 51-58. BEVEN, Keith J. Rainfall-runoff modelling: the primer. John Wiley & Sons, 2011. [Google Scholar]
- Manfreda et al., 2011 S. Manfreda, M. Di Leo, A. Sole Detection of flood-prone areas using digital elevation models J. Hydrol. Eng., 16 (10) (2011), pp. 781-790 DOI: 10.1061/(ASCE)HE.1943-5584.0000367. [CrossRef] [Google Scholar]
- El Alaoui Fels, A., and Saidi, M.E. (2014). Simulation et spatialisation du risque d’inondation dans une vallée anthropisée. Le cas de la vallée de l’Ourika (Haut Atlas, Maroc). European Scientific Journal 10(17): 210-223. [Google Scholar]
- Merheb, M., Moussa Roger, Abdallah C., Colin F., Perrin C., Baghdadi N. (2016). Hydrological response characteristics of Mediterranean catchments at different time scales: a meta-analysis. Hydrological Sciences Journal 61(14), 2520-2539 [CrossRef] [Google Scholar]
- Grari et al., “Characterization of river floods on the plain Of Saidia (North-East of Morocco)”, J. Mater. Environ. Sci, Volume 8, Issue 8, Page 4734-4743, 2017. [Google Scholar]
- Islam, M.M., K. Sadu: Flood Damage and Modelling Using Satellite Remote Sensing Data with GIS: Case Study of Bangladesh, In: J. Ritchie, et al. (Editors), Remote Sensing and Hydrology 2000, IAHS Publication, Oxford, 455-458, 2001. [Google Scholar]
- Nadal, N.C., R.E. Zapata, I. Pagan, R. Lopez, and J. Agudelo: Building Damage due to Riverine and Coastal Floods, Journal of Water Resources Planning and Management, 136 (3), 327-336, 2009 [Google Scholar]
- Proverbs, D.G. and Soetanto, R. (forthcoming) Flood-damaged property: a guide to repair. Blackwell Publishing Ltd., Oxford. [Google Scholar]
- Kelman, I., Spence, R. (2003), A flood failure flowchart for buildings, Proceedings of the Institution of Civil Engineers - Municipal Engineer, 156, September 2003, Issue ME3, pp. 207-214 (15) (PDF) Methodologies to assess vulnerability of structural systems. Available from: https://www.researchgate.net/publication/257342955_Methodologies_to_assess_vulnerability_of_structural_systems [CrossRef] [Google Scholar]
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