Low cost space borne data for inundation modelling
2 - 3 weken
This thesis aims to explore the potential and limitations of low-cost, space-borne data in flood inundation modelling under unavoidable, intrinsic uncertainty. In particular, the potential in supporting hydraulic modelling of floods of: NASA’s SRTM (Shuttle Radar Topographic Mission) topographic data, SAR (Synthetic Aperture Radar) satellite imagery of flood extents and radar altimetry of water levels are analyzed in view of inflow and parametric uncertainty.
To this end, research work has been carried out by either following a model calibration-evaluation approach or by explicitly considering major sources of uncertainty within a Monte Carlo framework. To generalize our findings, three river reaches with various scales (from medium to large) and topographic characteristics (e.g. valley-filling, two-level embankments, large and flat floodplain) are used as test sites. Lastly, an application of SRTM-based flood modelling of a large river is conducted to highlight the challenges of predictions in ungauged basins.
This research indicates the potential and limitations of low-cost, space-borne data in supporting flood inundation modelling under uncertainty, including findings related to the usefulness of these data according to modelling purpose (e.g. re-insurance, planning, design), characteristics of the river and considerations of uncertainty. The upcoming satellite missions, which could potentially impact the way we model flood inundation patters, are also discussed.
- 1 Bekijk alle specificaties
Taal: en
Bindwijze: Paperback
Oorspronkelijke releasedatum: 29 oktober 2015
Aantal pagina's: 134
Illustraties: Nee
Hoofdauteur: Kun Yan
Hoofduitgeverij: Taylor & Francis
Extra groot lettertype: Nee
Product breedte: 168 mm
Product hoogte: 10 mm
Product lengte: 236 mm
Studieboek: Nee
Verpakking breedte: 170 mm
Verpakking hoogte: 10 mm
Verpakking lengte: 240 mm
Verpakkingsgewicht: 272 g
EAN: 9781138028753