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inundation maps for Extreme Flood Events at the Mouth of the Danube River

International Journal of Geosciences 2011年第1期2卷 68-74页

作者： Daniela E.Nistoran Gogoase Iuliana Armas Cristina S.Ionescu Hydraulics Department University“Politehnica”of BucharestBucharestRomania Department of Geography University of BucharestBucharestRomania

Hydrodynamic modeling is used to analyse the inundation behavior of St. George village during extreme flood events, in particular for a flood happened in spring 2006. The study reach, 4 km in length, is situated in the Danube Delta, at the mouth of St. George distributary and includes St. George village. Land and bathymetric surveys were used to create a digital terrain model (DTM) of the river channel and the village. By coupling the geometry with hydrologic data, a 2D hydrodynamic model was built up with the help of the CCHE2D code (University of Mississippi). The model is based on integrating Saint-Venant shallow waters (depth averaged) equations through finite-difference implicit numerical scheme. It was calibrated in terms of roughness coefficients on measured values of water surface elevation registered in the St. George port. Flood maps obtained from computations were compared to satellite images from the same days of the spring 2006 extreme event. inundation behaviour of the St. George village was analysed for different scenarios of river hydrological and sea level (variable because of wind waves) conditions. Findings were compared with high water marks and inhabitants testimonials. The model proved that sea level has a higher influence upon the inundability of the area than the river flood events.

关键词： Hydraulic Modeling Finite Difference Method Flood inundation maps

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Rapid flood inundation mapping by differencing water indices from pre-and post-flood Landsat images

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Frontiers of Earth Science 2021年第1期15卷 1-11页

作者： Ramesh SIVANPILLAI Kevin M.JACOBS Chloe M.MATTILIO Ela V.PISKORSKI Wyoming Geographic Information Science Center University of WyomingLaramieWY 82071USA Department of Ecosystem Science&Management University of WyomingLaramieWY 82071USA Haub School of Environment&Natural Resources University of WyomingLaramieWY 82071USA Department of Plant Sciences University of WyomingLaramieWY 82071USA

Following flooding disasters,satellite images provide valuable information required for generating flood inundation *** or optical imagery can be used for generating flood maps when the inundated areas are not covered by *** propose a rapid mapping method for identifying inundated areas based on the increase in the water index value between the pre-and post-flood satellite *** of the Normalized Difference Water Index(NDWI)and Modified NDWI(MNDWI)will be higher in the post-flood image for flooded areas compared to the pre-flood *** on a threshold value,pixels corresponding to the flooded areas can be separated from non-flooded *** maps derived from differencing MNDWI values accurately captured the flooded *** the output image will be influenced by the choice of the pre-flood image,hence analysts have to avoid selecting pre-flood images acquired in drought or earlier flood *** the inundation maps generated using this method have to be overlaid on the post-flood satellite image in order to orient personnel to landscape *** of the proposed technique are that flood impacted areas can be identified rapidly,and that the pre-existing water bodies can be excluded from the inundation *** pairs of other satellite data,several maps can be generated within a single flood which would enable emergency response agencies to focus on newly flooded areas.

关键词： Rapid Flood Mapping(RFM) inundation maps Satellite data NDWI MNDWI

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