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Using SRTM Elevation Matrices in Preliminary Calculations and Mapping of the Depths of the Potential Flood Inundation of Fluvial Plains

This article shows the possibility of using the SRTM model to search for the best options for detailed ground-based engineering surveys in flat treeless regions. The authors studied the accuracy of the SRTM model for the territory of the Russian Federation to the south of 60° N and neighboring count...

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Published in:Izvestiya. Atmospheric and oceanic physics 2020-12, Vol.56 (9), p.1168-1176
Main Authors: Orlyankin, V. N., Aleshina, A. R.
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Language:English
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description This article shows the possibility of using the SRTM model to search for the best options for detailed ground-based engineering surveys in flat treeless regions. The authors studied the accuracy of the SRTM model for the territory of the Russian Federation to the south of 60° N and neighboring countries (17 countries in Europe and 10 countries in Asia). A zonal map of the identified systematic errors of the SRTM elevation matrix is shown. Using the example of the Ramensky section of the Moskva River valley (near the cities of Zhukovsky and Ramenskoye), the absolute surface heights of the inundation zone were determined and the boundaries and depths of flooding were calculated and mapped for a flood of 1% exceedance probability. Maps of engineering protection from flooding of this territory on a scale of 1 : 100 000 and larger, as well as parts of the Moskva and Oka river valleys on a smaller scale of 1 : 1 000 000, are proposed.
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subjects Climatology
Earth and Environmental Science
Earth Sciences
Elevation
Engineering
Flood management
Flood mapping
Flood protection
Flooding
Floods
Fluvial plains
Geophysics/Geodesy
Methods and Tools for Space Data Processing and Interpretation
Model accuracy
Probability theory
River valleys
Rivers
Sea surface
Surveys
Systematic errors
Territory
Valleys
title Using SRTM Elevation Matrices in Preliminary Calculations and Mapping of the Depths of the Potential Flood Inundation of Fluvial Plains
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