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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 3 of 3 (0.045 seconds)Spelling suggestions: "subject:"story severity"" "subject:"store severity""
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An Urban Rainfall Storm Flood Severity IndexJobin, Erik 08 May 2013 (has links)
Extreme rainfall statistics are important for the design and management of the water resource infrastructure. The standard approach for extreme rainfall event severity assessment is the Intensity-Duration-Frequency (IDF) method. However, this approach does not consider the spatial context of rainfall and consequently does not properly describe rainfall storm severity, nor rarity. This study provides a critical account of the current standard practice and presents an approach that takes into consideration both the spatial context of rainfall storms, and indirectly incorporates runoff to produce a representative approach to assessing urban rainfall storm severity in terms of flood potential. A stepwise regression analysis was performed on a dataset of individual rainfall storm characteristics to best represent documented basement floodings in the City of Edmonton. Finally, the urban rainfall storm flood severity index was shown to be most representative of the documented basement floodings' severity when compared to that of the IDF method.
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An Urban Rainfall Storm Flood Severity IndexJobin, Erik January 2013 (has links)
Extreme rainfall statistics are important for the design and management of the water resource infrastructure. The standard approach for extreme rainfall event severity assessment is the Intensity-Duration-Frequency (IDF) method. However, this approach does not consider the spatial context of rainfall and consequently does not properly describe rainfall storm severity, nor rarity. This study provides a critical account of the current standard practice and presents an approach that takes into consideration both the spatial context of rainfall storms, and indirectly incorporates runoff to produce a representative approach to assessing urban rainfall storm severity in terms of flood potential. A stepwise regression analysis was performed on a dataset of individual rainfall storm characteristics to best represent documented basement floodings in the City of Edmonton. Finally, the urban rainfall storm flood severity index was shown to be most representative of the documented basement floodings' severity when compared to that of the IDF method.
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The Development of a Hydrodynamics-Based Storm Severity IndexTodaro, Gabriel Francis 01 January 2015 (has links)
A hydrodynamic-based storm severity scale that ranks the damage potential of a storm at a given coastal area is developed. Seventeen tropical and extratropical storm events at 113 different locations on the Atlantic coast and the Gulf of Mexico are examined in order to create and verify a Storm Severity Index Model (SSIM). The results from the SSIM are then used to create a location-based storm severity scale titled the Twenty-Four Point Storm Severity Scale. The Twenty-Four Point Scale is based on three subsets of factors. The first is the energy flux above the normal mean high water line that the storm produces, the second is the amount of overwash due to wave-induced runup, and the third is the inundation due to surge-induced flooding that occurs during the event. The advantage of this methodology is that it enables the level of risk associated with a storm to be examined for a specific region, rather than having a single broad value define the entire event. Although, the index is intended for use on sandy beaches with or without dunes, the general methodology could be extended to armored beaches.
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