DocumentCode
576199
Title
Charles creek flood zone modeling: A correlation study of environmental conditions versus water level in the Pasquotank watershed
Author
Dykes, Nartezya ; Easley, Lekedrick ; Powell, Je´aime ; Mitchell, Jerome E. ; Hayden, Kuchumbi L.
Author_Institution
Comput. Sci., Spelman Coll., Atlanta, GA, USA
fYear
2012
fDate
22-27 July 2012
Firstpage
966
Lastpage
969
Abstract
The Charles Creek area in Elizabeth City, NC experiences frequent flood conditions seemingly unrelated to rainfall amounts. The purpose of this study was to compare barometric pressures, lunar cycles, wind directions, and wind speeds with water depth readings of Charles Creek (a tributary of the Pasquotank River). A static remote imaging system was used to measure water depth through pixel enumeration and referencing through remote sensing techniques coupled with custom image processing software. Environmental data was collected through Elizabeth City State University´s National Renewable Energy Laboratory Weather Monitoring Station. The data was correlated using MINITAB (R) to find an equation to approximate a model of the rise of the Creek water level based upon environmental conditions. The regression equation had a coefficient of determination of 42%; this means there was a 42% probability the model was useful at predicting the pixel count based on environmental variables.
Keywords
floods; geophysical image processing; hydrological techniques; rain; regression analysis; remote sensing; rivers; water resources; wind; Charles Creek flood zone model; Creek water level; Elizabeth City; MINITAB; National Renewable Energy Laboratory Weather Monitoring Station; North Carolina; Pasquotank River; Pasquotank watershed water level; USA; barometric pressures; custom image processing software; determination coefficient; environmental conditions; environmental variables; flood conditions; lunar cycles; rainfall; regression equation; remote sensing techniques; static remote imaging system; water depth measurement; wind directions; wind speeds; Atmospheric modeling; Cities and towns; Computational modeling; Floods; Mathematical model; Meteorology; Moon; Atmospheric Modeling; Floods; Image Processing; Regression Analysis; Remote Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351390
Filename
6351390
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