Use of Remote Sensing and Ground Data in Comprehension of the Flooding in the Bow River Basin, Alberta

atmire.migration.oldid3338
dc.contributor.advisorHassan, Quazi
dc.contributor.advisorHe, Jianxun (Jennifer)
dc.contributor.authorVeiga, Victor Barcante
dc.date.accessioned2015-06-29T16:46:05Z
dc.date.available2015-11-20T08:00:32Z
dc.date.issued2015-06-29
dc.date.submitted2015en
dc.description.abstractFlooding is a devastating natural hazard throughout the world. Consequently, a flood management system is vital. Here, the aim was to investigate elements of flood management as it pertains to the Bow River in Alberta. The specific objectives included: (i) river flow forecasting at Calgary, (ii) flood extent estimation at Calgary, and (iii) river planform change detection. Analyses revealed that using a multivariable linear regression (MLR) formulated as a function of upstream gauge stations and the station of interest using antecedent flows demonstrated strong relationships (i.e., r2 = 0.93). Furthermore, the flood extent estimation gave a kappa statistic of 0.6, which is reasonable considering that the image was taken 16 days after peak flood time. Lastly, the Bow River planform change detection showed that the 2013 floods caused a higher erosion in the lower Bow River (i.e., 361.62ha) as compared to the upper Bow River area (i.e., 206.01ha).en_US
dc.identifier.citationVeiga, V. B. (2015). Use of Remote Sensing and Ground Data in Comprehension of the Flooding in the Bow River Basin, Alberta (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/28610en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/28610
dc.identifier.urihttp://hdl.handle.net/11023/2325
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Environmental
dc.subject.classificationRemote Sensingen_US
dc.subject.classificationFlooden_US
dc.subject.classificationBow Riveren_US
dc.subject.classificationFlowen_US
dc.titleUse of Remote Sensing and Ground Data in Comprehension of the Flooding in the Bow River Basin, Alberta
dc.typemaster thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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