### Spatially explicit regional flood frequency analysis using L-moment, GIS and geostatistical methods.

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dc.contributor.authorDaviau, Jean-Luc.
dc.date.accessioned2009-03-19T14:08:03Z
dc.date.available2009-03-19T14:08:03Z
dc.date.created1998
dc.date.issued1998
dc.identifier.citationSource: Masters Abstracts International, Volume: 37-04, page: 1248.
dc.identifier.isbn9780612366800
dc.identifier.urihttp://hdl.handle.net/10393/4072
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-10085
dc.description.abstractLacking efficient means of digital data storage and processing, previous regional flood frequency analyses seldom considered the spatial dimension of the problem explicitly. As a result, insufficient use was made of spatial autocorrelation; of associations with other variables or of topological inter-relationships such as proximity (near a water body), containment (within a $2\rm\sp{nd}$ orderwatershed) and orientation (bearing and azimuth). Spatially-implicit methods also tended to marginalise the importance of flood-generating mechanisms--which vary continuously in space--and which combine at each location to yield the total flood risk. In this study, the most current nonparametric and L-moment (parametric) methods for flood frequency analysis (FFA) are supplemented by geostatistical and GIS techniques. Three spatial approaches are adapted for FFA: scientific visualization of random fields; characterization of spatial associations; and hierarchical spatial models of flood parameters. Three spatial models are investigated for the L-moments of flood observations: the L-skew is taken as an average within regions (polygons); the L-coefficient of variation is modelled using kriging (continuous space); and the L-mean is estimated locally (point) or from maps if local records are unavailable. L-moments are used to estimate the parameters probability distributions used to describe floods. Average daily maximum (AM) flood flows for Central and Eastern Canada are analysed. (Abstract shortened by UMI.)
dc.format.extent144 p.