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PORTAIL D'INFORMATION GÉOGRAPHIQUE

Spatial prediction of river channel topography by kriging

Auteur(s) et Affiliation(s)

LEGLEITER, C.J.
Dept. of Geography, University of California, Santa Barbara, Etats-Unis
California Dept. of Water Resources, Fresno, Etats-Unis
KYRIAKIDIS, P.C.
Dept. of Geography, University of California, Santa Barbara, Etats-Unis


Description :
Using survey data from a restored gravel-bed river, the AA. demonstrate how transformation to the channel-centered coordinate system facilitates interpretation of the variogram, a statistical model of reach-scale spatial structure used in kriging, and how the choice of a trend model affects the variogram of the residuals from that trend. Similarly, the AA. show how decomposing kriging predictions into their trend and residual components can yield useful information on channel morphology. Cross-validation analyses involving different data configurations and kriging variants indicate that kriging is quite robust and that survey density is the primary control on the accuracy of bed elevation predictions. The root mean-square error of these predictions is directly proportional to the spacing between surveyed cross-sections, even in a reconfigured channel with a relatively simple morphology; sophisticated methods of spatial prediction are no substitute for field data.


Type de document :
Article de périodique

Source :
Earth surface processes and landforms, issn : 0197-9337, 2008, vol. 33, n°. 6, p. 841-867, nombre de pages : 27, Références bibliographiques : 43 ref.

Date :
2008

Editeur :
Pays édition : Royaume-Uni, Chichester, Wiley

Langue :
Anglais
Droits :
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