Top-kriging is applied here over the geographical space of Tuscany Region, in Central Italy. The obtained results are compared with classical interpolation techniques (IDW and Ordinary Kriging) and with a Multivariate analysis, based on natural logarithms of seven geomorphoclimatic characteristics. Multivariate statistical techniques such as principal components analysis (PCA) are implemented to reduce the high-dimensionality of catchments descriptors. The results are validated using a cross-validation method. With the aim to define the most suitable procedure for extremes discharge estimation in nested and not nested catchments, the results are compared through different error measurement methods.
Top-kriging interpolation for extremes discharge estimation in ungauged rivers / Enrica Caporali; Giuseppe Rossi; Valentina Chiarello. - ELETTRONICO. - H41E-1265:(2013), pp. 1265-1265. (Intervento presentato al convegno American Geophysical Union, 2013 Fall Meeting tenutosi a San Francisco, CA nel 9-13 December 2013).
Top-kriging interpolation for extremes discharge estimation in ungauged rivers
CAPORALI, ENRICA;ROSSI, GIUSEPPE;CHIARELLO, VALENTINA
2013
Abstract
Top-kriging is applied here over the geographical space of Tuscany Region, in Central Italy. The obtained results are compared with classical interpolation techniques (IDW and Ordinary Kriging) and with a Multivariate analysis, based on natural logarithms of seven geomorphoclimatic characteristics. Multivariate statistical techniques such as principal components analysis (PCA) are implemented to reduce the high-dimensionality of catchments descriptors. The results are validated using a cross-validation method. With the aim to define the most suitable procedure for extremes discharge estimation in nested and not nested catchments, the results are compared through different error measurement methods.
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