A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions-Reference-Cited by-同舟云学术

A comparison between generalized least squares regression and top-kriging for homogeneous cross-correlated flood regions

Published:2021-03-12 Issue:4 Volume:66 Page:565-579
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Persiano Simone¹^ORCID,Salinas Jose Luis²^ORCID,Stedinger Jery Russell³^ORCID,Farmer William H.⁴^ORCID,Lun David²^ORCID,Viglione Alberto²⁵^ORCID,Blöschl Günter²^ORCID,Castellarin Attilio¹^ORCID

Affiliation:

1. Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Bologna, Italy

2. Institute of Hydraulic Engineering and Water Resources Managament, Technische Universität Wien, Vienna, Austria

3. School of Civil and Environmental Engineering, Cornell University, Ithaca, New York, USA

4. Water Resources Mission Area, United States Geological Survey, Denver, Colorado, USA

5. Department of Environment, Land and Infrastructure Engineering, Politecnico Di Torino, Turin, Italy

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.1879389

Reference89 articles.

1. Acreman, M.C. and Wiltshire, S.E., 1989. The regions are dead: long live the regions. Methods of identifying and dispensing with regions for flood frequency analysis. In: L. Roald, K. Nordseth, and K.A. Hassel, eds. FRIENDS in Hydrology. Wallingford, UK: IAHS Press, 187.

2. Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?

3. Map correlation method: Selection of a reference streamgage to estimate daily streamflow at ungaged catchments

4. Runoff Prediction in Ungauged Basins

5. Evaluation of regional flood frequency analysis with a region of influence approach

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