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Fragmented patterns of flood change across the United States

Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior...

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Autores principales: Archfield, S. A., Hirsch, R. M., Viglione, A., Blöschl, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129637/
https://www.ncbi.nlm.nih.gov/pubmed/27917010
http://dx.doi.org/10.1002/2016GL070590
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author Archfield, S. A.
Hirsch, R. M.
Viglione, A.
Blöschl, G.
author_facet Archfield, S. A.
Hirsch, R. M.
Viglione, A.
Blöschl, G.
author_sort Archfield, S. A.
collection PubMed
description Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior of flood change across the United States can be described by four distinct groups, with streamgages experiencing (1) minimal change, (2) increasing frequency, (3) decreasing frequency, or (4) increases in all flood properties. Yet group membership shows only weak geographic cohesion. Lack of geographic cohesion is further demonstrated by weak correlations between the temporal patterns of flood change and large‐scale climate indices. These findings reveal a complex, fragmented pattern of flood change that, therefore, clouds the ability to make meaningful generalizations about flood change across the United States.
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spelling pubmed-51296372016-12-02 Fragmented patterns of flood change across the United States Archfield, S. A. Hirsch, R. M. Viglione, A. Blöschl, G. Geophys Res Lett Research Letters Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior of flood change across the United States can be described by four distinct groups, with streamgages experiencing (1) minimal change, (2) increasing frequency, (3) decreasing frequency, or (4) increases in all flood properties. Yet group membership shows only weak geographic cohesion. Lack of geographic cohesion is further demonstrated by weak correlations between the temporal patterns of flood change and large‐scale climate indices. These findings reveal a complex, fragmented pattern of flood change that, therefore, clouds the ability to make meaningful generalizations about flood change across the United States. John Wiley and Sons Inc. 2016-10-09 2016-10-16 /pmc/articles/PMC5129637/ /pubmed/27917010 http://dx.doi.org/10.1002/2016GL070590 Text en ©2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Letters
Archfield, S. A.
Hirsch, R. M.
Viglione, A.
Blöschl, G.
Fragmented patterns of flood change across the United States
title Fragmented patterns of flood change across the United States
title_full Fragmented patterns of flood change across the United States
title_fullStr Fragmented patterns of flood change across the United States
title_full_unstemmed Fragmented patterns of flood change across the United States
title_short Fragmented patterns of flood change across the United States
title_sort fragmented patterns of flood change across the united states
topic Research Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129637/
https://www.ncbi.nlm.nih.gov/pubmed/27917010
http://dx.doi.org/10.1002/2016GL070590
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