Mots-clés
Analyse spatiale ; Années 1958-2008 ; Changement climatique ; Cours d'eau ; Eau ; Eau de fonte ; Ecoulement fluvial ; Etats-Unis ; Idaho ; Modèle ; Oregon ; Précipitation ; Ressource en eau ; Réchauffement climatique ; Variation saisonnière ; Washington StateClimatic change ; Climatic warming ; Idaho ; Meltwater ; Model ; Oregon ; Precipitation ; Seasonal variation ; Spatial analysis ; Stream ; Stream flow ; United States of America ; Washington State ; Water ; Water resourcesAgua ; Agua de deshielo ; Análisis espacial ; Cambio climático ; Corriente de agua ; Escorrentíafluvial ; Estado de Washington ; Estados Unidos ; Modelo ; Precipitación ; Recalentamiento climático ; Recursos en agua ; Variación estacionalSpatial patterns of March and September streamflow trends in Pacific Northwest streams, 1958-2008
The geographical analysis of water problems
Auteur(s) et Affiliation(s)
CHANG, H.
Dep. of Geography, State Univ., Portland, Etats-Unis
Inst. for Sustainable Solutions, State Univ., Portland, Etats-Unis
JUNG, I.W.
Dep. of Geography, State Univ., Portland, Etats-Unis
Inst. for Sustainable Solutions, State Univ., Portland, Etats-Unis
STEELE, M.
Dep. of Geography, State Univ., Portland, Etats-Unis
GANNETT, M.
U.S. Geological Survey, Oregon Water Science Center, Portland, Etats-Unis
WENTZ, E.A.
School of Geographical Sciences and Urban Planning, Arizona State Univ., Tempe, Etats-Unis
Description :
This study detects significant negative trends in September absolute streamflow in a majority of 68 stream-gauging stations located on unregulated streams in the pacific Northwest (PNW) from 1958 to 2008. The geographically weighted regression (GWR) model results show spatial gradients of local R2 values with consistently higher local R2 values in the northern Cascades. This finding illustrates that different hydrologic landscape factors, such as geology and seasonal distribution of precipitation, also influence streamflow trends in the PNW. In addition, the spatial analysis model results show that considering various geographic factors help clarify the dynamics of streamflow trends over a large geographical area, supporting a spatial analysis approach over a spatial ordinary least squares (OLS)-estimated regression models for predicting streamflow trends.
Type de document :
Article de monographie
Source :
Geographical analysis, issn : 0016-7363, 2012, vol. 44, n°. 3, p. 177-201, nombre de pages : 25, Références bibliographiques : 2 p.
Date :
2012
Editeur :
Pays édition : Etats-Unis, Columbus, OH, Ohio State University Press
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)