Multi‐scale Approach to Hydrological Classification Provides Insight to Flow Structure in Altered River System

作者: J. J. Spurgeon , M. A. Pegg , M. J. Hamel

DOI: 10.1002/RRA.3041

关键词: Flow patternHydrologyHydrology (agriculture)Multivariate statisticalTemporal scalesTributaryStatistical analysisEnvironmental scienceFlow (mathematics)Scale (map)

摘要: Rivers are hierarchical systems exhibiting processes and patterns across spatial temporal scales principally driven by changes in flow. Hydrological indices estimated with mean or median daily flow data (i.e. scale) may be insensitive to anthropogenic alteration that imparts sub-daily variation Therefore, developed at multiple resolutions provide additional insight into the presence of masked traditional techniques. We characterized regime along longitudinal gradient Platte River, a large Great Plains USA river, using hydrological derived combination multivariate statistical Three unique units were evident scale data, whereas six scale. Flow both not static, but rather extent riverscape depended on climate, tributary inflows human influence. Anthropogenic including hydropeaking was The full complement structure within regulated rivers, therefore, captured discharge values alone. Inductive river classification studies benefit from assessing scales, particularly when investigating modification such as hydropeaking. Copyright © 2016 John Wiley & Sons, Ltd.

参考文章(49)
S. Schmutz, T. H. Bakken, T. Friedrich, F. Greimel, A. Harby, M. Jungwirth, A. Melcher, G. Unfer, B. Zeiringer, Response of Fish Communities to Hydrological and Morphological Alterations in Hydropeaking Rivers of Austria River Research and Applications. ,vol. 31, pp. 919- 930 ,(2015) , 10.1002/RRA.2795
Daniel Ginting, Ronald B. Zelt, Joshua I. Linard, Temporal Differences in the Hydrologic Regime of the Lower Platte River, Nebraska, 1895-2006 Scientific Investigations Report. ,(2008) , 10.3133/SIR20075267
M. J. Bond, N. E. Jones, Spatial Distribution of Fishes in Hydropeaking Tributaries of Lake Superior River Research and Applications. ,vol. 31, pp. 120- 133 ,(2015) , 10.1002/RRA.2720
Ryan A. McManamay, Mark S. Bevelhimer, Shih-Chieh Kao, Updating the US hydrologic classification: an approach to clustering and stratifying ecohydrologic data Ecohydrology. ,vol. 7, pp. 903- 926 ,(2014) , 10.1002/ECO.1410
Ryan A. McManamay, Mark S. Bevelhimer, Emmanuel A. Frimpong, Associations among hydrologic classifications and fish traits to support environmental flow standards Ecohydrology. ,vol. 8, pp. 460- 479 ,(2015) , 10.1002/ECO.1517
Maria Cristina Bruno, Matthew J. Cashman, Bruno Maiolini, Sofia Biffi, Guido Zolezzi, Responses of benthic invertebrates to repeated hydropeaking in semi‐natural flume simulations Ecohydrology. ,vol. 9, pp. 68- 82 ,(2016) , 10.1002/ECO.1611
Daniel Ayllón, Graciela G. Nicola, Irene Parra, Benigno Elvira, Ana Almodóvar, Spatio‐temporal habitat selection shifts in brown trout populations under contrasting natural flow regimes Ecohydrology. ,vol. 7, pp. 569- 579 ,(2014) , 10.1002/ECO.1379
STUART E. BUNN, ANGELA H. ARTHINGTON, Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environmental Management. ,vol. 30, pp. 492- 507 ,(2002) , 10.1007/S00267-002-2737-0
Vincent H. Travnichek, Mark B. Bain, Michael J. Maceina, Recovery of a Warmwater Fish Assemblage after the Initiation of a Minimum-Flow Release Downstream from a Hydroelectric Dam Transactions of The American Fisheries Society. ,vol. 124, pp. 836- 844 ,(1995) , 10.1577/1548-8659(1995)124<0836:ROAWFA>2.3.CO;2