Nonstationarity versus scaling in hydrology

Koutsoyiannis, D

dc.contributor.author	Koutsoyiannis, D	en
dc.date.accessioned	2014-03-01T01:24:46Z
dc.date.available	2014-03-01T01:24:46Z
dc.date.issued	2006	en
dc.identifier.issn	0022-1694	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17420
dc.subject	Climatic changes	en
dc.subject	Climatic variability	en
dc.subject	Hurst phenomenon	en
dc.subject	Hydrological design	en
dc.subject	Hydrological statistics	en
dc.subject	Nonstationarity	en
dc.subject	Risk	en
dc.subject	Scaling	en
dc.subject	Statistical estimates	en
dc.subject	Statistical tests	en
dc.subject	Uncertainty.	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Water Resources	en
dc.subject.other	Climate change	en
dc.subject.other	Computer simulation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Statistical tests	en
dc.subject.other	Stochastic programming	en
dc.subject.other	Time series analysis	en
dc.subject.other	Climatic variability	en
dc.subject.other	Hurst phenomenon	en
dc.subject.other	Hydrological design	en
dc.subject.other	Hydrological statistics	en
dc.subject.other	Nonstationarity	en
dc.subject.other	Risk	en
dc.subject.other	Scaling	en
dc.subject.other	Statistical estimates	en
dc.subject.other	Uncertainties	en
dc.subject.other	Hydrology	en
dc.subject.other	Climate change	en
dc.subject.other	Computer simulation	en
dc.subject.other	Hydrology	en
dc.subject.other	Mathematical models	en
dc.subject.other	Statistical tests	en
dc.subject.other	Stochastic programming	en
dc.subject.other	Time series analysis	en
dc.subject.other	climate change	en
dc.subject.other	hydrology	en
dc.subject.other	statistical analysis	en
dc.title	Nonstationarity versus scaling in hydrology	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.jhydrol.2005.09.022	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.jhydrol.2005.09.022	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	The perception of a changing climate, which impacts also hydrological processes, is now generally admitted. However, the way of handling the changing nature of climate in hydrologic practice and especially in hydrological statistics has not become clear so far. The most common modelling approach is to assume that long-term trends, which have been found to be omnipresent in long hydrological time series, are 'deterministic' components of the time series and the processes represented by the time series are nonstationary. In this paper, it is maintained that this approach is contradictory in its rationale and even in the terminology it uses. As a result, it may imply misleading perception of phenomena and estimate of uncertainty. Besides, it is maintained that a stochastic approach hypothesizing stationarity and simultaneously admitting a scaling behaviour reproduces climatic trends (considering them as large-scale fluctuations) in a manner that is logically consistent, easy to apply and free of paradoxical results about uncertainty. (c) 2006 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Hydrology	en
dc.identifier.doi	10.1016/j.jhydrol.2005.09.022	en
dc.identifier.isi	ISI:000238553600017	en
dc.identifier.volume	324	en
dc.identifier.issue	1-4	en
dc.identifier.spage	239	en
dc.identifier.epage	254	en