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Hurst-Kolmogorov Dynamics and Uncertainty

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dc.contributor.author Koutsoyiannis, D en
dc.date.accessioned 2014-03-01T01:35:50Z
dc.date.available 2014-03-01T01:35:50Z
dc.date.issued 2011 en
dc.identifier.issn 1093-474X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/21206
dc.subject Climate change en
dc.subject Climate variability en
dc.subject Hurst-Kolmogorov dynamics en
dc.subject Planning en
dc.subject Stationarity en
dc.subject Stochastic models en
dc.subject Uncertainty analysis en
dc.subject.classification Engineering, Environmental en
dc.subject.classification Geosciences, Multidisciplinary en
dc.subject.classification Water Resources en
dc.subject.other Athens , Greece en
dc.subject.other Climate variability en
dc.subject.other Hurst-Kolmogorov dynamics en
dc.subject.other Hydroclimatic en
dc.subject.other Kolmogorov en
dc.subject.other Natural process en
dc.subject.other Non-stationarities en
dc.subject.other Nonstationary en
dc.subject.other Stationarity en
dc.subject.other Statistical characteristics en
dc.subject.other Stochastic approach en
dc.subject.other Stochastic dynamics en
dc.subject.other Stochastics en
dc.subject.other Time-scales en
dc.subject.other Climate change en
dc.subject.other Climate models en
dc.subject.other Models en
dc.subject.other Planning en
dc.subject.other Stochastic models en
dc.subject.other Stochastic systems en
dc.subject.other Time series en
dc.subject.other Water supply en
dc.subject.other Water supply systems en
dc.subject.other Uncertainty analysis en
dc.subject.other climate modeling en
dc.subject.other climate variation en
dc.subject.other hydrometeorology en
dc.subject.other stochasticity en
dc.subject.other turbulence en
dc.subject.other uncertainty analysis en
dc.subject.other water management en
dc.subject.other water planning en
dc.subject.other water supply en
dc.subject.other Athens [Attica] en
dc.subject.other Attica en
dc.subject.other Greece en
dc.title Hurst-Kolmogorov Dynamics and Uncertainty en
heal.type journalArticle en
heal.identifier.primary 10.1111/j.1752-1688.2011.00543.x en
heal.identifier.secondary http://dx.doi.org/10.1111/j.1752-1688.2011.00543.x en
heal.language English en
heal.publicationDate 2011 en
heal.abstract The nonstatic, ever changing hydroclimatic processes are often described as nonstationary. However, revisiting the notions of stationarity and nonstationarity, defined within stochastics, suggests that claims of nonstationarity cannot stand unless the evolution in time of the statistical characteristics of the process is known in deterministic terms, particularly for the future. In reality, long-term deterministic predictions are difficult or impossible. Thus, change is not synonymous with nonstationarity, and even prominent change at a multitude of time scales, small and large, can be described satisfactorily by a stochastic approach admitting stationarity. This ""novel"" description does not depart from the 60- to 70-year-old pioneering works of Hurst on natural processes and of Kolmogorov on turbulence. Contrasting stationary with nonstationary has important implications in engineering and management. The stationary description with Hurst-Kolmogorov stochastic dynamics demonstrates that nonstationary and classical stationary descriptions underestimate the uncertainty. This is illustrated using examples of hydrometeorological time series, which show the consistency of the Hurst-Kolmogorov approach with reality. One example demonstrates the implementation of this framework in the planning and management of the water supply system of Athens, Greece, also in comparison with alternative nonstationary approaches, including a trend-based and a climate-model-based approach. © 2011 American Water Resources Association. en
heal.publisher WILEY-BLACKWELL en
heal.journalName Journal of the American Water Resources Association en
dc.identifier.doi 10.1111/j.1752-1688.2011.00543.x en
dc.identifier.isi ISI:000291224900006 en
dc.identifier.volume 47 en
dc.identifier.issue 3 en
dc.identifier.spage 481 en
dc.identifier.epage 495 en


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