IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water engineering : Realistic flow time series generation approach
Realistic flow time series generation approach
In nearly all projects involving the study of river flow and its variability (e.g. on Water Resource Management or
Environmental Protection), the selection/definition of the flowĄŻs time series is of great importance. Commonly, available
time series suffer from either being too short or from having too many missing values for the desired applications, thereby
limiting its interest, relevance and applicability. In the present paper we study the possibility of generating a large number
of flow time series by using a non-parametric methodology, or, conversely, of creating a long, realistic, flow series from a
comparatively small amount of observed data. Overall, this procedure involves the separation of the available observed
time series into its multiple components (i.e. periodicity, random variation, etc.), the assessment and disentanglement of
their respective relevance, as well as the generation/sampling of time series values, all within a univariate framework. The
proposed methodology produced good results with only a minimal amount of user intervention (the method only requires
the definition of one parameter). As is, the method is capable of reproducing common and complex streamflow structures
(including streamflow recession), displaying only a relatively small amount of noise-like variation resulting from its
stochastic nature. Conversely, it should be noted that this method makes little assumption in regard to the seriesĄŻ behavior
and is therefore limited to reproducing results with the same quality as that of the input data (the observed streamflow
series). Ergo, care should be taken when applying this method using very short observed streamflow series as references.
File Size : 2,068,215 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water engineering
Date Published : 19/08/2015
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