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| Bauer, Werner; Chandramouli, Pranav; Chapron, Bertrand; Li, Long; Mémin, Etienne. |
| An important open question in fluid dynamics concerns the effect of smallscales in structuring a fluid flow. In oceanic or atmospheric flows, this is aptly captured in wave-current interactions through the study of the wellknown Langmuir secondary circulation. Such wave-current interactions are described by the Craik-Leibovich system, in which the action of a wave induced velocity, the Stokes drift, produces a so called “vortex force” that causes streaking in the flow. In this work, we show that these results can be generalized as a generic effect of the spatial inhomogeneity of the statistical properties of the small-scale flow components. As demonstrated, this is well captured through a stochastic representation of the flow. |
| Tipo: Text |
Palavras-chave: Langmuir circulation; Baroclinic models; General circulation models; Stochastic models; Oscillations. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00610/72194/70975.pdf |
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| Perez Blanco, Carlos Dionisio; Gomez Gomez, Carlos Mario. |
| Water is a key input in the production of many goods and services and under certain conditions can become a critical limiting factor with significant impacts on regional development. This is the case of many agricultural European Mediterranean basins, where water deficit during drought events is partially covered by illegal abstractions, mostly from aquifers, which are tolerated by the authorities. Groundwater overexploitation for irrigation has created in these areas an unprecedented environmental catastrophe that threatens ecosystems sustainability, urban water supply and the current model of development. Market-based drought insurance systems have the potential to introduce the necessary incentives to reduce overexploitation during drought events and... |
| Tipo: Presentation |
Palavras-chave: Drought insurance; Stochastic models; Groundwater; Agriculture; Risk and Uncertainty; Q15; Q18; Q25; Q51; Q58. |
| Ano: 2012 |
URL: http://purl.umn.edu/122453 |
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| Pereira,J.C.R.; Tonelli,P.A.; Barros,L.C.; Ortega,N.R.S.. |
| The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Epidemiologic methods; Stochastic models; Fuzzy models; Clinical signs; Diagnosis; Data analysis. |
| Ano: 2004 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2004000500012 |
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