AustralieFrV1, PascalFrancis, Checkpoint, bibRecord, 004549

Inadmissible evidence: knowledge and prediction in land and riverscapes

Identifieur interne : 004549 ( PascalFrancis/Checkpoint ); précédent : 004548; suivant : 004550

Inadmissible evidence: knowledge and prediction in land and riverscapes

Auteurs : Graham Harris [Australie] ; A. L. Heathwaite [Royaume-Uni]

Source :

Journal of hydrology : (Amsterdam) [ 0022-1694 ] ; 2005.

RBID : Pascal:05-0170659

Descripteurs français

Pascal (Inist)
- Angleterre, Devonshire, Prévision, Qualité eau, Cours eau, Bassin versant, Climat, Fluctuation, Concentration, Fractal, Elément nutritif, Modèle, Gestion, Transport fluviatile, Débit rivière, Nitrate, Phosphate.
Wicri :
- topic : Climat, Gestion, Phosphate.

English descriptors

KwdEn :
- Devonshire England, England, climate, concentration, drainage basins, fluctuations, fractals, management, models, nitrates, nutrients, phosphates, prediction, river discharge, stream transport, streams, water quality.

Abstract

Analyses of daily water quality data from two streams draining a pair of small coastal catchments in South Devon, England reveal that what conventionally would be thought to show random noise, has a discernable structure and is clear evidence of process. Catchment and aquatic systems are non-equilibrium systems and climate drivers cause fluctuations in water quality both in terms of the concentrations of individual parameters and in the correlations between parameters. The data reveal nonlinear coupling at small scales and show evidence of fractal properties both of which may be evidence of self-organised phenomena at small scales in catchments and streams. These data show that: (a) water quality and catchment nutrient export data may be strongly aliased, and (b) there is a fundamental degree of indeterminacy underlying the data we can collect and the knowledge we can generate from the data. New techniques of data based modelling that use the data itself to define more parsimonious predictive models are needed because such an approach recognises the partial nature of our knowledge and requires adequate monitoring and adaptive management programs.

Affiliations:

Australie, Royaume-Uni

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Le document en format XML

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<term>concentration</term>
<term>drainage basins</term>
<term>fluctuations</term>
<term>fractals</term>
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<term>models</term>
<term>nitrates</term>
<term>nutrients</term>
<term>phosphates</term>
<term>prediction</term>
<term>river discharge</term>
<term>stream transport</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Angleterre</term>
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<term>Qualité eau</term>
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<term>Bassin versant</term>
<term>Climat</term>
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<term>Modèle</term>
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<front><div type="abstract" xml:lang="en">Analyses of daily water quality data from two streams draining a pair of small coastal catchments in South Devon, England reveal that what conventionally would be thought to show random noise, has a discernable structure and is clear evidence of process. Catchment and aquatic systems are non-equilibrium systems and climate drivers cause fluctuations in water quality both in terms of the concentrations of individual parameters and in the correlations between parameters. The data reveal nonlinear coupling at small scales and show evidence of fractal properties both of which may be evidence of self-organised phenomena at small scales in catchments and streams. These data show that: (a) water quality and catchment nutrient export data may be strongly aliased, and (b) there is a fundamental degree of indeterminacy underlying the data we can collect and the knowledge we can generate from the data. New techniques of data based modelling that use the data itself to define more parsimonious predictive models are needed because such an approach recognises the partial nature of our knowledge and requires adequate monitoring and adaptive management programs.</div>
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   |clé=     Pascal:05-0170659
   |texte=   Inadmissible evidence: knowledge and prediction in land and riverscapes
}}

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	Serveur d'exploration sur les relations entre la France et l'Australie
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Serveur d'exploration sur les relations entre la France et l'Australie

Inadmissible evidence: knowledge and prediction in land and riverscapes

Inadmissible evidence: knowledge and prediction in land and riverscapes

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