Inadmissible evidence: knowledge and prediction in land and riverscapes
Identifieur interne : 004A24 ( PascalFrancis/Corpus ); précédent : 004A23; suivant : 004A25Inadmissible evidence: knowledge and prediction in land and riverscapes
Auteurs : Graham Harris ; A. L. HeathwaiteSource :
- Journal of hydrology : (Amsterdam) [ 0022-1694 ] ; 2005.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
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.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 05-0170659 INIST |
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ET : | Inadmissible evidence: knowledge and prediction in land and riverscapes |
AU : | HARRIS (Graham); HEATHWAITE (A. L.); HEATHWAITE (A. Louise); BILLEN (Gilles); GIBSON (Chris); NEAL (Colin); STEENVOORDEN (Joop); WITHERS (Paul) |
AF : | University of Tasmania/Sandy Bay, Hobart, Tasmania 7005/Australie (1 aut.); Centre for Sustainable Water Management, The Lancaster Environment Centre, Lancaster University/Lancaster LA1 4YQ/Royaume-Uni (2 aut.); Centre for Sustainable Water Management, The Lancaster Environment Centre, Lancaster University/Lancaster LA1 4YQ/Royaume-Uni (1 aut.); Université P et M. Curie, Paris 6 Sisyphe, UMR 7619, 4 place Jussieu/75252 Paris/France (2 aut.); Agricultural & Environmental Science Division, Department of Agriculture and Rural Development, Newforge Lane/Belfast BT9 5PX/Iran (3 aut.); Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford/Wallingford OX10 8BB/Royaume-Uni (4 aut.); Alterra, Droevendaalsesteeg 3, Postbus 47/6700 AA Wageningen/Pays-Bas (5 aut.); ADAS Consulting, Wergs Road/Wolverhampton WV6 8TQ/Royaume-Uni (6 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Journal of hydrology : (Amsterdam); ISSN 0022-1694; Coden JHYDA7; Pays-Bas; Da. 2005; Vol. 304; No. 1-4; Pp. 3-19; Bibl. 2 p.3/4 |
LA : | Anglais |
EA : | 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. |
CC : | 226A01; 220B02; 001E01N01; 001E01B02 |
FD : | Angleterre; Devonshire; Prévision; Qualité eau; Cours eau; Bassin versant; Climat; Fluctuation; Concentration; Fractal; Elément nutritif; Modèle; Gestion; Transport fluviatile; Débit rivière; Nitrate; Phosphate |
FG : | Grande Bretagne; Royaume Uni; Europe Ouest; Europe |
ED : | England; Devonshire England; prediction; water quality; streams; drainage basins; climate; fluctuations; concentration; fractals; nutrients; models; management; stream transport; river discharge; nitrates; phosphates |
EG : | Great Britain; United Kingdom; Western Europe; Europe |
SD : | Inglaterra; Previsión; Calidad agua; Curso agua; Cuenca; Clima; Fluctuación; Concentración; Fractal; Nutriente; Modelo; Gestión; Transporte fluvial; Caudal río; Nitrato; Fosfato |
LO : | INIST-13239.354000126355210020 |
ID : | 05-0170659 |
Links to Exploration step
Pascal:05-0170659Le document en format XML
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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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<ET>Inadmissible evidence: knowledge and prediction in land and riverscapes</ET>
<AU>HARRIS (Graham); HEATHWAITE (A. L.); HEATHWAITE (A. Louise); BILLEN (Gilles); GIBSON (Chris); NEAL (Colin); STEENVOORDEN (Joop); WITHERS (Paul)</AU>
<AF>University of Tasmania/Sandy Bay, Hobart, Tasmania 7005/Australie (1 aut.); Centre for Sustainable Water Management, The Lancaster Environment Centre, Lancaster University/Lancaster LA1 4YQ/Royaume-Uni (2 aut.); Centre for Sustainable Water Management, The Lancaster Environment Centre, Lancaster University/Lancaster LA1 4YQ/Royaume-Uni (1 aut.); Université P et M. Curie, Paris 6 Sisyphe, UMR 7619, 4 place Jussieu/75252 Paris/France (2 aut.); Agricultural & Environmental Science Division, Department of Agriculture and Rural Development, Newforge Lane/Belfast BT9 5PX/Iran (3 aut.); Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford/Wallingford OX10 8BB/Royaume-Uni (4 aut.); Alterra, Droevendaalsesteeg 3, Postbus 47/6700 AA Wageningen/Pays-Bas (5 aut.); ADAS Consulting, Wergs Road/Wolverhampton WV6 8TQ/Royaume-Uni (6 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of hydrology : (Amsterdam); ISSN 0022-1694; Coden JHYDA7; Pays-Bas; Da. 2005; Vol. 304; No. 1-4; Pp. 3-19; Bibl. 2 p.3/4</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>226A01; 220B02; 001E01N01; 001E01B02</CC>
<FD>Angleterre; Devonshire; Prévision; Qualité eau; Cours eau; Bassin versant; Climat; Fluctuation; Concentration; Fractal; Elément nutritif; Modèle; Gestion; Transport fluviatile; Débit rivière; Nitrate; Phosphate</FD>
<FG>Grande Bretagne; Royaume Uni; Europe Ouest; Europe</FG>
<ED>England; Devonshire England; prediction; water quality; streams; drainage basins; climate; fluctuations; concentration; fractals; nutrients; models; management; stream transport; river discharge; nitrates; phosphates</ED>
<EG>Great Britain; United Kingdom; Western Europe; Europe</EG>
<SD>Inglaterra; Previsión; Calidad agua; Curso agua; Cuenca; Clima; Fluctuación; Concentración; Fractal; Nutriente; Modelo; Gestión; Transporte fluvial; Caudal río; Nitrato; Fosfato</SD>
<LO>INIST-13239.354000126355210020</LO>
<ID>05-0170659</ID>
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