Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau
Identifieur interne : 000179 ( Main/Merge ); précédent : 000178; suivant : 000180Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau
Auteurs : Agnès Braud [France] ; Sandra Bringay [France] ; Flavie Cernesson [France] ; Xavier Dolques [France] ; Mickaël Fabrègue [France] ; Corinne Grac [France] ; Nathalie Lalande [France] ; Florence Le Ber [France] ; Maguelonne Teisseire [France]Source :
Descripteurs français
- mix :
- Wicri :
- topic : Hydrologie.
English descriptors
Abstract
To better understand hydrosystem functioning, several and various data can be used: data on water quality, data characterizing sampling reaches, data describing the hydrographic network, etc. All these data are spatial and complex to structure and to interconnect because of their volume and their nature. They are characterized by a high heterogeneity due to their origins, their values, their spatial structures and their temporal variability. This article reports problems encountered for data gathering, modeling and integration. The inventory is carried out on two french districts: Rhine-Meuse and Rhône-Mediterranean and Corsica.
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Hal:hal-01102727Le document en format XML
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<author><name sortKey="Teisseire, Maguelonne" sort="Teisseire, Maguelonne" uniqKey="Teisseire M" first="Maguelonne" last="Teisseire">Maguelonne Teisseire</name>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Feedbacks</term>
<term>Hydrology</term>
<term>Integrated Database</term>
<term>Multi-source data</term>
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<keywords scheme="mix" xml:lang="fr"><term>Base de données intégrée</term>
<term>données multi-sources</term>
<term>hydrologie</term>
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<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Hydrologie</term>
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<front><div type="abstract" xml:lang="en">To better understand hydrosystem functioning, several and various data can be used: data on water quality, data characterizing sampling reaches, data describing the hydrographic network, etc. All these data are spatial and complex to structure and to interconnect because of their volume and their nature. They are characterized by a high heterogeneity due to their origins, their values, their spatial structures and their temporal variability. This article reports problems encountered for data gathering, modeling and integration. The inventory is carried out on two french districts: Rhine-Meuse and Rhône-Mediterranean and Corsica.</div>
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