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Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau

Identifieur interne : 000072 ( Hal/Corpus ); précédent : 000071; suivant : 000073

Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau

Auteurs : Agnès Braud ; Sandra Bringay ; Flavie Cernesson ; Xavier Dolques ; Mickaël Fabrègue ; Corinne Grac ; Nathalie Lalande ; Florence Le Ber ; Maguelonne Teisseire

Source :

RBID : Hal:hal-01102727

Descripteurs français

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-01102727

Le document en format XML

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<term>Feedbacks</term>
<term>Hydrology</term>
<term>Integrated Database</term>
<term>Multi-source data</term>
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<term>Base de données intégrée</term>
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<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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<title xml:lang="fr">Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau</title>
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<forename type="first">Agnès</forename>
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<forename type="first">Sandra</forename>
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<idno type="halRefHtml">Atelier SI et Environnement - Conférence Inforsid - 21 mai 2014. 2014, pp.15</idno>
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<idno type="stamp" n="IRSTEA">IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (anciennement Cemagref)</idno>
<idno type="stamp" n="UNIV-STRASBG">Université de Strasbourg</idno>
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<title xml:lang="fr">Une expérience de constitution d'un système d'information multi-sources pour l'étude de la qualité de l'eau</title>
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<forename type="first">Agnès</forename>
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<forename type="first">Mickaël</forename>
<surname>Fabrègue</surname>
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<forename type="first">Maguelonne </forename>
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<keywords scheme="author">
<term xml:lang="en">Feedbacks</term>
<term xml:lang="en">Multi-source data</term>
<term xml:lang="en">Hydrology</term>
<term xml:lang="en">Integrated Database</term>
<term xml:lang="fr">hydrologie</term>
<term xml:lang="fr">données multi-sources</term>
<term xml:lang="fr">retour d'expérience</term>
<term xml:lang="fr">Base de données intégrée</term>
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<classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
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<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.</abstract>
<abstract xml:lang="fr">Pour mieux appréhender le fonctionnement des hydro-écosystèmes, sont disponibles des données nombreuses et diverses : données relatives à la qualité de l'eau ou aux stations de mesures, données décrivant le réseau hydrographique, etc. Ces données spatialement définies sont complexes à structurer et à relier de par leur volume et leur nature variables. Elles ont des origines, des valeurs, des structures spatiales et des répartitions temporelles diverses. Cet article fait l'état des problématiques rencontrées dans la collecte et la structuration de ces don-nées, pour les deux zones étudiées, les districts Rhin-Meuse et Rhône-Méditerranée et Corse.</abstract>
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