<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260627</CreaDate>
<CreaTime>08385800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Le macrozoobenthos - méthode IBCH_2019 &lt;br /&gt;&lt;br /&gt;Le macrozoobenthos regroupe l'ensemble des petits animaux aquatiques qui vivent sur le fond de la rivière : larves d'insectes, mollusques, crustacés, vers,…Ils intègrent à la fois la qualité physico-chimique de l'eau, l'hydrologie et également la morphologie du cours d'eau.&lt;br /&gt;&lt;br /&gt;Cette couche représente l'état biologique de l'ensemble des campagnes de prélèvement hivernaux (février-mars) qui diagnostique le meilleur potentiel écologique de la station.&lt;br /&gt;&lt;br /&gt;Les résultats sont répartis en 5 classes d'état biologique en fonction de la diversité des organismes échantillonnés et de leur sensibilité aux pollutions :&lt;br /&gt;&lt;br /&gt;Valeur de l'IBCH ➜ Etat Biologique:&lt;br /&gt;&lt;br /&gt;0.8 - 1 ➜ Très bon état&lt;br /&gt;0.6 - 0.79 ➜ Bon état&lt;br /&gt;0.4 - 0.59 ➜ Etat moyen&lt;br /&gt;0.2 - 0.39 ➜ Etat médiocre&lt;br /&gt;&amp;lt; 0.2 ➜ Etat mauvais</idAbs>
<searchKeys>
<keyword>Biologie</keyword>
<keyword>Eaux intérieures</keyword>
<keyword>Environnement</keyword>
</searchKeys>
<idPurp>Qualite Des Eaux - Macrofaune Benthique - Toutes Mesures</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Qualite Des Eaux - Macrofaune Benthique - Toutes Mesures</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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==</Data>
</Thumbnail>
</Binary>
</metadata>
