<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260211</CreaDate>
    <CreaTime>10202200</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 des dernières 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>Environnement</keyword>
      <keyword>Eaux intérieures</keyword>
      <keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
      <keyword>190_PUBLISHVECTORS_c46e5b598dbe489081c870eea9da090f</keyword>
    </searchKeys>
    <idPurp>Qualite Des Eaux - Macrofaune Benthique - Derniere Campagne</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Qualite Des Eaux - Macrofaune Benthique - Derniere Campagne</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
