<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260505</CreaDate>
<CreaTime>04142800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>L'appréciation de la qualité des cours d'eau à l'aide des nutriments est guidée par le système modulaire gradué et permet de juger si les exigences chiffrées figurant dans l'annexe 2 de l'Ordonnance sur la protection des eaux (OEaux) sont respectées Méthodes d'analyse et d'appréciation des cours d'eau: Nutriments (OFEV)&lt;br /&gt;&lt;br /&gt;Dans cette évaluation, cinq paramètres sont mesurés : le carbone organique dissous (COD), l'ammonium (N-NH4), le nitrite (N-NO2), le nitrate (N-NO3) et l'orthophosphate (P-PO4).&lt;br /&gt;&lt;br /&gt;La catégorisation de la valeur annuelle, calculée à partir des concentrations mesurées, se distingue en 5 classes de qualité de très bonne à mauvaise.&lt;br /&gt;&lt;br /&gt;Ces paramètres sont les témoins de pollution organique dans les milieux aquatiques (par exemple les effluents de STEP ou les pratiques agricoles)&lt;br /&gt; &lt;br /&gt;Valeur COD (mg/L)&lt;br /&gt;&lt;br /&gt;&amp;lt; 2.00➜ Très bon état&lt;br /&gt;[2.00 - 4.00[ ➜ Bon état&lt;br /&gt;[4.00 - 6.00[ ➜ Etat moyen&lt;br /&gt;[6.00 - 8.00[ ➜ Etat médiocre&lt;br /&gt;≥ 8.00 ➜ Etat mauvais&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Valeur de l'ammonium (mg/L)&lt;br /&gt;&lt;br /&gt;&amp;lt; 0.08➜ Très bon état&lt;br /&gt;[0.08 - 0.40 [ ➜ Bon état&lt;br /&gt;[0.40 - 0.60[ ➜ Etat moyen&lt;br /&gt;[0.60 - 0.80[ ➜ Etat médiocre&lt;br /&gt;≥ 0.80 ➜ Etat mauvais&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Valeur du nitrite(mg/L)&lt;br /&gt;&lt;br /&gt;&amp;lt; 0.05➜ Très bon état&lt;br /&gt;[0.05 - 0.10 [ ➜ Bon état&lt;br /&gt;[0.10 - 0.15[ ➜ Etat moyen&lt;br /&gt;[0.15 - 0.20[ ➜ Etat médiocre&lt;br /&gt;≥ 0.20 ➜ Etat mauvais&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Valeur du nitrate (mg/L)&lt;br /&gt;&lt;br /&gt;&amp;lt; 1.50➜ Très bon état&lt;br /&gt;[1.50- 5.60 [ ➜ Bon état&lt;br /&gt;[5.60 - 8.40[ ➜ Etat moyen&lt;br /&gt;[8.40 - 11.2[ ➜ Etat médiocre&lt;br /&gt;≥ 11.2 ➜ Etat mauvais&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Valeur de l'orthophosate (mg/L)&lt;br /&gt;&lt;br /&gt;&amp;lt; 0.02➜ Très bon état&lt;br /&gt;[0.02 - 0.04 [ ➜ Bon état&lt;br /&gt;[0.04 - 0.06[ ➜ Etat moyen&lt;br /&gt;[0.06 - 0.08[ ➜ Etat médiocre&lt;br /&gt;≥ 0.08 ➜ Etat mauvais&lt;br /&gt;&lt;br /&gt;La valeur -99 correspond à un élément Non analysé&lt;br /&gt;La valeur -10 correspond à un élément Non détecté</idAbs>
<searchKeys>
<keyword>Eaux intérieures</keyword>
<keyword>Environnement</keyword>
</searchKeys>
<idPurp>Qualité Des Eaux - Éléments Majeurs - Dernière Campagne</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Qualité Des Eaux - Éléments Majeurs - Dernière Campagne</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
