<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230419</CreaDate>
<CreaTime>10413200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Resultats_de_surveillance_du_RESAEU</resTitle>
</idCitation>
<idAbs>Cette carte montre si les systèmes d’assainissement au Canada sont conformes aux normes de qualité des effluents du RESAEU plus de 75% du temps selon leur période de calcul. Les données incluent également les résultats en demande biochimique en oxygène de la partie carbonée (DBOC) et en matières en suspension (MES) pour chaque système d’assainissement qui déclarent ces résultats dans les dernières années.</idAbs>
<searchKeys>
<keyword>Règlement sur les effluents des systèmes d’assainissement des eaux usées</keyword>
<keyword>matières en suspension</keyword>
<keyword>demande biochimique en oxygène de la partie carbonée</keyword>
</searchKeys>
<idPurp>Résultats de la surveillance de la qualité des effluents pour le RESAEU.</idPurp>
<idCredit>Environnement et Changement climatique Canada, ministère de l’Environnement et de la Lutte contre les changements climatiques du Québec et Gouvernement du Yukon – ministère de l’Environnement</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
