<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20251218</CreaDate>
<CreaTime>11223700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Par inondation, on entend le débordement d'un cours d'eau hors de son lit. Le caractère plus ou moins dangereux des inondations dépend de la hauteur d'eau et de la force du courant atteinte, ainsi que de la quantité de matériaux charriés.&lt;br /&gt;&lt;br /&gt;La détermination des zones d'inondation se fait par rapport à la topographie. Pour certaines zones, l'apparition d'inondations dépend de conditions particulières concomitantes au déroulement de l'évènement de crue, comme: les embâcles sous les ponts et passerelles, la rupture d'un ouvrage de protection ou les courbes de remous aux points de confluence des cours d'eau ou du lac.&lt;br /&gt;&lt;br /&gt;Les périodes de retour pour lesquelles les zones d'inondation ont été déterminées sont de 30, 100 et 300 ans et pour certains cours d'eau 2 et 10 ans. Les zones d'inondation conditionnelle sont représentatives des conditions particulières décrites ci-dessus.</idAbs>
<searchKeys>
<keyword>Cadastre</keyword>
<keyword>aménagement</keyword>
<keyword>Eaux intérieures</keyword>
<keyword>Sciences de la terre</keyword>
</searchKeys>
<idPurp>Inondation conditionnelle</idPurp>
<idCredit>© 2025 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Inondation conditionnelle</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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==</Data>
</Thumbnail>
</Binary>
</metadata>
