<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260210</CreaDate>
<CreaTime>13481500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>COURBES ENVELOPPANTES - PROJET DE NOUVEAU BRUIT ADMISSIBLE DE L'AEROPORT DE GENEVE - PRONOSTIC POUR 2022&lt;br /&gt;&lt;br /&gt;Le projet de nouveau bruit admissible de l'aéroport de Genève est constitué de courbes d'exposition au bruit des aéronefs sur la base d'un pronostic de trafic 2022 selon les tranches horaires de l'ordonnance sur la protection contre le bruit (OPB).&lt;br /&gt;&lt;br /&gt;La fixation formelle du nouveau bruit admissible de l'aéroport de Genève au sens de l'article 37a OPB interviendra au terme de la procédure initiée par l'Office fédéral de l'aviation civile (OFAC) le 18 septembre 2019. Cette procédure porte sur une demande d'approbation de plans et de modification du règlement d'exploitation soumise par Genève Aéroport le 2 septembre 2019 et intitulée « Sortie rapide en piste 04 et mesures opérationnelles ».&lt;br /&gt;&lt;br /&gt;Ces données géographiques sont publiées sous forme de courbes d'exposition au bruit des aéronefs "décibel par décibel" et mises à disposition du public sur le site du SITG.&lt;br /&gt;Ceci en attendant l'aboutissement de la procédure en cours et la fixation formelle du nouveau bruit admissible de l'aéroport de Genève par l'autorité de décision fédérale.&lt;br /&gt;&lt;br /&gt;Les courbes de type "enveloppantes" superposent les courbes de bruit par tranches horaires définies dans l'OPB. L'empreinte au sol de cette courbe enveloppante représente la situation la plus défavorable, toutes périodes confondues.</idAbs>
<searchKeys>
<keyword>Cadastre / aménagement</keyword>
<keyword>Environnement</keyword>
<keyword>Santé</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_990cf0bed65b408296b3d7485ea8ce8e</keyword>
</searchKeys>
<idPurp>Courbes enveloppantes avions - Pronostic 2022</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Courbes enveloppantes avions - Pronostic 2022</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
