<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20250823</CreaDate>
    <CreaTime>05174500</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idAbs>Le réseau GEnevois d'Observation des Sols (GEOS) a pour objectif de réaliser un monitoring à long terme de l'évolution des teneurs en polluants du sol et plus généralement de sa fertilité. Le réseau est constitué de 103 sites de prélèvements représentatifs du territoire genevois. On y réalise tous les cinq ans des prélèvements à une profondeur de 20 cm depuis la surface. Les analyses de monitoring réalisées sur ces prélèvements portent notamment sur qualité des sols (pH, matière organique (MO) et rapport MO/Argile). Des analyses permettant la caractérisation des sites sont réalisées une fois sur chaque site (granulométrie, nutriments, calcaire et capacité d'échange cationique (CEC) effective).&lt;br /&gt;&lt;br /&gt;Les sites d'échantillonnage sont fixes, les prélèvements sont effectués exactement au mêmes endroits d'une campagne à l'autre. Ceci permet d'évaluer l'évolution des différents paramètres analysés au cours du temps, en s'affranchissant de leur possible variabilité spatiale. De plus, les sites sont représentatifs de l'occupation des sols du canton. Ils ont été répartis dans huit catégories ans un souci de proportionnalité par rapport à l'occupation de la surface totale des sols du Canton: Grandes Cultures (GC), Cultures Maraîchères (CM), Viticultures (VI), Arboriculture (AR), Prairies (PR), Forêts (FO), Parcs et Jardins (PJ) et Sites Naturels (SN).&lt;br /&gt;&lt;br /&gt;La couche GOL_GEOS_SYNTHESE propose la synthèse des analyses de pollution pour chaque site. Ses données sont des résumés statistiques tirés de la couche GOL_GEOS_ANALYSES. Elles permettent d'indiquer, pour chaque site, combien de polluants dépassent les différentes valeurs établies par l'OFEV. L'actualisation de cette couche se ferait donc à la fin de chaque campagne, tous les cinq ans environ.&lt;br /&gt;&lt;br /&gt;GEOS a été instauré en 1990 par le Laboratoire Cantonal d'Agronomie de Genève aujourd'hui rattaché à la Hate Ecole du Paysage, d'Ingénierie et d'architecture de Genève (HEPIA), dans le Groupe Sols et Substrats. Des prélèvements ont eu lieu en 1990 (campagne 1990-1994), 1995 (campagne 1995-1999) et 2000 (campagne 2000-2004). En 2010, le GESDEC (Service de Géologie, Sols et Déchet) mandate officiellement le groupe Sols et Substrats de HEPIA pour remettre en oeuvre le suivi du réseau GEOS dans le cadre d'application de l'Ordonnance fédérale sur les atteintes portées aux sols (OSol). Deux campagnes ont depuis été réalisées (de 2010 à 2016 puis de 2017 à 2022).</idAbs>
    <searchKeys>
      <keyword>Sciences de la terre</keyword>
    </searchKeys>
    <idPurp>Synthèse des analyses géos</idPurp>
    <idCredit>© 2025 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Synthèse des analyses géos</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
