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<Esri>
<CreaDate>20241017</CreaDate>
<CreaTime>17463800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
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<idCitation>
<resTitle>RES_LIMNI_DGARNE</resTitle>
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<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Ce service de visualisation REST permet de consulter la couche de données "Réseau des stations limnimétriques sur les cours d&#146;eau non-navigables (AQUALIM)".&lt;/span&gt;&lt;span&gt; &lt;/span&gt;&lt;span&gt;Le réseau de mesure de la DGO3 comporte actuellement 175 stations limnimétriques qui enregistrent les hauteurs d'eau au pas de temps de 10 minutes. Les données de hauteur d'eau sont ensuite converties en débit à partie des courbes de tarage (relation hauteur - débit). &lt;/span&gt;&lt;span&gt;Pour plus d'informations, consultez https://geoportail.wallonie.be/catalogue/96458822-8ec0-4f6e-bebd-2a611beb62b5.html&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Hydrométrie</keyword>
<keyword>Limnimétrie</keyword>
<keyword>Débit</keyword>
<keyword>Rivière</keyword>
<keyword>Jaugeage</keyword>
<keyword>Réseau de mesures</keyword>
</searchKeys>
<idPurp>Localisation des stations limnimétriques du reseau de mesure de la DGO3</idPurp>
<idCredit>© SPW</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
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0zUfhjod/fCdFa1hIUSQQIoVgOODjIyOv59ea7ivNPH/AI01Tw/rENrbSC3QQiZMxoftBydwJcgBRgZAO75hU1vZqN5q6FU5FG8kekqiooVQAFGAB2FcB43vdag1iBLSa/htvIBhNpEX3zbmyGwDnAC4B4OTXSeFPEMXijw3a6vHGYvOBDoedrKSrD8waxdK+IMGp6nHAdMuIbOeUxQXZdSGOcAleqgngH6VNfllBR5uW+z6k1eVxs3a5zGueG/FevvbyS26i+kjxKJXPkJuVScEZxgjGMc5PrWx4I8BXXh28u9W1CO0N86MIo7dmZEJJJIyBjOcYA6Z55rd1Dxcun380bwILW3cJLK8m0jpkgYxgZ7mmeJNdntfshsbqKK3nRn+1YV1YgjCgnjvn+VX7GHPz9R+yjzc3U4yz+ImoWmtWi32oJOks2y7s/IG63B9No3ZB4wck16bpOr2Ws2r3FlL5io/luCpVkbAOGB5BwQfoRXO+IrSbWPAb6j9k26nDB9qiCR5LOoJAx1II7defWuH+Gni822vjS7u4huv7XfeJY12+TKE+VG7cqvTqD65rCm6lKoqcndO+r3v+VjOLnTmoSd0+vU7bxr4f1HVruzubS3jvI40eNreRwoUkghxnjtg9/Suh8P6fNpegWVjcyiWeGJUdwSRkdgTzgdBn0rVpOMV0RpRjNzW7NlTipOS3ZT1WG6uNIvYLGbybuS3dIJT/A5UhW/A4NeX+Cjqlr4uit006a1VYmhvo5DnceCHyD2wcMeu73rvrLxRZ32oi0SGdA5IilcDZIR6c5HQ4yBV/UdWtNLRGunYFzhFRCzNjrwKJ0oynGT3X6hKmpSUn0POfiFqFvdeJNPgh23Rg3W8sMnyxpI+0g7jxnsfTNauhfDSxsbeBr6ad5DIZ57aN/3BctuA5GSo4HUA7eRzisTxF4EvPEGuzanpMsUlhqJRy7EK0Drweo3AZGcLznI4616wilUUE7iAAT61zwoqVWU5x7W+RjGkpTlKaJaKKK7TpCiiigAooooAKKKKACiiigAooooAKpXumWOpBBe2sU/lnK+YucetXaKAGhQqhVAAAwAO1OoooA47SPCs+malaSzXMZgtNwiIBDyZUqN34HJ9TWl4m1K502yha2dYzLJsaVlyEGCe/GTjHNeRePINavPFt4l9Be3VvEpkhj37YIUDHLckKMpjn7wIr03wXrdne+H7DSrnUUutThtkS4SVWV3YLycOAWHB5xzg1jGsnNxtb16mcal5ONrFmx12dfCd5q93EZ2s45ZP3S489UUt8o9TjH1FePz+ItT1nxEJNSudOSHUF+zpMeFhVXK525+YZkPUjOM17D40sb+/8KXNrpqF5WKboUfYZYww3oDxjK5FeN6l4K1LSNmsx6amnWcsixNHM3+pIDHzCF3KoJwOR19M1y428rR5brd9nbz6GGJu/dtdbs9D8XeIYNC0a30Oxkup2tkhW6ki5KQBe7f3iADxzg54yKdpdxqeieHJZk82CCe4UW63akmBNvJwTwCRwDVHwt4Oi1nQIZ7u6uVUjyHKABbqNAEV8EErlQFyOoUV6YyR+UUZVKYwQemK6aE5yu5JcvTvbzNqcpyu3t0/4Jy8N9f6v4P1HKLcTgNErJHxKuBnC9CcEj0JFQeCrV4bi8kEc/lFEUSTht2RnIGecdM1r6T4o0bVLxrCxuQ0qKWVPLZAyg4JQkAMBkcj1rdrZSUldGiaeqK17e2+n2c13dyLFBCpd3booFeP+KfEkHjS703+zLXaLW+EEU8kmyTdIfLwUKHaC23r6dq7fxVrnh26aXwxe6tHb3s/lsoUFvKYMGQtjgfMBwSOPrVPRfCGi+HdX+36rfWs2qzspiyfKQYyAVQsct8x+Y+vGK5a8Z1XyRty9f8AIxqqU3yrbr/kbPgvw/N4b0I2lxIjSSTvMVRiypuxwCevTJPHJNFv4N0i01QXsUUoKSGVIfMPlo5Ochfqc+grpK4jxl4vvdA1EW9r9jRI7cXEslyGIYFmAUYIx93k89RxV1PZU4Jz2VrdfJFT5IRTlsiv8StAM+i/2nYQK1zbzpJMuCfMT7pYjoSuQ2SD92qHwq1EP/ammS3EM0ayLcQKHVj8wO8DAAOCFJIHV639O8eaXrNjFIkdwsU6KsrYH7lmAyp78Z64rnNMtdP8KeJLWHUNYgeO0TbF5Nu/AYbVMrDKpx/jwKxqpxqxqx2ej16dDOd1UjUW2zPUzzXk+pfD3UofE81xpiottNP9ojkVQHiYsGILFuF3jPC5IwK9YorqnCM7XW2pvKCluFcj4u8Wv4ent7aGGFpJI2laS4kKIqggY46kk/hXXVwXxT0OTWfDUHkWpne3uVkYpGWdUwc42/Ng8Zxz37VNbm5HyOz9Lk1ObkfLuX/CdtpGq2Vrrlk0h8wFlhModYW6EDA7c4z2rO+JN81iunSR/u5CZB5pXcMYztx3JIGP/r074YaZe6dot215FLEJ58wpIrKQgUAcNhux5IBP5VoeM9Wtbezj0640wX73asfKeTy1VRgFt2CQckYwM/Sl7Xlpc89NOovaWp80tDJ8PeNbPTNFW11K3mt7yLkRqBIbgsTymO/UkHp645rbl8a6Wmkw38S3ExllMIt1QLIHAywIYgDA5znHIxnIrmJ/CVrrHgybUdEF4NVKE27zyhnjZdylB/DjlvqcHPArmfCPw6v9QvXmuYdS020ELiRp22yPOeCQpzlcdyPp3rnjPEWS0ba3V7XMVOtZLRtr5XN+L4j3eqa2X02aP7Ml0lutg0Y8yQEqGJPXOScEccd69VrzPwx4Yi8I61BPq2oWELRRSRwBZPnmLsuXbIG0fKOORz14preMtR/4Sw2gv0GL/wCzCw2Lym/bnP3unzbs4op1Z0lete8nZLe33dBwnKCvUvq/uPUKKKK7zqCiiigAooooAKKKKACiiigAooooAKr3aTSWU6W7iOdo2EbnorY4P51YooA8oh8Eapqdw8F1bm0iJzJdSSb3JyCMDncRjGScYP4Vs6b4Du7TXk1C41CKZEMZUxxlGwhLAYyepPJz04xXeUtZOnBzU2tVsyHCLkpNaoWkIBGCMilorUsgnlFvbSS7SwjQttXqcDOBXNaR4gn1a7+x3UMIjuYWZTETlRgcE9+D14rqh0FcH4o1X/hHNRt4dJgsLNrhHkluZIhglSPkGCPXJrOrUjSg5S2InOMIty2RxD6BqfhvxYhQtM1lcCeG4yEVoM8K7Zz9wFMAY7132pfEGz0+88lrOZ4IkRrqXeF8ncgfG08sQrAn2PfpWvpi2/iHRrDUtQ06L7RJCHw6Zxn0z2PUZ9a5Lxx4Fn1vxCuoW+nx3SzQLFIpm8sK6k/M3qMFRkZPyjiuaUJUqbdFbu9v8tjGUXCF6fc868TaBqMvivWYIfszW91qikzOP38TF1wBn1yMAdQfevZdY8M3N/ftPBcQ7JkWOTzQcrgYyMdfpxzXHeITq2ma7bbmzf2dpCltcLaI7XsgT5iWKk8tkbQRgc969YV/3aGTCMwGQT39KrDv3px8+1h0fikvPsEUYiiSPJO1QuT1OKwfF3h+x13SH+2GGJ7ciWO4ljDiPac8+xxyK5rxi3iIa7P/AGedQz5S/YBag7C+Od38Od3XfxjHvXd3dp9v0yS0uG2mWPa7J2PqM+9XGaqOUHF6aa9fQ0UlNuLWx5xF4Ph1TRdVSx1VpNVlVW2iMwx8cKMEE4OCM57+1chfeGtW0y+jihtW023vonilWbDBioGdoVuuO59T1r2bRtCOlzyzyXPnSuoQYTaFXOemTyf6Vo32m2WpwCC9tYriMNuCyLnB9RWVbBxlBRhpZWXVfNGVTDxlFKOltuxg+Abye88MrJcnJWeWJPmLYCMV4J5IyGx6DjtXRXt3FYWFxeTkiG3iaVyBk7VBJ/QVyNhr1xDrMenQW9vDaJcG1S0SPDIoJG7r6DPTGPzrqdU+xPplzFqEscVrLG0UrSOEG1hgjJ6da6opqKT3OhXS1OV8KePD4l1M2E2nPaNJAbiBtxbcgIBzlQM/MOmRWz4s1G80rw9cXliuZkKZcruEaFgGfHfAyf58Vj+EvAtpoF8NRi1Brz9wYYGxwEJBznJBJ2jpge1dqRkVnTVR07TeupnBTcLT3OQ8Da1e61bXZubpb2CJ1EV0qqA+Qdy/KApxxyPWtrV/D+na7HGt/Cz+WSUeORo3XPXDKQcH0rUChRhQAPQClqo07QUZO/qVGFo8sncr2Nlb6fZxWlrEsUES7UQdv8frXL6x4mvrLWZreIQ7IWULAy5abIHQ57k4HHUV2VQtBDJKszRRtIn3XKgkfQ1qWc9rfhy41K/+029xEgkjEciyoWwBnkevXoaW38IWNrdwzCecxxFWERIwWHfOM4zzjPWulzXnHxM1Ge1k02KNLm5R1kZra2faxIK4c8jIGSOvU9PTKtUVOHM1exFSfLFy7Ho4OaWuY8D3k194Ts55pHdyXU+YcuuHICse5AAB+nU10wqoy5oqXcqLuri0UUVYwooooAKKKKACiiigAooooAKKKKACiiigAooooAq3scs1lcRQS+VM8bLHJ/dYjg/ga878JeFZIdaZ7zT7RII0K3Cl0m8+TI2sQM8g5O5sHn3NeiXcTzWk8UUpikkjZVkHVSRgH8K8X8FPqeneOLO3MKRyrJLa3VspGdoz83HJA2htzdc8da48Ql7SDae/f9DnrW54tnuOKKTcM4yM+mayrbxHpN7qT6dbX8Ml5HnMQPJx1wehx3xnFdbaW5vc1eK4bxhod/f6kLqGxN/CsAWJBIq+S4JJOCR145HPFdldXMVpaTXU7bYoULufQAZNcbN8QEnkitbO0lt7mXLI12o2lB1ICt15HBx1qJVIxkot6vYTnFNJvVlDwd4j1i81i1s7q8N2skDG4TygDbsoGDkdOflw2SSfY16RWVoF8dU0xbtoVikZ2RtnRirEZHscVrUqUJQjaTu+4oRcVZu5XubiC0gee5mjhhQZZ5GCqPqTXhmr+M9atPEmoXdrrJZLa7YrGjF4JIM5XBzszsIAGCd1eteK9Em1zSo4beVUnhmWeNZc7HIBG1sduc55wQD2rmX+H9ydF3NHp8mqi8+07SPkA2bNgcrnp82cde3eufEe2crQWi1vfd9rGNb2jdoLbX59inqHxY0iz2LHZiXVXgjDXIjBhjdwMbnznaMgnHTp1rkfEOv6rqmr2q6g1tqlpACzRJFsiiL8B2+8MjB5J6Maoa/4Y1TTtY1G3lvrOyjlSO4ngI3Iwx2YgEj5eenJP46uvaYNMKWlmG06M6ZB/ozxgvdsUIPvuzhDjnIz3rjr1qk4u7taya16+aXTyOerUnJO+lrJr18ztbG01Pwf4UsLDz0gEk0sjNFh1hUncsakjGOeuO3Fdl4fu7m+0aC4uv8AWsWG7bt3gEgNj3GDV6BF+yxJ5YjAQDYedvHT8KmJr14pKKSPQSsrDM9h96sXXvEcGgm3ja3muJ59xSKLAwFxkkkgAcgfjXNaT401G+8Q28Esdr9lubh4FgRT5sWN2CWzyRt5GBj8Oeo1rw/Z675DXDzRTQZ8uWFsMAcZHIIIOB1HasPaurCToPVaa7XMvac8G6b1217nH638Vra103zNLsZ3uHcxq92myJJADlTg5JyMccE96t+BPF2qa5qt7Yaj9kmMKeYLi0Qqq8rhSCT1Dcc/wtU3/CsdGdljkuLuSxEglNpIwZXbO75mI3EE84zXW2Wm2Wl24gsLS3tYh/BDGEH5CppLEOXNUaSV9F17Cgqrd5v5ItjmvNfiQWur+ytLceRdRRtMt1vKkITgoBgg52gknOOOK9KFUdQ0fTtVEf8AaFhbXflnKefGH2n2zWteDqU3FOzflcupBzg4p2M/wbDaReEtNaxikjgmhE2JX3OWf5iSe5JJ5rfpqqqKFUAKBgADgU7tWkVZWLSshaKKKoYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAN96YI0DlwihiMFscn8arajFcTaXdRWknl3LxMsT/AN1iOD+dcX4J0rWLTV5pri0urK2EJSVLiYP5shIwQAxzjB+bjOe/bGc3GcYqLd+vYiUmpKNt/wAC5eaFqkvidp0UlWuElS63j92gxlcZz0BGMYP51Vg8E3mmXYvobuO4Wx8ya0hEe15JNjBVds4x83Yc139JTqUoTacldrYJU4yabWx5z4T1DVtY1G4sdRnuryzktnF2lxAIxE5wNowoxkFvlyen56ul/D7TrDVDe3FxcahsQxwR3W1liU9eg5PA5PNdl9KTpU0qKilzO7V9XvqTCkopc2rXVkSiK1gwoWOKNeABgKBXN2XjOy1Yz2+nwT/azA8tqJkCrcYH8PP04ODiumeNZI2R1BVgQQehFc3ongyx0TURdxXN1OyApbpOylYFPULgAnjjJJOPxpz9rzR5LW6lS5+Zcu3Uq+F9VvrzVprae7kuFWMtKJECmJ8jAwAMZ549q2PE99eaX4du72wi8yeNVI43bQWAZ8d9qktjviuPsfBurw+LobtxCiQ3bXD34cF5kJJ2Y65IIBzwAOO1aHizxnNpv9pWVnp63LW9u3mPJJtG4pkALjnAIJ5HXFZuv7jdT3dbf5MzdW0W56dCDwZrsfiG+uLe/ubXU3gVJLa5aFM5JO9QVAHy/IeOfmrvHijdlZ40ZkOVJUEj6V4ZZaNf6tdqbazuNato4QD5pRBE5PbdtHI69SMe9eoQ61ZeF9MsNP1q+/0xLdfMKo8nHTcSAcDgjJx0rLC1vd9+9l1elyKFS8fevZdX1OorhPiFfzz6NJpmk3Un29n2vFCxVzlThQw77ipxnJHr0ruEkWSNXRgyMAVYHIIPeubn8J+fqzXJusW7XAuGj2fNuBDYznpkV2yjzRaOmSurHJ/DXw5qGna/qV9Lp01pZyx4X7ZzK7nbyCSTj7+eecr6cepdKWiopwUI8qdxQgoRsjm7/wAVLY6k9qLNpIYSFml3gFSQDwuOcAjuK6QYIyO9ZlzoOm3l59rntt02QThyA2OmQDg/jWpWpQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHHjxxb/20LFrOUW5uvsgud4/1m7YPl643cZ/TFaeo+FtJ1S9+2XlrvlICvh2VZAOgZQcN+P0oorhwlR14y9or2Zz0ZOonzG3twMCuU8ReD21vUlvYdRa1ZohDOPKD70BJG3kbW+Y8nI9qKK650oVI8slobyhGa5ZLQ6SytIbCxt7OBdsNvEsUak5wqjA/QVZooqxmH4i1WfSrWE2yR+dNJ5avKCUXgnkAjJ44Gam0LU5NV0wXMyKkiu0b7fusR3Ge3/16KKANRWV13KQQehBp1FFABRRRQAUUUUAFFFFABRRRQB//9k=</Data>
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