High and low groundwater levelsHautes et basses eaux des nappes souterraines
Hautes et basses eaux des nappes souterrainesHigh and low groundwater levels
This API provides access to a dataset of point features representing measured depths for high and low water levels of underground aquifers across the territory of Bordeaux Métropole, France. The dataset aggregates information from various sources cataloguing the monitoring structures (wells or boreholes) used to record these groundwater level measurements. It is published as open data by Bordeaux Métropole and can be used for hydrogeological studies, water resource management, and monitoring of groundwater fluctuations within the metropolitan area.Dictionnaire Public Ce jeu de données représente, sous la forme d'objets ponctuels, les profondeurs mesurées pour les hautes et basses eaux des nappes souterraines sur le territoire de Bordeaux Métropole. Ce jeu de données résulte de l'agrégat de différentes sources qui répertorient les ouvrages...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (15 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude/longitude) of the measurement point.Geographic coordinates (latitude/longitude) of the measurement point. |
| — | geo_shapeShape | geo_shape | Geometric shape of the measurement point in GeoJSON format.Geometric shape of the measurement point in GeoJSON format. |
| — | gid | int | Primary key identifying the record.Clé primaire |
| — | ident | text | Identifier of the point in its source (e.g. building permit or borehole ID).Identifiant du point dans la source (n° de permis de construire, ou identifiant banque du sous-sol par exemple) |
| — | profondeur_nappeProfondeur nappe | double | Measured depth of the groundwater table.Profondeur mesurée de la nappe |
| — | mois_mesureMois mesure | text | Month in which the measurement was taken (1-12).Mois de réalisation de la mesure : Liste des valeurs possibles : 1 : Janvier 2 : Février 3 : Mars 4 : Avril 5 : Mai 6 : Juin 7 : Juillet 8 : Août 9 : Septembre 10 : Octobre 11 : Novembre 12 : Décembre |
| — | source | text | Origin or producer of the data.Origine de la donnée / producteur |
| — | situation_hydroSituation hydro | text | Hydrological condition at measurement: high water (HE) or low water (BE).Situation hydrologique associée à la mesure : Liste des valeurs possibles : HE : Hautes eaux BE : Basses eaux |
| — | z_solZ sol | double | Ground elevation in meters NGF, from the 2016 digital terrain model.Altitude du sol selon le MNT de 2016 en mètres NGF |
| — | z_piezoZ piezo | double | Estimated piezometric water level elevation in meters NGF.Altitude estimée du niveau piézométrique en mètres NGF |
| 100% | zns_heZns he | double | Estimated thickness of the unsaturated zone during high water, in meters.Epaisseur estimée de la zone non saturée en hautes eaux en mètres |
| 100% | cdate | datetime | Date and time the record was created.Date de création |
| 100% | mdate | datetime | Date and time the record was last modified.Date de modification |
| 100% | geom_oGeom o | text | Orientation code of the point geometry.Orientation du point |
| 0% | geom_errGeom err | text | Error code indicating a geometric issue with the feature.Code d'erreur géométrique : Liste des valeurs possibles : 9999 : Polygone compose et / ou à sections multiples 9998 : Linéaire compose et / ou à sections multiples 9996 : La géométrie contient des informations LRS 9995 : Nombre de dimensions différent de 2 ou 3 9994 : Présence d'un arc de cercle 9000 : Erreur autre 13343 : Polygone de moins de 4 points 13349 : Polygone papillon 13350 : Deux éléments d'un polygone archipel se touchent 13351 : Deux éléments d'un polygone archipel se touchent 13356 : Point double 13366 : Combinaison invalide d'intérieur / extérieur d'un polygone 13367 : Orientation invalide d'intérieur / extérieur d'un polygone |
Schema captured from opendatasoft 3 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1gid: 67282 · cdate: 2025-02-10T09:49:34+00:00
{
"gid": 67282,
"cdate": "2025-02-10T09:49:34+00:00",
"ident": "BSS001YCEJ",
"mdate": "2025-02-10T09:49:34+00:00",
"z_sol": 16.1,
"geom_o": "0",
"source": "BSS",
"zns_he": 1.73,
"z_piezo": 14.37,
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.7153311,
44.8885444
]
},
"properties": {}
},
"mois_mesure": "3",
"geo_point_2d": {
"lat": 44.8885444,
"lon": -0.7153311
},
"situation_hydro": "HE",
"profondeur_nappe": 1.73
}Record 2gid: 68054 · cdate: 2025-02-10T09:49:34+00:00
{
"gid": 68054,
"cdate": "2025-02-10T09:49:34+00:00",
"ident": "PA03319220Z0001",
"mdate": "2025-02-10T09:49:34+00:00",
"z_sol": 31.95,
"geom_o": "0",
"source": "dossier perméabilitéCERAG",
"zns_he": 0.8,
"z_piezo": 31.15,
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.6393762,
44.7643401
]
},
"properties": {}
},
"mois_mesure": "1",
"geo_point_2d": {
"lat": 44.7643401,
"lon": -0.6393762
},
"situation_hydro": "HE",
"profondeur_nappe": 0.8
}Record 3gid: 68189 · cdate: 2025-02-10T09:49:34+00:00
{
"gid": 68189,
"cdate": "2025-02-10T09:49:34+00:00",
"ident": "9 rue Daniel Delaube-T1",
"mdate": "2025-02-10T09:49:34+00:00",
"z_sol": 9.02,
"geom_o": "0",
"source": "chroniques piézométriques BM",
"zns_he": 2.0097,
"z_piezo": 7.01,
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.6116245,
44.9534355
]
},
"properties": {}
},
"mois_mesure": "1",
"geo_point_2d": {
"lat": 44.9534355,
"lon": -0.6116245
},
"situation_hydro": "HE",
"profondeur_nappe": 2.0097
}Record 4gid: 68488 · cdate: 2025-02-10T09:49:35+00:00
{
"gid": 68488,
"cdate": "2025-02-10T09:49:35+00:00",
"ident": "BSS001YAMV",
"mdate": "2025-02-10T09:49:35+00:00",
"z_sol": 15.25,
"geom_o": "0",
"source": "BSS",
"zns_he": 0,
"z_piezo": 8.95,
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.695226,
44.8911083
]
},
"properties": {}
},
"mois_mesure": "10",
"geo_point_2d": {
"lat": 44.8911083,
"lon": -0.695226
},
"situation_hydro": "BE",
"profondeur_nappe": 6.3
}Record 5gid: 68936 · cdate: 2025-02-10T09:49:35+00:00
{
"gid": 68936,
"cdate": "2025-02-10T09:49:35+00:00",
"ident": "PC03306317Z0766",
"mdate": "2025-02-10T09:49:35+00:00",
"z_sol": 4.45,
"geom_o": "0",
"source": "dossier perméabilitéSCI DEAU",
"zns_he": 0,
"z_piezo": 1.45,
"geom_err": null,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-0.5583787,
44.8467313
]
},
"properties": {}
},
"mois_mesure": "6",
"geo_point_2d": {
"lat": 44.8467313,
"lon": -0.5583787
},
"situation_hydro": "BE",
"profondeur_nappe": 3
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/en_he_be_ep_p
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://opendata.bordeaux-metropole.fr/api/explore/v2.1/catalog/datasets/en_he_be_ep_p/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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