Risk of Muddy Water Runoff (Flash Flooding)Risque de coulées d'eaux boueuses
Risque de coulées d'eaux boueusesRisk of Muddy Water Runoff (Flash Flooding)
This dataset from the Eurométropole de Strasbourg, the local authority responsible for Aquatic Environment Management and Flood Prevention (GEMAPI), covers the risk of muddy water runoff and flash flooding linked to stormwater and surface water management. It reflects the additional competence defined by Article L.211-7 of the French Environmental Code regarding control of rainwater and runoff, including actions to slow flows and limit erosion. The data is published as open data via the Strasbourg data portal and can support local flood-risk assessment, land-use planning, and environmental monitoring within the Strasbourg metropolitan area.L’Eurométropole de Strasbourg s’est dotée de la compétence Gestion des Milieux Aquatiques et Prévention des Inondations (GEMAPI) ainsi que la compétence complémentaire définie par l’alinéa 4 de l’article L.211-7 du Code de l’Environnement : « la maîtrise des eaux pluviales et de ruissellement ou...
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Data schema (6 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates (latitude, longitude) of the zone centroid.Geographic coordinates (latitude, longitude) of the zone centroid. |
| geo_shapeShape | geo_shape | Geometric shape of the muddy water flood risk zone.Geometric shape of the muddy water flood risk zone. |
| id_cebId ceb | text | Unique identifier of the muddy water flood zone (CEB).Unique identifier of the muddy water flood zone (CEB). |
| categorie_aleaCategorie alea | text | Hazard category code assigned to the zone.Hazard category code assigned to the zone. |
| niveau_aleaNiveau alea | text | Hazard level of the muddy water flood risk in the zone.Hazard level of the muddy water flood risk in the zone. |
| zone_reglement_pluiZone reglement plui | text | PLUi zoning regulation classification applied to the area.PLUi zoning regulation classification applied to the area. |
Schema captured from opendatasoft 2 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 1id_ceb: 169 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
"id_ceb": "169",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.611347808603758,
48.58236439725532
],
[
7.611364623924796,
48.582201979934794
],
[
7.611381679187931,
48.582039363873754
],
[
7.611391151612533,
48.581964303488526
],
[
7.611358338684372,
48.58196557637351
],
[
7.611347982391584,
48.5819670803633
],
[
7.611338833436417,
48.58197063411864
],
[
7.611331787381705,
48.58197588977355
],
[
7.611327533944545,
48.58198233286835
],
[
7.611326489481887,
48.581989332708304
],
[
7.611352207020561,
48.58228118823765
],
[
7.611318362270453,
48.5822825011297
],
[
7.61130800591236,
48.582284005115866
],
[
7.611298856897801,
48.582287558867726
],
[
7.611291810795431,
48.582292814519704
],
[
7.611287557327007,
48.582299257612334
],
[
7.611286512852534,
48.58230625745115
],
[
7.611314208047966,
48.582620557030616
],
[
7.611316474826771,
48.582627428421326
],
[
7.611321305064901,
48.582632902711694
],
[
7.611331155589137,
48.582521844102985
],
[
7.611347808603758,
48.58236439725532
]
]
]
]
},
"properties": {}
},
"niveau_alea": "fort",
"geo_point_2d": {
"lat": 48.58226007935121,
"lon": 7.611336336244146
},
"categorie_alea": "2",
"zone_reglement_plui": "jaune"
}Record 2id_ceb: 246 · geo_shape: [large value omitted]
{
"id_ceb": "246",
"geo_shape": "[large value omitted]",
"niveau_alea": "fort",
"geo_point_2d": {
"lat": 48.587227913543586,
"lon": 7.644487087131118
},
"categorie_alea": "2",
"zone_reglement_plui": "jaune"
}Record 3id_ceb: 28 · geo_shape: [large value omitted]
{
"id_ceb": "28",
"geo_shape": "[large value omitted]",
"niveau_alea": "moyen",
"geo_point_2d": {
"lat": 48.5813592496921,
"lon": 7.604870133240597
},
"categorie_alea": "3",
"zone_reglement_plui": "bleu"
}Record 4id_ceb: 100 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
"id_ceb": "100",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.705553337255211,
48.63795021321103
],
[
7.705553245991014,
48.637949938432875
],
[
7.705553031076084,
48.63794969579458
],
[
7.705552713547799,
48.6379495090473
],
[
7.705552324488036,
48.63794939647112
],
[
7.705551901980675,
48.63794936908582
],
[
7.705532380624055,
48.637950141001006
],
[
7.705565473825871,
48.63808503075268
],
[
7.705553337255211,
48.63795021321103
]
]
]
]
},
"properties": {}
},
"niveau_alea": "moyen",
"geo_point_2d": {
"lat": 48.637994837938145,
"lon": 7.705550369791877
},
"categorie_alea": "3",
"zone_reglement_plui": "bleu"
}Record 5id_ceb: 168 · geo_shape: {"type":"Feature","geometry":{"type":"Mu
{
"id_ceb": "168",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
7.611428326934822,
48.58168093955668
],
[
7.611354722701268,
48.58153914251053
],
[
7.611391761147613,
48.581959473467485
],
[
7.611401715580657,
48.581880593346504
],
[
7.611428326934822,
48.58168093955668
]
]
]
]
},
"properties": {}
},
"niveau_alea": "fort",
"geo_point_2d": {
"lat": 48.58172602155047,
"lon": 7.611391535199266
},
"categorie_alea": "2",
"zone_reglement_plui": "jaune"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/coulees-eaux-boueuses
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/coulees-eaux-boueuses/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.
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License
No license declared upstream.
Source: opendatasoft
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