Storm Detention Pond

The City's Water and Drainage Division operates and maintains current infrastructure to ensure required service levels are provided. It also oversees the planning, design and construction of the citywide drainage system. Data will include active, inactive, and abandoned features.  Dataset updated continuously. Click the Download button to access the entire Storm dataset. This dataset is an update to the City's historic stormwater pond point feature class. Points have been converted to polygons, important existing fields have been maintained, and new design- and operation-related fields have been developed. In addition to the Stormwater Pond polygons, a supporting pond catchment area feature class has been developed along with a stormwater pond berm layer. These GIS features were developed based on the Stormwater Pond Pre-condition Assessment Data Population by Logan Pike in 2022 and the Stormwater Pond Asset Renewal Program Study by AECOM in 2025. More details on the methodology and source for the final GIS deliverables can be found in AECOM’s report. This data will be the subject of continual improvement based on field investigations and additional analysis from Wastewater Operations and Utility Planning. It is a living dataset.

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Additional Info

Field Value
Last Updated June 16, 2026, 20:26 (UTC)
Created June 16, 2026, 20:26 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Storm Detention Pond
Description
A description of the dataset.

The City's Water and Drainage Division operates and maintains current infrastructure to ensure required service levels are provided. It also oversees the planning, design and construction of the citywide drainage system. Data will include active, inactive, and abandoned features.  Dataset updated continuously. Click the Download button to access the entire Storm dataset. This dataset is an update to the City's historic stormwater pond point feature class. Points have been converted to polygons, important existing fields have been maintained, and new design- and operation-related fields have been developed. In addition to the Stormwater Pond polygons, a supporting pond catchment area feature class has been developed along with a stormwater pond berm layer. These GIS features were developed based on the Stormwater Pond Pre-condition Assessment Data Population by Logan Pike in 2022 and the Stormwater Pond Asset Renewal Program Study by AECOM in 2025. More details on the methodology and source for the final GIS deliverables can be found in AECOM’s report. This data will be the subject of continual improvement based on field investigations and additional analysis from Wastewater Operations and Utility Planning. It is a living dataset.
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
0.1
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
d9e820d8001248ebac7c0f4619991df2
Published Date
Published date of the dataset.
2026-06-04
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
public
License
License used to access the dataset.
License not specified
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://opendata.kelowna.ca/datasets/kelowna::storm-detention-pond
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
CityofKelowna_GIS
Contact Point
Who to contact regarding access?
City of Kelowna
Contact Point Email
The email to contact regarding access?
[email protected]
Publisher
Publisher of the dataset.
City of Kelowna
Publisher Email
Email of the publisher.
Author
Author of the dataset.
CityofKelowna_GIS
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2026-06-04
Field Value
Identifier
Unique identifier for the dataset.
d9e820d8001248ebac7c0f4619991df2
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://opendata.kelowna.ca/datasets/kelowna::storm-detention-pond
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
City of Kelowna
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
86
Number of data columns
If tabular dataset, total number of unique columns.
31
Number of data cells
If tabular dataset, total number of cells with data.
2666
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

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