20220206
18191300
1.0
TRUE
Map
For the Elbow River Reservoir Project, once the initial area was established, several buffer analyses were executed to further refine and restrict the area for a proposed reservoir site, which should be:<div><ul><li>Away from urban area - 3Km buffers were created around the cities of Calgary and Cochrane, and the Tsuu T'ina and Stoney-Nakoda nations.</li><li>Away from key wildlife & biodiversity zones - 500m buffers were created.</li><li>Within enough distance from the Elbow River - a 9Km buffer was created.</li></ul></div><div>The restricted area was digitized manually. Further analyses call this the "Final Study Area" and apply the rest of the location criteria within it to arrive at a proposed reservoir site.</div>
Flood Mitigation
Off-Stream River Reservoir
Elbow River
Story Map
GEOS450
ERRP = "Elbow River Reservoir Project". This layer shows the restricted study area, obtained by applying buffer analyses within the initial study area. The proposed reservoir location should be selected within this restricted study area.
Cartographer: Gerardo Pirela, Data Source: Government of Alberta Open Data Portal: m https://open.alberta.ca/opendata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