Folders: ROOT > ScienceBase Catalog > USGS Data Release Products > Channel width measurements for selected streamgage sites in Montana ( Show all descendants )
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The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field at 69 streamgage sites. Chase, K.J., Sando, R., Armstrong, D.W., and McCarthy, P., 2021, Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 (ver. 1.1, September 2021): U.S. Geological Survey Scientific Investigations Report 2020–5142, 49 p., https://doi.org/10.3133/sir20205142.
The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured from aerial photographs at 517 streamgage sites. Chase, K.J., Sando, R., Armstrong, D.W., and McCarthy, P., 2021, Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 (ver. 1.1, September 2021): U.S. Geological Survey Scientific Investigations Report 2020–5142, 49 p., https://doi.org/10.3133/sir20205142.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Montana,
geomorphology,
water resources
The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field and from aerial imagery. Chase, K.J., Sando, R., Armstrong, D.W., and McCarthy, P., 2021, Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 (ver. 1.1, September 2021): U.S. Geological Survey Scientific Investigations Report 2020–5142, 49 p., https://doi.org/10.3133/sir20205142.
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