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Updating and Optimizing Catskill Mountain Bankfull Discharge and Hydraulic
Geometry Regional Relationships
Sarah Hinshaw, Stream Geomorphology Research Assistant, NYCDEP1
Amanda Cabanillas, Watershed Conservation Corps, SUNY New Paltz
Danyelle Davis, Stream Studies Coordinator, NYCDEP
Regionalized regression relationships (regional curves) that predict bankfull discharge (Qbf) and
associated channel dimensions as a function of drainage area are widely used in stream
diagnostic assessments, flow modeling, channel design, and classification. In 1999, the
NYCDEP Stream Management Program initiated the development of Qbf and bankfull hydraulic
geometry (HGbf) regional curves for the Catskill Mountain region based on surveys at 18 USGS
stream gage reaches. This first set of curves was stratified by mean annual runoff (MAR) and
hydrologic region (Miller & Davis 2003). Our study further develops the existing curves and
evaluates the necessity of periodic regional curve revision by adding new USGS gage study
reaches to the previously existing data set. New site eligibility requires a minimum 10-year
period of record to verify field-identified bankfull stage with Log Pearson III flood frequency
analysis. Qbf calibration surveys were completed at 6 eligible gages in 2016. An additional site
used for model validation of the previous study was also added, producing a new total sample
size of 25. Flood frequency analyses were conducted for all gages in the complete dataset to
examine whether inclusion of additional records from the most recent decade alters annual
exceedance probability curves, and also to test the sensitivity of annual exceedance
probabilities associated with field-identified bankfull discharges to the use of different lengths or
subsets of the period of record. We present preliminary results of incorporating new study sites
and test regression relationship optimization by considering co-variables including but not
limited to: previous and updated hydrologic regions (Lumia, 1991; Lumia et al, 2006), MAR,
mean basin slope, and mean annual precipitation.
1
71 Smith Avenue. Kingston, NY 12401 | (828) 674-9141 | sarah.k.hinshaw@gmail.com

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Hinshaw Davis Updating Catskill Mountain Regional Curves

  • 1. Updating and Optimizing Catskill Mountain Bankfull Discharge and Hydraulic Geometry Regional Relationships Sarah Hinshaw, Stream Geomorphology Research Assistant, NYCDEP1 Amanda Cabanillas, Watershed Conservation Corps, SUNY New Paltz Danyelle Davis, Stream Studies Coordinator, NYCDEP Regionalized regression relationships (regional curves) that predict bankfull discharge (Qbf) and associated channel dimensions as a function of drainage area are widely used in stream diagnostic assessments, flow modeling, channel design, and classification. In 1999, the NYCDEP Stream Management Program initiated the development of Qbf and bankfull hydraulic geometry (HGbf) regional curves for the Catskill Mountain region based on surveys at 18 USGS stream gage reaches. This first set of curves was stratified by mean annual runoff (MAR) and hydrologic region (Miller & Davis 2003). Our study further develops the existing curves and evaluates the necessity of periodic regional curve revision by adding new USGS gage study reaches to the previously existing data set. New site eligibility requires a minimum 10-year period of record to verify field-identified bankfull stage with Log Pearson III flood frequency analysis. Qbf calibration surveys were completed at 6 eligible gages in 2016. An additional site used for model validation of the previous study was also added, producing a new total sample size of 25. Flood frequency analyses were conducted for all gages in the complete dataset to examine whether inclusion of additional records from the most recent decade alters annual exceedance probability curves, and also to test the sensitivity of annual exceedance probabilities associated with field-identified bankfull discharges to the use of different lengths or subsets of the period of record. We present preliminary results of incorporating new study sites and test regression relationship optimization by considering co-variables including but not limited to: previous and updated hydrologic regions (Lumia, 1991; Lumia et al, 2006), MAR, mean basin slope, and mean annual precipitation. 1 71 Smith Avenue. Kingston, NY 12401 | (828) 674-9141 | sarah.k.hinshaw@gmail.com