Jason L. Fischer Jesse T. McCarter 20241112 model archive The steady-state flow model was developed to assess the availability of suitable Lake Sturgeon (Acipenser fulvescens) spawning habitat and age-0 Lake Sturgeon habitat in the Cuyahoga River, OH. A one-dimensional model was developed with the Hydrologic Engineering Center’s River Analysis System (HEC-RAS) 6.3.1 software to simulate flows at three discharges, representing the 25th, 50th, and 75th percentile of spring discharge (April-June) over an 11 to 34 year period, depending on availability of data at USGS gaging stations. The upstream extent of the model domain was just downriver of the confluence of the Little Cuyahoga River at river kilometer (rkm) 70.919. The upper extent was chosen to avoid unaccounted flow inputs between the upstream extent of the model and the upstream most gaging station, U.S. Geological Survey (USGS) gage 04206000 in Old Portage, OH. The lower domain of the model was in the mouth of the Cuyahoga River at Lake Erie (rkm 0), approximately 7.5 kilometers from the National Oceanic and Atmospheric Administration (NOAA) tidal gage 9063063. The model domain included four USGS gaging stations: 04206000, 04206425 (Jaite, OH), 04208000 (Independence, OH), and 04208504 (Newburgh Heights, OH), which were used to determine the percentiles of spring discharge and to calibrate the model to the three discharges considered. Known water surface elevations (KWSE) were utilized for the upstream and downstream reach boundary conditions for the steady-state flow analysis. For the downstream KWSE, daily mean water surface elevations were calculated from the NOAA gage (9063063) in Cleveland Harbor for each profile with profiles corresponding to dates when bathymetric surveys occurred, the three flow percentiles (i.e., 25th, 50th, 75th), and mean flow. Upstream KWSE was calculated by adding the gage height to the gage elevation (i.e., bed elevation) from the most upstream USGS stream gage (04206000). This flow model was developed to support assessment of Lake Sturgeon (Acipenser fulvescens) habitat suitability in the Cuyahoga River, but can also support habitat suitability assessments for other taxa and provides information on water depths and velocities for the discharges used to calibrate the model. The HEC-RAS model of steady-state flow conditions in the Cuyahoga River was developed using bathymetry data collected by the U.S. Army Corps of Engineers in 2018 and 2020 and the U.S. Fish and Wildlife Service in 2022. Terrain data was obtained from digital elevation models of lidar data collected by the Ohio Statewide Imagery Program 2022. Complete None planned -81.7263 -81.5169 41.5068 41.0921 ISO 19115 Topic Category inlandWaters None Hydraulic Model Bathymetry USGS Thesaurus streamflow mathematical modeling surface water (non-marine) habitat suitability indices None Cuyahoga Ohio Lake Erie None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Jesse McCarter U.S. Fish and Wildlife Service Fish Biologist mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (734) 749-7817 jesse_mccarter@fws.gov Great Lakes Restoration Initiative This data set was produced using HEC-RAS version 6.3.1 on a Windows 10 operating system. U.S. Army Corps of Engineers 2018 publication U.S. Army Corps of Engineers 2020 vector digital data https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Ohio Statewide Imagery Program 2022 raster digital data https://gis1.oit.ohio.gov/geodatadownload/ HEC-RAS models for the three discharges simulated (25th, 50th, and 75th percentiles of spring discharge) were assessed for accuracy by comparing simulated water surface elevations (WSE) to mean known WSE (KWSE) at the four USGS gaging stations within the model domain. Root mean square error across the three discharges was 0.11 m and all differences between KWSE and WSE were less than 0.23 m, indicating simulated depths and water velocities were reliable. All data fell within expected ranges and locations. The data set is considered complete. Not applicable Not applicable U.S. Army Corps of Engineers 2018 publication Digital and/or Hardcopy 2018 USACE 2018 Bathymetry data for channel geometry U.S. Army Corps of Engineers 2020 vector digital data https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Digital and/or Hardcopy 2020 USACE 2020 Bathymetry data for channel geometry Ohio Statewide Imagery Program 2022 raster digital data https://gis1.oit.ohio.gov/geodatadownload/ Digital and/or Hardcopy 2022 OSIP 2022 Digital Elevation Model for Terrain Data Claude C. Leroy Stephen P. Robinson Mike J. Goldsmith 20081101 publication The Journal of the Acoustical Society of America vol. 124, issue 5 n/a Acoustical Society of America (ASA) ppg. 2774-2782 https://doi.org/10.1121/1.2988296 Digital and/or Hardcopy Hydrologic Engineering Center 20221006 software https://www.hec.usace.army.mil/software/hec-ras/download.aspx Digital and/or Hardcopy Hydrologic Engineering Center 2022 Bathymetry data was compiled for the Cuyahoga River from river kilometer (rkm) 0 at Lake Erie to rkm 68 near the confluence of the Little Cuyahoga River. Three data sources were used, the first was U.S. Army Corps of Engineers (USACE) data collected in 2018 (USACE 2018) from Brecksville, OH to Peninsula, OH (rkm 33-48), the second was USACE data collected from the navigation channel in 2020 from rkm 0-9 (USACE 2020), and the third was collected by the U.S. Fish and Wildlife Service (USFWS) in 2022 from rkm 9-33 and rkm 48-68. Bathymetry data collected on 26-28 April 2022 and 10-11 May 2022 by the USFWS was derived from water depths measured with a Sontek M9 acoustic Doppler current profiler (ADCP) and water surface elevations measured with a Trimble R12i GPS with real-time kinematic (RTK) level accuracy. Depth and water surface elevation (WSE) data were merged in real time through HYPACK 2021 and bed elevation was calculated as the difference between WSE and depth. Bed elevations were measured along cross-sections oriented perpendicular to the river channel and spaced every 250 m. Additional cross-sections were placed above and below bridges and areas of rapid elevation change (e.g., rapids), when possible. Compass calibrations and latency tests were conducted at the start of each day and every tenth cross-section to minimize inaccuracies from changes in local magnetic fields and data lags. Speed of sound in the water was calculated hourly from water temperature and salinity data collected with a YSI Pro DSS at the time of the USFWS surveys and used to correct water depth and bed elevation measurements post collection. However, equipment failure prevented water temperature and salinity data from being collected for the full duration of the 10 May 2022 surveys and water temperature data recorded at U.S. Geological Survey (USGS) gaging station 04208000 was used to supplement the missing temperature data. Missing salinity data was assumed to equal the mean of salinity recorded earlier in the day. Speed of sound in water was calculated following the methods of Leroy et al. (2008). Lastly, USFWS bathymetry data quality control and assurance (QAQC) was conducted to identity measurement errors. First bathymetry measurements were overlaid on aerial imagery in a geographic information system (GIS) to identify data points with inaccurate coordinate data. Points outside the river channel or not alongside sequentially adjacent data points were flagged as having inaccurate positional data. Next data points that had pitch and roll measurements above 30 degrees, had depths that deviated considerably from adjacent depths, or had bed elevations less than 0.2 m (the ADCP's minimum operating depth) were excluded from the final bathymetry data. The remaining bed elevations were then assessed for reliability by creating profile plots of WSE and flagging points that deviated considerably (about 0.5 m) from neighboring points as unreliable. WSE data that were considered reliable were then used to create LOESS models of WSE over the river course (observation ID served as a proxy to longitudinal position) for each survey day. An alpha of 0.03 was used to control the degree of smoothing for models corresponding to the 26 April, 27 April, and 11 May surveys and an alpha of 0.02 was used to control the degree of smoothing for the models corresponding to the 28 April and 10 May surveys, which had more frequent declines in WSE. The expected WSE from the LOESS models were compared to the measured WSE and instances with over 0.1 m of deviation were flagged as unreliable. All WSE flagged as unreliable were replaced with their expected WSE and bed elevations were recalculated for these points as the difference between the expected WSE and measured water depth. USACE 2018 USACE 2020 OSIP 2022 Leroy et al. 2008 20220825 Jason Fischer U.S. Fish and Wildlife Service mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (248) 891-3715 jason_fischer@fws.gov A triangulated irregular network (TIN) layer was constructed from the Ohio Statewide Imagery Program (OSIP I) digital elevation models for Cuyahoga and Summit Counties, representing the terrain elevation base layer (Ohio Statewide Imagery Program 2022). Bathymetry data (see step 1) were converted to a TIN and merged with the terrain elevation base layer, resulting in a terrain layer which contained both the ground elevation and measured bathymetry data. Geometric data (e.g., river flow path, bank lines, and cross-sections) were then created in RAS Mapper (Hydrologic Engineering Center 2022), with cross-sections approximately 250 meters apart and up- and downriver of any bridges spanning the river. Cross-section spacing was modified in instances where the cross-section did not align with the actual bathymetry data to ensure the cross-section passed through the bathymetric data. Bathymetric data was then extrapolated between cross-sections within HEC-RAS to eliminate high spots within the original terrain elevation base layer, ensuring water could freely flow through the digitized river channel. Blueprints provided by the Ohio Department of Transportation (ODOT), Cuyahoga County, Summit County, USACE, U.S. Geological Survey, and private entities were used to obtain measurements of bridges (e.g., deck height and width, pier/pylon width, and elevation), which were entered through the bridge editor in the Geometric Editor window of HEC-RAS. OSIP 2022 USACE 2018 USACE 2020 Hydrologic Engineering Center 2022 20230118 Jesse McCarter U.S. Fish and Wildlife Service Fish Biologist mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (734) 749-7817 jesse_mccarter@fws.gov One-dimensional steady-state flow simulations were conducted in HEC-RAS 6.3.1 for discharges corresponding to the 25th, 50th, and 75th percentiles of spring discharge (April-June). These discharges were chosen to assess water depths and velocities available to Lake Sturgeon (Acipenser fulvescens) during the spawning period and early developmental period. To account for tributary inputs variable discharges were supplied to cross-sections over the river course. The discharge percentiles were calculated for the four USGS gaging stations within the model domain, representing 11-34 years of data, depending on the duration of operation of each gage. For a hydraulic simulation at a given discharge percentile, the corresponding discharge at a gage was supplied to the cross-section closest to each gage. Discharges supplied to cross-sections 70919 and 67967 (the upper model extent and cross-section nearest gage 04206000) were 6.3, 11.9, and 22.2 cms for the 25th, 50th, and 75th percentile of spring discharge, respectively. Discharges supplied to cross-section 39189 (near gage 04206425) were 12.1, 20.76, and 36.81 cms for the 25th, 50th, and 75th percentile of spring discharge, respectively. Discharges supplied to cross-section 21480 were 13.37, 22.74, and 42.76 cms for the 25th, 50th, and 75th percentile of spring discharge, respectively. And discharges supplied to cross-section 9681 were 20.42, 33.41, and 53.52 cms for the 25th, 50th, and 75th percentile of spring discharge, respectively. To calibrate the model, simulated water surface elevations (WSE) were compared to known water surface elevations (KWSE). KWSE at cross-sections nearest to each gaging station were calculated as the mean KWSE over a gage's operating period for each discharge percentile. Mannings-N values were then adjusted at each cross-section until simulated WSE agreed with KWSE. The final model had a root mean square error of 0.11 m across all three discharges and WSE deviations from KWSE were less than 0.23. The magnitude of error was considered suitable for the simulated depths and water velocities to be used in Lake Sturgeon habitat assessments within the model domain. 20230123 Jesse McCarter U.S. Fish and Wildlife Service Fish Biologist mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (734) 749-7817 jesse_mccarter@fws.gov Results from the one-dimensional steady-state flow models (i.e., 25th, 50th, and 75th flow percentiles) were interpolated across the entire digitized study area, utilizing the terrain layer created in step 2. Resulting in raster files (.tiff) which contained values for simulated water depths (m) and water velocity (m/s) for the three flow percentiles. 20240123 Jesse McCarter U.S. Fish and Wildlife Service Fish Biologist mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (734) 749-7817 jesse_mccarter@fws.gov North American Datum of 1983 (NAD 83) Geodetic Reference System 1980 6378137.000000 298.257222 North American Vertical Datum of 1988 0.01 meters Attribute values Jesse McCarter U.S. Fish and Wildlife Service Fish Biologist mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (734) 749-7817 jesse_mccarter@fws.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Digital Data None 20241112 Jesse McCarter U.S. Fish and Wildlife Service Fish Biologist mailing and physical

28403 Old North Gibraltar Rd.

Gibraltar Michigan 48173 United States (734) 749-7817 jesse_mccarter@fws.gov FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999