AFFILIATED RESEARCHERS conducts bathymetric surveying on the Russian River, Sonoma County, California.
The National Marine Fisheries Service of NOAA joined with Sonoma County, non-governmental organizations, and various stakeholders to actively research the ecological opportunities of reclaiming fishing habitat along the Russian River in Sonoma County, California. The project objective is to “re-create ecologically productive off channel habitats” which are critically important to threatened and endangered Pacific salmon.
AFFILIATED RESEARCHERS was selected to provide hydrographic, geotechnical, and water quality services, and awarded a contract from the Sonoma County for this innovative program.
During January 2013, to collect needed river hydrology data towards this habitat restoration program, AFFILIATED RESEARCHERS utilized its jet-drive survey vessel, and advanced single-beam surveying equipment and software to collect precise, centimeter accurate bathymetric data along 7.5 miles of the Russian River.
AFFILIATED RESEARCHERS also utilized its centimeter accurate RTK-GPS to collect water surface elevation and shoreline position data along the river to support the hydraulic modeling being developed by NOAA and USGS scientists.
AFFILIATED RESEARCHERS successfully collected nearly 300,000, centimeter accurate bathymetric and water surface position-elevation data during 6 field days. This success was largely attributed to the extensive amount of pre-project planning, professionally trained onsite field crew, and specialized hydrographic equipment provided by AFFILIATED RESEARCHERS.
In addition to these services, AFFILIATED RESEARCHERS utilized its vessel and GIS-GPS capabilities to support NOAA Scientists with the collection of needed water quality data along the river, and utilized its RTK-GPS to collect positions and elevation of NOAA’s water monitoring instruments.
As part of its deliverables, AFFILIATED RESEARCHERS compiled the bathymetric survey data and water surface data into elevation contours, and compiled these data with existing LiDAR data.