Sponsoring Organization: Florida Department of Environmental Protection: Northeast District
Description: The Department of Environmental Protection's (DEP) River at a Glance report provides the public with information on water quality in the St. Johns River. Since April of 1997, DEP's Northeast District has sampled the River in Duval County and later expanded this effort to include stations in Clay and Putnam counties.
Since environmental factors can change quickly, scientists dubbed the survey "River at a Glance" to emphasize that the sample results represent a monthly snapshot of the St. Johns River.
River at a Glance is intended to monitor water quality and draw conclusions on the influence of environmental factors. If water quality drops below the safe mark for swimming or fishing activities, the Department of Health would issue appropriate warnings.
Web Site: http://www.dep.state.fl.us/northeast/stjohns/default.htm
Duration: 01/01/1997 to present (as of 03/16/2009)
Program Contact: Lee Banks
Program Contact Email: Lee.Banks@dep.state.fl.us
Program Contact Web URL: http://www.dep.state.fl.us/water/storet/contacts.htm
Data Access Web URL: http://www.dep.state.fl.us/northeast/RAAG/default.htm
Data Access Information: STORET
Data Access Policy: open
Sampling Design: Sample Runs - All sites are sampled bi-monthly. Each month four of the eight sites are sampled. This is done on 2 tracks, A and B, listed in the table above. Track A sites are done in odd months and Track B sites are done in even months. BOD, coliforms, TSS, VSS, color, turbidity and the in-situ measurements, dissolved oxygen, pH, conductivity, temperature, salinity, and Secchi depth are studied during every sampling event. Nutrients are done every other sampling event; therefore, nutrients are done at each site every 4 months while all other parameters are done bi-monthly.
Sampling Frequency: Monthly
Data Collection Area Description: Map of all locations:
Quality Assurance Plan: STORET
Monitoring Stations: no stations are currently registered in the database