Determining the Utility and Adaptability of Remote Sensing in Monitoring and Assessing Reservoir Eutrophication and Turbidity for TMDL Assessments
|Date||January 2008 - December 2009|
|Categories||Infrastructure Management, Lakes, Water Resources|
|Capabilities||Analysis of Remote Sensing Data, Geospatial Database Development, Visualization|
Kansas Department of Health and Environment
|Location||Clinton, Hilsdale, Centralia, and Louisburg-Middle Creek Lakes in eastern Kansas|
KBS examined 4 Kansas reservoirs out of a pool of reservoirs that have been identified by the Kansas Department of Health and Environment-Watershed Planning Section (KDHE) as exhibiting impairment due to turbidity and eutrophication: Two large lakes (Clinton Reservoir and Hillsdale Reservoir); and two small lakes (Centralia Lake and Louisburg-Middle Creek Lake) were selected as they are typical of impoundments found across much of EPA Region 7. See the QAPP for more details. The scientific objectives include:
- Develop statistical models between turbidity, Secchi disk, total suspended solids, chlorophyll a, total phosphorus (TP), and spectral reflectance values;
- Evaluate and compare the models developed in this study with models described in the scientific literature;
- Examine both within-reservoir variability and between-reservoir variability in predicted water quality parameters;
- Sponsor one regional workshop to both share methodologies developed in this project and the outcome models while providing opportunities for the presentation of other regional remote sensing efforts related to TMDL development and monitoring.
USEPA Region 7 2010 Impaired Waters and Watersheds Conference - Determining the Utility and Adaptability of Remote Sensing in Monitoring and Assessing Reservoir Eutrophication and Turbidity for TMDL Assessments, Jakubauskas, Huggins, and Baker (pdf)
171. Huggins, D.G, M. Jakubauskas, D.S. Baker, T. Hammer. 2010. Determining the Utility and Adaptability of Remote Sensing in Monitoring and Assessing Reservoir Eutrophication and Turbidity for TMDL Assessments. Open-file Report No. 171. Kansas Biological Survey, Lawrence, KS. 58 pp.
CoPI, Kansas Biological Survey