Committee Chair

Hossain, A.K.M. Azad

Committee Member

Chao, Xiaobo; DeVries, Stephanie; Mies, Jonathan W.

Department

Dept. of Biological and Environmental Sciences

College

College of Arts and Sciences

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Suspended sediments can have benefits and drawbacks on aquatic ecosystems depending on the concentrations. The need to quantitatively monitor water bodies and watersheds is key to reduce excessive suspended concentrations. This study aims to integrate remote sensing technology with numerical watershed and hydrodynamic models and apply them on the Tennessee River and the surrounding tributaries to better assess the fate and transport of suspended sediment concentrations (SSC) there. The obtained results indicate that using Google Earth Engine (GEE), Landsat satellite can be used to estimate historical turbidity in the Tennessee River. Using field measurements and laboratory analyses the obtained satellite derived turbidity estimation can be converted to SSC, which can be incorporated with the HSPF (Hydrological Simulation Program – FORTRAN) hydrologic (watershed) model and CCHE2D Flow and Water Quality models to simulate the SSC in the Tennessee River.

Acknowledgments

National Aeronautics and Space Administration (NASA), United States Geological Survey (USGS), National Center for Computational Hydroscience and Engineering (NCCHE), Environmental Protection Agency (EPA), Google, Tennessee Wildlife Resources Agency (TWRA),TennesseeView (TNView), Geological and Environmental Research Laboratory (GERS-Lab), Department of Biology, Geology, and Environmental Science at UTC.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

8-2024

Subject

Aquatic organisms--Effect of contaminated sediments on--Tennessee--Chattanooga; Sedimentation analysis--Geographic information systems; Sediment control--Tennessee--Chattanooga; Water quality--Tennessee River--Remote sensing; Watershed management--Mathematical models

Keyword

remote sensing; hydrologic modeling; hydrodynamic modeling; suspended sediment concentrations; Google Earth Engine; Landsat

Document Type

Masters theses

DCMI Type

Text

Extent

xxii, 167 leaves

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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