Back to results

University of Tennessee at Chattanooga

A study of aquatic sedimentation in Chattanooga, Tennessee, using GIS and remote sensing technology integrated with hydrodynamic and watershed models

Abstract

dc:description.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.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Firat, Connor
Contributors dc:contributor
  • Hossain, A.K.M. Azad
  • Chao, Xiaobo; DeVries, Stephanie; Mies, Jonathan W.
  • College of Arts and Sciences

Subjects

dc:subject × 5

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/873
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-2051

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Firat, Connor. A study of aquatic sedimentation in Chattanooga, Tennessee, using GIS and remote sensing technology integrated with hydrodynamic and watershed models. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/873