Environmental Health Commons^™

Modeling Chlorophyll Concentrations On The Ohio River Using Remotely Sensed Data, Thaddaeus Stephen Tuggle

Theses, Dissertations and Capstones

Traditional direct water quality methodologies limit the ability to spatially and temporally predict algal blooms in lotic systems due to the size and characteristics of large river systems. Algal blooms potentially can be predicted by knowing the spatial and temporal patterns of change in cyanobacteria concentrations at large scales. Remote sensing studies investigating freshwater algal blooms, some known to secrete harmful toxins, are primarily conducted on lentic systems while large lotic systems are greatly ignored. In this study I developed a chlorophyll concentration estimation model for the Ohio River using a satellite remote sensing approach. Ground-truth water quality measures, including …