Mississippi State University
Chesser, Gary D.
Lowe, John W.
Turnage, Lee G.
Date of Degree
Graduate Thesis - Open Access
Master of Science (M.S.)
College of Agriculture and Life Sciences
Department of Agricultural and Biological Engineering
Real-time water quality monitoring is crucial due to land utilization increases which can negatively impact aquatic ecosystems from surface water runoff. Conventional monitoring methodologies are laborious, expensive, and spatio-temporally limited. Autonomous surface vehicles (ASVs), equipped with sensors/instrumentation, serve as mobile sampling stations that reduce labor and enhance data resolution. However, ASV autopilot navigational accuracy is affected by environmental forces (wind, current, and waves) that can alter trajectories of planned paths and negatively affect spatio-temporal resolution of water quality data. This study demonstrated a commercially available solar powered ASV equipped with a multi-sensor payload ability to operate autonomously to accurately and repeatedly maintain established A-B line transects under varying environmental conditions, where lateral deviation from a planned linear route was measured and expressed as cross-track error (XTE). This work provides a framework for development of spatial/temporal resolution limitations of ASVs for real-time monitoring campaigns and future development of in-situ sampling technologies.
Wolfe, Jessica Simmerman, "Evaluation of the utility and performance of an autonomous surface vehicle for mobile monitoring of waterborne biochemical agents" (2021). Theses and Dissertations. 5318.