|
Research
Summary
Dr. Tissot's research presently focuses on two areas:
(1) The development and application of machine learning techniques for the modeling of environmental systems
(2) Various case studies in environmental radioactivity.
Dr. Tissot has advised students at the undergraduate and graduate level in both areas of research.
(1) Development and application of machine learning techniques for
the modeling of environmental systems: Dr. Tissot is part of a group
of Mathematicians and Geoscientists investigating the potential of
machine learning techniques for nonlinear environmental systems. The
goal is to develop new techniques that take advantage of the increasing
availability of measurements generated by the Earth Observation Systems.
Past and present projects have included the development, comparative
performance assessment and in one case the implementation of Artificial
Neural Network (ANN) models. Case studies have included predictive
models of water levels and storm surges, spring flows in a karst aquifer,
and indicator bacteria concentrations in coastal recreational waters.
The work is conducted in close collaboration with the TAMUCC Division
of Nearshore Research (DNR), the Center for Water Supply Studies (DNR),
members of the Mathematics faculty and the Weather Forecasting Offices
of Corpus Christi and Brownsville. A ANN based real-time water level
predictive model for the coast of Texas is being implemented and is
accessible through the DNR website.
(2) Case studies in environmental radioactivity: Dr. Tissot and his students operate a low radiation background gamma ray spectroscopy station complemented with coring equipment (soils and sediments) and radon monitoring equipment. A long-term project is to better understand Naturally Occurring Radionuclide Material (NORM) transport from a group of former open pit uranium mines in South Texas and its potential historical environmental impact. Other projects include monitoring radon exhalation from soils and radon concentrations in water, measuring recent (decades) sedimentation rates through radionuclide cores of sediments and soils.
|