Corrosion is influenced by a large number of environmental, material, and operational factors. Rather than relating corrosion rates directly to absolute values of water quality parameters such as temperature, salinity, pH, or dissolved oxygen, this project investigates whether deviations from typical environmental conditions provide a more meaningful indicator of corrosion behaviour. The student will explore statistical methods to quantify environmental variability and assess whether standardised measures (e.g., z-scores or multivariate deviation metrics) can be linked to observed corrosion rates. The work combines corrosion science, statistics, and data analysis, with a focus on understanding how complex environmental conditions influence material degradation.