Effect of climatic parameters on marine atmospheric corrosion: correlation analysis of on-site sensors data

A good understanding of influencing parameters is required to predict corrosivity in marine and coastal environments. This study investigated the influences of real-time data of (i) air temperature, (ii) sensor surface temperature, (iii) relative humidity, (iv) precipitation, and (v) wind on steel corrosion via data analysis. The results revealed that the time when the sensor surface temperature is below the dewpoint temperature reveals the best correlation with corrosion. Wind speed above 5 m s(-1) also correlated with corrosion. At the test site, most of the corrosion occurred during autumn and winter, due to more water condensation and more wind. During spring and summer, there was little corrosion, due to little condensation and dry surfaces.

Automated summary

A good understanding of influencing parameters is necessary for predicting corrosion in marine and coastal environments. This study analyzed real-time data including air temperature, sensor surface temperature, relative humidity, precipitation, and wind to investigate their influences on steel corrosion. The results showed that the correlation between corrosion and the time when the sensor surface temperature is below the dewpoint temperature was the strongest. Corrosion was also correlated with wind speed above 5 m s(-1). Most corrosion occurred in autumn and winter due to increased water condensation and stronger winds, while little corrosion was observed in spring and summer due to less condensation and dry surfaces.