Bulletin 210, Dam Surveillance Data and Observations – Effective Diagnostic Analyses to Determine Behaviour Patterns, focuses on the use of surveillance data to better understand dam behaviour and improve safety. It highlights the importance of combining instrumentation and data analysis with visual observations, experience and engineering judgement.

The Bulletin presents different methods for analysing monitoring data, from traditional statistical and deterministic models to newer machine-learning techniques. It stresses the importance of data quality and model validation, while recognising that some potentially hazardous behaviours may not be detected through statistical trends alone.

Finally, the Bulletin explores how new technologies can enhance dam surveillance and diagnostic capabilities. These tools should complement established monitoring practices and human expertise, helping dam owners and engineers turn surveillance data into meaningful information for assessing behaviour and supporting dam-safety decisions.