The service environment of concrete dams in cold regions has the characteristics of extremely low tempera-ture in winter,wide temperature difference,frequent cold wave and severe freeze-thaw cycle,which has adverse effects on dam safety.Aiming at the environmental temperature and dam temperature monitoring data of concrete dams in cold regions,a data clustering mining method for identifying the regional characteristics of environmental temperature in cold regions is proposed by constructing a comprehensive similarity distance index reflecting the temperature increment dis-tance and temperature growth distance and applying the hierarchical clustering algorithm.In view of the inapplicability of the conventional dam temperature field change characterization model,the temperature field characterization model of concrete dam in cold region is constructed by integrating the harmonic wave factor,the air temperature and the water temperature pre-terms,which improves the accuracy of temperature field characterization,which provides theoretical and technical support for realizing the analysis of the temperature field and evolution law of concrete dam in cold region and dynamically tracking the dam safety state.
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