Risk assessment and management system for power lifeline against typhoon (RAMPT), developed by the CRIEPI, is a system capable of predicting the amount of damage caused to distribution equipment based on wind forecasts. This system is widely used in actual disaster situations. Generally, distribution equipment is affected by both direct forces caused by strong winds but and indirect impacts caused by fallen trees and landslides. Currently, RAMPT encounters challenges in predicting the damage caused by indirect impacts. Hence, this study develops a correction method for the prediction results of RAMPT by focusing on the indirect impacts causing damage to distribution equipment. An analysis of the relationship between the distribution equipment damage and indirect impacts using existing damage records revealed that the proximity between the equipment and trees and the landslide alert information from the Meteorological Agency presented a high correlation with the damage. Consequently, the application of correction factors based on information clarifying the relationship with damage improved the accuracy of damage predictions.
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