<p>This study aims to investigate termite infestation routes in areas concentrated with urban hanoks and establish preemptive measures to effectively prevent them. To achieve this goal, this study employed a structured observational protocol using Colony Elimination System Monitoring (CESM), prompting five instances of systematic monitoring activities from January 2020 to April 2021. As a result, this study observed actual termite activities only in Gahoe-dong ②, which suggests that local conditions, such as soil moisture, organic residues, and shaded environments, influence termites’ ecological preferences. Findings also confirmed that the proximity between hanoks and preexisting damage were also crucial factors to the horizontal termite spread. CESM maintained stable performance during the entire operation and predicted termite existence with 80% accuracy through logistic regression analysis, demonstrating its effectiveness as a long-term monitoring tool. However, this study has limitations in failing to include important environmental variables, such as relative humidity, soil moisture, and rainfall, which suggests a more advanced variable design in future research. Lastly, this research proposed three practical methods for the effective use of CESM: (1) priority of application for areas densely concentrated with hanoks; (2) setting the priority of installation based on damage history; and (3) establishing a monitoring system linked to public platforms. Furthermore, discussions also took place on the possibility of expanding into a predictive pest control system utilizing IoT and AI.</p>

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Analysis of Termite Infestation Routes in Areas Concentrated with Urban Hanoks and the Performance of Colony Elimination System Monitoring (CESM)

  • Yeon Cheol Shin,
  • Yu Mi Moon

摘要

This study aims to investigate termite infestation routes in areas concentrated with urban hanoks and establish preemptive measures to effectively prevent them. To achieve this goal, this study employed a structured observational protocol using Colony Elimination System Monitoring (CESM), prompting five instances of systematic monitoring activities from January 2020 to April 2021. As a result, this study observed actual termite activities only in Gahoe-dong ②, which suggests that local conditions, such as soil moisture, organic residues, and shaded environments, influence termites’ ecological preferences. Findings also confirmed that the proximity between hanoks and preexisting damage were also crucial factors to the horizontal termite spread. CESM maintained stable performance during the entire operation and predicted termite existence with 80% accuracy through logistic regression analysis, demonstrating its effectiveness as a long-term monitoring tool. However, this study has limitations in failing to include important environmental variables, such as relative humidity, soil moisture, and rainfall, which suggests a more advanced variable design in future research. Lastly, this research proposed three practical methods for the effective use of CESM: (1) priority of application for areas densely concentrated with hanoks; (2) setting the priority of installation based on damage history; and (3) establishing a monitoring system linked to public platforms. Furthermore, discussions also took place on the possibility of expanding into a predictive pest control system utilizing IoT and AI.