2020, Vol.16, No.11

Crisisonomy 2023 KCI Impact Factor : 0.64

pISSN : 2466-1198 / eISSN : 2466-1201
https://journal.kci.go.kr/cemtp

Both the Korean Disaster Safety Network (KDSN) and the National Voluntary Organizations Active in Disaster (NVOAD) in the US were established for effective civil governance on disaster relief, but produced quite different outcomes. This study aimed to overcome limitations of previous studies taking governance as given and suggest how to improve the Korea’s disaster relief governance. In an organizational perspective, a simple and parallel organizational structure of KDSN makes coordination difficult in disaster due to the different capability of each organization, and thus a systemic perspective would be needed for effective and synergistic decision-making structure. In an operational perspective, KDSN has focused on a one-time campaign outcome and was weak in information sharing and networking. In an institutional perspective, the KDSN’s official status should be strengthen to assume the role of governance and on-scene responsibility. A strategic approach is needed for effective coordination of the Korea’s disaster relief governance.

Due to strong wind and dry weather, forest fire disasters occur frequently from winter to spring in Korea. The 2005 forest fire in Yangyang, Kangwon-do caused signficant damage to the areas including Naksansa Temple, which disclosed a number of problems in fire response such as the lack of expertise, absence of manuals and integrative management systems. Meanwhile, the 2019 forest fire in Goseong was considered as an example of successful disaster response because of the central government’s active role in response. Nevertheless, there were still problems including low data reliability and delayed reporting from a fire site to headquarter. Therefore, this study comparatively analyzed the problems of the two forest fires using Root Cause Analysis Method. Based on the result, we developed the decision making support information checklist to help firefighting decisionmakers to make a proper decision during the forest fire response.

This study examined the possibility of estimating bed load discharge using a pipe hydrophone, an acoustic measurement sensor. To that end, a small-scale on-site hydraulic experiment device was built, and regression equations were developed based on the analysis of collision sound signals by bed load discharge, grain size distribution, and flow velocity change. They were classified into pulse and sound pressure integral-based regression equations according to the characteristic value of collision sound. To verify the regression equations, the calculated values of bed load discharge were compared with the actual values. The results showed that the regression equation based on the sound pressure integral had a higher accuracy than the pulse-based regression equation, and the error rate compared to the measured value was approximately 19%. The Index of Agreement (IoA) was found 0.83, indicating a good agreement between the changing trend and estimated value of bed load discharge. It is believed that sediment disasters could be prevented by incorporating various experimental conditions and establishing a corrective relationship with the actual bed load discharge in the river.