2018, Vol.14, No.6

Crisisonomy 2023 KCI Impact Factor : 0.64

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

The M 5.8 earthquake occurred in Gyeong-ju in September 2016 and the M 5.4 earthquake occurred in Pohang in November 2017. After these earthquakes, aftershocks were occurred constantly. Korea is a highly dangerous area for a nuclear accident not only in its own country but also in neighboring countries. When a nuclear accident occurs, radioactive materials are diffused in the surroundings by wind and deposited in the soil and the river, which leads to the contamination of drinking water. In this study, we analyzed the effect of cesium diffusion on river, in case of a nuclear accident in neighboring countries using the environmental multimedia fate model (G-CIEMs). Nuclear concentration of radioactivity was observed in Chung-ju dam and Ipo weir, along with the changes in sediment adsorption and dissolved matters in water and the concentration of Cs-137 in dam/weir.

This study explores the obstacles to prevention of conflicts in local governments and their resolutions. Conflict assessment was introduced to Korea in 2007 as a part of the Regulation on the Prevention and Resolution of Conflicts in Public Agencies to prevent public conflicts. Looking at what happened over the last decade, the conflict assessment seems to have been carried out after conflicts as mitigative rather than preventive approaches. Many local governments have made regulations for conflict prevention and management which include conflict assessment. However, there are many obstacles such as organizational or budgetary problems, although many local governmental ordinances allow for the enactment of preventive conflict assessments. In this paper, we clarified the obstacles and examined ways to cope with them.

The purpose of this study is to provide the basic data for the development of the method catastrophic disaster prediction using a foresight research method widely used in the field of disaster and safety management. Considering a new and changing disaster environment, we used the environmental scanning and Delphi methods to predict future disasters. Based on the selection logic during the response processes, keywords were drawn out to create scenarios for a catastrophic storm and flood and presented to the respondents in the form of scenarios. According to the Delphi, future catastrophic disasters are differentiated from the existing normal-scale disasters in terms of response capacity, extent of damage, scale of damage, and social (psychological) damage. Future catastrophic disasters selected by this study include the epidemic as a social disaster, storm and flood as a natural disaster, and nuclear accident as a man-made disaster.