• Magazine of the Korea Institute for Structural Maintenance and Inspection
• /
• v.17 no.3
• /
• pp.2-5
• /
• 2013

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
• /
• 2006.09a
• /
• pp.197-200
• /
• 2006

• Proceedings of the Korean Society of Crop Science Conference
• /
• 1988.07a
• /
• pp.24-25
• /
• 1988

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2009.10a
• /
• pp.148-150
• /
• 2009

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2003.04a
• /
• pp.32-36
• /
• 2003

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2008.04a
• /
• pp.154-156
• /
• 2008

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.2
• /
• pp.14-22
• /
• 2017

The frequency and scale of natural disasters due to the abnormal climate phenomena caused by global warming have being increasing all over the world. Various natural disasters, such as typhoons, earthquakes, floods, heavy rain, drought, sweltering heat, wind waves, tsunamis and so on, can cause damage to human life. Especially, the damage caused by natural disasters such as the Earthquake of Japan, hurricane Katrina in the United States, typhoon Maemi and so on, have been enormous. At this stage, it is difficult to estimate the scale of damage due to (future) natural disasters and cope with them. However, if we could predict the scale of damage at the disaster response level, the damage could be reduced by responding to them promptly. In the present study, therefore, among the many types of natural disaster, we developed a function to estimate the damage due to wind waves caused by sea winds and waves. We collected the damage records from the Disaster Report ('91~'14) published by the Ministry of Public Safety and Security about wind waves and typhoons in the western coastal zone and, in order to reflect the inflation rate, we converted the amount of damage each year into the equivalent amount in 2014. Finally, the meteorological data, such as the wave height, wind speed, tide level, wave direction, wave period and so on, were collected from the KMA (Korea Meteorological Administration) and KHOA (Korea Hydrographic and Oceanographic Agency)'s web sites, for the periods when wind wave and typhoon damage occurred. After that, the function used to estimate the wind wave damage was developed by reflecting the regional characteristics for the 9 areas of the western coastal zone.

• Journal of Ocean Engineering and Technology
• /
• v.22 no.3
• /
• pp.8-17
• /
• 2008

Wrenching climatic changes due to ecocide and global wanning are producing a natural disaster. Coastal zones have been damaged by typhoons and accompanying storm surges. Severe waves, and destruction of the environment are adding to the severity of coastal disasters. There has been an increased interest in these coastal zone problems, and associated social confusion, after the loss of life and terrible property damage caused by typhoon Maemi. Especially if storm surges coincide with high ticks, the loss of life and property damage due to high waters are even worse. Therefore, it is desirable to accurately forecast not only the timing of storm surges but also the amount water level increase. Such forecasts are very important from the view point of coastal defense. In this study, using a numerical model, storm surge was simulated to examine its fluctuation characteristics for the coastal area behind Masan Bay, Korea. In the numerical model, a moving boundary condition was incorporated to explain wave run-up. Numerically predicted inundation regimes and depths were compared with measurements from a field survey. Comparisons of the numerical results and measured data show a very good correlation. The numerical model adapted in this study is expected to be a useful tool for analysis of storm surges, and for predicting inundation regimes due to coastal flooding by severe water waves.

• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.318-321
• /
• 2004

The damage scale and damage area in the coast have been increased dramatically because of calamities such as typhoon. tidal wave. flood and storm. Especially. 409 cases. which reach to about $40.9\%$ of natural disasters of 1,000 cases for the recent 15 years have happened on coast area. More than $40\%$ of natural disasters also occurred every year is happening in coastland. Therefore, there is a great need to construct all related GIS database such as atmospheric phenomena (typhoon. tidal wave, flood and storm). harbor facility, harbor traffic and ebb and flow. Furthermore. the certain system should be developed and integrated with NDMS (National Disaster Management System) by using 3D web GIS technology. In this study. the coast disaster area management system was designed and developed by using 3D web GIS technique so that the coast disaster area could be monitored and managed in real time and in visual. Finally. the future disaster in coast area could be predicted scientifically.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.26 no.3
• /
• pp.219-225
• /
• 1981

Strong wind of 6.5m/s from electric fan was applied to rice at heading stage to find out the nature of wind damage to panicle. Damaged panicles caused by typhoon were sampled out of field to measure the yield and milling components. Wind-treated glumes were developed into two forms, fertile and sterile, and each of them showed all degree of glume discoloration. The number of fertile grains were higher than sterile grains in a damaged panicle. Averagesdegree of glume discoloration was higher in not flowered glume than in flowered glume. The more recently flowered glumes resulted the higher degree of discoloration among flowered glume. The percent of sterile grain to total number of grains was the highest at stage of just flowering. The glume discoloration representing wind damage at heading state advanced in degree in ten days after treatment compared to that just after treatment. Grain length and grain width were decreased with the increased degree of glume discoloration, while grain thickness was not changed greatly. Chalkiness was a little higher in damaged grain than in normal grain without definite trends by degree of discoloration. Ripening ratio, 1000 grain weight and yield decreased with increased degree of glume discoloration in damaged panicle by typhoon. Decreasing order in yield was white rice, rough rice and brown rice. Ratio of brown rice to rough rice increased, white rice to brown rice decreased, and milling recovery was not changed greatly with increased degree of 히ume discoloration.