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- W2068424338 abstract "지진피해예측시스템(HAZUS)을 이용하여 지진발생 시 지역별 재해규모를 예측할 수 있으며, 이 결과는 실제상황에서는 신속하고 효과적인 피해복구대책을, 가상지진상황에서는 실효성 있는 종합 지진재해대비책을 수립하는데 큰 도움을 줄 수 있다. 지역적 지반특성에 따라 지진동의 크기가 다르게 나타나므로, 지역적 지반특성을 반영한 지반특성분류도를 작성하여 지진재해예측 시스템 구현에 적용하면 보다 신뢰성 높은 피해예측 결과를 산출할 수 있다. 이번 연구에서는 경주지역에서 발생하는 규모 6.7의 가상지진에 대하여 지반특성분류도를 적용한 경우와 그렇지 아니한 경우 지역별 지진재해예측 결과에 차이가 있음을 확인하였다. 지반특성분류도를 적용하지 않았을 경우에는 지진발생위치로부터 거리가 멀어질수록 점차적으로 재해가 작아지는 일정한 형태를 보인다. 그러나 지반특성분류도를 적용한 경우에는 지진발생위치와 지반특성이 동시에 지역별 재해크기에 영향을 미친다. 경주시의 경우 지진발생위치와 가까이 위치하기 때문에 피해규모가 크고, 포항시 남구의 경우 이 지역에 광범위하게 분포하고 있는 연약지반의 영향으로 경주와 비슷한 피해규모가 예상된다. Regionally varying seismic hazards can be estimated using an earthquake loss estimation system(e.g. HAZUS). The resulting estimates for actual earthquakes help federal and local authorities develop rapid, effective recovery measures. Estimates for scenario earthquakes help in designing a comprehensive earthquake hazard mitigation plan. Local site characteristics influence the ground motions ensuing from earthquakes. Realistic loss estimates can be obtained using a site classification map, which faithfully portrays the characteristics of the shallow subsurface. We estimated the losses due to a magnitude 6.7 scenario earthquake in Gyeongju, with and without a site classification map. Significant differences in loss estimates were observed. The loss without the site classification map decreased without variation with increasing epicentral distance, while the loss with the site classification map varied from region to region, due to both the epicentral distance and local site effects. The major cause of the large loss expected in Gyeongju is the short epicentral distance. Pohang Nam-Gu is located farther from the earthquake source region. Nonetheless, the loss estimates in the remote city are as large as those in Gyeongju and are attributed to the site effect of soft soil found widely in the area." @default.
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- W2068424338 date "2011-12-31" @default.
- W2068424338 modified "2023-09-23" @default.
- W2068424338 title "A Simulation of Earthquake Loss Estimation with Application of a Site Classification Map" @default.
- W2068424338 cites W1994796627 @default.
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- W2068424338 doi "https://doi.org/10.9798/kosham.2011.11.6.067" @default.
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