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Çѱ¹Áö¹Ý°øÇÐȸ / v.20, no.7, 2004³â, pp.33-44
GIS KrigingÀ» ÀÌ¿ëÇÏ¿© °ø°£ÀûÀ¸·Î ºÐÆ÷ÇÏ´Â ÁöÁø¸Å°³º¯¼öÀÇ ºÐ¼®°ú ¼Õ»ó Æò°¡
( Damage Estimation Based on Spatial Variability of Seismic Parameters Using GIS Kriging )
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ÁöÁø½Ã ÃøÁ¤µÇ´Â strong motion µ¥ÀÌÅÍ¿Í ½Ã¼³¹°ÀÇ ¼Õ»óÀÇ »ó°ü°ü°è¸¦ ±¸Çϱâ À§ÇÏ¿© º» ¿¬±¸¸¦ ¼öÇàÇÏ¿´´Ù. ÁöÁø½Ã ÃøÁ¤µÈ ½Ã°£ - ÁöÁø°­µµ °ü°è¿Í ÃøÁ¤À§Ä¡µéÀÌ Æ÷ÇÔµÈ ´ë±Ô¸ð ÁöÇüÁ¤º¸½Ã½ºÅÛ(GIS) µ¥ÀÌÅÍ¿¡ ´ëÇÑ ºÐ¼®¿¡ Kriging °ø°£ Åë°èºÐ¼®¹ýÀ» »ç¿ëÇÔÀ¸·Î½á ÷µÎÁö¹Ý¼Óµµ(PGV)¿Í ÆÄÀÌÇÁ¶óÀÎ ¹× °Ç¹°ÀÇ ¼Õ»óÁ¤µµÀÇ °ü°è¸¦ ±¸ÇÒ ¼ö ÀÖ¾úÀ¸¸ç, ƯÈ÷, Kriging¹ýÀº ÃøÁ¤Ä¡¿¡ Æ÷ÇÔµÈ ¿ÀÂ÷ µî ºÒÈ®½ÇÇÑ ¿ä¼ÒµéÀ» °í·ÁÇÑ $90%$ÀÇ ½Å·Úµµ¿¡ ÇØ´çÇÏ´Â ÁöÁø°­µµ-¼Õ»ó °ü°è¸¦ ±¸ÇÒ ¼ö À־ ¿ª°Å¸® Á¦°ö¹ý µî ´Ù¸¥ °ø°£µ¥ÀÌÅÍ ºÐ¼®¹ý¿¡ ºñÇÏ¿© ¿ì¼öÇÑ ¹æ¹ýÀ̾ú´Ù.
This paper is focused on the spatial variability of measured strong motion data during earthquake and its relationship with the performance of water distribution pipelines and residential buildings. Analyses of strong motion and the correlations of peak ground velocity (PGV) and pipeline and building damage were conducted with a very large geographical information system (GIS) database including the relationship of time and earthquake intensity and the measured location, and Kriging spatial statistics. Kriging was used to develop regressions of pipeline repair rate (RR) and residential building damage ratio (DR) associated with $90%$ confidence peak ground velocity (PGV). Such regressions using Kriging provide an explicit means of characterizing the uncertainty embodied in the strong motion data compared with other spacial statistics such as inverse distance method.
 
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Building damages;Earthquake;Geotechnical engineering;GIS;Seismic parameters;
 
Çѱ¹Áö¹Ý°øÇÐȸ³í¹®Áý / v.20, no.7, 2004³â, pp.33-44
Çѱ¹Áö¹Ý°øÇÐȸ
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200425720310866)
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