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³í¹®¸í °ÇÃ๰ °ø°£Á¤º¸¸¦ ÀÌ¿ëÇÑ Ä§¼ö?»ê»çÅ À§Çè °ÇÃ๰ µµÃâ ¿¬±¸ / A Study on Building Extraction Within Flood and Landslide Prone Areas Utilizing Spatial Information of Buildings
ÀúÀÚ¸í ¹éÁ¤¿± ; ³ëÀçâ½Äº°ÀúÀÚ ; ÇöÅÂȯ½Äº°ÀúÀÚ ; Á¶¿µÁø½Äº°ÀúÀÚ ; ÀÓ¸®»ç
¹ßÇà»ç ´ëÇÑ°ÇÃàÇÐȸ
¼ö·Ï»çÇ× ´ëÇÑ°ÇÃàÇÐȸ³í¹®Áý, Vol.39 No.6 (2023-06)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(47) ÃÑÆäÀÌÁö(8)
ISSN 2733-6247
ÁÖÁ¦ºÐ·ù ÀÌ·Ð / °èȹ¹×¼³°è
ÁÖÁ¦¾î °ø°£Á¤º¸; Àç³­ÀçÇØ; ħ¼ö; »ê»çÅÂ; Àç³­¿¹¹æ ; Spatial Information; Disaster; Flood; Landslide; Disaster Prevention
¿ä¾à1 º» ¿¬±¸´Â °ÇÃ๰ÀÇ °ø°£Á¤º¸È­¸¦ ÅëÇØ È«¼ö ¹× »ê»çÅ À§ÇèÁö¿ª ³» °ÇÃ๰À» µµÃâÇÏ°íÀÚ ÇÏ¿´´Ù. º» ¿¬±¸´Â Àç³­À§ÇèÁ¶°Ç ÇÏ¿¡¼­ °ÇÃ๰ÀÇ Æ¯¼ºÀ» ÆľÇÇÔÀ¸·Î½á ½Ã±ÞÇÑ ´ëºñ°¡ ÇÊ¿äÇÑ °ÇÃ๰À» ÆľÇÇϴµ¥ ±â¿©ÇÒ ¼ö ÀÖ´Ù. º» ¿¬±¸¿¡¼­´Â °ÇÃ๰ °ø°£Á¤º¸¸¦ »ý¼ºÇϱâ À§ÇØ °ÇÃ๰´ëÀå Á¤º¸¿Í ÅäÁöƯ¼ºÁ¤º¸¸¦ °áÇÕÇÏ¿´À¸¸ç, QGIS¿¡ Á¡ º¤ÅÍ·Î ÀúÀåµÇ¾î °ÇÃ๰ ¼Ó¼º ÃßÃâ¿¡ È°¿ëµÇ¾ú´Ù. È«¼ö ¹× »ê»çÅ À§Çè Áö¿ª ³»¿¡ À§Ä¡ÇÑ °ÇÃ๰ Ư¼º¿¡ ´ëÇÑ ±â¼úÀû Åë°è¸¦ °¢°¢ °è»êÇÏ°í ½Ã°¢È­Çß´Ù. ¶ÇÇÑ È«¼ö ¹× »ê»çÅ À§Çè Áö¿ª ³»¿¡ À§Ä¡ÇÑ °Ç¹° Ư¼ºÀ» ÃßÃâÇß´Ù.
¿ä¾à2 The purpose of this study was to extract buildings located within flood and landslide hazard areas using spatial information of domestic
buildings. By identifying the characteristics of buildings in disaster-prone regions, this research aims to contribute to the identification of
buildings requiring urgent preparation. This study employed a combination of building ledger data and land characteristic information to
generate building spatial data. Building properties were defined based on the number of basement floors and the years that elapsed since the
use approval date of the buildings. The resulting building spatial data were then categorized into seven distinct clusters based on their
properties. To analyze the differences, ANOVA and posthoc tests were conducted to examine the average variances in flood hours and
landslide hazard rates among the seven clusters. Furthermore, this study identified the building properties located within flood and landslide
hazard areas. By implementing the proposed method, central and local governments can more efficiently and effectively prevent accidents in
buildings during disasters through proactive measures.
¼ÒÀåó ´ëÇÑ°ÇÃàÇÐȸ
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DOI https://doi.org/10.5659/JAIK.2023.39.6.47
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