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³í¹®¸í °íÇØ»óµµ ºû°øÇØ Áöµµ¸¦ ÅëÇÑ ¼­¿ï½Ã Á¶¸íȯ°æ°ü¸®±¸¿ª ±âÁØ ºÐ¼® / An Analysis of the Classification of Seoul¡¯s Environmental Lighting Zones based on a High-Resolution Light Pollution Map
ÀúÀÚ¸í ÀÌ»õ·Ò(Lee, Sairom) ; ÃÖÃá¿õ(Choi, Choon)
¹ßÇà»ç ´ëÇÑ°ÇÃàÇÐȸ
¼ö·Ï»çÇ× ´ëÇÑ°ÇÃàÇÐȸ³í¹®Áý, Vol.36 No.11 (2020-11)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(171) ÃÑÆäÀÌÁö(10)
ISSN 2733-6247
ÁÖÁ¦ºÐ·ù µµ½Ã / ȯ°æ¹×¼³ºñ
ÁÖÁ¦¾î Á¶¸íȯ°æ°ü¸®±¸¿ª; ºû°øÇØ; ¾ß°£Á¶¸í; ¿ëµµÁö¿ª; µµ½Ã°èȹ ; Environmental Lighting Zone; Light Pollution; Night Light; Land-Use; Urban Planning
¿ä¾à1 º» ³í¹®Àº °íÇØ»óµµ ºû°øÇØ Áöµµ¸¦ ÅëÇÏ¿© ¼­¿ï½Ã Á¶¸íȯ°æ°ü¸®±¸¿ªÀÇ ±¸ºÐ ±âÁØÀ» ºÐ¼®ÇÑ °ÍÀÌ´Ù. 2018³â ±¹Åä±³Åë°úÇбâ¼úÁøÈï¿ø Áö¿ø ¾Æ·¡ ±¹³» ºû°øÇØ °ü¸®Ã¼°è¸¦ º¸¿ÏÇÏ°í µµ½Ã°èȹÀû °ü¸®½Ã½ºÅÛ °³¹ßÀ» ¸ñÇ¥·Î VIIRSµ¥ÀÌÅÍ¿Í ISSÃÔ¿µ µ¥ÀÌÅÍÀÇ ÅëÇÕÀ¸·Î °íµµÈ­µÈ ¼­¿ï½Ã ºû°øÇØ Áöµµ°¡ Á¦À۵Ǿú´Ù. ÀÌ·¯ÇÑ °íÇØ»óµµ ºû°øÇØ Áöµµ´Â ºñ±³Àû ¼¼¹ÐÇÑ °ø°£´ÜÀ§·Î ¼­¿ï½Ã ºû ÇöȲÀ» ºÐ¼® °¡´ÉÄÉ ÇÑ´Ù. ÇöÀç ¼­¿ï½ÃÀÇ Á¶¸íȯ°æ°ü¸®±¸¿ªÀº ¿ëµµÁö¿ªÀ» ±âÁØÀ¸·Î Á¦1Á¾~Á¦4Á¾À¸·Î ³ª´¶´Ù: »ó¾÷Áö¿ª/°ø¾÷Áö¿ª, ÁÖ°ÅÁö¿ª, ÀÚ¿¬³ìÁöÁö¿ª, »ýÅ°躸ÀüÁö¿ª. °¢ °ü¸®±¸¿ª¿¡´Â ºû¹æ»çÇã¿ë±âÁØÀÌ ÁöÁ¤µÇ¾î ÀÖÀ¸¸ç ³ª¿­ÇÑ ¼øÀ¸·Î Çã¿ë±âÁØ ¼öÄ¡°¡ ³·¾ÆÁø´Ù. º» ³í¹®Àº °íÇØ»óµµ ºû°øÇØ Áöµµ¸¦ ±×·¡½ºÈ£ÆÛ À̹ÌÁö »ùÇ÷¯ ¾Ë·Î¸®ÁòÀ» ÅëÇÏ¿© ÇöÀç Á¶¸íȯ°æ°ü¸®±¸¿ª ±¸ºÐ ±âÁØ°ú ºñ±³ÇÏ¿© Çö ºû°øÇØ ¼öÁØ ½ÇŸ¦ ¹Ý¿µÇÏ°í ÀÖ´ÂÁö ºÐ¼®ÇÏ¿´´Ù. ºÐ¼® °á°ú, ´ëºÎºÐÀÇ ÀÚÄ¡±¸°¡ ÁÖ°ÅÁö¿ª¿¡ ´ëÇØ »ó¾÷Áö¿ª ¸øÁö ¾ÊÀº ºû°øÇØ ¼öÁØÀ» º¸À̴µ¥ ÀÌ´Â ¼­¿ï½Ã ÁÖ°ÅÁö¿ª¿¡ ´ëÇÑ »ó¾÷½Ã¼³ÀÇ Ä§ÀÔ¿¡ ¿øÀÎÀÌ ÀÖ´Ù. ƯÈ÷ Á¦2ÀϹÝÁÖ°ÅÁö¿ª, Á¦3ÀϹÝÁÖ°ÅÁö¿ª°ú ÁØÁÖ°ÅÁö¿ªÀº Á¦1ÀϹÝÁÖ°ÅÁö¿ª°ú ÁØÁÖ°ÅÁö¿ªº¸´Ù ÈξÀ ¸¹Àº ºû°øÇظ¦ À¯¹ßÇϴµ¥ ÀÌ´Â ´ëºÎºÐÀÇ »ó¾÷½Ã¼³ÀÌ ±Ù¸°»ýÈ°½Ã¼³À̶ó´Â ¹üÁÖ ¾È¿¡¼­ °ÅÀÇ ¸ðµç ¿ëµµ°¡ ÀÏ¹Ý ÁÖ°ÅÁö¿ª¿¡ ÀÔÁö°¡ °¡´ÉÇϱ⠶§¹®ÀÌ´Ù. ÀÌ·¯ÇÑ ¿ëµµÁö¿ªÀÇ È¥ÇÕÀÌ °ð ºû°øÇØ È®»êÀÇ ¿øÀÎÀÌ µÇ¸é¼­ ¿ëµµÁö¿ªÀ¸·Î Á¶¸íȯ°æ°ü¸®±¸¿ª ±¸ºÐ °ü¸®ÇÏ°í ÀÖ´Â ¼­¿ï µµ½É¿¡ ºû°øÇظ¦ ¾ß±âÇÏ°í ÀÖ´Ù. ¶ÇÇÑ °ø¾÷Áö¿ª °°Àº °æ¿ì »ó¾÷Áö¿ª°ú ¸¶Âù°¡Áö·Î °¡Àå ³ôÀº ºû¹æ»çÇã¿ë±âÁØÀ» °®°í ÀÖÁö¸¸ ÀÚÄ¡±¸¿¡ µû¶ó ¾ß°£¿¡ ÁÖ°ÅÁö¿ªº¸´Ù ³·Àº ºû°øÇØ ¼öÁØÀ» º¸À̱⠶§¹®¿¡ ÀÚÄ¡±¸ÀÇ »óȲ¿¡ µû¶ó ´õ¿í Á¤È®ÇÑ Á¶¸íȯ°æ°ü¸®±¸¿ª ±¸ºÐ ±âÁØÀÌ ÇÊ¿äÇÏ´Ù. µû¶ó¼­ º» ³í¹®Àº ¿ëµµÁö¿ª¿¡ ´ëÇÑ ºû¹æ»ç ¼öÁØÀÇ ºÐ¼®À» Åä´ë·Î µµ½ÉÇü Á¶¸íȯ°æ°ü¸® ±¸ºÐ ±âÁØÀ» À§ÇÏ¿© Á¶¸íȯ°æ°ü¸®±¸¿ª¿¡ ´ëÇÑ ¼¼ºÐÈ­¸¦ Á¦¾ÈÇÏ´Â ¹ÙÀÌ´Ù.
¿ä¾à2 The purpose of this study is to analyze the classification of Seoul¡¯s environmental lighting zone based on a high-resolution light pollution
map of Seoul. This map was created through a data integration of night time images produced by VIIRS (Visible Infrared Imaging
Radiometer Suite) and ISS (International Space Station). This map provides a detailed space grid of light pollution which allows for a
quantitative analysis of the light pollution in Seoul. There are four different environmental lighting zones in Seoul based on land use:
Commercial/Industrial zones, Residential zones, Green zones and Protected natural areas. These zones have corresponding light emission
standards by regulation in which the emission standards decrease in the order listed. Using the Grasshopper Image Sampler Algorithm of the
light pollution map, this paper examines whether the current environmental lighting zone regulations agree with the current state of light
pollution level. The result shows that a lot of residential areas of the 25 District of Seoul have the same or even higher light pollution level
than commercial areas. This is because a lot of the residential areas have mix-used facilities where high levels of commercial activities occur
at night, making the city at higher risk of light pollution. In lighting zone 3, residential zones, there is a clear pattern showing that 2nd
class residential zones, 3rd class residential zones and mixed-use residential areas have higher light pollution levels than purely residential
areas and 1st class residential zones. Between commercial zones and industrial zones which are both categorized as lighting zones 4, some
industrial zones have lower light emission levels than residential zones at night depending on the type of business. Therefore, this research
suggests lighting sub-zones for areas to have higher or lower light emission standards depending on its local land-use conditions and
commercial activities for a more efficient way to manage and govern light pollution levels at night.
¼ÒÀåó ´ëÇÑ°ÇÃàÇÐȸ
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DOI https://doi.org/10.5659/JAIK.2020.36.11.171
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