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Çѱ¹¼öÀÚ¿øÇÐȸ / v.44, no.3, 2011³â, pp.169-177
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°íÇØ»óµµ ±âÈÄÀڷḦ ÀÌ¿ëÇÑ ¿ì¸®³ª¶óÀÇ ³í °ü°³¿ä±¸·® ¿¹Ãø
( Projecting Future Paddy Irrigation Demands in Korea Using High-resolution Climate Simulations ) |
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| ±âÈĺ¯È°¡ ¿ì¸®³ª¶óÀÇ ³í °ü°³¿ä±¸·®¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ºÐ¼®ÇÏ¿´´Ù. ±â»ó¿¬±¸¼ÒÀÇ SRES A2 ½Ã³ª¸®¿À¿¡ ´ëÇÑ °íÇØ»óµµ ($27{ imes}27;km$) ±âÈÄ ÀÚ·á¿Í ±âÁس⵵ (1971~2000)ÀÇ °üÃø ±â»óÀڷḦ ÀÌ¿ëÇÏ¿´´Ù. ±â»ó¿¬±¸¼Ò°¡ ÀüÁö±¸¸ðÇü ECHO-G ¿¹ÃøÀڷḦ MM5 ¸ðÇüÀ¸·Î ¿ªÇÐÀûÀ¸·Î »ó¼¼ÈÇÑ °á°ú¸¦ ÀÌ¿ëÇÏ¿´´Ù. ³í °ü°³¿ä±¸·®ÀÇ °ø°£ÀûÀÎ º¯È¸¦ ºÐ¼®Çϱâ À§ÇÏ¿© GIS ±â¹ýÀ» ÀÌ¿ëÇÏ¿´´Ù. ¿¬±¸°á°ú´Â º »ýÀ°±â°£ÀÇ Æò±Õ±â¿ÂÀº ±âÁس⵵¿¡ ºñÇØ $1.5^{circ}C$ (2020s), $3.3^{circ}C$ (2050s) ¹× $5.3^{circ}C$ (2080s) »ó½ÂÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¾ú´Ù. º »ýÀ°±â°£ÀÇ °¿ì·®Àº 0.1% (2020s), 4.9% (2050s) ¹× 19.3% (2080s) Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¾ú´Ù. ¿µ³ó ÇüÅÂ¿Í ³í ¸éÀûÀÌ º¯ÇÏÁö ¾Ê´Â´Ù°í °¡Á¤ÇÏ¸é ¿ì¸®³ª¶ó ³íÀÇ ÃÑ °ü°³¿ë¼ö·®Àº 2.8% (2020s), 4.9% (2050s) ¹× 4.5% (2080s) Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¾ú´Ù. º» ¿¬±¸ÀÇ °á°ú´Â ÃÑ °ü°³¿ë¼ö·®ÀÌ ´Ù¼Ò °¨¼ÒÇÒ °ÍÀ¸·Î ¿¹ÃøÇÑ ´Ù¸¥ ¿¬±¸°á°ú¿Í´Â »ó¹ÝµÈ °á°ú¸¦ ³ªÅ¸³»¾úÀ¸¸ç, ±× ÁÖ¿øÀÎÀº »ç¿ëµÈ GCM¿¡ µû¸¥ ±âÈÄ ¿¹ÃøÄ¡ÀÇ Â÷ÀÌ¿¡¼ ¿Â °ÍÀ¸·Î ÆÇ´ÜµÈ´Ù. °ü°³¿ë¼ö·®ÀÇ ½Ã°ø°£Àû º¯µ¿¼ºÀÌ Å« °ÍÀ¸·Î ³ªÅ¸³µÀ¸¸ç ÀÌ´Â ¾ÕÀ¸·Î °ü°³°èȹ°ú ¹° °ü¸®¿¡¼ °í·ÁµÇ¾î¾ß ÇÒ °ÍÀÌ´Ù. |
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| The impacts of climate change on paddy irrigation water demands in Korea have been analyzed. High-resolution ($27{ imes}27;km$) climate data for the SRES A2 scenario produced by the Korean Meteorological Research Institute (METRI) and the observed baseline climatology dataset were used. The outputs from the ECHO-G GCM model were dynamically downscaled using the MM5 regional model by the METRI. The Geographic information system (GIS) was used to produce maps showing the spatial changes in irrigation water requirements for rice paddies. The results showed that the growing season mean temperature for future scenarios was projected to increase by $1.5^{circ}C$ (2020s), $3.3^{circ}C$ (2050s) and $5.3^{circ}C$ (2080s) as compared with the baseline value (1971~2000). The growing season rainfall for future scenarios was projected to increase by 0.1% (2020s), 4.9% (2050s) and 19.3% (2080s). Assuming cropping area and farming practices remain unchanged, the total volumetric irrigation demand was projected to increase by 2.8% (2020s), 4.9% (2050s) and 4.5% (2080s). These projections are contrary to the previous study that used HadCM3 outputs and projected decreasing irrigation demand. The main reason for this discrepancy is the difference with the projected climate of the GCMs used. The temporal and spatial variations were large and should be considered in the irrigation water resource planning and management in the future. |
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| ±âÈĺ¯È;°ü°³;³í;climate change;GIS;irrigation;paddy;RCM; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.44, no.3, 2011³â, pp.169-177
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201115952331141)
¾ð¾î : ¿µ¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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