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Çѱ¹¼öÀÚ¿øÇÐȸ / v.9, no.2, 1976³â, pp.87-100
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Simulation Technique¿¡ ÀÇÇÑ ¼öÀÚ¿øÀÇ º¯µ¿¾ç»ó ¹× ±× ¸ðÀǹ߻ý¸ðµ¨¿¡ °üÇÑ ¿¬±¸
( Studies on the Variation Pattern of Water Resources and their Generation Models by Simulation Technique ) |
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| º» ¿¬±¸´Â ¿ì¸®³ª¶óÀÇ ÇѰ, ³«µ¿°, ±Ý° ¹× ¿µ»ê°À¯¿ªÀ» Æ÷ÇÔÇÑ ±¤¿ªÀûÀÎ ÇÏõÀ¯¿ª¿¡ ÀÖ¾î¼ÀÇ ³â ¹× ¿ùÀ¯·®°ú Ç׿췮¿¡ ´ëÇÏ¿© Correlogram ¹× Spectrum ºÐ¼®À» ÅëÇÑ ½Ã°è¿ÀÇ ÇØ¼®°ú ±× º¯µ¿¾ç»óÀ» ±¸¸íÇϰí ÀÌ Æ¯¼ºÀ» ±âÃÊ·Î ÇØ¼ ³â ¹× ¿ù¼ö¹®·®ÀÇ Àå±â°£ÀÇ SimulationÀ» À§ÇÑ Ãß°èÇÐÀû¸ðµ¨ÀÇ °³¹ß°ú °ËÅä¿¡ ±× ¸ñÀûÀ» µÎ¾ú´Ù. ¸ÕÀú ¼ö¹®·®ÀÇ º¯µ¿¾ç»óÀÇ ºÐ¼®¿¡ À־ ¹Ì±¹, À¯·´ ¹× È£ÁÖ´ë·úÀÇ À¯·®ºÐ¼®ÀÇ °á°ú¿Í ´ëºñÇÏ¸é¼ À¯·®¸ðÁý´ÜÀÇ Ç¥ÁØÆíÂ÷($sigma$)¸¦ ³âÀ¯·®ÀÇ ´ë¼öÆò±ÕÄ¡(L)¿¡ ´ëÇÏ¿© Áö¼öÇÔ¼öÀÇ °ü°è½ÄÀ¸·Î Ç¥½ÃÇÏ¿© ¼öÀÚ¿ø·®ÀÇ º¯µ¿¾ç»óÀ» ±¸¸íÇÏ¿´´Ù. ´ÙÀ½ ³â¼ö¹®·®(À¯·® ¹× Ç׿췮)ÀÇ ½Ã°è¿ÀÇ °¢ ¼ººÐÀ» ¾Ë±â À§ÇÏ¿© Correlogram ¹× Spectral densityºÐ¼®À» ÇàÇÏ¿´À¸¸ç, ±× SimulationÀ» À§ÇÑ ´ÜÀÏÀÌÀý ¸ðµ¨·Î¼´Â ³â¼ö¹®·®ÀÇ ÀûÁ¤ºÐÆ÷ÇüÀÎ ´ë¼öÁ¤±ÔºÐÆ÷¿Í Monte Carlo ¹æ¹ý¿¡ ±âÃʸ¦ µÐ LN¸ðµ¨(Log-Normal Model)°ú 1Â÷¼±Çü ÀÚ±âȸ±Í¸ðµ¨ÀÎ Markov¸ðµ¨À» ¼³Á¤ÇÏ¿© ºñ±³.°ËÅäÇÏ¿´´Ù. ´ÙÀ½À¸·Î ¿ù¼ö¹®·®(À¯·® ¹× Ç׿췮)ÀÇ ½Ã°è¿ ¹× Ãß°èÇÐÀû ¼ººÐ ¿ª½Ã Correlogram ¹× Spectral densityºÐ¼®¿¡ ÀÇÇÏ¿© ±¸¸íÇÏ¿´À¸¸ç, ±× Simulation¿¡ À־ ÀÌ ½Ã°è¿Æ¯¼º°ú ³«µ¿° ÀÚ·á¿¡ ÀÇÇÏ¿© ¿¬±¸, °ËÅäµÈ ¹Ù ÀÖ´Â »óÀ¯Ãµ ¿ùÀ¯·®ÀÇ ¸ðÀǹ߻ý¸ðµ¨À» ±¤¿ªÀûÀ¸·Î Àû¿ë½ÃŰ°í ¶ÇÇÑ ¿ùÇ׿췮¿¡ ´ëÇØ¼µµ Àû¿ë½ÃÄѼ ÀÌ ¸ðµ¨ÀÇ Àû¿ë¼º°ú ¾Æ¿ï·¯ ±¤¿ªÀûÀÎ ¿ù¼ö¹®·®ÀÇ ¸ðÀǹ߻ý¸ðµ¨À» È®¸³Åä·Ï ÇÏ¿´´Ù. |
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| These studies are aimed at the analysis of systematic variation pattern of water resources in Korean river catchments and the development of their simulation models from the stochastic analysis of monthly and annual hydrologic data as main elements of water resources, i.e. rainfall and streamflow. In the analysis, monthly & annual rainfall records in Soul, Taegu, Pusan and Kwangju and streamflow records at the main gauging stations in Han, Nakdong and Geum river were used. Firstly, the systematic variation pattern of annual streamflow was found by the exponential function relationship between their standard deviations and mean values of log-annual runoff. Secondly, stochastic characteristics of annual rainfall & streamflow series were studied by the correlogram Monte Carlo method and a single season model of 1st-order Markov type were applied and compared in the simulation of annual hydrologic series. In the simulation, single season model of Markov type showed better results than LN-model and the simulated data were fit well with historical data. But it was noticed that LN-model gave quite better results in the simulation of annual rainfall. Thirdly, stochastic characteristics of monthly rainfall & streamflow series were also studied by the correlogram and spectrum analysis, and then the Model-C, which was developed and applied for the synthesis of monthly perennial streamflow by lst author and is a Markov type model with transformed skewed random number, was used in the simulation of monthly hydrologic series. In the simulation, it was proved that Model-C was fit well for extended area in Korea and also applicable for menthly rainfall as well as monthly streamflow. |
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Çѱ¹¼öÀÚ¿øÇÐȸÁö / v.9, no.2, 1976³â, pp.87-100
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1738-9488
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO197611920089081)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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