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Çѱ¹¼öÀÚ¿øÇÐȸ / v.38, no.8, 2005³â, pp.655-664
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CE-QUAL-W2 ¸ðÇüÀ» ÀÌ¿ëÇÑ Àú¼öÁö ʼöÀÇ ½Ã°ø°£ºÐÆ÷ ¸ðÀÇ
( Simulations of Temporal and Spatial Distributions of Rainfall-Induced Turbidity Flow in a Reservoir Using CE-QUAL-W2 ) |
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Àú¼öÁö¸¦ ÅëÇÑ ¼öÀÚÀ©ÀÇ Áö¼ÓÀû È®º¸¿Í À̿뿡 °É¸²µ¹ÀÌ µÇ°í Àִ Ź¼öÀÇ Àå±â¹ß»ý¹®Á¦¸¦ ±â¼úÀûÀ¸·Î ÇØ°áÇϰíÀÚ ½Ç½Ã°£ ʼö °¨½Ã¿Í ¿¹Ãø½Ã½ºÅÛ(RTMMS)À» ±¸Ãà ÁßÀ̸ç, 2004³â È«¼ö±â µ¿¾È ´ëûȣ¸¦ ´ë»óÀ¸·Î À¯ÀÔÇϴ Ź¼öÀÇ ¼ö¸® ¹× ¼öÁúƯ¼ºÀ» Á¶»çÇϰí 2Â÷¿ø Ⱦ¹æÇâ Æò±Õ ¼ö¸® ¹× ¼öÁú¸ðÇüÀÎ CE-QUAL-W2(W2)¸¦ Àû¿ëÇÏ¿© ʼöÀÇ ¹Ðµµ·ù °Åµ¿°ú ½Ã${cdot}$°ø°£Àû ºÐÆ÷¸¦ ¿¹ÃøÇÏ°í ½ÇÃø°ª°ú ºñ±³ÇÏ¿© ¸ðÇüÀÇ Àû¿ë°¡´É¼ºÀ» Æò°¡ÇÏ¿´´Ù. °¿ì»ç»ó µ¿¾È ÇÏõ ¼ö¿ÂÀº $5{sim}10^{circ}C$ Á¤µµ ÇϰÇÏ¿´À¸¸ç ʼö°¡ Àú¼öÁö³»¿¡¼ ¹Ðµµ·ù¸¦ Çü¼ºÇÏ´Â ¿øÀÎÀ¸·Î ÀÛ¿ëÇß´Ù. Àû¿ëµÈ W2¸ðÇüÀº ¼ö¿ÂÀÇ ¼ºÃþ±¸Á¶ º¯È¿Í ʼöÀÇ Ä§°Á¡, µµ´Þ½Ã°£, ÁßÃþ¹Ðµµ·ù µÎ²² µî ʼöÀÇ °Åµ¿Æ¯¼ºÀ» ºñ±³Àû Àß ¸ðÀÇÇÏ¿´´Ù. ±×·¯³ª ±¹ºÎÀûÀ¸·Î ʼö°¡ À§Ä¡ÇÑ ÁßÃþ°ú ʼö À¯ÀÔ Àü¿¡ Çü¼ºµÇ¾ú´ø ÀüÀÌÃþ¿¡¼ ¼ö¿Â°ú ʵµÀÇ ¸ðÀǰª°ú ½ÇÃø°ªÀÌ À¯ÀÇÇÒ ¸¸ÇÑ ¿ÀÂ÷¸¦ º¸¿´´Ù. ÆæÆ¼¾ö±Þ PC(CPU 2.0GHz)·Î È«¼ö±â Àüü±â°£ ¸ðÀÇ¿¡ ¼Ò¿äµÈ ½Ã°£Àº ¾à 4ºÐÀ¸·Î½á ¸ðÇüÀº °è»êÀÇ È¿À²¼º Ãø¸é¿¡¼ ½Ç½Ã°£ ¸ðÀÇ¿¡ ÀûÇÕÇÑ °ÍÀ¸·Î Æò°¡µÈ´Ù. |
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A real-time monitoring and modeling system (RTMMS) for rainfall-induced turbidity flow, which is one of the major obstacles for sustainable use of reservoir water resources, is under development. As a prediction model for the RTMMS, a laterally integrated two-dimensional hydrodynamic and water quality model, CE-QUAL-W2 was tested by simulating the temperature stratification, density flow regimes, and temporal and spatial distributions of turbidity in a reservoir. The inflow water temperature and turbidity measured every hour during the flood season of 2004 were used as the boundary conditions. The monitoring data showed that inflow water temperature drop by 5 to $10^{circ}C$ during rainfall events in summer, and consequently resulted in the development of density flow regimes such as plunge flow and interflow in the reservoir. The model showed relatively satisfactory performance in replicating the water temperature profiles and turbidity distributions, although considerable discrepancies were partially detected between observed and simulated results. The model was either very efficient in computation as the CPU run time to simulate the whole flood season took only 4 minutes with a Pentium 4(CPU 2.0GHz) desktop computer, which is essentially requited for real-time modeling of turbidity plume. |
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Ű¿öµå |
ʼö;Àú¼öÁö ¹Ðµµ·ù;½Ç½Ã°£ ʼö °¨½Ã ¹× ¿¹Ãø½Ã½ºÅÛ;Turbidity flow;real-time monitoring;reservoir density flow regimes;CE-QUAL-W2;RTMMS; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.38, no.8, 2005³â, pp.655-664
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200531234557777)
¾ð¾î : Çѱ¹¾î |
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³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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