¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹¼öÀÚ¿øÇÐȸ / v.44, no.5, 2011³â, pp.377-388
°íÁ¤½Ä Ç¥¸é¿µ»óÀ¯¼Ó°è (FSIV)¸¦ ÀÌ¿ëÇÑ ½Ç½Ã°£ ÇÏõ À¯·® »êÁ¤
( Real-time Discharge Measurement of the River Using Fixed-type Surface Image Velocimetry )
±è¼­ÁØ;·ù±Ç±Ô;À±º´¸¸; ¸íÁö´ëÇб³ Åä¸ñȯ°æ°øÇаú;µ¿ÀÇ´ëÇб³ Åä¸ñ°øÇаú;¸íÁö´ëÇб³ Åä¸ñȯ°æ°øÇаú;
 
ÃÊ ·Ï
Ç¥¸é¿µ»óÀ¯¼Ó°è(SIV)´Â ¿µ»ó ºÐ¼® ±â¹ýÀ» ÀÌ¿ëÇÏ¿© ÇÏõÀÇ Ç¥¸éÀ¯¼ÓÀ» ÃøÁ¤Çϰí, À̸¦ Åä´ë·Î À¯·®À» »êÁ¤ÇÏ´Â ½Ã½ºÅÛÀÌ´Ù. º» ¿¬±¸¿¡¼­´Â °íÁ¤½Ä Ç¥¸é¿µ»óÀ¯¼Ó°è(FSIV) ½Ã½ºÅÛÀ» ´Þõ ¼öÀü±³¿¡ ¼³Ä¡ÇÏ¿© ½Ç½Ã°£À¸·Î ¿¬¼ÓÀûÀÎ À¯·® ÃøÁ¤À» ½Ç½ÃÇÏ¿´´Ù. ¼öÀü±³¿¡ Àû¿ëµÈ FSIVÀÇ Çϵå¿þ¾î ½Ã½ºÅÛÀº ¿µ»ó ȹµæÀ» À§ÇÑ 2´ëÀÇ µðÁöÅÐ Ä«¸Þ¶ó¿Í ÄÄÇ»ÅÍ, ±×¸®°í ¼öÀ§ ÃøÁ¤À» À§ÇÑ ÃÊÀ½ÆÄ ¼öÀ§°è·Î ±¸¼ºµÈ´Ù. ÀÌ ÇöÀå Àåºñµé¿¡¼­ ȹµæµÈ ½Ç½Ã°£ ¿µ»ó°ú ¼öÀ§ ÀÚ·á´Â ¹«¼±ÀÎÅͳÝÀ» ÀÌ¿ëÇÏ¿© ½Ç½Ã°£À¸·Î ȨÆäÀÌÁö¿¡ Àü¼ÛµÇ¸ç, Ç¥¸é¿µ»óÀ¯¼ÓºÐ¼® ¼ÒÇÁÆ®¿þ¾î¸¦ ÀÌ¿ëÇÏ¿© À¯·®À» »êÁ¤ÇÑ´Ù. FSIV¿¡ ÀÇÇÑ À¯·®»êÁ¤ °á°ú´Â Á÷»ó·ùÀÇ ±«»ê´ï ¹æ·ù·®°ú FSIV¿Í µ¿ÀÏÇÑ ÁöÁ¡¿¡ ¼³Ä¡µÈ Acoustic Doppler Velocity Meter (ADVM)¸¦ ¼³Ä¡ÇÑ ÈÄ À¯¼ÓÁö¼ö¹ýÀ¸·Î »êÁ¤µÈ À¯·®°ú ºñ±³ÇÏ¿© °ËÅäÇÏ¿´´Ù. ´ï ¹æ·ù·®°ú ºñ±³ÇÑ °á°ú 30$m^3/s$ ÀÌ»óÀÇ À¯·®¿¡¼­´Â ´ëºÎºÐ 5~10%ÀÇ ¿ÀÂ÷¸¦ º¸¿´À¸¸ç, ADVMÀ» ÀÌ¿ëÇÏ¿© ÃøÁ¤µÈ À¯·®°ú ºñ±³ÇÑ °á°ú´Â ¾à 200$m^3/s$ ÀÌ»óÀÇ À¯·®¿¡¼­´Â ¿ÀÂ÷°¡ ¾à 5 % À̳»·Î È®ÀεǾú´Ù. FSIVÀÇ ¼³Ä¡ °æºñ¿Í ¿î¿ë¿¡ µå´Â ºñ¿ë°ú ÀηÂÀ» °¨¾ÈÇÑ´Ù¸é, FSIV´Â ½Ç½Ã°£À¸·Î À¯·®À» °üÃøÇÒ ¼ö ÀÖ´Â ÁÁÀº ´ë¾ÈÀÌ µÉ °ÍÀ¸·Î ÆÇ´ÜµÈ´Ù.
Surface Image Velocimetry (SIV) is a recently-developed discharge measurement instrument. It uses image processing techniques to measure the water surface velocity and estimate water discharge with given cross section. The present study aims to implement a FSIV (Fixed-type Surface Image Velocimetry) at Soojeon Bridge in the Dalcheon. The hardware system consists of two digital cameras, a computer, and a pressure-type water stage gauge. The images taken with the hardware system are sent to a server computer via a wireless internet, and analyzed with a image processing software (SIV software). The estimated discharges were compared with the observed discharges through Goesan dam spillway and index velocity method using ADVM. The computed results showed a good agreement with the observed one, except for the night time. The results compared with discharges through Goesan dam spillway reached around 5~10% in the case of discharge over 30 m3/s, and the results compared with discharges through index velocity method using ADVM reached around 5% in the case of discharge over 200 $m^3/s$. Considering the low cost of the system and the visual inspection of the site situation with the images, the SIV would be fairly good way to measure water discharge in real time.
 
Ű¿öµå
°íÁ¤½Ä Ç¥¸é¿µ»óÀ¯¼Ó°è;½Ç½Ã°£ À¯·®»êÁ¤;¿µ»óºÐ¼®;´ÙÁßÄ«¸Þ¶ó;fixed-type surface image velocimetry(FSIV);real-time discharge measurement;image analysis;multi camera;
 
Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.44, no.5, 2011³â, pp.377-388
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO201118834665918)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿