Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
권호 표지
DOI QR코드

DOI QR Code

Flood Runoff Measurements using Surface Image Velocimetry

표면영상유속계(SIV)를 이용한 홍수유출량 측정

  • Kim, Yong-Seok (Department of Civil Engineering, Jeju National University) ;
  • Yang, Sung-Kee (Department of Civil Engineering, Jeju National University) ;
  • Yu, Kwon-Kyu (Department of Civil Engineering, Dong-eui University) ;
  • Kim, Dong-Su (Department of Civil & Env. Engineering, Dankook University)
  • Received : 2012.11.12
  • Accepted : 2013.04.05
  • Published : 2013.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Surface Image Velocimetry(SIV) is an instrument to measure water surface velocity by using image processing techniques. Since SIV is a non-contact type measurement method, it is very effective and useful to measure water surface velocity for steep mountainous streams, such as streams in Jeju island. In the present study, a surface imaging velocimetry system was used to calculate the flow rate for flood event due to a typhoon. At the same time, two types of electromagnetic surface velocimetries (electromagnetic surface current meter and Kalesto) were used to observe flow velocities and compare the accuracies of each instrument. The comparison showed that for velocity distributions root mean square error(RMSE) was 0.33 and R-squared was 0.72. For discharge measurements, root mean square error(RMSE) reached 6.04 and R-squared did 0.92. It means that surface image velocimetry could be used as an alternative method for electromagnetic surface velocimetries in measuring flood discharge.

Keywords

References

  1. Kim, S. J., Ryu, K. G., Youn, B. M., 2011, Real-time Discharge Measurement of the River Using Fixed-type Surface Image Velocimetry, Mag. Korea Water Resour. Assoc., 44(5), 377-388. https://doi.org/10.3741/JKWRA.2011.44.5.377
  2. Kim, S. J., 2008, The Accuracy Analysis of Discharge Measurement Technique using Surface Image Velocimetry, M. Sc. Dissertation, Myoungji Univercity. Korea.
  3. Lee, J. S., and Julien, P. Y., 2006, Electromagnetic Wave Surface Velocimetry, J. Hydraul. Eng., 132(2), 146-153. https://doi.org/10.1061/(ASCE)0733-9429(2006)132:2(146)
  4. Lee, S. H., Kim, W. G., Kim, Y. S., 1997, Practical Aspects of Microwave Surface Velocity Meter Applied to Measurements of Stream Discharges, Mag. Korea Water Resour. Assoc., 30(6), 671-678.
  5. No, Y. S., Yun, B. M., Yu, K. K., 2005, Estimatation of Mean Velocity from Surface Velocity, Mag. Korea Water Resour. Assoc., 38(11), 917-925. https://doi.org/10.3741/JKWRA.2005.38.11.917
  6. Yu, K. K., Kim, D. S., Yun, B. M., 2005, Development of Fast and Exact FFT Algorithm for Cross-Correlation PIV, Mag. Korea Water Resour. Assoc., 38(10), 851-859. https://doi.org/10.3741/JKWRA.2005.38.10.851
  7. Yang, S. K., Kim, D. S., Yu, K. K., Kang, M. S., Jung, W. Y., Lee, J. H., Kim, Y. S., You, H. J., 2012, Comparison of Flood Discharge and Velocity Measurements in a Mountain Stream Using Electromagnetic Wave and Surface Image, J. Environ. Sci., 21(6), 739-747.
  8. Yang, S. K., Kim, D. S., Jung, W. Y., Yu, K. K., 2011, Analysis and Comparison of Stream Discharge Measurements in Jeju Island Using Various Recent Monitoring Techniques, J. Environ. Sci., 20(6), 738-788.
  9. Yang, S. K., 2007, River Management and Improvement of Jeju Island, Assoc. Korea Rivers, 3(4), 104-115.

Cited by

  1. Flood Runoff Calculation using Disaster Monitoring CCTV System vol.23, pp.4, 2014, https://doi.org/10.5322/JESI.2014.4.571
  2. Calculation of the Flood Runoff of the River with Imaging Equipments vol.23, pp.4, 2014, https://doi.org/10.5322/JESI.2014.4.585
  3. Comparative Analysis of Day and Night Time Video Accuracy to Calculate the Flood Runoff Using Surface Image Velocimeter (SIV) vol.24, pp.4, 2015, https://doi.org/10.5322/JESI.2015.24.4.359
  4. A Proposal of Unit Hydrograph Using Statistical Analysis in Oedo Stream, Jeju vol.24, pp.4, 2015, https://doi.org/10.5322/JESI.2015.24.4.393