영상기반 도시홍수 모니터링 기술의 현재와 미래

  • 노성진 (금오공과대학교 토목공학과)
  • Published : 2022.08.31

Abstract

Keywords

References

  1. 이신재, 김치영, 조효섭, 2020. 도시홍수 관리를 위한 수문조사 현황 및 개선 방안. 물과미래, 한국 수자원학회, Vol. 53, No. 2.
  2. Biggs, H.J., Smith, B., Detert, M., Sutton, H., 2022. Surface image velocimetry: Aerial tracer particle distribution system and techniques for reducing environmental noise with coloured tracer particles. River Research and Applications 38, 1192-1198. https://doi.org/10.1002/rra.3973
  3. Cierpka, C., Otto, H., Poll, C., Huther, J., Jeschke, S., Mader, P., 2021. SmartPIV: flow velocity estimates by smartphones for education and field studies. Exp Fluids 62, 172. https://doi.org/10.1007/s00348-021-03262-z
  4. Helmrich, A.M., Ruddell, B.L., Bessem, K., Chester, M.V., Chohan, N., Doerry, E., Eppinger, J., Garcia, M., Goodall, J.L., Lowry, C., Zahura, F.T., 2021. Opportunities for crowdsourcing in urban flood monitoring. Environmental Modelling & Software 143, 105124. https://doi.org/10.1016/j.envsoft.2021.105124
  5. Le Boursicaud, R., Penard, L., Hauet, A., Thollet, F., Le Coz, J., 2016. Gauging extreme floods on YouTube: application of LSPIV to home movies for the post-event determination of stream discharges. Hydrological Processes 30, 90-105. https://doi.org/10.1002/hyp.10532
  6. Leitao, J.P., Pena-Haro, S., Luthi, B., Scheidegger, A., Moy de Vitry, M., 2018. Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry. Journal of Hydrology 565, 791-804. https://doi.org/10.1016/j.jhydrol.2018.09.001
  7. Lin, Y.-T., Lin, Y.-C., Han, J.-Y., 2018. Automatic water-level detection using single-camera images with varied poses. Measurement 127, 167-174. https://doi.org/10.1016/j.measurement.2018.05.100
  8. Muhadi, N.A., Abdullah, A.F., Bejo, S.K., Mahadi, M.R., Mijic, A., 2021. Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera. Applied Sciences 11, 9691. https://doi.org/10.3390/app11209691
  9. Wu, Y.C., Noh, S.J., Ham, S., 2020. Identification of Inundation Using Low-Resolution Images from Traffic-Monitoring Cameras: Bayes Shrink and Bayesian Segmentation. Water 12, 1725. https://doi.org/10.3390/w12061725
  10. Zhao, H., Chen, H., Liu, B., Liu, W., Xu, C.-Y., Guo, S., Wang, J., 2021. An improvement of the Space-Time Image Velocimetry combined with a new denoising method for estimating river discharge. Flow Measurement and Instrumentation 77, 101864. https://doi.org/10.1016/j.flowmeasinst.2020.10186