한국농공학회지 (Magazine of the Korean Society of Agricultural Engineers)

한국농공학회 (The Korean Society of Agricultural Engineers)
권호 표지

선제적 도시침수 대응을 위한 시나리오 기반에서 실시간 예측으로의 변화

  • 발행 : 2019.08.31
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참고문헌

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  2. Jang, S.M., Park, K.W. and Yoon, S.K. (2016) A Multi-sensor based Very Short-term Rainfall Forecasting using Radar and Satellite Data: A Case Study of the Busan and Gyeongnam Extreme Rainfall in August, 2014. Korean J. Remote Sens., Vol. 32, No. 2, pp. 155-169. (in Korean) https://doi.org/10.7780/kjrs.2016.32.2.8
  3. Jung, S.H., Lee, D.U. and Lee. K.S. (2018) Prediction of river water level using deep-learning open library, J. Korean Society of Hazard Mitigation., Vol. 18, No.1, pp. 1-11. (in Korean) https://doi.org/10.9798/KOSHAM.2018.18.1.1
  4. Lee, S.S., Nakagawa, H., Kawaike, K. and Zhang, H.(2013) Study on Development of Sewer Pipe Analysis Model Considering Manhole Head Losses, Annual Journal of Hydraulic Engineering, JSCE, Vol.70, pp.I-97-1-102(CD-ROM).
  5. Noh, S.J., Lee, J. H., Lee, S.S., Kawaike, K. and Seo, D. J. (2018) Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization, Environmental Modelling & Software. Vol. 103, pp. 131-145 https://doi.org/10.1016/j.envsoft.2018.02.008
  6. Noh, S.J., Lee, S., An, H., Kawaike, K., & Nakagawa, H. (2016). Ensemble urban flood simulation in comparison with laboratory-scale experiments: Impact of interaction models for manhole, sewer pipe, and surface flow. Advances in water resources, Vol.97, pp. 25-37. https://doi.org/10.1016/j.advwatres.2016.08.015
  7. Rinehart, R.E. and Garvey, T. (1978). Three dimensional storm motion detection by conventional weather radar, Nature, 273: 287-289. https://doi.org/10.1038/273287a0
  8. Steiner, M., Houze, R.A. and Yuter, S.E. (1995) Climatological characterization of three-dimensional storm structure from operational radar and rain gauge data. J. Appl. Meteor., Vol. 34, 1978-2007. https://doi.org/10.1175/1520-0450(1995)034<1978:CCOTDS>2.0.CO;2