국립환경과학 수질예보시스템의 현재와 미래

Now and Future of Water Quality Forecasting System of National Institute of Environmental Research

  • 신창민 (국립환경과학원 물환경평가연구과) ;
  • 민중혁 (국립환경과학원 물환경평가연구과) ;
  • 김병익 (국립환경과학원 물환경평가연구과) ;
  • 안정민 (국립환경과학원 물환경평가연구과) ;
  • 강태구 (국립환경과학원 물환경평가연구과)
  • 발행 : 2019.06.15

초록

키워드

참고문헌

  1. Choi, J. K., Min, J. H., and Kim, D. W. (2015). Three-dimensional Algal Dynamics Modeling Study in Lake Euiam Based on Limited Monitoring Data, Journal of Korean Society on Water Environment, 31(2), pp. 181-195. https://doi.org/10.15681/KSWE.2015.31.2.181
  2. Kim, K. H., and Park, L. J. (2014). Simulation of algal bloom dynamics in a river with the ensemble Kalman filter, Journal of Hydrology, Vol(519), pp.2810-2821 https://doi.org/10.1016/j.jhydrol.2014.09.073
  3. Kim, S. H., Seo, D. J., Riazi, H., and Shin, C. M.(2014) Improving water quality forecasting via data assimilation - Application of maximum likelihood ensemble filter to HSPF, Journal of Hydrology, Vol(519), pp.2797-2809 https://doi.org/10.1016/j.jhydrol.2014.09.051
  4. Min, J. H., Na, E. H., Kang, M. R., and Kim, K. H. (2011). Spatially Distributed Modeling of Flow and Algal Dynamics in a Dam-Controlled River System, 2011 AGE Fall Meeting, San Francisco, CA, USA, pp. 5-9.
  5. Na, E. H., Shin, C. M., Park, L. J., Kim, D. G., and Kim, K. H. (2014). A Study on the Operational Forecasting of the Nakdong River Flow with a Combined Watershed and Waterbody Model, Journal of Korean Society on Water Environment, 30(1), pp. 16-24. https://doi.org/10.15681/KSWE.2014.30.1.016
  6. National Institute of Environment Research (NIER). (2011). Development of 3-D, Time-Variable Hydrodynamic and Water Quality Model for the Water Quality Forecasting, National Institute of Environment Research.
  7. National Institute of Environment Research (NIER). (2014). An Advanced Research on the Water Quality Forecasting System and the Numerical Models(II), National Institute of Environment Research.
  8. Shin, C. M., Na, E. H., Lee, E. J., Kim, D. G., and Min, J. H. (2013). Operational Hydrological Forecast for the Nakdong River Basin Using HSPF watershed Model, Journal of Korean Society on Water Environment, 29(2), pp. 212-222.
  9. Shin, C. M., Na, E. H., Kim, D. G., and Kim, K. H. (2014). Operational Water Temperature Forecast for the Nakdong River Basin Using HSPF watershed Model, Journal of Korean Society on Water Environment, 30(6), pp. 673-682. https://doi.org/10.15681/KSWE.2014.30.6.673
  10. Shin, C. M., Kim, K, H., Na, E. H., Min, J. H., Park., S. Y., Song, H. O., Weers, A., and Loos, S. (2014). Optimization study of water quality forecasting system, NIER-RP2014-388. National Institute of Environment Research.
  11. Shin, C. M., and Kim, K. H. (2016). Operational Water Quality Forecast for the Nakdong River Basin Using HSPF watershed Model, Journal of Korean Society on Water Environment, 32(6), pp. 570-581. https://doi.org/10.15681/KSWE.2016.32.6.570
  12. Shin, C. M., Min. (2017). Improving HSPF Model's Hydraulic Accuracy with FTABLES Based on Surveyed Cross Sections, Journal of Korean Society on Water Environment, 32(6), pp. 582-588. https://doi.org/10.15681/KSWE.2016.32.6.582
  13. Shin, C. M., Min, J. H., Park, S. Y., Choi, J. K., Kang, M. R., Park, J. H., Song., Y. S., and Kim, K. H. (2017). Operational Water Quality Forecast for the Yeongsan River Using EFDC Model, Journal of Korean Society on Water Environment, 33(2), pp. 219-229. https://doi.org/10.15681/KSWE.2017.33.2.219