Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 374
Articles | Volume 374
https://doi.org/10.5194/piahs-374-175-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/piahs-374-175-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 374
17 Oct 2016
 | 17 Oct 2016

Development of an integrated method for long-term water quality prediction using seasonal climate forecast

Jaepil Cho, Chang-Min Shin, Hwan-Kyu Choi, Kyong-Hyeon Kim, and Ji-Yong Choi

Viewed

Total article views: 1,722 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
778 863 81 1,722 106 108
  • HTML: 778
  • PDF: 863
  • XML: 81
  • Total: 1,722
  • BibTeX: 106
  • EndNote: 108
Views and downloads (calculated since 17 Oct 2016)
Cumulative views and downloads (calculated since 17 Oct 2016)

Viewed (geographical distribution)

Total article views: 1,523 (including HTML, PDF, and XML) Thereof 1,520 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Nov 2024
Download
Short summary
An integrated approach for water quality prediction was presented. Four different downscaling methods, in accordance with the degree of utilizing the seasonal climate prediction information, were developed in order to improve predictability and to refine the spatial scale. Then, a sampling-based temporal downscaling was conducted in order to create daily weather inputs to the SWAT model. Finally, modeling-based predictability was evaluated by using 3-month lead prediction data using SWAT.
Read more