Articles | Volume 374
Proc. IAHS, 374, 175–185, 2016
https://doi.org/10.5194/piahs-374-175-2016
Proc. IAHS, 374, 175–185, 2016
https://doi.org/10.5194/piahs-374-175-2016
 
17 Oct 2016
17 Oct 2016

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

Jaepil Cho et al.

Viewed

Total article views: 1,398 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
571 767 60 1,398 84 91
  • HTML: 571
  • PDF: 767
  • XML: 60
  • Total: 1,398
  • BibTeX: 84
  • EndNote: 91
Views and downloads (calculated since 17 Oct 2016)
Cumulative views and downloads (calculated since 17 Oct 2016)

Viewed (geographical distribution)

Total article views: 1,209 (including HTML, PDF, and XML) Thereof 1,206 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Jul 2022
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.