Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-735-2017
https://doi.org/10.5194/hess-21-735-2017
Research article
 | 
03 Feb 2017
Research article |  | 03 Feb 2017

Large-watershed flood forecasting with high-resolution distributed hydrological model

Yangbo Chen, Ji Li, Huanyu Wang, Jianming Qin, and Liming Dong

Viewed

Total article views: 3,354 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,886 1,234 234 3,354 84 116
  • HTML: 1,886
  • PDF: 1,234
  • XML: 234
  • Total: 3,354
  • BibTeX: 84
  • EndNote: 116
Views and downloads (calculated since 26 Sep 2016)
Cumulative views and downloads (calculated since 26 Sep 2016)

Viewed (geographical distribution)

Total article views: 3,354 (including HTML, PDF, and XML) Thereof 3,214 with geography defined and 140 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
The distributed hydrological model has not yet been applied in large watershed flood forecasting due to some limitations. By proposing a method for estimating channel cross section size with remote sensing data, employing the PSO algorithm optimize model parameters and running the model on high-performance supercomputer with parallel computation technique, this article successfully applied the Liuxihe model in a larger watershed flood forecasting in southern China at high resolution.