Articles | Volume 18, issue 12
https://doi.org/10.5194/gmd-18-3799-2025
https://doi.org/10.5194/gmd-18-3799-2025
Development and technical paper
 | 
27 Jun 2025
Development and technical paper |  | 27 Jun 2025

Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions

Yan Bo, Hao Liang, Tao Li, and Feng Zhou

Viewed

Total article views: 4,581 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,525 824 232 4,581 317 192 311
  • HTML: 3,525
  • PDF: 824
  • XML: 232
  • Total: 4,581
  • Supplement: 317
  • BibTeX: 192
  • EndNote: 311
Views and downloads (calculated since 19 Dec 2024)
Cumulative views and downloads (calculated since 19 Dec 2024)

Viewed (geographical distribution)

Total article views: 4,581 (including HTML, PDF, and XML) Thereof 4,517 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 12 Oct 2026
Download
Short summary
This study proposed an advancing framework for modeling regional rice production, water use, and greenhouse gas emissions. The framework integrated a process-based soil-crop model with vital physiological effects, a novel model upscaling method, and the NSGA-II multi-objective optimization algorithm at a parallel computing platform. The framework provides a valuable tool for multi-objective optimization of rice irrigation schemes at a large scale.
Share