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

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

doi:https://doi.org/10.5194/gmd-18-3799-2025

Articles | Volume 18, issue 12

https://doi.org/10.5194/gmd-18-3799-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-3799-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 12

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

Supplement

https://doi.org/10.5194/gmd-18-3799-2025-supplement

Data sets

GAEZ+_2015 Crop Harvest Area S. Frolking et al. https://doi.org/10.7910/DVN/KAGRFI

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Global High-Resolution Soil Profile Database for Crop Modeling Applications E. Han et al. https://doi.org/10.7910/DVN/1PEEY0

GGCMI Phase 3 crop calendar J. Jägermeyr et al. https://doi.org/10.5281/zenodo.5062513

Model code and software

Codes for running WHCNS to simulate rice yield, irrigation water use, methane and nitrous oxide Yan Bo https://figshare.com/s/139f3ad8a70faa99724d

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.