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

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Cited articles

Arenas-Calle, L., Sherpa, S., Rossiter, D., Nayak, H., Urfels, A., Kritee, K., Poonia, S., Singh, D. K., Choudhary, A., Dubey, R., Kumar, V., Nayak, A. K., and McDonald, A.: Hydrologic variability governs GHG emissions in rice-based cropping systems of Eastern India, Agr. Water Manage., 301, 108931, https://doi.org/10.1016/j.agwat.2024.108931, 2024. 
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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.
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