中国农业科学2025，Vol.58Issue(13)：2538-2551,14.DOI:10.3864/j.issn.0578-1752.2025.13.004
基于DNDC和NSGA-Ⅲ耦合模型的旱地春小麦稳产减排多目标优化
Multi-Objective Optimization of Stable Yield and Emission Reduction of Dryland Spring Wheat Based on DNDC and NSGA-Ⅲ.Coupling Model
摘要
Abstract
[Objective]In response to growing food demand and ecological sustainability requirements,this study explored the comprehensive impact of integrated irrigation and fertilization management on spring wheat yield,soil CO2 and N2O emissions fluxes in arid areas of Northwest China,with the aim of identifying optimal irrigation and fertilization strategies to achieve coordinated development of agricultural production and environmental benefits.[Method]Based on the DNDC agricultural ecosystem simulation model,using field trial data from Anjiapo Village,Fengxiang Town,Dingxi City,Gansu Province,from 2021 to 2023,the model was calibrated and validated.Different fertilization levels(0-400 kg·hm-2)and irrigation levels(0-300 mm).The model simulates the response patterns of wheat growth dynamics and soil greenhouse gas(CO2 and N2O)emission fluxes under different irrigation and fertilization management measures.Combining the NSGA-III multi-objective optimization algorithm,a multi-objective optimization framework was established with three objective functions:"maximizing crop yield","minimizing soil CO2 emissions flux",and"minimizing soil N2O emissions flux"as the three objective functions,achieving synergistic optimization between wheat yield enhancement and soil greenhouse gas emission reduction,and determining the optimal management scheme that balances yield and environmental benefits.[Result]The DNDC model effectively simulates spring wheat yield and soil greenhouse gas emission fluxes.Under four fertilization gradient treatments,the normalized root mean square error(NRMSE)for yield,soil CO2 emissions,and N2O emissions over three years was 17.4%-18.8%,7.62%-11.41%,and 9.19%-12.47%,respectively.Under two irrigation treatments,the normalized root mean square error NRMSE for yield over three years was 13.3%-17.2%.The optimized irrigation and fertilization rates indicate that when fertilization is controlled at 150-180 kg·hm-2 and irrigation volume is 110-150 mm,wheat yield can be increased to 2 088.48 kg·hm-2,while soil CO2 emissions flux is controlled at 4 998.87-5 011.5 kg·hm-2 per year,and soil N2O emission flux is controlled at 4.06-4.14 kg·hm-2 per year.[Conclusion]Coupling the DNDC model with the NSGA-III algorithm enables the simultaneous optimization of spring wheat yield and soil greenhouse gas emissions fluxes in dryland areas.When the irrigation amount is set between 110-150 mm and nitrogen application rate between 150-180 kg·hm-2,it is possible to maintain stable yields while effectively controlling soil CO2 and N2O emission fluxes.This provides a scientific basis for achieving both yield stability and emission reduction in dryland spring wheat systems in central Gansu.关键词
春小麦/产量/DNDC模型/NSGA-Ⅲ/温室气体排放/多目标优化算法Key words
spring wheat/yield/DNDC model/NSGA-Ⅲ/greenhouse gas emissions/multi-objective optimization algorithm引用本文复制引用
曹景文,聂志刚,李广,杨洁..基于DNDC和NSGA-Ⅲ耦合模型的旱地春小麦稳产减排多目标优化[J].中国农业科学,2025,58(13):2538-2551,14.基金项目
国家自然科学基金(32160416,32360438)、甘肃省拔尖领军人才项目(GSBJLJ-2023-09)、2025年甘肃省高校研究生"创新之星"项目(2025CXZX-797) （32160416,32360438）
