作物研究2025，Vol.39Issue(6)：523-530,8.
旱地麦田N2O排放的水氮模拟调控
Simulation and Regulation of Water and Nitrogen for N2O Emissions in Rain-Fed Wheat Fields
摘要
Abstract
To scientifically evaluate the effects of water and nitrogen regulation measures on N2O emission characteristics from spring wheat in dryland farming areas,the Parrot Algorithm was employed in conjunction with the Agricultural Production Systems Simulation Model(APSIM).By integrating field observation data from 2021 and daily meteorological data from 1991 to 2021 in the Dingxi dryland agricultural region of Gansu Province,gradients of different nitrogen application rates and supplementary irrigation levels were established to simulate and analyze the response patterns of N2O emissions under coupled water-nitrogen conditions.The results indicated that the APSIM model demonstrated good fit and high accuracy in simulating N2O emissions under different nitrogen application and irrigation treatments.The model's normalized root mean square error(NRMSE)ranged from 15.52%to 26.36%,the coefficient of determination(R2)ranged from 0.69 to 0.81,and the agreement index(D)varied between 0.79 and 0.83.As the nitrogen application rate or supplementary irrigation amount increased,different water-nitrogen combinations significantly influenced N2O emission characteristics.When supplementary irrigation was maintained at 105 mm with a nitrogen application rate of 118 kg/hm2,N2O emissions were 5.51 kg/hm2.When the nitrogen application rate was maintained at 154 kg/hm2 with supplementary irrigation of 125.90 mm,N2O emissions were 2.83 kg/hm2.Under the combined influence of both nitrogen application and irrigation,with a nitrogen application rate of 135.79 kg/hm2 and supplementary irrigation of 87.96 mm,N2O emissions were only 1.82 kg/hm2.The advantage of the Parrot Algorithm lies in its efficient and convenient optimization capability,enabling the rapid identification of the optimal water-nitrogen combination.Consequently,the coordinated water-nitrogen regulation based on this approach not only significantly reduced N2O emissions from the dryland spring wheat field but also substantially enhanced the precision and efficiency of management practices.关键词
春小麦/旱地/灌溉/施氮/模拟调控/N2O排放Key words
spring wheat/dryland/irrigation/nitrogen application/simulated control/N2O emissions分类
农业科技引用本文复制引用
管润秋,董莉霞,李广,袁建钰..旱地麦田N2O排放的水氮模拟调控[J].作物研究,2025,39(6):523-530,8.基金项目
国家自然科学基金(32360438) （32360438）
甘肃省自然科学基金(25JRRA356) （25JRRA356）
甘肃省高校教师创新基金(2025A-094) （2025A-094）
甘肃省科技重大专项计划(25ZDFA011) （25ZDFA011）
中央引导地方科技发展资金项目(25ZYJA035). （25ZYJA035）
