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Identify the optimization strategy of nitrogen fertilization level based on trade-off analysis between rice production and greenhouse gas emission

机译:根据水稻生产与温室气体排放之间的权衡分析,确定氮肥水平的优化策略

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Application of nitrogen (N) fertilizer increases grain yield and soil organic carbon (SOC) sequestration, but accompanied by the emission of greenhouse gas (GHG) especially nitrous oxide (N2O). To spatial-temporally analyze the trade-off between yield and GHG emissions under different N fertilization levels at regional scale, this study integrated geographic information system (GIS) and the DeNitrification-DeComposition (DNDC, Version 9.5) model to define the impacts of different N fertilization levels on rice production, SOC sequestration, and GHG emission in Fuyang District, a county-scale region in Eastern China. The whole region was divided into 28825 polygon-based modeling units based on heterogeneity of soil property, climate and agricultural management conditions. After validating the DNDC model by field observation data of the year 1979 and 2015, five N fertilization levels (0, 140, 210, 280 and 350 kg N ha(-1)) from the year 2016-2035 were designed for simulating the rice yield, SOC sequestration, N2O and methane (CH4) emissions. Validation results showed a good performance of the refined DNDC model. Simulation results indicated that yield and GHG emission increased with the growth of N fertilization rate, but the SOC sequestration change was not noticeable. Around 210 kg N ha(-1) was recommended as optimal N fertilization level in Fuyang District, because its global warming potential intensity (GWPI) was the lowest among all the N fertilization levels. As excessive N input is a common problem across China, our results provide a case for a win-win scenario for both food security and environmental friendliness. (C) 2019 Published by Elsevier Ltd.
机译:氮肥的施用增加了谷物的产量和土壤有机碳的固存,但同时伴有温室气体(GHG)尤其是一氧化二氮(N2O)的排放。为了时空分析区域范围内不同氮肥水平下产量与温室气体排放之间的权衡,本研究综合了地理信息系统(GIS)和脱硝化分解(DNDC,版本9.5)模型,以定义不同影响富阳地区(中国东部县域地区)的氮肥水平对水稻生产,SOC隔离和温室气体排放的影响。根据土壤属性,气候和农业管理条件的异质性,将整个区域划分为基于28825个多边形的建模单元。在通过1979年和2015年的实地观测数据验证DNDC模型后,设计了2016-2035年的五个氮肥水平(0、140、210、280和350 kg N ha(-1))来模拟水稻产量,SOC隔离,N2O和甲烷(CH4)排放。验证结果表明,改进后的DNDC模型具有良好的性能。模拟结果表明,产量和温室气体排放量随氮肥施用量的增加而增加,但SOC固存变化不明显。阜阳地区建议将210 kg N ha(-1)作为最佳氮肥水平,因为其全球变暖潜势强度(GWPI)在所有氮肥水平中最低。由于过量的氮输入是整个中国的普遍问题,因此我们的结果为食品安全和环境友好的双赢方案提供了依据。 (C)2019由Elsevier Ltd.发布

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