陈粲;包云轩;吕青;唐倩;

• 1:南京信息工程大学应用气象学院

摘要(Abstract)：

利用2013年吴江试验区水稻种植季定点、连续监测N_2O气体排放量数据、气象数据、土壤理化性质等资料,运用DNDC模型(脱氮-分解模型)研究该模型是否可以预测不同秸秆还田填埋深度下N_2O排放速度、排放总量和排放变化趋势,并对影响N_2O排放的主要因子进行了灵敏度分析。结果表明,DNDC模型可以对不同秸秆还田填埋深度下N_2O的排放速度、排放总量和变化趋势进行模拟;年平均温度、土壤pH、土壤有机碳含量、施肥量和秸秆还田量对不同秸秆还田填埋深度下N_2O气体排放非常敏感。

关键词(KeyWords)： DNDC模型;秸秆还田;填埋深度;农田N2O气体;排放

Abstract:

Keywords:

基金项目(Foundation): 江苏省自然科学基金青年基金项目(SBK2015040286);; 南京信息工程大学学校人才启动费项目(2241021301111);; 中国博士后基金项目(158105);; 中科院南京土壤研究所开放基金项目(Y20160038);; 2016年南京信息工程大学大学生创新训练项目(1212071601197)

作者(Author): 陈粲;包云轩;吕青;唐倩;

Email:

DOI: 10.13989/j.cnki.0517-6611.2018.14.018

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