Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 研究生部

	Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment
	Xing, Hongtao(邢洪涛) ; Wang, EL ; Smith, CJ ; Rolston, D ; Yu, Q
刊名	GEODERMA
	2011
卷号	167-68 期号:0 页码:328-339
关键词	Nitrous oxide emission APSIM DAYCENT Decomposition CO2 flux
通讯作者	Wang, EL
英文摘要	Nitrous oxide (N(2)O), one of the primary green house gases (GHG), is an important contributor to the radiative forcing and chemistry of the atmosphere. Nitrous oxide emissions from soil are mainly due to denitrification. In this paper, we test sub-modules in the APSIM and DAYCENT models to simulate denitrification. The models were tested by comparison of predicted and measured N(2)O emission from an incubation experiment using 8.2 L soil cores. The N gas sub-modules in DAYCENT were based on the leaky pipe metaphor, that is, total N gas emissions are proportional to N cycling and gas diffusivity in the soil determines the relative amounts of N gas species emitted. The same approach was added to APSIM to enable simulation of N(2)O emission. The soil monoliths were irrigated three times during a two-week period and set on tension tables to control the suction at the base of each core. The results show that APSIM underestimates denitrification, whereas DAYCENT better predicted N(2)O emission from denitrification. In contrast, predictions of CO(2) emissions were better from APSIM than DAYCENT. Modification to the temperature response for denitrification in APSIM improved the simulation significantly. The use of multiple soil layers in the simulations improved predictions, especially at low soil moisture content. Under these conditions, the layered approach better captures the impact of soil moisture distribution. Reducing the time step to hourly improve the prediction of N(2)O peaks and the daily total emissions, but there were still temporal mismatches between simulated and observed values. The denitrification algorithms in DAYCENT, combined with APSIM simulated CO(2), together with an hourly time step and a layered approach, produced the best results. These results highlight the need for improvement to the APSIM denitrification sub-model.
收录类别	SCI
资助信息	CSIRO-MOE (Ministry of Education, China)
公开日期	2012-04-20
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/8507]
专题	地理科学与资源研究所_研究生部
推荐引用方式 GB/T 7714	Xing, Hongtao,Wang, EL,Smith, CJ,et al. Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment[J]. GEODERMA,2011,167-68(0):328-339.
APA	Xing, Hongtao,Wang, EL,Smith, CJ,Rolston, D,&Yu, Q.(2011).Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment.GEODERMA,167-68(0),328-339.
MLA	Xing, Hongtao,et al."Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment".GEODERMA 167-68.0(2011):328-339.