Knowledge Management System Of Institute Of Botany,CAS
Uncertainties in estimating regional methane emissions from rice paddies due to data scarcity in the modeling approach | |
Zhang, W.; Zhang, Q.; Huang, Y.; Li, T. T.; Bian, J. Y.; Han, P. F. | |
2014 | |
发表期刊 | GEOSCIENTIFIC MODEL DEVELOPMENT |
ISSN | 1991-959X |
卷号 | 7期号:3页码:1211-1224 |
摘要 | Rice paddies are a major anthropogenic source of the atmospheric methane. However, because of the high spatial heterogeneity, making accurate estimations of the methane emission from rice paddies is still a big challenge, even with complicated models. Data scarcity is one of the substantial causes of the uncertainties in estimating the methane emissions on regional scales. In the present study, we discussed how data scarcity affected the uncertainties in model estimations of rice paddy methane emissions, from county/provincial scale up to national scale. The uncertainties in methane emissions from the rice paddies of China was calculated with a local-scale model and the Monte Carlo simulation. The data scarcities in five of the most sensitive model variables, field irrigation, organic matter application, soil properties, rice variety and production were included in the analysis. The result showed that in each individual county, the within-cell standard deviation of methane flux, as calculated via Monte Carlo methods, was 13.5-89.3% of the statistical mean. After spatial aggregation, the national total methane emissions were estimated at 6.44-7.32 Tg, depending on the base scale of the modeling and the reliability of the input data. And with the given data availability, the overall aggregated standard deviation was 16.3% of the total emissions, ranging from 18.3-28.0% for early, late and middle rice ecosystems. The 95% confidence interval of the estimation was 4.5-8.7 Tg by assuming a gamma distribution. Improving the data availability of the model input variables is expected to reduce the uncertainties significantly, especially of those factors with high model sensitivities. |
学科领域 | Geosciences, Multidisciplinary |
DOI | 10.5194/gmd-7-1211-2014 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | CH4 EMISSION ; CHINA ; SOIL ; FIELDS ; CULTIVATION ; CROPLANDS ; SENSITIVITY ; MANAGEMENT ; FLUXES |
WOS研究方向 | Geology |
WOS记录号 | WOS:000341600100028 |
出版者 | COPERNICUS GESELLSCHAFT MBH |
文献子类 | Article |
出版地 | GOTTINGEN |
EISSN | 1991-9603 |
资助机构 | National Natural Science Foundation of China [41175132, 41075107, 41321064] ; National Key Basic Research Development Foundation of China [2010CB950603] |
作者邮箱 | litingting@mail.iap.ac.cn |
作品OA属性 | gold, Green Submitted |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/27061 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.[Zhang, W. 2.Zhang, Q. 3.Li, T. T. 4.Bian, J. Y. 5.Han, P. F.] Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China 6.[Zhang, Q. 7.Han, P. F.] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 8.[Huang, Y.] Chinese Acad Sci, Inst Bot, LVEC, Beijing 100093, Peoples R China 9.[Bian, J. Y.] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, W.,Zhang, Q.,Huang, Y.,et al. Uncertainties in estimating regional methane emissions from rice paddies due to data scarcity in the modeling approach[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2014,7(3):1211-1224. |
APA | Zhang, W.,Zhang, Q.,Huang, Y.,Li, T. T.,Bian, J. Y.,&Han, P. F..(2014).Uncertainties in estimating regional methane emissions from rice paddies due to data scarcity in the modeling approach.GEOSCIENTIFIC MODEL DEVELOPMENT,7(3),1211-1224. |
MLA | Zhang, W.,et al."Uncertainties in estimating regional methane emissions from rice paddies due to data scarcity in the modeling approach".GEOSCIENTIFIC MODEL DEVELOPMENT 7.3(2014):1211-1224. |
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