Assessing the uncertainty associated, with national greenhouse gas emission inventories: a case study for Austria

被引:67
作者
Winiwarter, W [1 ]
Rypdal, K
机构
[1] Austrian Res Ctr, A-2444 Seibersdorf, Austria
[2] Stat Norway, N-0033 Oslo, Norway
关键词
uncertainty; emissions; greenhouse gases; Monte-Carlo simulation;
D O I
10.1016/S1352-2310(01)00171-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The uncertainty associated with the Austrian Greenhouse Gas emission inventory has been determined for the gases CO2, CH4 and N2O and for the overall greenhouse potential. Expert interviews were conducted to obtain uncertainties in inventory input data. Based on these interviews, error distributions were developed and combined using Monte-Carlo analysis. Results for all sources and gases combined indicate in overall uncertainty between 10.5% and 12% depending on the base year considered. Excluding emissions and the uncertainty associated with forest sinks and natural Sources, overall uncertainty decreased by 2% points. The mere 'random error', which is considered the level of uncertainty to be achieved with the current methodology (excluding all systematic errors) is 5% points lower. Detailed evaluation shows that much of the overall uncertainty derives from a lack of understanding the processes associated with N2O emissions from soils. Other important contributors to GHG emission uncertainties are CH4 from landfills and forests its CO2 sinks. The uncertainty of the trend has been determined at near 5% points. with solid waste production (landfills) having the strongest contribution. Theoretical considerations do not permit a decrease or the trend uncertainty-even when forest sinks are not considered-below 3% points. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:5425 / 5440
页数:16
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