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Carbon Accounting and Economic Model Uncertainty of Emissions from Biofuels-Induced Land Use Change

机译:碳核算和生物燃料引起的土地利用变化产生的排放的经济模型不确定性

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摘要

Few of the numerous published studies of the emissions from biofuels-induced "indirect" land use change (ILUC) attempt to propagate and quantify uncertainty, and those that have done so have restricted their analysis to a portion of the modeling systems used. In this study, we pair a global, computable general equilibrium model with a model of greenhouse gas emissions from land-use change to quantify the parametric uncertainty in the paired modeling system's estimates of greenhouse gas emissions from ILUC induced by expanded production of three biofuels. We find that for the three fuel systems examined-US corn ethanol, Brazilian sugar cane ethanol, and US soybean biodiesel-95% of the results occurred within ±20 g CO_2e MJ~(-1) of the mean (coefficient of variation of 20-45%), with economic model parameters related to crop yield and the productivity of newly converted cropland (from forestry and pasture) contributing most of the variance in estimated ILUC emissions intensity. Although the experiments performed here allow us to characterize parametric uncertainty, changes to the model structure have the potential to shift the mean by tens of grams of CO_2e per megajoule and further broaden distributions for ILUC emission intensities.
机译:关于生物燃料引起的“间接”土地利用变化(ILUC)排放的大量已发表研究中,很少有尝试传播和量化不确定性,而那些已经这样做的研究将其分析限制在所用建模系统的一部分。在这项研究中,我们将全球可计算的一般均衡模型与土地利用变化产生的温室气体排放模型配对,以量化配对模型系统估计的三种生物燃料的生产引起的ILUC温室气体排放估算中的参数不确定性。我们发现,对于三种燃料系统,美国玉米乙醇,巴西甘蔗乙醇和美国大豆生物柴油的结果中,有95%的结果在平均值的±20 g CO_2e MJ〜(-1)范围内(变异系数为20 -45%),其经济模型参数与作物产量和新转化农田(来自林业和牧场)的生产力有关,这是估计的ILUC排放强度的大部分差异。尽管此处进行的实验使我们能够表征参数不确定性,但是对模型结构的更改有可能使平均值每兆焦耳偏移几十克CO_2e,并进一步扩大ILUC发射强度的分布。

著录项

  • 来源
    《Environmental Science & Technology》 |2015年第5期|2656-2664|共9页
  • 作者单位

    Institute of Transportation Studies, University of California-Davis, Davis, California 95616-7384,-United States;

    Economic Research Service, US Department of Agriculture, Washington, DC 20250-0002, United States;

    Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, West Lafayette, Indiana 47907-2056, United States;

    Institute of Transportation Studies, University of California-Davis, Davis, California 95616-7384,-United States;

    Goldman School of Public Policy, University of California-Berkeley, Berkeley, California 94720, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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