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Application of analytic hierarchy process to develop a weighting scheme for life cycle assessment of agricultural production

机译:层次分析法在制定农业生产生命周期评估权重方案中的应用

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The Impact Assessment (IA) step in Life Cycle Assessment (LCA) studies is classified into three steps of characterization, normalization and weighting. In this research, various impact categories were weighted using Analytic Hierarchy Process (AHP), as a multi criteria decision making tool. Iranian tobacco production system was the example of agricultural system. The data for LCA analysis were collected from 225 farms. The data for AHP analysis were gathered by surveying 12 LCA experts. The results indicated that on-farm emissions of CO2, CH4, N2O, NH3, NOx and SO2 were accounted for 25, 96, 93, 99, 21 and 2% of the total emissions (cradle to farmgate), respectively. The characterization indices for the impact categories of acidification, terrestrial eutrophication, global warming, phosphate resources depletion, potash resources depletion and fossil resources depletion for one ton tobacco production were calculated to be 13.87 kgSO(2)eq, 19.69 kgNO(x)eq, 1883.90 kgCO(2)eq, 19.69 kgNO(x)eq, 4.19 kgP(2)O(5), 6.14 kgK(2)O, and 59,659.23 MJ, respectively. The LCA + AHP showed that the weighted factors of global warming, terrestrial eutrophication, acidification, fossil resources depletion, phosphate resources depletion and potash resources depletion were 1, 0.790, 0.518, 0.681, 0.422, and 0.263, respectively. Many agricultural systems could benefit from using the developed weighting factors for LCA studies in the agricultural sector. Based on the new developed weighted factors, the weighted indices of aforementioned impact categories for Iranian tobacco production were 0.24, 0.41, 0.19, 1.04, 0.23, and 0.20, respectively. This implies that fossil resources depletion impact category was attributed the highest negative environmental impacts of tobacco production followed by terrestrial eutrophication. (c) 2019 Elsevier B.V. All rights reserved.
机译:生命周期评估(LCA)研究中的影响评估(IA)步骤分为表征,标准化和加权三个步骤。在这项研究中,使用多层次决策工具Analytic Hierarchy Process(AHP)对各种影响类别进行加权。伊朗烟草生产系统就是农业系统的例子。用于LCA分析的数据来自225个农场。用于AHP分析的数据是通过调查12位LCA专家收集的。结果表明,农场的CO2,CH4,N2O,NH3,NOx和SO2排放分别占总排放量(从摇篮到农场的总排放)的25%,96%,93%,99%,21%和2%。计算一吨烟草产量的酸化,陆地富营养化,全球变暖,磷酸盐资源耗竭,钾盐资源耗竭和化石资源耗竭的影响类别的表征指数分别为13.87 kgSO(2)eq,19.69 kgNO(x)eq,分别为1883.90 kgCO(2)eq,19.69 kgNO(x)eq,4.19 kgP(2)O(5),6.14 kgK(2)O和59,659.23 MJ。 LCA + AHP表明,全球变暖,陆地富营养化,酸化,化石资源枯竭,磷酸盐资源枯竭和钾盐资源枯竭的加权因子分别为1、0.790、0.518、0.681、0.422和0.263。使用发达的加权因子进行农业LCA研究可以使许多农业系统受益。根据新开发的加权因子,上述对伊朗烟草生产的影响类别的加权指数分别为0.24、0.41、0.19、1.04、0.23和0.20。这意味着化石资源枯竭影响类别归因于烟草生产对环境的最大负面影响,其次是陆地富营养化。 (c)2019 Elsevier B.V.保留所有权利。

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