| 摘要: |
| 利用灰色关联度法对油脂植物的主要性状进行综合分析,为评价及筛选优质非粮柴油植物提供科学参考。本研究选取9项评价指标并运用独立性权数法确定了其权重系数,总体变幅为0.085~0.186,其中碘值(0.136)与高热值(0.120)的权重较高,其余7项指标间差异不大。以秦岭地区23份符合柴油植物初步评价标准的野生资源为材料,分别利用等权关联度法与加权关联度法确定其与构建的理想物种间的关联度,并用于综合评价与筛选。结果表明:基于等权法的关联度变幅为0.906 5~0.985 1,前三名优势物种为山桃(γ=0.985 1)、粗榧(γ=0.984 2)与李(γ=0.983 9);基于加权法的关联度变幅为0.912 6~0.984 9,前三名优势物种为山桃(γ=0.984 9)、李(γ=0.983 9)与粗榧(γ=0.983 7)。基于两种评价方法下的23份资源综合品质排名差异不显著(P<0.01),其秩相关系数达到0.998,说明所选9项指标对评价非粮柴油植物综合品质具有同等重要性,同时也表明等权关联度法可直接用于评价与筛选。 |
| 关键词: 油脂植物 能源植物 植物资源 灰色关联度 综合评价 |
| DOI：10.11841/j.issn.1007-4333.2012.06.028 |
| 投稿时间：2012-01-13 |
| 基金项目:国家科技基础性工作专项重点项目(2008FY110400) |
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| Application of grey system theory in evaluation and screening of no-food biodiesel plant resources |
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XUE Shuai, QIN Shuo, WANG Ji-shi, LIANG Zhen-xing, XIE Guang-hui
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| (College of Agronomy and Biotechnology/National Energy R&D Center for Non-food Biomass,China Agricultural University,Beijing 100193,China) |
| Abstract: |
| In order to effectively evaluate and screen no-food biodiesel plant (NFBP) resources,nine characteristics of NFBP were evaluated comprehensively using the grey system analysis and the independibility weight was introduced in this study.The result showed that the weight coefficients varied from 0.090 to 0.136 and the first two highest weight coefficients were iodine value (0.136) and heating value (0.120).While the weight coefficients of other 7 indicators including the oil content,acid value,kinematic viscosity,cetane number,density,cold filter clogging temperature as well as the seed yield were all stable at 0.10.The equal-weight and weighting coefficients between the 23 oil species which satisfied the NFBP standards well and the simulated ideal specie were calculated and used for further screening.The result further exhibited that the equal-weight coefficient varied from 0.9065 to 0.9851 and the top species were Prunus davidiana Carr.(γ=0.985 1),Cephalotaxus sinensis Li.(γ=0.984 2) and Prunus salicina Linn.(γ=0.983 9),respectively.Comparatively,the weighting coefficient varied from 0.912 6 to 0.984 9 and the top three species were Prunus davidiana Carr.(γ=0.984 9),Prunus salicina Linn.(γ=0.983 9) and Cephalotaxus sinensis Li.(γ=0.983 7),respectively.Clerodendrum trichotomum Thunb.performed the poorest property compared to the rest species based on both methods.For the 23 plant species,the results of the two ranking methods were highly significantly (P<0.01) correlated with a correlation coefficient of 0.998.Our results also demonstrated that the 9 evaluation indicators generally reflected the NFBP property and that the equal-weight grey system analysis could be directly used for NFBP evaluation and screening. |
| Key words: oil plant energy plant plant resource grey related degree comprehensive evaluation |
