| 基于灰色关联的北京城区景观乔木树种评价 |
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| 引用本文： | 黄广远,徐程扬,毛斌,朱解放.基于灰色关联的北京城区景观乔木树种评价[J].东北林业大学学报,2011,39(11):102-104. |
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| 作者姓名： | 黄广远 徐程扬 毛斌 朱解放 |
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| 作者单位： | 省部共建森林培育与保护重点实验室(北京林业大学),北京,100083 |
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| 基金项目： | 国家“十一五”科技支撑计划项目，北京市科技计划项目 |
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| 摘 要： | 以北京市城区主要35种乔木树种为对象,从树木个体的景观美学角度去选择评价指标,用灰色关联度分析法对现有乔木树种进行景观美学评价,按照灰色系统理论关联度分析原理,关联度大的数列与参考数列最为接近,通过各树种每个景观指标的关联度大小,可以明确各树种的优劣.加权关联序结果表明,雪松、银杏、腊梅、悬铃木、梅花、元宝枫、垂柳、山...
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| 关 键 词： | 景观树种 灰色关联分析 北京 |
Evaluation of Landscape Tree Species in Beijing Based on Grey Relation Method |
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| Huang Guangyuan,Xu Chengyang,Mao Bin,Zhu Jiefang.Evaluation of Landscape Tree Species in Beijing Based on Grey Relation Method[J].Journal of Northeast Forestry University,2011,39(11):102-104. |
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| Authors: | Huang Guangyuan Xu Chengyang Mao Bin Zhu Jiefang |
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| Institution: | (Key Laboratory for Silviculture and Conservation(Beijing Forestry University),Ministry of Education,Beijing 100083,P.R.China) |
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| Abstract: | Landscape esthetics evaluation was performed on 35 tree species in Beijing with grey correlation analysis method.According to the principle of correlation degree analysis of grey system theory,the series with a high degree of correlation are closer to the reference sequence.The advantages and disadvantages of each tree species could be identified according to the correlation degree of each landscape index of all tree species.The result of weighted grey relational degree shows that Cedrus deodara,Ginkgo biloba,Chimonanthus praecox,Platanus oreientalis,Prunus mume,Acer truncatum,Salix matsudana,Prunus davidiana,Fraxinus chinensis and Liriodendron chinense are closest to the ideal tree species in the evaluation.The comprehensive landscape aesthetic effects of the above tree species are better,and they are suitable landscape tree species for urban greening in Beijing.It is easily operated using the grey relational analysis method to evaluate the urban landscape tree species,and it can also objectively and correctly reflect the merits of various tree species. |
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| Keywords: | Landscape trees Grey relational analysis Beijing |
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