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城市专类公园滨水植物景观评价与分析--以郑州市雕塑公园为例 被引量:4

Evaluation and analysis of waterfront plant landscape in urban specialized parks:Taking Zhengzhou sculpture park as an example
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摘要 以郑州市雕塑公园为研究对象,选取16个滨水植物景观单元,结合AHP法、景观美学指数法、BIB-LCJ法、SD法建立综合评价模型。结果表明,专业人士与公众在对单个因子评判上虽然存在差异,但总体保持一致。雕塑公园整体滨水植物景观美学指数为6.72,属于一般至较好水平,具有研究价值及提升空间,对美景度大于1.500的4个滨水植物景观单元通过SPSS 25.0软件进行因子分析,特征因子、认知因子、感受因子与体验因子是影响景观质量的4种因子,特征因子贡献率最大。滨水植物景观质量提升不仅要保证基本的物种丰富度、水的生态性等,还要注重植物色彩等观赏特性的运用,提升局部景观特色,用具生命力的植物元素塑造专类公园主题。 Taking Zhengzhou sculpture park as the research object,16 waterfront plant landscape units are selected and integrated with AHP method,landscape aesthetic index method,BIB-LCJ method and SD method to establish a comprehensive evaluation model.The results show that although there are differences between professionals and the public in the evaluation of individual factors,the overall consistency is maintained.The overall plant landscape aesthetics index of the sculpture park is 6.72,which belongs to the general to better level and has research value and promotion space.Factor analysis of four waterfront plant landscape units with scenic beauty greater than 1.500 is carried out by SPSS 25.0 software.The four elements that affect the landscape quality are characteristic factor,cognitive factor,perception factor and experience factor.The contribution rate of characteristic factors is the largest.To improve the quality of waterfront plant landscape,we should not only ensure the basic species richness and water ecology,but also pay attention to the use of ornamental characteristics such as plant color,enhance local landscape characteristics,and shape the theme of special parks with vitality plant elements.
作者 禹冰 杨延基 吝成旺 冯理明 王鹏飞 YU Bing;YANG Yan-ji;LIN Cheng-wang;FENG Li-ming;WANG Peng-fei(College of Forestry,Henan Agricultural University,Zhengzhou 450002,China)
出处 《湖北农业科学》 2020年第6期117-125,共9页 Hubei Agricultural Sciences
基金 国家自然科学基金项目(31600579)。
关键词 滨水植物景观 AHP法 景观美学指数法 BIB-LCJ法 SD法 因子分析 郑州市 waterfront plant landscape AHP method landscape aesthetic index method BIB-LCJ method SD method factor analysis Zhengzhou city
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