摘要
为了解城市绿道植物空间绿量可视性特征，通过构建绿视率计量方法，以广东省立绿道1号线为例进行调查分析，探索了基于绿视率的城市绿道空间绿量可视性特征。结果表明：①省立绿道1号线沿线4个区域总的绿视率均值为31．06％，其中天河区（38．19％）〉海珠区（35．97％）〉越秀区（26．76％）〉荔湾区（26．67％）。②天河区绿道与荔湾区、越秀区绿道绿视率存在显著差异（P〈0．05），表明天河区绿道空间绿量可视性优于荔湾区和越秀区；虽然海珠区绿道绿视率较荔湾区和越秀区高，但通过方差分析多重比较来看，3个区的绿道绿视率没无显著差异（P〉O．05），表明荔湾区、越秀区、海珠区绿道的空间绿量可视性较相似。⑧越秀区和天河区绿道绿视率较为集中地分布在24％～40％区间，说明越秀区和天河区各自区域绿道内部的绿视率数值较为稳定，其空间绿量可视性效果差异不大，给人感觉一种持续、稳定的绿色空间；而荔湾区和海珠区绿道绿视率的分散在10％-50％，说明荔湾区和海珠区各自区域绿道内部的绿视率数值不稳定，其空间绿量可视性效果差异较大，给人一种间断、具有冲击力的绿色空间。基于绿视率的空间绿量可视性可用于评价城市森林建设的视觉效果。
To understand the spatial visibility of green areas of urban greenway in urban greenway, the greenappearance percent was used to determine and analyze green areas of greenway line 1. Through the photos took by Nikon D800, the green-appearance percent was calculated with Photoshop. Results indicated that 1) the average total green-appearance percent of greenway of four Guangzhou Districts was 31.9% with Tianhe(38.2%)> Yuexiu(36.0%) > Haizhu(26.8%) > Liwan(26.7%). 2) Using one-way ANOVA, the green-appearance percent of greenway in Tianhe District was significantly greater(P < 0.05) than Yuexiu and Liwan Districts.3) The green-appearance percent of greenway in Yuexiu and Tianhe Districts was between 24.0% and 40.0%;Whereas, in Liwan and Haizhu Districts green areas were 10.0% to 50.0%. Thus, Yuexiu and Tianhe Districts were relatively stable providing a sustained, stable green space; but Liwan and Haizhu Districts were unstable with a discontinuous, sporadic green space. The green-appearance percent cloud be used to ecaluate the visual impact of various planning and management on urban forests.
出处
《浙江农林大学学报》
CAS
CSCD
北大核心
2016年第2期288-294,共7页
Journal of Zhejiang A&F University
基金
国家林业公益性行业科研专项(201404301)
关键词
园林学
绿道
空间绿量
植物景观
绿视率
可视性特征
landscape architecture
greenway
green area
vegetative landscape
green appearance percent
spatial visibility
