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全球五个大都市城市色彩和谐的空间分析(英文)
引用本文:陈乃鸽,徐晓凡,谈明洪,王先明.全球五个大都市城市色彩和谐的空间分析(英文)[J].资源与生态学报(英文版),2022,13(2):238-246.
作者姓名:陈乃鸽  徐晓凡  谈明洪  王先明
作者单位:1. 中国科学院地理科学与资源研究所陆地表层格局与模拟重点实验室;2. 中国科学院大学资源与环境学院;3. 中国科学院大学国际学院;4. 山东省菏泽市自然资源和规划局
基金项目:The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20040400)
摘    要:和谐的城市色彩可以减少城市光污染,缓解城市热岛效应,提高居民生活质量,塑造城市风格。然而,由于建筑风格的多样化,大都市的城市色彩越来越复杂,这可能会破坏大都市的色彩和谐。至今,对色彩和谐程度的定量表达研究还不够,对不同大都市的城市色彩的比较研究也相对不足。通过编写Python程序和使用Sentinel-2A遥感数据,本文首先开发了一种定量计算2020年5个大都市(伦敦、东京、芝加哥、巴黎和北京)的色彩和谐程度(DCHs)的方法。然后使用GIS缓冲区来分析每个大都市内DCHs的空间分布。此外,还选取了20个典型样本来分析住宅区和工业区之间DCHs的差异。结果显示:(1)伦敦和东京的DCHs值最高,其次是芝加哥和巴黎,而北京最低。(2)芝加哥、巴黎和伦敦的DCHs值由内而外越来越高,而北京和东京的DCHs值则越来越低。(3)工业区的DCHs值远低于住宅区。基于上述结果,为大都市的色彩管理提供了政策建议。最后,本研究可以为其他大都市提供一种快速分析色彩和谐程度的方法。

关 键 词:空间分析  城市色彩和谐  全球大都市  城市景观
收稿时间:2021-07-16

A Spatial Analysis of Urban Color Harmony in Five Global Metropolises
CHEN Naige,XU Xiaofan,TAN Minghong,WANG Xianming.A Spatial Analysis of Urban Color Harmony in Five Global Metropolises[J].Journal of Resources and Ecology,2022,13(2):238-246.
Authors:CHEN Naige  XU Xiaofan  TAN Minghong  WANG Xianming
Institution:1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China3. International College, University of Chinese Academy of Sciences, Beijing 100049, China4. Natural Resources and Planning Bureau of Heze, Heze, Shandong 274000, China
Abstract:Harmonious urban color can reduce urban light pollution, relieve the urban heat island effect, improve the living quality and form a distinctive style. However, due to the manifold architectural styles, urban color in metropolises typically becomes complicated, which may destroy the color harmony of metropolises. Up to now, there has not been enough research on the quantitative expression of the degree of color harmony, and the research on comparing the urban color characteristics of different metropolises is also relatively insufficient. This paper firstly developed a method to quantitatively measure the degrees of color harmony (DCHs) of five metropolises in 2020: London, Tokyo, Chicago, Paris, and Beijing, by writing a Python program and using the Sentinel-2A remote sensing data. GIS buffers were then used to analyze the spatial distribution of the DCHs within each metropolis. In addition, 20 typical samples were selected to analyze the differences of the DCHs between residential and industrial areas. The results showed that: (1) The values of the DCHs of London and Tokyo were the highest, followed by Chicago and Paris, while Beijing was the lowest. (2) The values of the DCHs were increasing from the inside out in Chicago, Paris, and London, while those in Beijing and Tokyo were decreasing. (3) The values of the DCHs in industrial areas were much lower than in residential areas. Based on the above results, policy implications are provided for color management of these metropolises. Lastly, this study may provide a method for the rapid analysis the DCHs for other metropolises.
Keywords:spatial analysis  urban color harmony  global metropolis  cityscape  
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