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• 方法与技术 • 上一篇    

基于城市分类的绿色城市指标体系构建

窦攀烽1,2,左舒翟1*,任引1,黄葳1   

  1. 1中国科学院城市环境研究所城市环境与健康重点实验室, 厦门 361021;2中国科学院大学, 北京 100049)
  • 出版日期:2019-06-10 发布日期:2019-06-10

Construction of an index system for green cities based on urban classification.

DOU Pan-feng1,2, ZUO Shu-di1*, REN Yin1, HUANG Wei1   

  1. (1Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; 2University of Chinese Academy of Sciences, Beijing 100049, China).
  • Online:2019-06-10 Published:2019-06-10

摘要: 绿色城市综合评估指标体系是绿色城市规划、建设、评价和管理的重要依据。制定区域差异化的绿色城市指标体系,是因地制宜推进绿色城市发展的基础,对于生产、生活和环境等方面具有显著差异的中国城市具有重要意义。本文首先从城市的生产发展、生活现状和环境背景3个方面,分别选取城市分类指标,构建SOFM神经网络,将中国288个城市划分为26种类型。其次利用SMART原则进行绿色城市指标体系构建,设置绿色生产、绿色生活、绿色环境3个一级指标、11个二级指标、70个三级指标,其中三级指标分为基础指标和特征指标。最后根据城市分类的结果,详细划分了每个城市的适用指标,最终构建了适用于全国不同类型城市的绿色城市指标体系。该指标体系充分考虑了不同类型城市的建设基础和发展需求,为绿色城市指标体系构建提供了新思路和新方法,兼具理论创新和实践价值。

关键词: 长白山, 径向生长, 落叶松, 气候变化, 鱼鳞云杉

Abstract: A comprehensive evaluation index system is of significant importance for the planning, construction, evaluation and management of green cities. The formulation of region differentiated index systems is fundamental for promoting the development of green cities in accordance with the local conditions, and is crucial for the Chinese cities with substantial economic, lifestyle and environmental differences. Firstly, we classified cities with three perspectives, including urban production development, living status, and environmental background. Next, a self-organizing feature map (SOFM) neural network was constructed to classify 288 cities into 26 types. Then, the SMART principle was applied to build a green city index system with three first-level indicators, including green production, green lifestyle, and green environment, 11 secondary indicators, and 70 third-level indicators. The third-level indicators were further sub-classified into basic and characteristic indicators. Finally, we provided the detailed applicable indicator classification for each of the 288 selected cities. The index system described here fully considers the construction foundation and development needs of different cities, and provided new ideas and methods for the establishment of green city index system, with both theoretical innovation and practical value.

Key words: climate change, radial growth, Picea jezoensis var. komarovii, Changbai Mountain., Larix olgensis