Climate Change Research ›› 2017, Vol. 13 ›› Issue (6): 534-544.doi: 10.12006/j.issn.1673-1719.2017.104

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Assessment on Climatic Carrying Capacity in the Process of New Urbanization:A Case Study in the Wanjiang City Belt

Lu Yanyu1,2, Tian Hong1, Sun Wei3, Wu Rong1,2, Wang Sheng1,2   

  1. 1 Anhui Climate Center, Anhui Meteorological Service, Hefei 230031, China;
    2 Anhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Anhui Meteorological Service, Hefei 230031, China;
    3 Anhui Public Meteorological Service Center, Anhui Meteorological Service, Hefei 230031, China
  • Received:2017-06-05 Revised:2017-08-02 Online:2017-11-30 Published:2017-11-30


According to the interaction between climate and human activities as well as the double attributes of climate, a comprehensive framework and indices system of climatic carrying capacity were established to support the new urbanization. In this framework, the factors concerning climatic resource supplying, climatic disaster constraining, and urban coordinated development were included and quantified by using various methods such as entropy weight, coupled coordination model, and GIS technology. The comprehensive indices were then adopted in Wanjiang city belt to analyze the spatial pattern and key factors of climatic carrying capacity. Results indicated that the spatial pattern of urbanization development was well matching the climatic carrying capacity. The areas where have relative high climatic carrying capacity are also dominated by high urbanization agglomeration. However, the climatic carrying capacity show large spatial variability, and needs to be further optimized at the whole regional scale. Based on the characteristics of urbanization agglomeration and climatic carrying capacity, Wanjiang city belt could be divided into 4 grades and 12 types of areas. For different areas dominated by different types of climatic carrying capacity, the "short board" and main limiting factors are further revealed in this paper.

Key words: climatic carrying capacity, integrated indices, double attributes, coupled coordination, agglomeration

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