Bulletin of Surveying and Mapping ›› 2022, Vol. 0 ›› Issue (6): 148-153.doi: 10.13474/j.cnki.11-2246.2022.0188.

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Analysis of climate suitability pattern and influencing factors of human settlements in the three provinces of Northeast China based on GIS

GAO Jiaji1, LI Hongkui2, BAI Zhizhen3, YANG Jun3   

  1. 1. Art Design College, Dalian Polytechnic University, Dalian 116000, China;
    2. Dalian Natural Resources Affairs Service Center, Dalian 116014, China;
    3. College of Geographical Sciences, Liaoning Normal University, Dalian 116029, China
  • Received:2021-07-07 Published:2022-06-30

Abstract: The climate comfort of the human settlement is an important criterion for judging whether a certain area is livable or not. Using meteorological data and climate comfort model from 1988 to 2018, reveal the differences and influencing factors of the climate comfort of human settlements in the three provinces in Northeast China. The results show that:①The climate of the human settlement is relatively comfortable from June to August, and the comfort level is the lowest from January and February. The difference in comfort space in the summer half year is greater than that in the winter half year. The comfort level in the two phases of 1988-2002 and 2003-2018 is generally good, and there are two low-value centers. In terms of seasonal changes in comfort, spring, summer and autumn show an overall increasing trend, while winter shows a worsening trend. The spatial distribution can be divided into 5 categories. The characteristics of categories are warm and wet comfort, warm and dry and more comfortable, cold and comfortable, dry and less comfortable, and dry and uncomfortable. ②The main influencing factors are temperature and wind speed in summer and winter. Air quality and urban development level are positively correlated with climate comfort of human settlements, but weakly positively correlated; the relationship between vegetation coverage and the level is phased.

Key words: three provinces in Northeast China, climate comfort of human settlements, GIS, differentiation pattern, influencing factors

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