Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2017, Vol. 33 ›› Issue (16): 129-136.doi: 10.11924/j.issn.1000-6850.casb16080070

Special Issue: 农业气象 农业地理

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Temporal and Spatial Distribution Characteristics of Human Comfort Degree: In Yangtze River Regions Under Climate Change

  

  • Received:2016-08-16 Revised:2017-01-16 Accepted:2017-01-16 Online:2017-06-12 Published:2017-06-12

Abstract: To quantitatively evaluate the temporal and spatial variation characteristics of human comfort degree in Yangtze River regions, based on daily relative humidity and average temperature data from 434 conventional weather observation stations from 1961 to 2011, using human comfort index model, we systematically analyzed the seasonal variation and spatial distribution of human comfort degree in these regions and conducted a corresponding risk zoning. The results showed that: (1) except summer, human comfort degree value for the whole year and other seasons showed significant decrease in zonal distribution from south to north; (2) comfortable day and uncomfortable day gradually decreased from south to north, while very uncomfortable day showed a significant reverse trend; (3) the value of human comfort degree of the whole year and the four seasons rose with the rate of 0.302/10 a, 0.162/10 a, 0.211/10 a, 0.355/10 a and 0.484/10 a, respectively; the human comfort degree of the whole year as well as spring, autumn and winter gradually increased, but decreased significantly in summer; (4) human comfort value of the whole year and spring, autumn and winter had obvious mutation characteristics, the mutated point occurred in the late 1980s, showing an upward trend in the latter part, to a certain degree, climate change increased the human comfort degree of the whole year and spring, autumn and winter, reduced human comfort degree in summer. The results provide a basis for habitat environmental decision-making, comprehensive development and utilization of tourism climate resources and guarantee of tourism meteorological service in Yangtze River regions.