The analysis of body comfort index in Baoding city under the background of climate change

doi:10.14088/j.cnki.issn0439-8114.2019.20.011

Abstract

Abstract: Based on the meteorological data from 1971 to 2010 of 12 meteorological stations in Baoding city and the body comfort index （DI） formula, the body comfort index of different landforms in the area was calculated. The results showed that: W11The time which was more comfortable appeared in April, May, June, August and September in Baoding city. The mountain area maintained comfortable state in July, and the plain and the wetland remained relatively comfortable in October. The trend of change about cold discomfort days was reduced significantly. The trend of change about comfortable days was decreased too, but the change rate was not obvious. The trend of change about heat discomfort was increased significantly, and the change rate was obvious. The body comfort index of this area had some periodic changes, and the most obvious of the cycle was 16-year. The days of cold discomfort were decreased from northwest to the southeast. The days of comfort were more longer in the western and the northeast than the others in Baoding city, the days of thermal discomfort were increased from northwest to southeast in Baoding city.

Key words: the body comfort index, Pearson correlation coefficient, Morlet wavelet analysis

CLC Number:

P463

AN Hai-xia, AN Hai-tao, ZHANG Jian-bo, FENG Zhi-qiang, HAN Ying-jie. The analysis of body comfort index in Baoding city under the background of climate change[J]. HUBEI AGRICULTURAL SCIENCES, 2019, 58(20): 50-55.

References

[1] 秦大河,罗勇,陈振林,等.气候变化科学的最新进展:IPCC第四次评估综合报告解析[J].气候变化研究进展,2007,3(6):311-314.
[2] 秦大河,陈振林,罗勇,等.气候变化科学的最新认知[J].气候变化研究进展,2007,3(2):63-73.
[3] 丁一汇,任国玉,石广玉,等.气候变化国家评估报告(Ⅰ):中国气候变化的历史和未来趋势[J].气候变化研究进展,2006,2(1):3-8.
[4] 郭志梅,缪启龙,李雄.中国北方地区近50年来气温变化特征的研究[J].地理科学,2005,25(4):448-454.
[5] 蔡运龙,SMIT B.全球气候变化下中国农业的脆弱性与适应对策[J].地理学报,1996,51(3):202-212.
[6] 郑景云,葛全胜,郝志新.气候增暖对我国近40年植物物候变化的影响[J].科学通报,2002,47(20):1582-1587.
[7] 金之庆,方娟,葛道阔,等.全球气候变化影响我国冬小麦生产之前瞻[J].作物学报,1994,20(2):186-197.
[8] 沙万英,邵雪梅,黄枚.20世纪80年代以来中国的气候变暖及其对自然区域界线的影响[J].中国科学D辑,2002,32(4):317-326.
[9] HILL L,GRIFFITH O W,FLACK M.The measurement of the rate of heat-loss at body temperature by convection radiation and evaporation[J].Philosophical transactions of royal society B biological sciences,1916,207:183-220.
[10] HOUGHTON F C,YAGLOU C P.Determining equal comfort lines[J].Journal of the American society of heating and ventilating engineers,1923,29:165-176.
[11] OLIVE J E.Climate and man's environment: An introduction to applied climatology[M].New York:John-Wiley and Sons.,Inc,1973.
[12] HOUGHTON D D.Handbook of applied meteorology[M].New York:John Wiley & Sons.,Inc,1985.
[13] DE FERIAS C R. Human climates of northern China[J].Atmospheric environment,1979,13(1):71-77.
[14] 邸瑞琦,白美兰,樊建平.内蒙古地区气候因子与旅游活动的关系[J].内蒙古气象,2002(1):14-18.
[15] 刘继韩. 秦皇岛市旅游生理气候评价[J].地理学与国土研究,1989,5(1):35-39.
[16] 李群,刘秀萍.山东省旅游生理气候利用评价[J].山东师大学报(自然科学版),1998,13(1):53-57.
[17] 范业正,郭来喜.中国海滨旅游地气候适宜性评价[J].自然资源学报,1998,13(4):304-311.
[18] 冯新灵,罗隆诚,张群芳,等.中国西部著名风景名胜区旅游舒适气候研究与评价[J].干旱区地理,2006,29(4):598-608.
[19] 高爱仙. 三明市旅游气候资源评价及其利用[J].三明高等专科学校学报,2004,21(4):83-87.
[20] 赵少华,杨永辉,邱国玉,等.河北平原34年来气候变化趋势分析[J].资源科学,2007,29(4):109-113.
[21] 孙广禄,王晓云,章新平,等.京津冀地区人体舒适度的时空特征[J].气象与环境学报,2011,27(3)18-23.
[22] 魏凤英. 现代气候统计诊断与预测技术[M].第2版.北京:气象出版社,2007.
[23] 徐建华. 现代地理学中的数学方法[M].北京:高等教育出版社,1996.
[24] 黄嘉佑. 气象统计分析与预报方法[M].北京:气象出版社,2004. 28-30.
[25] 冯锦明,赵天保,张英娟.基于台站降水资料对不同空间内插方法的比较[M].气候与环境研究,2004,9(2):261-277.
[26] 刘峰. 应用Kriging算法实现气象资料空间插值[J].气象科技,2004,32(2):110-115.
[27] 连志鸾. Surfer二次开发实现加密雨量图自动显示与输出[J].气象科技,2006,34(2):220-224.
[28] 靳国栋,刘衍聪,牛文杰.距离加权反比插值法和克里金插值法的比较[J].长春工业大学学报(自然科学版),2003,24(3):53-57.