宜昌市夏季气候舒适性分析

doi:10.3976/j.issn.1002-4026.2018.05.017

SHANDONG SCIENCE ›› 2018, Vol. 31 ›› Issue (5): 109-115.doi: 10.3976/j.issn.1002-4026.2018.05.017

• Other Research Article • Previous Articles Next Articles

Analysis of summer climatic comfortability in Yichang

KONG De-ya^1,2, HUANG Jian-wu^1,2, WANG Wei-gao¹, LIU Zi-hao²

1.Hubei Key Laboratory for Geographical Process Analysis &Simulation,Central China Normal Univresity，Wuhan 430079,
China； 2.Research Institute for Sustainable Development,Central China Normal Univresity，Wuhan 430079,China

Received:2018-03-13 Online:2018-10-20 Published:2018-10-20

Abstract

Abstract:

Based on the meteorological data of average air temperature, wind velocity and relative humidity in summer (JuneAugust) from 1986 to 2015 in the Yichang, the climate comfort of Yichang in summer was analyzed by means of fuzzy mathematics and the model for calculating the human comfort index. The results show that: the comfort index in June of Yichang is highest, index of discomfort is the lowest, while the average hot days is 18 days. The index of discomfort in July is the highest, and the average hot days is 19 days. The climatic comfortability is worse compared to June. The index of discomfort in August is lower compared to June, and the average hot days is 21 days, the number of hotter days is the most. There is a slight difference in climate comfort among the 3 months. In general, the climate in Yichang is comfortable in the summer, and the uncomfortable climate is mainly caused by high temperatures.

Key words: Yichang, human comfort index, summer, fuzzy evaluation

CLC Number:

KONG De-ya, HUANG Jian-wu, WANG Wei-gao, LIU Zi-hao. Analysis of summer climatic comfortability in Yichang[J].SHANDONG SCIENCE, 2018, 31(5): 109-115.

References

［1］朱卫浩,张书余,罗斌.近30a全国人体舒适度指数变化特征[J].干旱气象, 2012, 30(2):220226.
[2]杨春芳.论宜昌人文旅游资源的内涵及开发[J].三峡文化研究,2010(10):293299.
[3]崔讲学. 湖北省气象志[M]. 北京：气象出版社, 2009.
[4]查书平,张敏,王丽娜.浙江省夏季旅游气候舒适度的空间分布特征[J].南通大学学报(自然科学版), 2012, 11(1):5357.
[5]张敦敏.大气质量模糊评价模型与应用[J].成都信息工程学院学报,1991（z1）:8995.
[6]方红.模糊马尔可夫预测法在空气质量评价中的应用[J].气象与环境学报,2008,24(1):6062.
[7]张跃,邹寿平,宿芬.模糊数学方法及应用[M].北京:煤炭工业出版社,1992
[8]于庚康,徐敏,于堃,等. 近30年江苏人体舒适度指数变化特征分析[J]. 气象, 2011, 37(9):11451150.
[9]中国林学会林业气象专业委员会. 中国林业气象文集[M]. 北京：气象出版社, 1989.
[10]王雁，吴宜进，熊安元，等. 湖北省夏季旅游气候舒适度模糊综合评判[J].贵州气象,2009, 33(2):2829.
[11]张金平，葛红梅，孟祥翼,等. 基于模糊评价法的新乡市旅游舒适度分析[J]. 气象与环境科学, 2010, 33(z1):170173.
[12]陆鼎煌. 北京区绿化与居民夏季舒适度[J]. 北京林业 , 1984（1）: 2836.
[13]WOLFLE L M． Sewall wright on the method of path coefficients: Anannotated bibliography［J］． Structural Equation Modeling: A Multidisciplinary Journal，1999， 6( 3) : 280291．
[14]敬艳辉,邢留伟.通径分析及其应用[J]统计教育，2006(2):2426．
[15]杜鹃.通径分析在Excel和SPSS中的实现[J]. 陕西气象, 2012(1):1518.
[16]景元书,周青,刘梅.江苏省夏季旅游气候舒适度的综合分析[C]//全国青年气象科技工作者学术研讨会论文集,长沙：［s.n.］2006:502507.

[1]	YANG Lei, ZOU Jin, DING Zuowei, GUO Lina. Climate change characteristics of foggy days in Qingdao and Jinan [J]. Shandong Science, 2024, 37(1): 128-135.
[2]	ZOU Jin, LI Jun, GAO Li. Characteristics of spatiotemporal variation of monthly-scale extreme precipitation in Shandong Province under climate warming [J]. Shandong Science, 2023, 36(4): 104-113.
[3]	SUN Ke-Qu, ZHANG Rui-Guang, XU Xian, LI Jun, MA Pei-Ming, HUANG Chen-Yang. Air temperature spatialtemporal distribution features of Lianyungang city for 47 years [J]. J4, 2014, 27(3): 78-83.

Analysis of summer climatic comfortability in Yichang

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 3

Metrics

Comments

Recommended 0