近30年辽宁省夏季人体舒适度区域特征分析

doi:10.13249/j.cnki.sgs.2016.08.011

摘要/Abstract

摘要：

基于辽宁省25个气象测站1984~2013年6~8月的逐日平均气温、平均风速、相对湿度以及日照时数等数据,以温湿指数、风效指数及着衣指数综合加权法与旋转经验正交函数分解法（REOF）相结合,分析辽宁省夏季舒适程度,并对舒适度变化趋势进行舒适区域划分。结果表明：① 温湿指数、风效指数及着衣指数均呈现出6月指数最低,7月指数相对较高的特点,年际变化特征不明显,且3个指数各个月空间分布上呈现的趋势并不相同。② 6月全省均处于“舒适”等级,而7月和8月处于“比较舒适”等级,说明6月是辽宁省夏季旅游最佳月份。6月和7月在空间分布中呈现出由西北向东南递增的趋势,但8月却呈现出相反的趋势。③ 根据旋转经验正交函数分解方法对前3个载荷向量旋转后的结果,将辽宁省划分为3个舒适区域,分别为辽宁中部及西北部区域、辽宁东部区域和辽东半岛区域。

关键词: 辽宁省, 夏季, 舒适度综合指数, REOF, 气候区划

Abstract:

Based on the 25 weather stations data in Liaoning Province in summer (June, July and August): average temperature, average wind speed, relative humidity and sunshine duration between 1984-2013 and combined with THI, K, and ICL and revolving experience orthogonal fashion (REOF) to divide Liaoning Province into different parts by comfort level of climate and analyze change tendency. Results indicated that: 1) THI, K and ICL both showed characteristic of the lowest index in June and relatively high in July , intrannual variability is not obvious, and the trend of spatial distribution of each month’s three indices is not the same; 2) The "comfortable" level is in June, while July and August are “less comfortable” level. So it indicate that June is the best month of summer tourism in Liaoning Province. June and July showed the spatial distribution increasing from nort hwest to southeast trend, but in August preached the opposite trend; 3) According to the first three REOF results, Liaoning Province will be divided into 3 comfort zones, the three zones are the central and northwestern regions of Liaoning, the eastern region of Liaoning, and the Liaodong Peninsula region.

Key words: Liaoning Province, summer, comprehensive index of comfort, REOF, climatic regionalization

中图分类号:

P463

曹永强, 高璐, 王学凤. 近30年辽宁省夏季人体舒适度区域特征分析[J]. 地理科学, 2016, 36(8): 1205-1211.

Yongqiang Cao, Lu Gao, Xuefeng Wang. Regional Characteristics of Climate Comfort in Summer in Liaoning During past 30 Years[J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(8): 1205-1211.

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参考文献 16

[9]	[Yu Zhikang, Sun Gennian, Luo Zhengwen et al. An analysis of climate comfort degree and tourism potential power of cities in northern China in summer to the North of 40°N. Journal of Natural Resources, 2015,(2): 327-339.] doi: 10.11849/zrzyxb.2015.02.015
[10]	杨成芳. 山东省人体舒适度的REOF分析[J]. 气象科学, 2006, 26(1): 103-109. doi: 10.3969/j.issn.1009-0827.2006.01.015
	[Yang Chengfang.Analysis of Reof on body comfort in Shandong. Scientia Meteorologica Sinica, 2006, 26(1): 103-109.] doi: 10.3969/j.issn.1009-0827.2006.01.015
[11]	唐亚平, 张凯, 李忠娴, 等. 基于REOF方法的辽宁气候舒适度区域特征分析[J]. 环境科学与技术, 2011, 34(2): 120-124. doi: 10.3969/j.issn.1003-6504.2011.02.026
	[Tang Yaping, Zhang Kai, Li Zhongxian et al. Analysis of climate comfort regional characteristics in Liaoning based on REOF. Environmental Science & Technology, 2011, 34(2): 120-124.] doi: 10.3969/j.issn.1003-6504.2011.02.026
[12]	刘伟, 李红波. 辽宁长山群岛旅游气候适宜性研究[J]. 资源与环境, 2011, (S2): 500-503.
	[Liu Wei, Li Hongbo.Tourist climate suitability of changshan archipelago,Liaoning. China Population, Resources and Environment, 2011,(S2): 500-503.]
[13]	马丽君, 孙根年, 谢越法, 等. 50年来东部典型城市旅游气候舒适度变化分析[J]. 资源科学, 2010, 32(10): 1963-1970.
	[Ma Lijun, Sun Gennian, Xie Yuefa et al. A study on variations of the tourism climate comfort degree in five typical cities in eastern China during the last 50 years. Resources Science, 2010, 32(10): 1963-1970.]
[14]	魏凤英. 现代气候统计诊断与预测技术. 北京: 气象出版社, 1999: 69, 72.
	[Wei Fengying.Modern climate statistics diagnosis and prediction technology[M]. Beijing: Meteorological Press, 1999:69, 72.]
[15]	高媛媛, 许新宜, 王红瑞, 等. 中国水资源利用效率评估模型构建及应用[J]. 系统工程理论与实践, 2013, 33(3): 776-784.
	[Gao Yuanyuan, Xu Xinyi, Wang Hongrui et al. New model for water use efficiency evaluation of China and its application. Systems Engineering - Theory & Practice, 2013, 33(3): 776-784.]
[16]	黄嘉佑. 气象统计分析与预报方法[M] . 北京: 气象出版社, 2000: 135-139.
[1]	李亚滨, 王晓明, 李重操. 黑龙江省人体舒适度气候指数初步分析[J]. 黑龙江气象, 2009, 26(2): 22-24.
	[Li Yabin, Wang Xiaoming, Li Chongcao.Preliminary analysis of human comfort climate index in helongjiang province. Heilongjiang Meteorology, 2009, 26(2): 22-24.]
[2]	刘梅, 于波, 姚克敏. 人体舒适度研究现状及其开发应用前景[J]. 气象科技, 2002, 30(1): 11-14, 18. doi: 10.3969/j.issn.1671-6345.2002.01.002
	[Liu Mei, Yu Bo, Yao Kemin.Human comfort research status and development prospects. Meteorological Science and Technology, 2002, 30(1): 11-14, 18.] doi: 10.3969/j.issn.1671-6345.2002.01.002
[3]	王国新, 钱莉莉, 陈韬, 等. 旅游环境舒适度评价及其时空分异——以杭州西湖为例[J]. 生态学报, 2015, 35(7): 2206-2216. doi: 10.5846/stxb201306021275
	[Wang Guoxin, Qian Lili,Chen Tao et al. Evaluation of tourism environmental comfort and its spatial-temporal differentiation: a case study of West Lake in Hangzhou, China. Acta Ecologica Sinica, 2015, 35(7): 2206-2216.] doi: 10.5846/stxb201306021275
[4]	Terjung W T.Physiologic climates of the conterminous United States:A bioclimatic classification based on man[J]. Annal Association of American Geographers, 1996, 5(1): 141-179.
[5]	吴兑. 多种人体舒适度预报公式讨论[J]. 气象科技, 2003, 31(6): 370-372. doi: 10.3969/j.issn.1671-6345.2003.06.010
	[Wu Dui.Discussion on various formulas for forecasting human comfort index. Meteorological Science and Technology, 2003, 31(6): 370-372.] doi: 10.3969/j.issn.1671-6345.2003.06.010
[6]	乔慧. 辽南城市群人体舒适度研究[D]. 大连: 辽宁师范大学, 2012 .
	[Qiao Hui.Study on human body comfort of cities in South of Liaoning. Dalian: Liaoning Normal University, 2012.]
[7]	刘海洋, 吴月, 王乃昂, 等. 中国沙漠旅游气候舒适度评价[J]. 资源科学, 2013, 35(4): 831-838.
	[Liu Haiyang, Wu Yue, Wang Naiang et al. Analysis of climate comfort conditions in the desert tourism Zone in China. Resources Science, 2013, 35(4): 831-838.]
[8]	丛晓男, 王轶. 中国城市旅游气候舒适度及时空演变分析[J]. 测绘科学, 2015, 40(6): 84-91. doi: 10.16251/j.cnki.1009-2307.2015.06.0018
	[Cong Xiaonan, Wang Yi.Analysis on the climate comfort of China cities and its spatio-temporal variation based on GIS. Science of Surveying and Mapping, 2015, 40(6): 84-91.] doi: 10.16251/j.cnki.1009-2307.2015.06.0018
[9]	余志康, 孙根年, 罗正文, 等. 40°N以北城市夏季气候舒适度及消夏旅游潜力分析[J]. 自然资源学报, 2015, (2): 327-339. doi: 10.11849/zrzyxb.2015.02.015
[16]	[Huang Jiayou.Meteorological statistical analysis and forecasting methods . Beijing: China Meteorological , 2000: 135-139.]

温湿指数(THI)		风效指数(K)		着衣指数（ICL）		赋值
分类等级	人体感知度	分类等级	人体感知度		分类等级	人体感知度
<40	极冷,不舒适	< -1000	酷冷	>2.5	羽绒或毛皮衣	1
40~45	寒冷,不舒适	-800~-1000	冷风	1.8~2.5	厚实外套	3
45~55	偏冷,较舒适	-600~-800	稍冷风	1.5~1.8	冬季常用服装	5
55~60	清凉,舒适	-300~-600	凉风	1.3~1.5	春秋季便服	7
60~65	凉爽,非常舒适	-200~-300	舒适风	0.7~1.3	衬衫+便服	9
65~70	暖,舒适	-50~-200	暖风	0.5~0.7	轻便夏装	7
70~75	偏热,较舒适	+80~-50	稍热风	0.3~0.5	短袖开领衫	5
75~80	闷热,不舒适	+160~+80	热风	0.1~0.3	单衣	3
>80	极闷热,不舒适	>+60	极热	<0.1	薄单衣	1

序号	EOF				REOF
序号	特征值		贡献率（%）	累计贡献率（%）	特征值	贡献率（%）	累计贡献率（%）
1	19.811	79.246	79.246		9.472	37.889	37.889
2	1.602	6.408	85.654		6.874	27.495	65.385
3	1.067	4.266	89.920		6.134	24.535	89.920