近30年河南省度假气候指数变化特征分析

doi:10.3976/j.issn.1002-4026.2022.05.017

Abstract

Abstract:

In this study, the spatial and temporal variation characteristics of holiday climate in Henan province are analyzed using the ground meteorological data (including daily maximum temperature, average relative humidity, precipitation, wind speed, and cloud-coverage rate) from 111 national meteorological observatories in Henan province for the past 30 years (1991—2020). The results show that the holiday climate index(HCI) of Henan reached a “suitable” or a more than “suitable” level from January to December, and the monthly variations present bimodal characteristics. In April to May and September to October, reaching the highest level “particularly suitable”. The Henan HCI indicates that the seasonal variations are the highest in spring and autumn, followed by summer, and the lowest in winter, the spatial distribution presents the “high in north and low in south” characteristics, and the seasonal distribution presents certain dimensional characteristics and obvious regional characteristics.

Key words: holiday climate index, variation of time, spatial distribution, Henan Province

CLC Number:

ZHANG Wei, LIU Yu-zhu. Analysis of the holiday climate index variation characteristics in Henan Province for the past 30 years[J].Shandong Science, 2022, 35(5): 140-146.

Figures/Tables 7

Table 1

Table 2

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

References 23

[1]	NICHOLLS S. Tourism, recreation, and climate change[J]. Annals of Tourism Research, 2006, 33(1): 275-276. DOI: 10.1016/j.annals.2005.08.005. doi: 10.1016/j.annals.2005.08.005
[2]	侯国林, 黄震方, 台运红, 等. 旅游与气候变化研究进展[J]. 生态学报, 2015, 35(9): 2837-2847. DOI: 10.5846/stxb201309062215. doi: 10.5846/stxb201309062215
[3]	TERJUNG W H. Physiologic climates of the conterminous United States: A bioclimatic classification based on man[J]. Annals of the Association of American Geographers, 1966, 56(1): 141-179. DOI: 10.1111/j.1467-8306.1966.tb00549.x. doi: 10.1111/j.1467-8306.1966.tb00549.x
[4]	DAVID D H. Handbook of applied meteorology[M]. New York: John Wiley&Sons.Inc, 1985:778-811.
[5]	THOM E C. A new concept for cooling degree days[J]. Air Condition:Heat&Ventilation, 1957, 54:73-80.
[6]	TERJUNG W H. World patterns of the distribution of the monthly comfortindex[J]. International Journal of Biometeorology, 1968, 12(2): 119-151. DOI: 10.1007/BF01553502. doi: 10.1007/BF01553502
[7]	罗晓玲, 兰晓波, 李岩瑛, 等. 人体舒适度指数预报体系研究[J]. 干旱区资源与环境, 2004(S2):59-62.
[8]	陶生才, 雷淑琴, 潘婕. 1971—2014年玉门市旅游气候舒适度评价分析[J]. 气象与减灾研究, 2017, 40(2): 146-152. DOI: 10.12013/qxyjzyj2017-022. doi: 10.12013/qxyjzyj2017-022
[9]	杨昭明, 张调风, 郭卫东, 等. 1961—2015年青海省西宁市旅游气候舒适度评价[J]. 中国农学通报, 2018, 34(22):118-124.
[10]	麻学锋, 孙根年, 马丽君. 张家界市客流量年内变化与旅游气候舒适度相关分析[J]. 资源科学, 2010, 32(4):686-692.
[11]	刘少军, 张京红, 吴胜安, 等. 气候变化对海南岛旅游气候舒适度及客流量可能影响的分析[J]. 热带气象学报, 2014, 30(5): 977-982. DOI: 10.3969/j.issn.1004-4965.2014.05.018. doi: 10.3969/j.issn.1004-4965.2014.05.018
[12]	甘露. 成都市旅游气候舒适度年内变化与景区客流的相关性[J]. 绵阳师范学院学报, 2015, 34(11): 85-89. DOI: 10.16276/j.cnki.cn51-1670/g.2015.11.017. doi: 10.16276/j.cnki.cn51-1670/g.2015.11.017
[13]	王秀苗. 泰安气候舒适度与入境客流量季节变化的相关分析[J]. 枣庄学院学报, 2016, 33(5): 72-78 DOI: 10.3969/j.issn.1004-7077.2016.05.012. doi: 10.3969/j.issn.1004-7077.2016.05.012
[14]	徐秀玉. 广州市旅游气候舒适度对旅游客流量的影响分析[J]. 云南地理环境研究, 2017, 29(5): 17-23. DOI: 10.3969/j.issn.1001-7852.2017.05.003. doi: 10.3969/j.issn.1001-7852.2017.05.003
[15]	MIECZKOWSKI Z. The tourism climatic index: A method of evaluating world climates fortourism[J]. Canadian Geographer / Le Géographe Canadien, 1985, 29(3): 220-233. DOI: 10.1111/j.1541-0064.1985.tb00365.x. doi: 10.1111/j.1541-0064.1985.tb00365.x
[16]	TANG M T. Comparing the tourism climate index and holiday climate index in major European urban destinations[D]. Ontario: University of Waterloo, 2013.
[17]	胡桂萍, 李正泉, 邓霞君. 丽水市旅游气候舒适度分析[J]. 气象科技, 2015, 43(4): 769-774. DOI: 10.19517/j.1671-6345.2015.04.035. doi: 10.19517/j.1671-6345.2015.04.035
[18]	余丽萍, 陈江锋, 丁丽华. 开化县旅游气候适宜期评价[J]. 气象研究与应用, 2016, 37(3): 102-104. DOI: 10.3969/j.issn.1673-8411.2016.03.030. doi: 10.3969/j.issn.1673-8411.2016.03.030
[19]	杜正静, 潘进军, 赵卫华, 等. 中国旅游气候适宜性评价研究[J]. 气象与环境科学, 2018, 41(4): 17-26. DOI: 10.16765/j.cnki.1673-7148.2018.04.003. doi: 10.16765/j.cnki.1673-7148.2018.04.003
[20]	蔚丹丹, 李山. 气候舒适度的体感分级:季节锚点法与中国案例[J]. 自然资源学报, 2019, 34(8): 1633-1653.
[21]	蔚丹丹, 李山, 张粮锋, 等. 旅游气候舒适性评价:模型优化与中国案例[J]. 旅游学刊, 2021, 36(5): 14-28. DOI: 10.19765/j.cnki.1002-5006.2021.05.007. doi: 10.19765/j.cnki.1002-5006.2021.05.007
[22]	龙亚萍, 李立华. 四川省山地旅游气候资源评价[J]. 山地学报, 2018, 36(1): 116-124. DOI: 10.16089/j.cnki.1008-2786.000307. doi: 10.16089/j.cnki.1008-2786.000307
[23]	李正泉, 肖晶晶, 马浩, 等. 丽水市生态气候休闲养生适宜性分析[J]. 气象与环境科学, 2016, 39(3): 104-111. DOI: 10.16765/j.cnki.1673-7148.2016.03.014. doi: 10.16765/j.cnki.1673-7148.2016.03.014

分值	体感温度T_E/℃	日降水量R/mm	审美因子A/%	风速V/(m·s^-1)
10	23~25	0	11~20	0.3~2.7
9	20~22	<3	1~10	2.8~5.5
9	26		21~30
8	27~28	3~5	0	0
8			31~40	5.6~8.2
7	18~19		41~50
7	29~30
6	15~17		51~60	8.3~11.0
6	31~32
5	11~14	6~8	61~70
5	33~34
4	7~10		71~80
4	35~36
3	0~6		81~90	11.1~13.8
2	-5~ -1	9~12	>90
2	37~39
1	<-5
0	>39	>12		13.9~19.4
-1		>25
-10				>19.4

Analysis of the holiday climate index variation characteristics in Henan Province for the past 30 years

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 23

Related Articles 1

Metrics

Comments

Recommended 0