A Comprehensive Evaluation of Tourism Climate Suitability in Qinghai Province, China

Qinghai Province is an important component of the Qinghai-Tibet Plateau in China. Scientific evaluation of the suitability of Qinghai's climate for tourism can contribute to overcoming obstacles posed by climate on sustainable tourism development in Qinghai Province, including disparities between the low and high seasons, high altitude health concerns, and weather events. A tourism climate suitability evaluation model of the Qinghai-Tibet Plateau is constructed (Tourism Climate Suitability Index, or TCSI), and tourism climate suitability is comprehensively evaluated for Qinghai Province from climate data from 1960 to 2009. Results show that: (I) There is clear distributional characteristics of spatial-temporal variability of TCSI values in Qinghai Province. (II) Tourism climate suitability in Qinghai Province has significant seasonal and regional differences. The year is divided into a very suitable period (July and August), suitable tourism periods (from April and October), less suitable periods (From Nov to Mar). June to August is the most suitable tourism period in Qinghai. Qinghai Province is divided into five levels of tourism climate suitability: most suitable regions, very suitable regions, suitable regions, less suitable regions, and unsuitable region. (III) The key factor which influences regional differences in tourism climatic suitability is atmospheric oxygen. And the key factors which chiefly influence seasonal differences of tourism climate suitability are temperature and humidity, the wind chill factor, and barrier weather.

Analysis on Human Comfort of Tourism Climate in Binzhou City

According to meteorological data at Binzhou Meteorological Station during 1981 -2010, basic climate characteristics of meteorological factors （such as temperature, relative humidity and wind velocity, etc. ） related to human comfort are analyzed, and temporal-spatial distribution characteristics of human comfort in Binzhou City are studied. Then, human comfort of tourism in Binzhou City is evaluated. The impacts of each meteorological factor on comfort in different seasons and change tendency of comfort are discussed, and the optimal tourism time in Binzhou City is analyzed.

Temporal Characteristics of Tourism Climate Comfort in Kangding City in Recent 60 Years

Based on the climate observation data of Kangding City in recent 60 years,the changing trends of temperature and humidity index and wind efficiency index in Kangding City are analyzed.The results show that the annual average temperature and humidity index and wind efficiency index of Kangding in recent 60 years showed an upward trend,which is consistent with global warming climate.Temperature and humidity index tended to change from the cold grade to the relatively cold and cool grades,and wind efficiency index changed from the slightly cold wind grade to the cool wind grade.Seen from temperature and humidity index and wind efficiency index,the climate was comfortable and relatively comfortable from May to September,which will become an important climatic reference to attract tourists.

GLOBAL CLIMATE CHANGES AND THE TOURISM OF CHINA

The future global climate changes induced by the increased atmospheric CO2 concentration is receiving much attention from the scientific community as well as the public. Model simulations and palaeoclimatic data studies show an evident change in temperature and precipitation over China will occur under conditions of the global warming. Possible scenarios of the future climates are given here for China on the basis of synthesizing model simulations and palaeoclimatic data. Most parts of China will experience an increase in temperature, but the warming may be more remarkable in winter in h1e northern half of the country. Increase in precipitation will be seen in nearly every parts of the eastern China, and it will be larger in North and Northeast China. Impacts of the climate changes on the national tourism are assessed. Regions suitable for tourisin development in terms of climate comfortable index will shift northward. Some scenic spots and toruism facilities will be damaged due to sea level rise and increased rainfall. Some regions will benefit from the dimate change, but the tourism industry as a whole will be negatively affected.

Effects of Climate Comfort on Tourists' Network Attention: A Case Study of the Inner Mongolia Autonomous Region

Based on the data of climate and Baidu Index, the temporal and spatial variation of climate comfort and toudsts9 network attention in Inner Mongolia was analyzed, and the effect of dimate comfort on tourists, network attention. The results showed, tiiat ① Inner Mongolia had a summer-comfortable toudsm climate, and it was uncomfortable to visit Inner Mongolia in winter. With the decrease of latitude, the climate comfort index gradually rose in Inner Mongolia, with a distribution pattern of l＂ow in the east and high in the west＂. There were three types of distribution of the climate comfort index： M-shaped, inverted U-shaped, and inverted V-shaped ② Toutasts5 network attention had certain dependence on the development level of tourism in wrious regions. The degree of network attention of regions with a high level of tourism development was also relatively high, and its distribution was more uniform. Monthly indexes of the tourists, network attention had three types： M-shaped, inverted U-shaped, and inverted V-shaped. ③ On the whole, climate comfort had a positive impact on the degree of network attention, butwith the improvement of the level of tourism development, the impact of climate comfort on the degree of attention of visitors would be weakened.④ The impact of climate comfort on the tourists, network.

Pulling Vs. Pushing:Effect of Climatic Factors on Periodical Fluctuation of Russian and South Korean Tourist Demand in Hainan Island,China

While climate is an important factor attracting tourists to certain destinations,it can also motivate people residing in a country with a harsh climate to move to another location.By applying X-12 decompositions and a panel data regression analysis,this study analyzes the pull and push effects of climatic seasonal factors between destination(Hainan Island,China) and source countries(Russia and South Korea).The findings show that climatic seasonal factors have significant pulling and pushing effects on seasonal patterns of tourism demand,with temperature being the main factor.Furthermore,the number of paid vacation days in the source country affects that country's sensitivity to climatic seasonal factors;countries with a higher numbers of paid vacation days are more sensitive to climatic conditions.Lastly,future global warming may causes the aforementioned pull and push effects to abate,which will have an unavoidable influence on tourism industries.