龙胜县旅游气候舒适度评价与开发利用
摘要: 旅游者在选择旅游地时，气候舒适度是重要影响因素之一。龙胜县天象与气候类旅游资源丰富，特色明显，极具开发潜力，基于龙胜县气象站近33a（1981—2013年）的逐月气象数据，及2000年到2013年逐日气象因素统计资料，采用人体舒适度与着衣指数对龙胜县的旅游气候舒适度进行分析评价。结果表明，龙胜县旅游气候舒适期较长，3到11月是比较舒适的季节，其中4，5，9，10月最舒适，6至8月温暖较舒适，3，11月凉爽较舒适，12，1与2月的舒适期天数较少，而且全年着衣舒适天数为199 d 。最后提出了龙胜县旅游气候资源开发利用建议，包括合理安排旅游项目和活动，注重提高天象与气候旅游资源质量，关注气象灾害频发时间，做好预防措施与保障旅游安全，积极宣传天象与气候旅游资源，做好相关预报工作。
On Evaluation and Utilization on Tourism Climate Comfort Degree in Longsheng County of China
Keywords:
- 旅游气候 /
- 人体舒适度 /
- 着衣指数 /
- 开发利用 /
- 龙胜县
Abstract: Climate comfort degree is one of the important factors on selecting the tourism destination for tourists .The weather and climate tourism resources are rich and the characteristic is obvious in Longsheng county of Guangxi Province ,which has great potential for the tourism development .Based on 33 years (from 1981 to 2013) the monthly meteorological data and 14 years (from 2000 to 2013) daily meteorologi‐cal factors of the meteorological station in Longsheng County , the paper has analyzed and evaluated tourism climate comfort degree in Longsheng according to calculation of human comfort index and clothing index .As shown from the analysis ,most days in one year of Longsheng County are comfortable climate conditions for tourism ,the relatively comfortable season is from March to November ,the best climate comfort months is April ,May ,September and October ,the warm and more comfortable is from June to August ,the cool and more comfortable is in March and November ,and the annual clothing comfort is for 199 days .Finally ,some suggestions for exploiting the climatic resources in Longsheng County were provi‐ding in this paper ,such as taking full advantage of the tourism climate condition in Longsheng ,arranging tourism projects and activities reasonably ,emphasizing to improve the quality of tourism resources of the weather and climate ,paying attention to the frequent time of meteorological disasters ,taking early precau‐tions and ensuring travel safety ,and promoting the weather and climate tourism resources actively ,doing the relevant forecast .
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