利用观测和区域气候模式数据评估匈牙利旅游业的气候变化风险

IF 1.4 Q2 GEOGRAPHY
A. Kovács, A. Király
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引用次数: 5

摘要

气候是旅游业的关键资源,因为它影响旅游活动的范围和旅游供应的发展。旅游业对气候因素的变化高度敏感。在制定适应战略时,探索特定地区和特定时间的旅游气候条件是否合适,以及未来可能如何变化,这一点极为重要。这可以通过旅游业面临的气候条件和气候变化来描述。在这项研究中,我们借助修改后的旅游气候指数,分析了匈牙利地区层面和每月(3月至11月)的旅游业暴露情况。首先,基于网格观测数据库CarpatClim HU对当前条件进行评估,该数据库构成了评估未来条件的基础。然后,使用区域气候模型输出对预期的未来情况进行分析。为了正确解释气候预测的不确定性,我们使用了两个不同的模型结果(HIRHAM5和RACMO22E),依赖于两种排放情景(RCP4.5和RCP8.5)。结果表明,最有利的条件出现在春季(MAM)和秋季(SON),而在夏季(JJA),观察到气候潜力下降。根据未来趋势,通常情况下,预计5月至9月之间会有所下降,但其他调查月份通常会有所改善。对于给定的排放情景,两个模型实验的预期趋势非常相似,而对于给定的气候模型,RCP8.5情景的使用表明变化比RCP4.5更大。研究结果表明,气候变化将对匈牙利的旅游潜力产生明显影响,因此旅游战略制定必须比以往更多地考虑这一影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of climate change exposure of tourism in Hungary using observations and regional climate model data
Climate constitutes key resources for tourism since it influences the range of tourism activities and the development of tourism supply. Tourism is highly sensitive to changes in climate elements. It is extremely important for adaptation strategy-making to explore whether the tourism climate conditions in a given region and at a specific time are appropriate and how they may change in the future. This is described by the exposure of the tourism sector to climate conditions and climate change. In this study, we analyse the exposure of tourism for Hungary on a district level and every month (from March to November) with the help of the modified Tourism Climate Index. First, the present conditions are evaluated based on a gridded observational database CarpatClim-HU, which forms the basis for assessing the future conditions. Afterwards, the expected future circumstances are analysed using regional climate model outputs. In order to interpret the uncertainties of the climate projections properly, we use two different model results (HIRHAM5 and RACMO22E) relying on two emission scenarios (RCP4.5 and RCP8.5). The results have demonstrated that the most favourable conditions are found in spring (MAM) and autumn (SON), while in summer (JJA) a decline in climate potential is observed. According to the future tendencies, generally, a decline is expected between May and September, but the other investigated months usually bring an improvement. For a given emission scenario, the expected trend is quite similar for the two model experiments, while for a given climate model, the use of RCP8.5 scenario indicates larger changes than RCP4.5. The results prove that climate change will have an obvious impact on tourism potential in Hungary, and therefore tourism strategy development has to take into account this effect more than before.
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来源期刊
Hungarian Geographical Bulletin
Hungarian Geographical Bulletin Social Sciences-Geography, Planning and Development
CiteScore
3.20
自引率
0.00%
发文量
24
审稿时长
24 weeks
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