Mirhashemi H, Sharafi S, Ariyantabar H. The Determining Tourism Climate Calendar and Testing Trend Based on RayMan and ITA Model (Case study: Plodokhtar County). JGSMA 2021; 2 (2) :71-89
URL:
http://gsma.lu.ac.ir/article-1-154-en.html
1- Assistant Professor, Department of Geography, Faculty of Litrature and Humanities, Lorestan University, Khorramabad, Iran. , mirhashemi.h@lu.ac.ir
2- Assistant Professor, Department of Geography, Faculty of Litrature and Humanities, Lorestan University, Khorramabad, Iran.
3- Ph.D in Department of Geographical Sciences, Faculty of Litrature and Humanities, Razi University, Kermanshah, Iran.
Abstract: (4903 Views)
Climate is one of the most important factors in the development and restriction of the tourism industry, with any change or fluctuation leading to a change in the tourism industry. In this study, RayMan model and PMV and PET bio-climate were used to identify the tourism calendar in Poldokhtar, which has unique historical and natural attractions. Also, using nonparametric tests Man-Kendall and Sen’s Estimator and ITA model the uniform and Non-uniform trend of tourism climate change in this city was evaluated. The results of the RayMan model show that the favorable conditions of the tourism climate are only available in April and October, thus human does not need to change the ambient temperature conditions in this month and is satisfied with the ambient temperature. Also in November and March there are more or less favorable conditions for tourism in spite of very low heat and cold stresses. No severe cold stress was observed in any of the months. In case of extreme heat stress, corresponding to PMV index exceeding 3.5 and PET index exceeding 41 degrees Celsius from June to September, unbearable conditions will occur in Poldokhtar tourism climate. Evaluation of trends in meteorological and tourism climate changes indicates that temperature and bio-climate indices have increased, on the one hand, the thermal stresses of Poldokhtar have increased and on the one hand, the amount of cold stress has decreased. On other hand, results of ITA model show, which Non-uniform is changes of PET in April and March. Also, in more month is different internal the intensity of slope.
Type of Study:
Research |
Subject:
Special Received: 2021/04/18 | Accepted: 2021/05/22