The Determining Tourism Climate Calendar and Testing Trend Based on RayMan and ITA Model (Case study: Plodokhtar County)

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MIRHASHEMI HAMID; SHARAFI SIYAMAK; Ariyantabar Habib

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Paper Information

Journal: JOURNAL OF GEOGRAPHICAL STUDIES OF MOUNTAINOUS AREAS Year:2021 | Volume:2 | Issue:2 (6) Page(s): 67-82

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Information Journal Paper

Title

The Determining Tourism Climate Calendar and Testing Trend Based on RayMan and ITA Model (Case study: Plodokhtar County)

Author(s)

MIRHASHEMI HAMID | SHARAFI SIYAMAK | Ariyantabar Habib | Issue Writer Certificate

Keywords

Tourism climate calendar

Testing trend

Bio-Climate

Poldokhtar

Abstract

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 ManKendall 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.

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APA: Copy

MIRHASHEMI, HAMID, SHARAFI, SIYAMAK, & Ariyantabar, Habib. (2021). The Determining Tourism Climate Calendar and Testing Trend Based on RayMan and ITA Model (Case study: Plodokhtar County). JOURNAL OF GEOGRAPHICAL STUDIES OF MOUNTAINOUS AREAS, 2(2 (6) ), 67-82. SID. https://sid.ir/paper/415243/en

Vancouver: Copy

MIRHASHEMI HAMID, SHARAFI SIYAMAK, Ariyantabar Habib. The Determining Tourism Climate Calendar and Testing Trend Based on RayMan and ITA Model (Case study: Plodokhtar County). JOURNAL OF GEOGRAPHICAL STUDIES OF MOUNTAINOUS AREAS[Internet]. 2021;2(2 (6) ):67-82. Available from: https://sid.ir/paper/415243/en

IEEE: Copy

HAMID MIRHASHEMI, SIYAMAK SHARAFI, and Habib Ariyantabar, “The Determining Tourism Climate Calendar and Testing Trend Based on RayMan and ITA Model (Case study: Plodokhtar County),” JOURNAL OF GEOGRAPHICAL STUDIES OF MOUNTAINOUS AREAS, vol. 2, no. 2 (6) , pp. 67–82, 2021, [Online]. Available: https://sid.ir/paper/415243/en

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