Investigating the Relationship between Telecommunication Patterns and Climate of Tourism Comfort in Guilan Province by UTCI Method

Subject Areas :

Amir Gandomkar ¹ , Saeideh Moradmand ² , Ahmad Khademolhosseini ³ , Alireza Abbasi ⁴

1 - Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 - Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran
3 - Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran
4 - Department of Geography, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Received: 2020-08-14 Accepted : 2020-09-16 Published : 2020-11-21

Keywords: Gilan province, Climate Comfort, Teleconnection, UTCI Model, Man-kendal Test,

Abstract :

One of the most important climatic elements that is influenced by Teleconnection patterns is temperature and precipitation, both of which are the most influential factors in the study of tourism comfort climate. The purpose of this study is to investigate the climate of tourism comfort in Gilan province in the interval (1980-2016) using the UTCI model and also to investigate the relationship between tourism comfort climate of Gilan province with Teleconnection patterns. The climate comfort of Gilan province is one of the atmospheric signals. Investigating this relationship can help the necessary planning for tourism development in this province and proper location. Using the Mann-Kendall trend test, the results show that in the last 37 years, the value of the UTCI index has decreased in July and the extreme heat stress in this month has decreased; But in other months of the year, no specific trend was seen for this index. Also, the correlation between the indicators of tourism comfort climate in the province with Teleconnection patterns through Pearson correlation coefficient showed that out of 22 models studied, 9 models including TNA, NTA, SOLAR FLUX, NCP, SOI, NAO, MOON SOON, AMM, AMO are directly or inversely related to UTCI in different months of the year and at 95% and 99% significance levels.

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