Study and Comparison of the Function of Rayman Model Parameters in Determining Proper Tourism Calendar Case study: Isfahan

Climate is one of the most important factors in determining the suitable time for recreation and tourism industry. The high population of Isfahan, its suitable location at the center of Iran and having great tourism attractions has made it to be recognized as the tourism core in Iran. In this study,...

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Bibliographic Details
Main Authors: Mohammad Baaghideh, Elaheh Asgari, Faeze Shoja, javad Jamalabadi
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2014-09-01
Series:جغرافیا و توسعه
Subjects:
Online Access:https://gdij.usb.ac.ir/article_1714_d4af648ad99e3b2632e27fe0e19c2927.pdf
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Summary:Climate is one of the most important factors in determining the suitable time for recreation and tourism industry. The high population of Isfahan, its suitable location at the center of Iran and having great tourism attractions has made it to be recognized as the tourism core in Iran. In this study, in order to determine the suitable time for recreation and tourism in Isfahan, the bioclimatical indexes (PET, PMV, SET) of Rayman model were used. For this purpose climatic parameters such as temperature, relative humidity, cloudiness and the wind speed were obtained form  the Iranian Meteorological organization (1995- 2008) period . Finally, considering the long-term average of the parameters mentioned above, the values of the indexes SET, PET, and PMV were calculated and the climate comfort time was determined. The results which are presented as calendar time show that, according to the results of PET& PMV indexes, the days 1-17 April & 20 October - 6 November are the best time period for recreation and tourism in Isfahan. But, according to the outputs of SET index, although the climatic comfort period is in the same months, but prolonged heat stresses was the dominant condition  which can’t be compatible with climate reality of the area. Finally, a comparison among 3 indexes showed that PET and PMV indexs were more compatible with Bioclimatic conditions  of  the study area.
ISSN:1735-0735
2676-7791