واکاوی تغییرات اقلیم آسایش گردشگری سکونتگاههای انسانی استان گیلان با استفاده از شاخص (PET)

محورهای موضوعی : مطالعات برنامه ریزی شهری و منطقه ای

سعیده مرادمند ¹ (دانشجوی دکتری آب و هواشناسی، مرکز تحقیقات گردشگری، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
امیر گندم کار ² (دانشیار، مرکز تحقیقات گردشگری، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
احمد خادم الحسینی ³ (دانشیار، مرکز تحقیقات گردشگری، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
علیرضا عباسی ⁴ (استادیار، مرکز تحقیقات گردشگری، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)

تاریخ دریافت : 1397/03/31 تاریخ پذیرش : 1397/04/25 تاریخ انتشار : 1398/12/01

کلید واژه: گردشگری, اقلیم آسایش, استان گیلان, مدل PET,

چکیده مقاله :

با توجه به اهمیت صنعت گردشگری و وابستگی این صنعت به اقلیم به عنوان یک فاکتور تعیین کننده جهت برنامه ریزی گردشگران , لزوم شناخت شرایط آب و هوایی مطلوب و نا مطلوب برای گردشگران داخلی و خارجی امری ضروری است تا متقاضی بتواند متناسب با آن , برنامه ریزی خود را از نظر زمان حرکت ، نوع لباس و تجهیزات مورد نیاز انجام دهد. استان گیلان با توجه به شرایط جغرافیایی و برخورداری از عوامل طبیعی نظیر نواحی ساحلی، جلگه ای و کوهستانی به عنوان یکی از گردشگرپذیرترین مناطق کشور نیازمند تقویم مکانی و زمانی گردشگری میباشد و با تهیه این تقویم جامع می تواند گامی مهم در زیربنای آب و هوای زیستی گردشگری برداشت. هدف از این پژوهش بررسی اقلیم آسایش حرارتی استان گیلان بر اساس آمار آب و هوائی ایستگاههای سینوپتیک در فاصله زمانی(1980 - 2016) و با استفاده از مدل PET)) و تحلیل آن بر اساس نقشه های بدست آمده از نرم افزارGIS می باشد تا به کمک آن بتوان برنامه ریزیهای لازم را جهت توسعه گردشگری این استان و مکان یابی و زمان یابی مناسب ارائه داد.نتایج بدست آمده نشان میدهد در 37 سال اخیر در ماه جولای که مصادف با تاریخ شمسی 10 تیر تا 10 مرداد ماه می باشد مقدار شاخص PET روند کاهشی دارد و شرایط اقلیم آسایش در این ماه بهتر شده و از تنش گرمای شدید کاسته شده است .همچنین ماههای اکتبر و می (اردیبهشت و مهر) از جمله مناسبترین ایام برای گردشگری از لحاظ اقلیم آسایش می باشد

چکیده انگلیسی:

With attention to the importance of the tourism industry and its dependence on the climate as a determinant factor for the planning of tourists, the need to understand the desirable and desirable weather conditions for domestic and foreign tourists is necessary so that the applicant can adapt to it, planning In terms of travel time, type of clothing and equipment required. Guilan province, in terms of geographical conditions and having natural features such as coastal, plain and mountainous areas, as one of the most volatile areas of the country, requires a timetable for tourism, and by providing this comprehensive calendar can Take an important step on the basis of the climate of the environment Tourism. The purpose of this study was to investigate the thermal comfort climate of Guilan province based on weather stations of synoptic stations in time interval (1980 - 2016) using PET model) and analyze it based on maps obtained from GIS software. Its assistance could provide the necessary planning for the development of tourism in the province and the appropriate location and timing. The results show that the past 37 years in July, which coincided with the solar date from July 10 to August 10, the index of the PET index has been decreasing, and the climate condition has improved in this month and the heat stress has declined. Also, October and May (May and October) are among the most suitable periods for tourism in terms of comfort climate.

منابع و مأخذ:

Ahmad Abadi, A. Farajzadeh, M. (2010). Evaluation and zoning of the tourism climate in Iran using the Tourism Climate Index (TCI). Journal of Natural Geography, 42, 42-43. (in Persian)

Arvin, A. Shojaei Zadeh, K. (2014). Assessment of Tourism Comfort Climate Conditions of Shiraz City By Physiological Temperature (PET) and Average Estimated Survey (PMV) Index. Natural History Journal, 26, 98-87. (in Persian)

Ataee, E. Hashemi Nasab, S. (2011). Evaluation and zoning of the tourism climate of Isfahan province using PET index and geographic information system, Proceedings of the first conference of Tourism Management and Sustainable Development with TMSD of Cultures, Islamic Azad University Marvdasht, p. 27. (in Persian)

Darabi, S. Josie A. (2015). Determination of tourism climate index of Bam city in order to establish the use of tourism development. Journal of Sustainability, Development and Environment, 4, 51- 41.  (in Persian)

Delavare, M. Moradi Far, A. (2013). Assessment of turism Comfort Climate in Guilan Province Using Total Temperature (THI), National Conference on Tourism. Geography and Sustainable Environment. (in Persian)

Dube, K., Nhamo, Godwell. (2018). Climate variability, change and potential impacts on tourism: Evidence from the Zambian side of the Victoria Falls. Environmental Science & Policy, 84,  113-123

Fallah Qalheri, AH. Rezaei, H. (2016). Determination of Climate Comfort Index of Khorasan Razavi Province Using GIS. Urban Design & Management, 3, 88-81. (in Persian)

Frasati, F Mozafar, F Nasrollahi, F Mollaei N (2018). Environmental analysis of the internal spaces of indigenous peoples of mountainous regions of Gilan with an emphasis on thermal comfort (Case study: Dosaldeh village, Roodbar). Journal of Planning Human Resource Studies, 1, 1- 17. (in Persian)

Gandomkar, A. (2012). Zones of Comfort Comfort Climate of Isfahan Province Using Multivariate Factor Analysis. Journal of Geography (Environmental Studies), 3, 86-76. (in Persian)

Gandomkar, A. Moradmand, S. (2014). Investigating the trend of climate change in tourism comfort in Chaharmahal va Bakhtiari province using PMV index. Geographical Space of Tourism Space, 8, 14-1. (in Persian)

Ghaior, h. Gandomkar, A. Dehgani, Z (2011). Investigating the Climate Comfort of Tourism in Chaharmahal and Bakhtiari Province Using TCI Index, Tourism Conference and Sustainable Development. Islamic Azad University, Hamadan. (in Persian)

Grillakis, M., Koutroulis, A., Seiradakis, K. (2016). Implications of 2 °C global warming in European summer tourism. Climate Services, 1,  Pages 30-38.

Jahanbaksh, S., (1998). Assessment of the human climate of Tabriz and the thermal requirements of the building, Journal of Geographic Research, 48,  Pages 67-79. (in Persian)

Karimi, Yashar, (2008). Relations between climate and tourism in Tabriz. Master's Thesis Geography, University of Tehran, Pages 101. (in Persian)

Khajeh, Ch., & Khaledi, A. (2017). A Case study of evaluation and distribution of tourism climate by using TCI: baluchestan region of Iran. Journal of Geology, 7, 1227-1237. (in Persian)

Kovacs, A., Nemeth A., Unger J., & Kantor, N. (2017). Tourism climatic conditions of Hungary–present situation and assessment of future changes. Journal of the Hungarian Meteorological Service, 121(1), 79–99.

Matzarakis .A (2007). Assessing climate for tourism purposes: existing methods and tools for the thermal complex .Proceeding of the International workshop on climate and tourism and recreation. International society of Biometeorology: 171-184.

Mehdi Pour, M. (2015). Tourism climate zoning of Guilan province using modern methods. Master's thesis, Department of Geography, Islamic Azad University, Rasht Branch. (in Persian)

Mirhosseini (2016). Assessment and zoning of comfort climate of natural tourism in Yazd province using GIS and Tourism Climate Indicator (TCI). Journal of Geopolitical Research (Regional Planning), 1, 115-101. (in Persian)

Pormohammd, M., Ramezani, B., Kokabian, L (2016). Climate Estimation of the Need for Cooling and Heating and its Analysis with Gas Consumption Cost (Case Study: Anzali City). Journal of Planning Human Resource Studies, 3, 541- 552. (in Persian)

Ranjbar, F (2010). Investigating the relationship between weather conditions and annual tourism trends in Marvdasht city. Journal of Natural Geography, 3(7), 79-90. (in Persian)

Salmani Moghaddam, M. Jafari, M. (1394), Assessment of tourism Comfort Climate of Zanjan Province Using the Indicator (TCI) and GIS Technique.Journal of Tourism, No. 17, pp. 151-133. (in Persian)

Scott, D., Rutty, M., Amelung, B., & Tang M. (2016). An Inter-Comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI) in Europe. Atmosphere j, 7, 80: 2-17.

Smith, M., Diekmann, A. (2017). Tourism and wellbeing. Annals of Tourism Research, 66,  1-13

V.Michailidou, A., Vlachokostas, C., Moussiopoulos, N. (2016). Interactions between climate change and the tourism sector: Multiple-criteria decision analysis to assess mitigation and adaptation options in tourism areas. Tourism Management, 55,  1-12.

Wang, L., Fang, B., Law, R. (2018) Effect of air quality in the place of origin on outbound tourism demand: Disposable income as a moderator. Tourism Management, 68,  Pages 152-161.

Yazdanpanah, H., Barghi, H., Esmaili, A. (2016). Effect of climate change impact on tourism: A study on climate comfort of Zayandehroud River route from 2014 to 2039. Tourism Management Perspectives, 17, 82-89. (in Persian)

Zolfagari, h. (2012). An Analysis of Tourism Climate Potentials in Aras Free Zone. Journal of Geographic Space, 37, 37-19. (in Persian)