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      • Open Access Article

        1 - The Impact of Urban microclimates on Environmental Comfort in Public open spaces (Case study: Fields at the end of Vakilabad, Mashhad)
        Farnosh Vazin Sanaz Saedi Monfared Toktam Hanaei
      • Open Access Article

        2 - Spatio-temporal Assessment of Climatic Comfort in Hamedan Province Using Physiologically Equivalent Temperature (PET) and Nervous Stress Indices
        Mohammad Ghasem Torkashvand
        Abstract Climate conditions is one of the most important and affecting factors on different aspects of life, especially the health and human comfort. In this study, using bioclimatic and Tourism indices including; Physiological Equivalent Temperature (PET) and Nervous S More
        Abstract Climate conditions is one of the most important and affecting factors on different aspects of life, especially the health and human comfort. In this study, using bioclimatic and Tourism indices including; Physiological Equivalent Temperature (PET) and Nervous Stress, climatic comfort of Hamedan province is evaluated. For each of the indicators, were used climatic parameters of the 9 meteorological stations in the province in 14-year period (2014- 2001). Then, different areas of the province have been evaluated in terms of above bioclimatic indices. The results show that different areas of the province have a large variety of climatic comfort during the year. Based on PET, in May (Malayer, Nahavand, Tuyserkan, Razan, Ghahavand and Famenin Stations), in September (Hamadan station) and in October (Asadabad, Famenin and Ghahavand) are under optimum climate conditions, and "non stress". Also, based on the Nervous Stress index; in June, Hamedan and Famenin stations and in July, all stations are in "warm and comfortable" condition. In August; Hamedan, Malayer, Nahavand and Razan stations are in "Comfortable" and the rest of the stations are in "warm and comfortable". In September; all stations are in the "cool" condition. In general, according to the above indicators examined in terms of climatic comfort, the best time in the province are May, September and October respectively. However, based on Nervous Stress index, comfort conditions provides only in August. During this period, in addition to the optimal climatic comfort, natural beauty across the province is also very favorable. Manuscript profile
      • Open Access Article

        3 - Evaluation and Analysis of Tourism Climate Comfort Index of East Azarbaijan Province Using the Tourism Climate Index (TCI), Physiological Equivalent Temperature (PET) By Applying GIS
        Sakineh Sojoodi Firouz Aghazadeh Nagizadeh Fahimeh Leila Akhavan
        In this research in order to evaluate the tourism Climate Comfort Index, using the Tourism Climate Index (TCI), Physiological Equivalent Temperature (PET) and climate data gathered from 13 synoptic stations of the state, the state’s comfort condition is explained More
        In this research in order to evaluate the tourism Climate Comfort Index, using the Tourism Climate Index (TCI), Physiological Equivalent Temperature (PET) and climate data gathered from 13 synoptic stations of the state, the state’s comfort condition is explained through one year. In this way, first the climate data related to the studied stations are gathered from Meteorological Organization of the State. After analyzing and processing in Excel and preparing information banks for each one of the indexes with the separation of the each month of the year for every station was calculated. Later, in order to find TCI index, information about this indicator was transferred to the TCI_Calculator software and PET index was transferred to the RayMan Software, Then, using the technique of GIS, Maps of studied indexes were prepared for each month of the year and for each of the stations. The result of studying these indexes showed that, the tourism’s conditions of comfort in the studied stations over the year, based on TCI indicator on January, February, April, July, August, March, May, October, November and December (with three classifications of, marginal, acceptable and good) were the worst in terms of comfort, other months (with three classifications of, very good, excellent and ideal) had the best condition in terms of Tourism comfort. Based on PET indicators June, July, August, May and September had better comforting conditions for tourists, the rest of the year was chosen to have the worst comfort condition for tourists. Manuscript profile
      • Open Access Article

        4 - Analysis Time Of Comfort Environmental Bio Climate Based On Wetland Hshylan Models Bio Climate
        mehdi mehdinasab
        One of strategy which have recently been considered in most countries, tourism development in deprived areas with potential for tourism development. If ecotourism and nature guides to the proper planning and management, can be a creator or triggers a process for achievi More
        One of strategy which have recently been considered in most countries, tourism development in deprived areas with potential for tourism development. If ecotourism and nature guides to the proper planning and management, can be a creator or triggers a process for achieving sustainability development in the least developed areas. Hashilan wetlands in having the biodiversity, numerous tourist attractions, animal and plant habitats and other natural phenomena of attraction and an important place in the West of the country. Human comfort conditions, conditions that collection of the heat for at least 80percent population is appropriate, Under such conditions that human Argansym can can maintain existing balance of heat itself in best shape, without being deficiency or excess energy. The study of environmental factors affecting human comfort, Variables the mean daily air temperature in Celsius, the average wind speed in meters per second relative humidity in percent, Kermanshah synoptic stations during statistical period 1981- 2017 have been used. Evaluation results thermal comfort in wetland Hashilan based on models The psychological pressure Index, Baker, wind chill index shows that at 4 months of December to April because of the cold weather, climate conditions, lack of comfort in the pond there Hashilan. Manuscript profile
      • Open Access Article

        5 - Investigating the Relationship between Telecommunication Patterns and Climate of Tourism Comfort in Guilan Province by UTCI Method
        Amir Gandomkar Saeideh Moradmand Ahmad Khademolhosseini Alireza Abbasi
        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 More
        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. Manuscript profile