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        1 - Classification of residential and tourism comfort using climatic indicators (Case study: Ilam province, Iran)
        Ali Arefi Mohsen Ranjbar Reza Borna
        Identifying areas prone to residential comfort and tourism based on climatic parameters is one of the most used topics for climate, geography and tourism researchers. Considering the importance of the topic, the current study aimed to classify the climatic and tourism c More
        Identifying areas prone to residential comfort and tourism based on climatic parameters is one of the most used topics for climate, geography and tourism researchers. Considering the importance of the topic, the current study aimed to classify the climatic and tourism comfort using climatic indicators in Ilam province. First, using climatic data of rainfall, temperature, relative humidity and speed from six synoptic stations, descriptive statistics were analyzed. The statistical period of the study case was 30 years (water year 2010-2018 to 2019-2019). Next, using Baker's climatic indices, effective temperature and probability distribution, the degree of climatic comfort was determined for each month. This research analyzed the consequences of changes in temperature and precipitation on the climatic comfort of Ilam province in terms of geographical territory. The results of Baker's climatic indices, effective temperature and probability distribution showed that the months of April, May, October, November and March are prone to climatic comfort. According to the results, the cities of Darreh Shahr and Lomar have the greatest potential for climatic comfort in the months of transition from heat to cold (October and November) and cold to heat (April and May). In general, the northern and eastern cities of Ilam province have higher climatic comfort in spring and autumn. On the other hand, in winter season, the southern and border cities (Mehran and Dehloran) have a comfortable climate. Manuscript profile