Evaluation of coastal potential using climatic elements in the development of sustainable urban tourism (case study: Mazandaran province)

One of the important and fundamental needs in order to develop the capabilities and capabilities of tourism in a region is the suitable climate for tourism. The use of tourism capabilities and capacities requires the recognition and evaluation of comfort climate using accepted scientific methods to systematically determine the effect of climatic elements on the activities of tourists. Based on this necessity, in the current research, the spatial-temporal distribution of tourism climate conditions in Mazandaran province has been investigated using the Beach Climate Index in the ArcGIS software environment. In order to implement this index and achieve the goals of the research, the daily time series data of the meteorological stations of Mazandaran province during the years 1980 to 2018 were used. According to the needs of the model and method used, climate elements (on average) including relative humidity, wind speed, sunny hours, monthly precipitation, average daily and monthly temperature, cloudiness and number of foggy days have been used. After calculating the values of the CPI index in the J environment. Oh you. S, interpolation methods were used to prepare tourism activity zoning maps with the least amount of error in interpolation. The results of the coastal tourism climate index at the level of Mazandaran province on a monthly scale indicate that between the coastal and mountainous areas Different patterns prevail in terms of tourism comfort index at different times of the year. In autumn and spring, in the coastal parts of the province, especially the parts of the eastern coast, the quality of beach rest is in a better condition. Meanwhile, in the same period, cold stress prevails in the mountainous parts and reduces the quality of the climatic comfort index compared to the coastal areas. But in the summer months, due to the rule of heat stress in the coasts, the mountainous areas have a more suitable climatic comfort quality according to the BCI index.