Investigation of Density factor in Urban Morphology on Micro-Climate Parameters in Cold and Dry Areas (Case Study: Tabriz City, Iran)

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Ali Akbarzadeh, Fatemeh Bavali


In recent decades, in third world countries, especially in the Middle East, the concept of urban micro-climate has undergone many changes in the process of development and construction, leading to environmental crises and the discrete structure of energy consumption in urban blocks. The urban form, the product of morphological changes in recent periods, has had significant effects on the micro-climate of the city. The city of Tabriz in the cold and dry areas of Iran has suffered from the inadequacies of the urban form and adverse effects on the micro-climate of the city as a result of unbalanced development. The main aim of research as parametric study on the interactions between urban morphology and microclimate is to investigate density metric to analysis effect amount in micro-climates. The research is analytical-descriptive and method of collecting data in the form of documents includes literature review, modeling and simulation using Envi-met software and density metric explain modes of a hypothetical in 10 scenarios and are presented in the form of two groups. The construction parts of the hypothetical areas are located in the urban area of Tabriz city, Iran. All scenarios were assumed to be in the same area configuration, where buildings are located in 25 plots of 40 m x 40 m. The result shows Investigation the average ratings obtained from microclimatic simulation of the first group of scenarios shows that by keeping FAR constant and changing BSC, one cannot expect a specific sequence of changes in microclimatic parameters in the space around the buildings but in the case of the second scenario group which is presented with constant BSC and variable FAR, there is a significant sequence in the order of the obtained ranks and the change trend in the average parameters. The results show scenario A2 with FAR 1 and BSC 40% with the lowest average value (3.5) of the total of four parameters of simulating the hottest and coldest day has achieved the best result and is introduced as the best scenario. For future researches, it is possible to propose a more focused investigation on each of the mentioned parameters.


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