2024 : 11 : 21
Saleh Mohammadi

Saleh Mohammadi

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 32635
HIndex:
Faculty: Faculty of Art and Architecture
Address: Department of Architectural Engineering, University of Kurdistan, PO Box 416, Sanandaj, Kurdistan, Iran.
Phone: 0098-87-33662963

Research

Title
Analysis of Urban Form Typology Using Urban Heat Island Indicators: Case Study of Ferdous Neighborhood of Tabriz
Type
JournalPaper
Keywords
Urban form, typology, Urban heat island, Tabriz, Grasshopper plugins
Year
2023
Journal Frontiers in Ecology and Evolution
DOI
Researchers Zanyar Abdi ، Hooshmand Alizadeh ، Saleh Mohammadi ، Saber Sabouri

Abstract

Urbanization, with the acceleration of construction operations in cities, is the main reason for in-creasing the absorption of thermal energy in urban areas, which leads to climate change, especially urban form has responded differently depending on environmental dimension of urban context concerning the urban heat island intensity. In the last Studies, Researchers have not Codified the effect of urban form on heat islands in the form of a comprehensive model. It is necessary to examine each urban context according to its own conditions. Accordingly, this study aims to identify the effect of building form variability on reducing the intensity of heat islands in Ferdous context of Tabriz in the form of comprehensive modelling as a new task. The research gap is the effect of the form of buildings on the intensity of UHI, and the question will be asked whether it is possible to control the intensity of UHI by changing the form by influencing the climatic indicators. Our conceptual framework was based on urban form typologies in microscale affect the amount of energy intake and consumption, especially the intensity of heat islands, and whether the use of desirable types can be responsive to reducing the intensity of these islands? In this regard, using a quantitative analysis method in Rhinoceros software, especially using Grasshopper plugins, urban form is investigated. This analysis includes both the coldest and hottest days of the year. The results show that the optimal model is the cross typology.