Dr Ata Ghaffari Gilandeh, Ms Homa Vaezi, Mr Navid Ghaffari Chanzanagh,
Volume 0, Issue 0 (3-2007)
Abstract
New urban fabrics in our country, despite previous planning efforts, often face quality crises. In this context, the present research evaluates the quality of urban spaces in the new urban fabric of Ardabil, emphasizing the components of environmental psychology. Initially, through a review of the theoretical literature, the effective components of environmental psychology on the quality of urban spaces were identified, comprising 20 components across three dimensions. These components were then assessed through a questionnaire. The statistical population of the research includes residents of Phase 1 and Phase 2 of the Sabalan Township, Rezvan Township, Sina Township, and Zaranas Township that its population is about 198644 people. The sample size is 384 individuals. The validity of the questions was confirmed by three university lecturers and experts in this field, and the Cronbach's alpha coefficient of 0.845 indicated the reliability of the questionnaire. For the analysis of the data obtained from the questionnaires, all statistical calculations were performed using SPSS and LISREL software, employing structural equation modeling and second-order confirmatory factor analysis methods. The results from the model fit indicated the correlation between latent variables and observed variables, as well as the calculated T-values for all first-order and second-order factor loadings, demonstrating the external validity of the research model. According to the findings, the environmental health component with a factor loading of 0.75 in the content factors category, the spatial readability component with a factor loading of 0.80 in the physical factors category, and the accessibility to daily commercial services component with a factor loading of 0.58 in the functional factors category have the most significant impact on improving the quality of urban space in the new fabric of Ardabil. The research findings indicated that the average quality of the components of environmental psychology, according to respondents, reflecting the moderate level of these components in the studied area.
Dr. Mohammad Darand, Mr. Mehran Ghaffari,
Volume 25, Issue 0 (Special Issue 2026)
Abstract
Extreme precipitation events pose a significant and growing threat to society, often leading to floods, landslides, and widespread socio-economic damage. Daily precipitation data collected from 9 rain gauges during 1/1/1991 to 31/12/2023. To identify days associated with heavy precipitation, the 95th-percentile threshold was employed. Days on which the recorded precipitation exceeded the long-term mean of the 95th percentile at more than half stations were classified as heavy-precipitation days for Kurdistan Province. Based on this threshold and criterion, 210 days were selected. Two data arrays with an S-mode structure were constructed for sea-level pressure and 500-hPa geopotential height. Using Principle Component Analysis (PCA) analysis, components explaining more than one percent of the variance were retained as significant modes. For sea-level pressure, nine components were identified, and for the 500-hPa geopotential height, eight components were extracted. Together, these components explained over 92% of the variance in sea-level pressure and more than 95% of the variance in the 500-hPa geopotential height over the study domain. Cluster analysis (CA) performed on the score matrix of the 17 components was then used to identify the prevailing circulation patterns.
