Analysis of carbon footprint effects on the sustainability of Tehran metropolis

فرزانه ساسان پور

The metropolis of Tehran has developed on the basis of modern urbanization and in the last decade, it has witnessed transformations such as the reduction of the biological capacity of the region, uncontrollable socio-economic effects, exorbitant costs in the direction of health protection and also the treatment of the diseases that have arisen. is the aim of the research being to analyze the effects of carbon footprint on the sustainability of Tehran metropolis. The current research is applied and descriptive-analytical in terms of research method. Library and field method (questionnaire) was used to collect information. The statistical population of this study is Tehran metropolis with a population of 8,693,706 people, and Cochran's formula was used to select the sample, and 384 people were determined and completed by simple random sampling. Information processing was done with SPSS software, and the results of the questionnaire were analyzed with structural equation method and PLS software. The findings of the research showed that the situation of the carbon index in Tehran is in an unfavorable situation. The highest factor loading or standardized regression coefficient for the low-carbon planning index and the lowest for the low-carbon society index is 0.218. Also, it was found that low-carbon planning had the greatest impact on carbon reduction in Tehran metropolis. After that, the indicators of low-carbon urban development, low-carbon environment, low-carbon economy, low-carbon transportation, low-carbon construction and low-carbon society in the reduction of carbon in the city of Tehran respectively have There were different effects.

Dynamical and Synoptic Characteristics of Extreme Precipitation Events in Western Iran (Case Study: Kurdistan Province)

Mohammad Darand

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.

تحقیقات کاربردی علوم جغرافیایی

Analysis of carbon footprint effects on the sustainability of Tehran metropolis

Dynamical and Synoptic Characteristics of Extreme Precipitation Events in Western Iran (Case Study: Kurdistan Province)