The Siberian High-pressure (HP) has various effects on Iran’s climate. Climate warming, especially in the last century, has raised the possibility of changes in the Outbreaks of the Siberian High-pressure extending toward Iran (OSH). In this study, to test the mentioned hypothesis, daily sea level pressure maps for 50 years (1972 to 2021) during the month in which the SH appeared more strongly in the monthly composite maps were downloaded from the NCEP/NCAR atmospheric data reanalysis database. The selection of this month was based on the highest central pressure intensity of the high (intensity index) and its greatest spatial extent (spatial index) compared to the other six months. The axes of the OSHs extending toward Iran were classified into four categories: “continuous and reaching,” “continuous and non-reaching,” “discontinuous and reaching,” and “discontinuous and non-reaching.” The design of their synoptic patterns showed a clear decrease in the frequency of “continuous and reaching” OSHs. Continuity refers to the directness of the OSH, and a reaching OSH is one that extends to the borders of Iran or penetrates into the country. Using two criteria— “the integrated advance of cold and dry air from the high-pressure center toward Iran” and “verification of the OSH entering or reaching Iran’s borders”—it was found that cold and dry air travels from Central Asia toward Iran through three main pathways: 1. The pathway of cold and dry air transfer from the western slopes of the Altai Mountains, then across the Turan Plain, and finally into central Iran. 2. The pathway of air transfer from the Dzungarian Plain in western China, then along the Tian Shan Mountains, through Afghanistan, and finally into the north of Sistan-va-Baloochestan Province. 3. The pathway of air transfer from the Kazakh steppes, through the Caucasus corridor (west of the Caspian Sea), reaching Azerbaijan, and extending along the Zagros Mountains. The frequency of OSHs has indicated a decline in five separated decades along all three pathways during the past half century. This decrease is more evident in the third pathway, namely the Caucasus corridor, which already had a lower frequency from the beginning.

Daily maximum temperature data was extracted from ERA5 products in HDF5 file format and processed using the Python programming language. For data analysis, Principal Component Analysis (PCA) was used for dimensionality reduction, and Ward's clustering method was employed to determine homogeneous climatic regions based on the similarity of weather elements. The long-term mean maximum temperature for the country during this period was estimated at 24.2∘C, with a range of variation from −0.4∘C to 53.7∘C. The results from smoothing the data's time series showed a significant temperature jump around the year 1998, which led to an increase in the mean maximum temperature from 23∘C to 25∘C. In the spatial dimension, the maximum temperature was directly influenced by topography, altitude, and latitude. The southern and southeastern regions were identified as the warmest, while the high-altitude areas of the west, north, and northeast were the coolest. The results of the PCA showed that the first two components explained more than 78% of the spatial variance and 93% of the temporal variance, respectively. This indicates the existence of consistent and interpretable climatic patterns. Additionally, the Ward's clustering analysis, which divided the data into five distinct clusters, reflected the diversity of temporal behavior of the maximum temperature across the country.
 

The expansion of urbanization and the replacement of natural surfaces with artificial materials lead to temperature rise and the formation of the urban heat island (UHI) phenomenon, which results in consequences such as increased energy consumption, intensified air pollution, and threats to public health. This study aims to identify the factors influencing UHI and propose strategies to mitigate its impacts. The research was conducted using a systematic review and descriptive-analytical approach. To this end, relevant scientific articles and studies were examined, and the collected data were analyzed and categorized. The findings revealed that the key factors intensifying UHI include dense urban geometry, neglect of sustainable green facades and rooftops, improper and inefficient building mass design, use of materials with high thermal capacity and low albedo, reduced quality and efficiency of transportation infrastructure, loss of vegetation cover and surrounding natural ecosystems, shortage of water bodies, and ineffective natural ventilation in urban fabrics. The proposed strategies are divided into two scales. At the urban scale, optimizing urban design by regulating the height-to-width ratio of streets, creating wind corridors, and developing sustainable transportation infrastructure play a significant role in improving ventilation and reducing temperature. Expanding green and blue spaces through evapotranspiration processes and preserving natural ecosystems around cities help moderate environmental temperatures and improve air quality. At the building scale, the use of cool materials with high albedo, effective thermal insulation, green roofs and walls, and double-skin facades reduces heat transfer and enhances energy performance. Overall, the results indicate that integrating modern technologies, local strategies, and sustainable urban management can simultaneously reduce environmental temperatures, optimize energy consumption, and improve the quality of urban life.

Urban ecological resilience in the Tehran metropolis is one of the most important focuses of urban policy-making due to climatic and environmental challenges. The present research was conducted with the aim of analyzing Tehran's ecological resilience based on regulating ecosystem services and environmental and human variables. To this end, the Multiscale Geographically Weighted Regression (MGWR) model and the eleven-fold City Resilience Index (CLI) were employed.
The results showed that vegetation cover (NDVI), with a positive coefficient and small dispersion, has a uniform and determining effect on the CLI, confirming the importance of greenery in enhancing urban ecological resilience. The per capita green space showed a small positive coefficient, indicating a limited but significant impact on resilience, which suggests its unbalanced distribution across neighborhoods. Geomorphological variables, such as land slope and the rate of land subsidence, showed a consistently negative effect on the CLI. Transportation infrastructures, particularly the distance from the metro and BRT (Bus Rapid Transit), had a positive relationship with the CLI, although this relationship likely reflects population density and economic activities along high-traffic corridors.
In terms of air quality, showed a significant negative effect, while and had a slight positive effect on the CLI; showed no significant impact. Pearson's correlation results indicated no correlation higher than between the variables and the CLI, suggesting the complementary and multi-factorial role of environmental and physical indicators in shaping urban resilience.
In total, the findings suggest that enhancing Tehran’s urban ecological resilience requires a systemic and multi-dimensional approach. Policy-making in this area should focus on inclusive greenery development, redesigning compact urban fabrics, and developing green and sustainable transportation.

Glacial cirques are considered as an important indicator in tracing the paleoclimate. Accurate identification and morphometric and allometric analyzes of cirques will separate and clean them from other pseudo-cirque symptoms. The purpose of this research; Identification, classification and analysis of morphometric and allometric parameters of glacial cirques of Dana heights in Kohkiloye and Boyer Ahmad provinces. After identifying 27 glacial sub-basins, 77 glacial cirques were identified in the region and were drawn on the classified slope map in two formats, linear and polygonal. The operation of classifying circuses was carried out based on the methods of Wilburg and Rodberg, Evans and Cooks. For the morphometry of these cirques, parameters such as (L), (W), (H), (L/W), (L/H), (W/H) and the size of the cirque were used and its morphometric characteristics. has been checked. According to the research results, there are 37 N1 category circuses, 15 N2 category circuses, 20 N3 category circuses, and 5 N4 category circuses in these heights. The coefficient b on the longitudinal and transverse axes of N3, N2, and N1 categories is greater than one. As a result, allometric and isometric behavior in these altitudes is positive for circuses of this category. Also, the average coefficient b on the longitudinal axis of N4 category circuses and the average coefficient a on the transverse axis of circuses of this category is less than 1. As a result, in these irregularities, the coefficient is B>1 and A<1 for both. As a result, the allometric and isometric behavior in these altitudes is negative for N4 category cirques.
 

This study was conducted to examine the relationship between specific climatic parameters, namely ambient temperature and air pollution, and behavioral abnormalities—including aggression and impulsive behaviors—among children diagnosed with Autism Spectrum Disorder (ASD). The research was carried out in Khorasan Razavi Province, Iran, and the statistical population comprised children with ASD aged 4 to 13 years who attended daily educational–rehabilitation centers dedicated to individuals with ASD. From this population, a total of 186 children were selected through convenience sampling. Data on behavioral variables were collected using three standardized instruments: the Shaheem Children’s Aggression Questionnaire (2006) to assess levels and dimensions of aggressive behavior; the Hirschfield Impulsivity Scale (1965) to measure impulsivity traits; and the Gilliam Autism Rating Scale (1994) for confirming ASD diagnosis and severity. Simultaneously, climatic and air quality information—covering daily ambient temperature and concentrations of key air pollutants—was obtained from reliable local meteorological and environmental monitoring stations. The results demonstrated statistically significant relationships between both temperature and air pollution levels with the severity of aggression and impulsive behaviors in children with ASD. Higher temperatures and increased air pollutant concentrations were associated with elevated behavioral abnormalities. These findings underscore the importance of incorporating environmental and climatic considerations into the clinical management, educational planning, and rehabilitation program design for children with autism. Furthermore, they highlight the need for interdisciplinary collaboration  to develop strategies aimed at mitigating the adverse behavioral impacts of climatic and environmental stressors on vulnerable pediatric populations.

Teleconnection patterns play a crucial role in modulating large-scale atmospheric circulation and significantly influence regional climatic variables, including snow cover dynamics. This study aims to examine the impacts of 29 regional and extra-regional teleconnection indices on the spatial and temporal variability of snow cover in the Maroon River basin, a key water-supplying region in southwestern Iran that has experienced severe hydrological extremes in recent decades. Daily snow cover data derived from the MODIS sensor onboard the TERRA satellite for the period 2001–2022 were processed using the Google Earth Engine platform. Snow-covered areas were identified using the Normalized Difference Snow Index (NDSI) with a threshold of 0.4, and the data were aggregated at monthly and cold-season scales. Teleconnection indices—including ENSO-related indices, NAO, PDO, TSA, TNA, EPO, SCA, AAO, and SOLAR—were obtained from the NOAA database. The relationships between snow cover variability and teleconnection patterns were quantified using Pearson correlation analysis, considering both simultaneous and lagged effects.The results indicate that indices such as TSA, EPO, TNA, ESPI, PBO, and OSI exhibit strong negative correlations with snow cover, reflecting suppressed snow accumulation during their positive phases. In contrast, PDO, PNA, MEI.v2, and several Niño indices show significant positive correlations, particularly during the cold season, while the SCA pattern enhances snow cover during spring. Overall, snow cover variability in the Maroon Basin is governed by the combined influence of ocean–atmosphere oscillations and solar activity, with the strongest responses occurring in cold and transitional seasons.These findings highlight the value of integrating teleconnection-based climate signals into snowpack and hydrological forecasting, providing a practical framework for improving water resource management and climate risk assessment in mountainous regions.

“In recent years, the water crisis in Iran has gone beyond an environmental concern and has evolved into a multidimontion issue. Eastern Mazandaran, despite having relatively abundant surface water resources, faces local conflicts over access to and distribution of water between upstream and downstream villages. These conflicts, beyond the mere scarcity of resources, reflect perceived injustice, the breakdown of trust, and transformations in social bonds.This study aims to understand and interpret people’s lived experiences of social conflict over water in this region, using an interpretative phenomenological approach and seeks to analyze the effects of water conflict on perceptions of justice, security, and local identity. Data were collected through in-depth semi-structured interviews with 20 people (15 residents of the villages involved in the water dispute and five technical experts), and analyzed using a three-level thematic analysis. Thematic network analysis was employed, and through a six-step analytical process, a thematic network was constructed.Within this network, fifteen basic themes were condensed into three organizing themes-“Injustice in the flow of water and distrust in relationships,” “Environmental anxiety,” and “Social rupture and collapse of local solidarity”-and one overarching global theme, “Social conflict over water.”These themes indicate that conflict over water serves not only as a source of material disputes but also as a catalyst for profound transformations in the sense of belonging, coexistence ethics, and social trust. Accordingly, the findings highlight the necessity of rethinking water resource management policies, emphasizing perceived justice, inter-village dialogue, and the integration of Sociological and cultural dimensions in adaptation plans for water scarcity.
 

The ENSO phenomenon is considered one of the most important interannual oscillations in the Earth–atmosphere system and plays a significant role in precipitation variability across different regions of the world. In this study, to identify the multiscale relationship between different ENSO phases and monthly precipitation variability in Iraq, the monthly Niño3.4 index, the Maximum Overlap Discrete Wavelet Transform (MODWT), and the Continuous Morlet Wavelet Transform were employed. First, using multiresolution decomposition of the monthly precipitation signal from 16 stations across Iraq (1990-2020) into six (6) frequency levels (from monthly to multi-year scales), it was revealed that the precipitation signals at all stations follow a relatively similar pattern, although with different oscillation amplitudes. The amplitude of precipitation fluctuations at monthly and seasonal scales was found to be stronger at northern and foothill stations (Kirkuk, Mosul, and Khanaqin) compared to other regions of Iraq, indicating a shorter transition between wet and dry months in northern Iraq. Furthermore, the overall trend of the A6 component at all stations exhibited a decreasing pattern during 1995–2010, with this downward trend being more pronounced in the central and southern regions than in the north. The results of correlation analysis and multiscale wavelet coherence demonstrated a positive and multiscale relationship between ENSO and monthly precipitation in Iraq. Surrogate significance testing indicated that this relationship is not significant at wavelet levels 1 to 3 but becomes significant at 1.5–3-year and 2.5–5.5-year scales (wavelet levels 4 and 5). Overall, precipitation in Iraq tends to increase during El Niño (warm ENSO phase) events and decrease during La Niña (cold ENSO phase) events.

Space is socially produced, and the duality of urban space reflects the multidimensional duality of urban society, posing a major challenge to urban development and spatial justice in metropolitan areas. In Tehran, uneven growth and the concentration of development and urban amenities in specific areas have produced unequal quality of life and a socially stratified urban space. Accordingly, this study examines the spatial manifestations of urban duality in the Tehran metropolis and identifies spatial patterns of inequality across municipal districts. The study adopts a descriptive–analytical approach and covers the 22 municipal districts of Tehran. Data for 45 indicators were obtained from the 2016 National Population and Housing Census and the Statistical Yearbooks of Tehran Municipality (2019–2022). District-level development was evaluated using the CORASO multi-criteria decision-making method, while spatial relationships were analyzed through Moran’s I spatial autocorrelation index. The results reveal a pronounced north–south spatial divide in Tehran. Based on the CORASO scores, northern districts—particularly District 6 (0.25313), District 1 (0.17013), and District 3 (0.12703)—exhibit the highest levels of development, whereas southern districts, especially District 17 (−0.25313), District 10 (−0.23450), and District 18 (−0.22924), are among the least developed. Moran’s I value (0.433510) indicates significant spatial autocorrelation and a clustered spatial pattern, with developed districts forming clusters of prosperity and less developed districts forming clusters of deprivation in southern Tehran. This pattern reflects the historical concentration of resources, services, and investments in northern Tehran and the persistent relative deprivation of its southern districts.
 

This study investigates the impact of ideological cycles and changes in political discourses on the formation and spatial transformation of the Lalehzar–Ferdowsi neighborhood in Tehran during the pre-Constitutional and Constitutional periods. The main objective is to identify the contexts and processes through which traditional and modern discourses shaped the spatial and physical structure of this neighborhood. The research is qualitative and exploratory in nature and adopts a historical–analytical approach. Data were collected through documentary sources, including historical documents, maps, official reports, and written records, and were analyzed using a spatial discourse analysis framework. The findings suggest that the emergence and development of the Lalehzar–Ferdowsi neighborhood during the Qajar period were a result of the interaction between two dominant discourses: the traditional discourse of the pre-Constitutional era and the modern discourse of modernization during the Constitutional period. The spatial manifestations of these political discourses materialized through the establishment of various institutions and structures such as the Fārūs Printing House as a symbol of freedom of expression, the formation of the Nazmiyeh and the police as indicators of the rule of law, embassies and state institutions as expressions of state–nation relations, and facilities such as the telegraph office, bank, post, park, and modern streets as signs of modernization. Accordingly, the simultaneous and sometimes conflicting forces of tradition and modernity generated the initial physical form, functional structure, and modern urban identity of the Lalehzar–Ferdowsi neighborhood.