Showing 13 results for Tehran
S. Yarahmadi, S.r. Mirai Ashtiani, R. Ebadi, G.h. Tahmasebi,
Volume 5, Issue 2 (7-2001)
Abstract
In this study 130 honeybee colonies in 4 locations (Damavand, Tehran, Qum and Karaj-Savojbolagh) were sampled to determine the phenotypic correlations among 9 morphological and 3 production traits. The morphological traits were length (FL) and width (FB) of fore wing, cubital index (CI), length of hind leg (HL), length of probosics (LP), slender index (SI), length (WL) and width (WT) of wax mirror, distance between wax mirror (WD), index of wax mirror (IW) and corbicular area (CA). The production traits were honey yield (WH), pollen gathering (WP) and wax: production (WW). Data were subjected to analysis of variance, phenotypic correlations, stepwise regression and path coefficient analysis. Results of phenotypic correlations demonstrated that correlations between FL with FB (0.65), WL (0.361), WT (0.261), HL (0.555) and LP (0.257), WH with WP (0.300), WW with WH (0.560) and CA with WH (0.234) were significant (P≤0.01). FB with WH (r=0.204) was also significant but there was no significant correlation between CA and WP. Results of stepwise regression and path coefficient analysis showed that whereas morphological traits were settled as independent variables, much of the corresponding changes in production traits remain uninterpreted. In spite of the significant correlations among several morphological and production traits, body measurements alone are not suitable criteria to select colonies for high productions of honey, pollen and wax.
R. Omidbaigi,
Volume 6, Issue 2 (7-2002)
Abstract
Purple coneflower (Echinaceae purpurea (L.) Mnch) is one of the most important medicinal plants used by pharmaceutical industries in industrialized countries. The active substances of this plant are antiviral and are used as human immunostimulant. The plant of purple coneflower is not included in the Iranian flora. Therefore, the main aim of this study was to evaluate the adaptability of the plant to the conditions in the north of Tehran (Zardband region). The results from this research should contribute to large-scale production as a raw material for Iranian pharmaceutical industries. Comparison of means of the different characteristics was carried out using t-test at 5% level. Results showed that purple coneflower is adaptable to the climatic conditions in the north of Tehran and can be produced on a large scale. The suitable time for transplanting the seedling in the field was from 5 August to 5 September. Maintaining the purple coneflower until its fourth vegetative period is economical. Transplanting after this date produces woody stems and reduces both the herb yield and the quality of its active substances.
A. Reyhani Tabar, N. Karimian, M. Muazardalan, G. R. Savaghebi, M. R. Ghannadha,
Volume 10, Issue 3 (10-2006)
Abstract
Information about forms of zinc (Zn) is important for the evaluation of its status in soil and also understanding of the soil fertility and chemistry. To obtain such information, amounts and distribution of Zn in different fractions of 20 soil samples of Tehran province, Iran were determined by sequential extraction method and their relationships with each other and with soil characteristics were investigated. Total Zn of soils ranged from 70 to 169.9 mg/kg-1. The amount of different Zn forms relative to the sum of forms was determined to be as follows: organic less than 0.1, soluble+exchangeable 0.1, manganese-oxide-associated 0.9, carbonate 1.6, crystalline iron-oxide-associated 3.8, amorphous iron-oxide-associated 4.2, and residual form 89.3%. Simple correlation coefficients showed that pH had a negative significant correlation with all forms of Zn except organic. Silt and clay contents had significant positive correlations with total, residual, and crystalline iron-oxide-asociated Zn but CEC had significant correlation only with total Zn. Calcium carbonate equivalent showed a significant correlation with soluble+exchangeable, manganese-oxide-associated and amorphous iron-oxide-associated Zn. DTPA-extractable Zn was significantly correlated with soluble+exchangeable, carbonate, and amorphous iron-oxide-associated Zn. A significant correlation was also observed between the Zn forms themselves, which is presumably a reflection of the existence of a dynamic relation between the chemical forms of an element in soil.
S. Morid, S.h. Paymozd,
Volume 11, Issue 42 (1-2008)
Abstract
Application of meteorological indicators has extensive use in drought monitoring. However, hydrological indicators can also play an effective role in this task. In this research, one of the rare approaches in drought monitoring with hydrological indicators namely Chang method has been applied and assessed for the Tehran basin using daily time step. The results have been compared with the unique meteorological drought index, EDI (effective drought index) and show the capabilities of the hydrological method and its more sensivity to water resources deficit. For instance, application of these procedures for the 1998 to 2000 drought spell in Tehran province revealed that Change method declares 31.1 % of times in very severe drought whereas it is 3.7 in EDI. Because of applying different indicators (e.g. reservoir and ground storage), a combination of both procedures is an ideal approach for drought monitoring in which the water inputs to the system as well as storage and consumptions are considered. The applied methodology makes it Possible to distinguish droughts due to rainfall deficit from the ones, which are resulted from water resources miss management.
A Rahimi Khob, M Behbahani, M Jamshidi,
Volume 13, Issue 50 (1-2010)
Abstract
Daily solar radiation intercepted at the earth’s surface is an input required for water resources, environmental and agricultural studies. However, the measurement of this parameter can only be done in a few places. This has led researchers to develop a number of methods for estimating solar radiation based on frequently available meteorological records such as hours of sunshine or air temperature. In this study two empirical Angestrom and Hargreaves- Samani models, which are respectively based on air temperature and sunshine duration were calibrated and evaluated for estimating solar radiation in southeast of Tehran, Iran. Also, two neural networks models were presented using similar inputs and above-mentioned empirical models. The results showed that the both empirical and neural network models provided closer agreement with the measured values, but the models based on sunshine hours gave better estimates than the models based on air temperature. The neural network model based on sunshine hours with a R2 of 0.97 and a RMSE of 1.34 MJ m-2 d-1 provided the best results
A. Rahimikhoob, P. Saberi, S. M. Behbahani, M. H. Nazarifar,
Volume 15, Issue 56 (7-2011)
Abstract
In this study, the remote sensing statistical approach was used to determine the global solar radiation from NOAA-AVHRR satellite data in southeast of Tehran. This approach is based on the linear correlation between a satellite derived cloud index and the atmospheric transmission measured by the clearness index on the ground. A multiple linear regression model was also used to convert the five AVHRR data channels and extraterrestrial radiation to global solar radiation. The results of this study showed that multiple linear regression model estimated the solar radiation with an R2 of 0.93 and a root mean square error (RMSE) of 5.8 percent, which was better than the statistical approach.
H.r. Pourghasemi, H.r. Moradi, S.m. Fatemi Aghda,
Volume 18, Issue 70 (3-2015)
Abstract
The objective of the current research was to prioritize effective factors in landslide occurrence and its susceptibility zonation using Shannon’s entropy index in North of Tehran metropolitan. To this end, 528 landslide locations were identified using satellite images such as Geoeye (2011-2012), SPOT-5 (2010), and field surveys, and then landslide inventory map was created for the study area in ArcGIS environment. Data layers such as slope degree, slope aspect, plan curvature, altitude, lithology, land use, distance of road, distance of fault, distance of drainage, drainage density, road density, sediment transport index (STI), stream power index (SPI), topographic wetness index (TWI), normalized difference vegetation index (NDVI), surface area ratio (SAR) and topographic position index (TPI) were created and the mentioned maps were digitized in GIS environment. Prioritization of effective factors by Shannon’s entropy index showed that the layers such as land use, lithology, slope degree, stream power index, and NDVI had the most effect on landslide occurrence. However, factors of topographic position index and plan curvature had the least effect. Also, landslide susceptibility zoning by the mentioned model and its accuracy assessment using relative operating characteristics (ROC) curve and 30 percent of landslide locations showed an accuracy of 82.83% with a standard error of 0.0233 in the study area.
P. Asadi Alasvand, A. Heidari,
Volume 19, Issue 74 (1-2016)
Abstract
Technosols are modified soils affected by human activities. This study investigated genesis, classification and physicochemical properties of four pedons of Technosols developed on refused oil refinery materials and compared them with two unpolluted pedons. Mineralogical studies showed smectite as a dominant clay mineral with other clay minerals. These clay minerals adsorb oil compounds in their interlayer spaces and reduce their mobility and decomposition. Different micromorphological features resulting from oil compounds in soils, including depletion zones, types of coatings (quasi and hypocoating) and features due to horizontal and vertical movement of oil compound in soil showed dynamics of oil compounds and their effects on soil forming process. The refused petroleum compounds decrease pH and increase organic carbon, amorphous form of Iron in soils. Taking into account the presence of high amounts of gypsum and carbonate in polluted soil, the studied soils were classified as Typic Calcigypsids in Soil Taxonomy but in WRB system, due to the presence of impermeable geomembrane within 100 cm of soil surface, they were classified as Linic Technosols, showing the more precision of WRB system in their classification.
K. Nosrati, M. Majdi,
Volume 21, Issue 4 (2-2018)
Abstract
The soil pollution especially in urban soils is projected to increase drastically and its effects on chemical cycles are yet to be known. Approaches to measure air and water quality are well established, but urban soil quality assessment has received little attention. Soil quality assessment can help as a way to better understand the pollution increase outcomes in urban environments and to establish approaches and integrated soil quality assessment protocols in urban planning and landscape management. Considering lack of information in urban soil quality of Iran, the objective of this study was to assess soil quality under urban land use effect using minimum data set in western part of Tehran. In view of this, 56 soil samples were collected in three land use types of agricultural, parks and urban landscapes, and vacant urban lots and 12 physicochemical properties were measured. The results of analysis of variance (one-way ANOVA) showed that under influence of the land use types, organic carbon, total nitrogen, lime, bulk density and sodium have significant differences. The factor analysis was used to select minimum data set and the results showed that two factors with eigenvalues more than one, explaining more than 68% of total variance, have the most loading factors on organic carbon and sodium. Finally, soil quality indicator (SQI) was determined and compared in different land use types. The results showed that SQI has significant difference in urban land use types and the least soil quality is related to vacant urban lots.
H. Sarmadi, E. Salehi, L. Zebardast, M. Aghababaei,
Volume 22, Issue 2 (9-2018)
Abstract
Since the introduction of cities and urbanization, healthy water supplement and urban wastewater treatment have been considered as an important factor to evaluate progress in the urban areas. Tehran as a megacity is facing the lack of water. Tehran water supplement is far from its area; therefore, Tehran-Karaj plain has been considered in this study. So, Tehran water quantity index using the DPSIR model (Driving force, Pressure, Status, Impact and Response) in a period of 3 years (2008-2010) was considered in this paper. Driving forces included population, urbanization, green spaces, and industries. Pressures on urban water included water consumption, water losses, rainfall and evaporation. Then, Tehran water quantity status was investigated based on the existing water in dam reservoirs and groundwater resources. Their impacts on urban area were evaluated and finally, appropriate responses were presented. Some of the presented approaches included industries transmission, improvement of water consumption pattern, improvement of the water treatment plants status and unconventional water resources reuse, identification and rearrangement of subterranean, improvement of irrigation systems operation, and reduction of Tehran urban population.
Z. Ghorbanpour, O. Abessi, F. Kardel,
Volume 24, Issue 4 (2-2021)
Abstract
Drilling material from the tunnel of the Tehran-Shomal highway was estimated to be about 2.5 Million Cubic Meters by the project authorities. Sadly, from the beginning, the drilling materials had been deposited on the open space in the floodplain of the Chaloos river with slightest environmental considerations. During the previous years, weathering and leaching from the drilled materials besides the discharge of drain water from the tunnel had led to seriouse contaminations and the deterioration of the water quality of the Chaloos river. In this paper, the ecological risk of nonorganic pollutants due to drilled materials was investigated. The sampling was done from the excavated materials and river sediment in five different locations throughout a complete year. From the many pollutants, Nickel, Cadmium and Copper were chosen to be investigated. The results showed that almost 15 percent of the samples had a high degree of pollution, while 60 percent of them were clean and the other 25 percent included the highly contaminated ones. All samples were also estimated to have a low to high ecological risk.
S. S. Ariapak, A. Jalalian, N. Honarjoo,
Volume 25, Issue 2 (9-2021)
Abstract
In this study, spatial-temporal variation of dust deposition rate in the western and eastern half of Tehran and its climatic parameters affecting were studied. At 34 points in the city, dust samples were collected by glass traps from the roof, for twelve months, and the climatic data were obtained and analyzed from relevant organizations. The highest deposition rate is in the western half of the city and its total amount has varied from 54.52 to 121.21 g/m2/y. In both halves of the city, summer has the highest dust deposition rate and its central areas have the highest amount. There were significant positive correlations between dust deposition rate with temperature and medium wind speed, and there were significant negative correlations between dust deposition rate with rainfall and relative humidity in all months, which justifies the high dust deposition rate in the dry seasons of the year. The results of stepwise regression showed that rainfall was the most important factor affecting the dust deposition rate in both halves of the city. The city of Tehran has a special geographical location the presence of mountains like a barrier has prevented dust from leaving the city and the air inlet corridor of Tehran has faced problems due to the expansion of building construction and high-rise building. Other factors affecting the rate of dust deposition in this city, in addition to the distance from the main source of dust production, atmospheric parameters can be mentioned the existence of barren lands around the city, vegetation cover, construction operations, and traffic.
M. Mohammadi, B. Lorestani, Soheil Sobhan Ardakani, M. Cheraghi, M. Kiani Sadr,
Volume 25, Issue 4 (3-2022)
Abstract
Polychlorinated biphenyls (PCBs) can adversely affect human and environmental health according to long-term half-life and persistence in the environment. Therefore, this study was conducted to detect, identify, and health risk assessment of PCBs in surface soils collected from the vicinity of Arad-Kouh processing and disposal complex, Tehran, in 2020. A total of 30 surface soil samples was collected from 10 sampling sites near the Arad-kouh complex. After extraction of analytes, the gas chromatography/mass spectrometry (GC–MS) method was used to determine PCBs in soil samples. Based on the results, 15 congeners of PCBs were detected in the analyzed soil samples. Also, the minimum, maximum, and mean concentrations of total PCBs (µg/kg) were 269, 434, and 359, respectively. Moreover, the results of PCA and significant contribution values of low molecular weight homologs indicated that the presence of PCB compounds in the soil samples was connected with combustion processes in the soil. Besides, as among the detected PCBs, the TEF values only established for PCB105 showed that exposure to contaminated soil could be lead to a moderate level of carcinogenic risk through PCB105. Given that PCBs have adverse effects on the environment and human health, detecting, determining the concentration, source identification, and periodical monitoring of these compounds in different mediums to human health maintenance is strongly recommended.
