Showing 7 results for Solgi
A Solgi, R Nabizadeh, K Guodini,
Volume 2, Issue 2 (16 2009)
Abstract
Backgrounds and Objectives:Today the crisis rising from over consumption energy and materialand environmental pollution pose serious problems that challenges present resources of man.Sustainable development is probably an inevitable strategy for human being in such a way that theleast possible damage be inflicted to the environment.In this way, the role played by universities in reaching the objectives of sustainable development is crucial. In this paper, we examine the present state of consumption energy resources (Electricity and natural gas) in the central main campus of Tehran University and so we calculate the extent of environmental pollutants resulted of these energy consumptions.
Materials and Methods: For surveying of our objectives the first step is a survey of the current state of campus by way of reexamination of Gas and Electricity bills and distribution of a questionnaire. Second is an estimate of the entering pollutants to the environment with online software in site of http://www.abraxasenergy.com/emissions.
Results:annual consumption of 16.5 million KWHS of electricity along with 4312392 m3 of naturalgas leads to 0.0218 million tones Co2, 778 kg VOCS, 374.6 tones NOX, 2.41 tones CO, 65.341 tones So2, 93 kg Mercury compounds and 868 kg particles.
Conclusion: It is shown that there is no objective effort and green management in this part ofuniversity officials. This project suggests that the implementation of green management in the framework of programs such as green university can be crucial in reaching the objectives.
E Solgi, A Esmaili-Sari, A.r Riyahi Bakhtiari, M Hadipour,
Volume 8, Issue 1 (8-2015)
Abstract
Background and Objectives: Arsenic contamination is of great environmental concern due to its toxic effects as a carcinogen. In order to assess soil arsenic contamination and its distribution patterns, surface soil samples collected from the urban areas of Arak were analyzed. Materials and Methods: Totally, 62 surface soil samples were collected from depth of 0–20 cm of different locations including parks, green spaces, agricultural, roadsides, and squares of Arak City. The spatial distribution of arsenic in soil was mapped using GIS and kriging method. Results: The concentration of arsenic in the surface soil of Arak City was between 2.2- 10.8 mg/kg (average: 5.78 mg/kg). Spatial analysis showed that arsenic contamination enhances in the city center and there was an increasing trend from south to north. In addition, the mean arsenic concentration in the urban topsoil samples from Arak was lower compared with mean concentration for other cities around the world. Conclusion: It seems that arsenic in soil is controlled by natural and anthropogenic factors. The highest concentrations of arsenic in center and the north areas reflected arsenic loading is originated from anthropogenic sources such as vehicles and industrial processes.
E Solgi, S Mirmohammadvali, M Solgi,
Volume 11, Issue 1 (6-2018)
Abstract
Background and Objective: Measurment of metals concentrations in scalp hair is a well known method for monitoring exposure to heavy metals, assessment of heavy metal poisoning, evaluation of nutrient levels and diagnoses of diseases. The present research was conducted to evaluate the concentrations of heavy metals in the scalp hairs of the local fishermen from Shif Island (Bushehr) and assess the effect of various factors on heavy metals levels in hair.
Materials and Methods: Thirty hair sampls were collected from fishermen of Shif Island. After sample preparation and chemical digestion, the heavy metals were analyzed by Atomic Absorption Spectrometer. The information required to evaluate the exposure was obtained via a questionnaire that was distributed among the fishermen.
Results: The concentration of Fe, Zn, Cu, Mn, and Ni were 72.79, 148.11, 8.6, 4.72, and 19.71 mg/kg, respectively. There were significant correlations among Zn, Mn, and Ni. In addition, the results showed that use of hair colour increased the metal concentrations.
Conclusion: Our findings recommend that the population of Shif area and neighbouring county may be exposed to some of these heavy metals, particularly Ni that is an industrial and oil pollutant. The most likely exposure pathways seemed to be fish consumption; however, more detailed studies should be performed.
Ghr Siyahati Ardakani, M Mirsanjari, Hr Azimzadeh, E Solgi,
Volume 11, Issue 3 (12-2018)
Abstract
Background and Objective: The establishment of pelletizing and steel industries in Ardakan suburbs has increased the pollutants such as heavy metals into the environment. The purpose of this study was to investigate the contamination of the area soil by heavy elements around these industries using the pollution index (PI), comprehensive pollution index (NIPI), accumulation index (Igeo) and enrichment index (EF).
Materials and Methods: 57 soil samples were prepared by systematic-random sampling from 0 to 5 cm depth and levels of As, Cd, Cr, Mo, Ni, Pb, V and Zn were analyzed by ICP-OES.
Results: The highest and lowest mean of Igeo (0.49 and 0.36) and PI (2.16 and 1.17), were related to nickel, and the highest EF was calculated for Zn at about 25.1 and the lowest were detected for molybdenum approximately that was 17.1. The EF index of lead, vanadium and zinc, which was 15.8%, 5.3% and 1.8%, respectively, classified the study area in a medium enrichment class. Hot spots of lead, vanadium, nickel and zinc was at the nearest distance to these industries and downstream of wind direction.
Conclusion: Indicators of Igeo and EF showed a low level of soil pollution. The PI and NIPI indices in most stations were classified in medium pollution class, and the highest of these indicators was related to the surface soil of station 30, which was located near the steel industry. Therefore, it can be concluded that the activities of these industries had affected the soil contamination of the study area.
M Hatami-Manesh, S Mortazavi, E Solgi, A Mohtadi,
Volume 12, Issue 1 (5-2019)
Abstract
Background and Objective: Today, the presence and increase of particulate matter is one of the serious factors that threaten human health. In the meantime, trees can accumulate airborne particles by their foliage. In this study, the accumulating ability of various PM by the leaf of some tree and shrub species was evaluated in Isfahan.
Materials and Methods: 12 species of trees and shrubs were selected at 8 locations in Isfahan and the total PM, PM10, PM2.5 and PM0.2 were measured using water and chloroform washing methods by paper filters 91, 42 μm, and Polytetra Fluorethylene filters and digital balance.
Results: The results showed that the highest and lowest mean total accumulation of total particulate matter was related to Morus nigra and Salix alba, that were 190.23 ± 23.5 and 11.9 ± 4.42 μg/cm2. In addition, the trend of accumulation of total PM on the leaf surface from the highest to the lowest was: Morus nigra> Platanus orientalis> Ulmus umbraculifera> Morus alba> Acer negundo> Ailanthus altissima> Fraxinus excelsior > Nerium oleander >Robinia pseudoacacia> Cercis siliquastrum> Nerium oleander > Euonymus japonicas> Salix alba and in epicuticular Waxes, Morus nigra> Ulmus umbraculifera > Platanus orientalis > Morus alba> Ailanthus altissima> Acer negundo > Robinia pseudoacacia>Cercis siliquastrum> Fraxinus excelsior > Nerium oleander > Euonymus japonicas> Salix alba.
Conclusion: The results indicated that the ability of different tree species to absorb PM depended on the morphological, physiological and ecological characteristics of the leaf. Finally, among the different species the Morus nigra had the highest ability to capture various PM.
Hanieh Mirbolooki, Shahriar Mahdavi, Eisa Solgi, Babak Razdar, Mahboubeh Zarabi, Davoud Akhzari,
Volume 17, Issue 4 (3-2025)
Abstract
Background and Objective: Dyes are among the most widespread pollutants found in industrial wastewater. The aim of this study is to investigate the potential of vineyard wood waste as a green adsorbent for the removal of polyazo solophenyl dye from aquatic environments.
Materials and Methods: In this laboratory research, two forms of adsorbents modified with H₂SO₄ and NaOH were used. Data obtained from dye adsorption in synthetic solutions were fitted to isotherm, kinetic, and thermodynamic models, with all calculations performed using Excel software. Zeta potential analysis, along with FTIR, BET, and FESEM-EDS instrumental analyses, was conducted to determine the properties of the adsorbent. Additionally, the desorption rates of the adsorbents were analyzed.
Results: The results showed that the highest color removal efficiency for the adsorbent modified with H2SO4 was achieved at a contact time of 180 minutes and a reaction temperature of 50 °C, while for the adsorbent modified with NaOH, the highest efficiency was observed at a contact time of 105 minutes and a reaction temperature of 25 °C. For both adsorbents, the optimal pH was 4, and the optimal adsorbent dosage was 1 g. The adsorption data for both modified adsorbents followed the pseudo-second-order kinetic model, while the equilibrium data aligned with the Freundlich and Temkin isotherm models. The adsorption capacities were found to be 22.27 mg/g and 9.87 mg/g for the adsorbents modified with acid and base, respectively, under optimal conditions.
Conclusion: This study introduces a novel, low-cost adsorbent derived from natural waste for water pollution removal, transforming the current approach into a cost-effective and eco-friendly solution.
Mohamad Parsi Mehr, Eisa Solgi,
Volume 17, Issue 4 (3-2025)
Abstract
Background and Objective: The Qazvin Plain, one of the key agricultural regions in Iran, faces significant challenges affecting the quality of its water resources. These challenges include changes in land use (LU) and the expansion of activities such as agriculture and industry. Assessing, modeling, and predicting total dissolved solids (TDS) and the sodium absorption ratio (SAR) in groundwater—two critical parameters influencing water resource usability—can play a pivotal role in managing water quality in the region.
Materials and Methods: This study aimed to investigate and model the relationship between LU and water quality parameters. TDS and SAR values were first mapped using the inverse distance weighting (IDW) interpolation method. Land use in the Qazvin Plain was then classified using Landsat 8 satellite imagery and the supervised maximum likelihood classification method. Finally, geographic weighted regression (GWR) was employed to model and examine the spatial relationship between the LU distribution patterns in the Qazvin Plain and the groundwater quality parameters.
Results: The coefficient of determination (R²) for the relationship between SAR and LU was 0.74, while for TDS and LU, it was 0.81. These findings highlight a significant influence of LU changes on groundwater quality parameters in the study area.
Conclusion: The results demonstrate a strong correlation between LU and groundwater quality parameters. Moreover, the application of GWR proved effective in capturing spatial variations and providing accurate tools for analyzing these relationships. This approach can be instrumental in the sustainable management of water resources in the Qazvin Plain.
