Showing 141 results for Agh
Mehrab Aghazadeh, Amirhesam Hasani, Mehdi Borghei,
Volume 15, Issue 3 (12-2022)
Abstract
Background and Objective: Based on its unique characteristics, oil industry wastewater must be treated before discharging into the environment. The study aimed to optimize the catalytic sonopraxone process in the treatment of petroleum wastewater using a statistical method.
Materials and Methods: The synthesis of Iron Oxide-Zinc Oxide was carried out by air oxidation and layer-by-layer self-assembly method. XRD, SEM, EDAX, FT-IR, BET, DRS, VSM and TGA techniques were used to investigate the structure. In this study, applied CCD method optimization of pH parameters, reaction time, ozone gas concentration, hydrogen peroxide concentration and catalyst amount in the process. In optimal conditions, BOD5 and TPH removal values, reaction kinetics and synergistic effect of mechanisms were studied. COD, TPH and BOD5 were measured by spectrophotometer (DR6000), GC-FID and incubator, respectively.
Results: The results indicated that the Fe3O4@ZnO structure is well formed. A quadratic model was proposed to model the process based on the correlation coefficient. Based on ANOVA analysis and p and f indices, the proposed model was reported to be significant. Optimum conditions include pH 6.4, ozone concentration 1.3 mg/L.min, hydrogen peroxide concentration 2.5 mL/L, reaction time 51 min and catalyst amount equal to 0.64 g/L. In these conditions, the amount of COD reduction was 82.3 and 70% theoretically and experimentally, respectively. Also, in optimal conditions, BOD5 and TPH removal rates were 90.5% and 85.8%, respectively. The kinetics of the process follows the kinetics of the first order (R2=0.98) and the presence of different mechanisms together causes a synergistic effect and increases the efficiency of the process.
Conclusion: This process can improve the quality of oil effluent based on COD, BOD5, and TPH removal.
Samira Bagheri, Farhad Nejadkoorki, Seyed Alireza Afshani, Vahid Mousavi,
Volume 15, Issue 4 (3-2023)
Abstract
Background and Objective: One of the important environmental problems is the mass production of urban waste, which has increased per capita household waste production with the ever-increasing population growth; Therefore, nowadays, the use of intelligent systems has been expanded as a new solution in the analysis of environmental issues. Estimation of household waste through modeling, including the use of the fuzzy-neural network, leads to its better management. Therefore, the current research was conducted to investigate the socioeconomic factors on household waste production using the Adaptive Neural Fuzzy Inference System (ANFIS) in Tabriz city.
Materials and Method: In this research, by using the adaptive neuro-fuzzy inference system (AFNIS) with the Fuzzy C-Means (FCM) method, domestic waste generation in Tabriz city has been predicted. According to the nature of the subject and the investigated indicators, the information collected in descriptive research was collected from the students of schools in Tabriz using a questionnaire. Also, socio-economic factors were statistically analyzed using SPSS version 26 software, and parameters affecting domestic waste production in Tabriz city were used for modeling in MATLAB software.
Results: The results of the study showed that the adaptive neuro-fuzzy inference system with the Fuzzy C-Means method has acceptable performance for domestic waste production in Tabriz city.
Conclusion: According to the results obtained based on the statistical index, the forecasted model in domestic waste production in the Fuzzy C-Means method with the highest R (0.75) and the lowest error has an acceptable performance model in predicting the production of dry domestic waste in the studied area.
Masoumeh Selahvarzi, Soheil Sobhanardakani, Amir Hooman Hemmasi, Lobat Taghavi, Jamal Ghoddousi,
Volume 15, Issue 4 (3-2023)
Abstract
Background and Objective: Soil contamination with heavy metals is the most important challenge and common environmental, economic, and public health issue in the world. Therefore, this research was conducted to evaluate the contamination and source identification of Fe, Zn, Cd, and Cr in the surface soils of Khorramabad county, west of Iran in 2020.
Materials and Methods: In this descriptive study, after dividing the study area into 11 homogeneous units, a total of 65 surface soil samples were collected. After preparing the samples, the content of the elements was determined using inductively coupled plasma-optical emission spectroscopy (ICP-OES). Also, enrichment factor (EF), pollution factor (CF), and Nemrow integrated pollution index (NIPI) were calculated. Statistical analyses of the data were performed using SPSS statistical software.
Results: The results showed that the average content of Fe, Zn, Cd, and Cr (mg/kg) in soil samples were 3.14, 1.13, 0.021, and 0.529, respectively. The EF values showed that the enrichment of Zn, Cd, and Cr was "extremely severe" and the average values of EF for the elements followed the descending order of Cd > Cr > Zn. The average values of CF and NIPI varied from 3.30×10-5 to 0.182 and 0.043-0.136, respectively, indicating the level of "low pollution" and quality conditions of "no pollution" in all the studied stations. Based on the results of multivariate statistical analysis (PCC, PCA and HCA), Fe has a geological origin; while, Zn, Cd, and Cr mainly originated from a combination of geological processes and anthropogenic activities.
Conclusion: Although the average values of CF and NIPI showed that the study area has an acceptable soil quality, the values of EF indicated the impact of anthropogenic activities on soil contamination. Therefore, regular and periodic monitoring of soil samples as well as management and control of pollutant emission sources is recommended for maintaining environmental and human health.
Mohadeseh Bodaghi, Tayebeh Rasolevandi, Amir Hossein Mahvi, Hossein Azarpira,
Volume 15, Issue 4 (3-2023)
Abstract
Background and Objective: Due to the presence of infectious diseases and parasitic contamination in kindergartens, it is very important to observe the health points in these centers. This cross-sectional analytical study was conducted to investigate the environmental health status of Saveh kindergartens in 2020.
Materials and Methods: A checklist with 133 questions was designed, including 57 questions specific to the conditions of the coronavirus, taken from the instructions for the second step of the fight against the coronavirus and 76 questions from regulation 150/920318. All active kindergartens (9 cases) in the study were included, and the answers to the questions as yes, no, and not applicable were recorded and using SPSS software, independent T, chi-square, and one-way ANOVA was analyzed.
Results: The results obtained from the analysis of the checklist showed that the compliance of the health status of all kinds of kindergartens with the regulations of 150/920318 has a percentage of total desirability that includes personal hygiene (81/4%), food hygiene (63%), tools and equipment hygiene (66/5%), building hygiene (78%), health education (90%), considerations regarding disinfectants and disinfectants based on alcohol (92%) and considerations regarding bleaches (94%). There was no significant relationship between the per capita of each child and the different items on the checklist (p>0/05).
Conclusion: This study showed that the general environmental health status of kindergartens in Saveh was favorable and only two variables of hygiene of tools and equipment (66/5%) and food hygiene (63%) were the least desirable among the studied factors that should be considered.
Ehsan Aghayani, Sakine Shekoohiyan, Ali Behnami, Ali Abdolahnejad, Mojtaba Pourakbar, Hamed Haghnazar, Vahideh Mahdavi, Amir Mohammadi,
Volume 16, Issue 1 (6-2023)
Abstract
Background and Objective: Heavy metals in water can pose risks to human health. Therefore, it is necessary to monitor and measure metals to ensure the health of consumers.
Materials and Methods: This study aimed to measure heavy metals such as arsenic, lead, cadmium, chromium, zinc, and mercury in water resources and urban water distribution networks in spring and summer of 2021 in Maragheh city. Accordingly, 25 samples were taken to investigate the presence of heavy metals. The presence of these metals in water sources was investigated using qualitative maps and finally, by evaluating the health risk caused by the presence of these metals, their effect on the health of consumers has been studied.
Results: Examining the concentration of metals in water resources upstream of the dam shows a relatively high concentration of metals, especially arsenic (13.2 µg/L). Despite this, the amount of arsenic after the water treatment plant and in the distribution network is reduced to an insignificant level. On the other hand, the results show that the amount of zinc metal in the network is higher than in the reservoir of the dam, and its concentration in the dam is equal to zero and in the network, it reaches the highest value of 578 µg/L. Finally, the health risk assessment shows that the calculated THI values for all samples vary between 0.01 and 0.99.
Conclusion: Based on the calculated health risk, there is no threat to the health of consumers regarding heavy metals in Maragheh drinking water. Also, these results double the necessity of additional studies regarding the leakage of zinc metal from the pipes and accessories of the city's drinking water distribution network in the future.
Mohammad Ghafoori, Mehrdad Cheraghi, Maryam Kiani Sadr, Bahareh Lorestani, Soheil Sobhanardakani,
Volume 16, Issue 2 (9-2023)
Abstract
Background and Objective: Antibiotics are emerging pollutants that enter the human environment through pharmaceutical, hospital, and urban wastewater. Therefore, this study was conducted to investigate of removal efficacy of tetracycline (TC) from aqueous solutions using GO@Fe3O4@β-CD.
Materials and Methods: In this descriptive study, GO@Fe3O4@β-CD was synthesized and then used as an adsorbent for the removal of TC from aqueous solution. GO@Fe3O4@β-CD was characterized using X-ray diffraction (XRD), Scanning electronic microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and vibrating sample magnetometry (VSM) methods. Also, the influence of variables including pH (3-9), amount of adsorbent (0.003-0.050 g), contact time (0-100 min), and temperature (25-55 °C) so assessed on the efficacy of TC removal.
Results: The results of TGA analysis showed that GO@Fe3O4@β-CD nanoparticles were resistant to temperatures up to 400 °C. Also, the results indicated that β-cyclodextrin was uniformly dispersed on the surface of GO@Fe3O4.
The results indicated that removal efficiency increased up to 60 min contact time, 0.01 g of adsorbent, and decrease temperature to 25 °C. The optimum pH for TC removal was 7.0. Also, under these conditions, the adsorption process followed the Langmuir adsorption isotherm with a correlation coefficient of 0.992 and the pseudo-second-order kinetic model with a correlation coefficient of 0.997, 0.999, and 0.998. The maximum adsorption capacity of the prepared adsorbent was 357 mg/g.
Conclusion: The GO@Fe3O4@β-CD could be an effective and efficient adsorbent for the removal of TC from industrial wastewater.
Fatemeh Kakouei Dinaki, Mehrdad Cheraghi, Bahareh Lorestani, Soheil Sobhanardakani, Atefeh Chamani,
Volume 16, Issue 3 (12-2023)
Abstract
Background and Objective: Monitoring and remediation of metal contaminants in aquatic ecosystems is of particular importance to estimate, control, and reduce the level of threats to alive creatures and humans. Therefore, this study was conducted to evaluate metal contamination of surface sediments and the ability to monitor and bioremediation of iron, lead, and copper by aerial and underground tissues of Typha Latifolia and Nasturtium microphyllum located along the aquatic ecosystem of the Lar River, Tehran, Iran in 2021.
Materials and Methods: In this descriptive study, after selecting four sampling sites, 48 plant samples and 12 sediment samples were collected. After preparation and acid digestion of the samples in the laboratory, the contents of the elements were determined using inductively coupled plasma-optical emission spectroscopy (ICP-OES). Also, pollution index (PI), pollution load index (PLI), bioconcentration coefficient (BCF), bioaccumulation (BAF), and translocation factor (TF) were calculated. Statistical analyses of the results were performed using SPSS statistical software.
Results: The highest values of Fe, Pb, and Cu (mg/kg) in sediment samples were 11.8 ± 0.665, 0.915 ± 0.030, and 0.710 ± 0.026, respectively, and belonged to station 4; and in plant tissues 11.4 ± 1.25, 0.578 ± 0.180, and 0.298 ± 0.095, respectively, and were belonged to the roots of T. Latifolia. The PI values showed that the pollution of Fe, Pb, and Cu was "low" and the average PI values for the elements followed the descending order of Pb > Cu > Fe. The average values of PLI also vary from 0.003 to 0.006, indicating the quality conditions of "no pollution" in all the studied stations. On the other hand, T. Latifolia had a BCF > 1 and TF < 1 for Fe.
Conclusion: Based on the results obtained, it can be concluded that T. Latifolia is a suitable species for stabilizing Fe in sediments and could be used to monitor and remediate potentially toxic elements from polluted aquatic ecosystems.
Seyyed Shahram Naghibzadeh, Mazaher Moeinaddini, Mehdi Zafaranieh,
Volume 16, Issue 3 (12-2023)
Abstract
Background and Objective: The economic evaluation is a tool for decision-making based on data that helps to select and prioritize waste management components and their implementation based on economic criteria. The purpose of this study was a comprehensive economic evaluation of the waste management components by life cycle costing assessment (LCC) , Net Present Value index (NPV), and Internal Rate of Return (IRR).
Materials and Methods: The cost of each waste management component, was calculated by LCC for one tonne of waste in. The efficiency of each waste management component was obtained using the NPV and IRR indicators.
Results: The results showed that recycling with 260%, and then composting with 40%, have the highest economic returns and the ability to return capital. The sensitivity analysis showed the profitability of these two processes despite the changes of ±30% in the influential calculation parameters.
Conclusion: In this study, comprehensive economic evaluation showed that using LCC, NPV, and IRR with their sensitivity analysis, simultaneity can have an important role in waste management decision-making.
Ahmad Jonidi Jafari, Davarkhah Rabbani, Samaneh Bagheri Arani, Ehsan Zarei, Mohsen Hosami Arani,
Volume 16, Issue 4 (3-2024)
Abstract
Background and Objective: Compliance with the principles of environmental health is of particular importance in any gathering ceremony. This issue needs more attention in the Muharram and Safar mourning ceremonies due to the position of health in Islam and the presence of different populations in this ceremony. Based on this, the present study was conducted with the aim of environmental health management during Muharram and Safar days using the Analytic Hierarchy Process.
Materials and Methods: According to the main purpose of the study, a literature review was done. Then, a team of experts was formed and criteria, sub-criteria and programs related to the purpose of the study were determined by brainstorming, and the relevant questionnaire was prepared and after completion by 25 experts, the relevant criteria were prioritized using the Analytic Hierarchy Process.
Results: Based on the weighting with the Analytic Hierarchy Process method, the highest score (0.441) was awarded to the health inspection criteria, and then the administrative coordination criteria(0.186), education (0.182), reporting (0.169) and finally the support and services criterion (0.022) were prioritized.
Conclusion: The results of the study indicate the emphasis on environmental health management during the Muharram and Safar mourning ceremonies from the point of view of experts, that compliance with the three principles of health inspection, administrative coordination and continuous training has the particular importance.
Arezoo Yari, Ali Ardalan, Abbas Ostadtaghizadeh,
Volume 16, Issue 4 (3-2024)
Abstract
Background and Objective: Demographic characteristics are among the factors that can contribute to flood-related deaths. Investigating the relationship between these factors and flood-related deaths, as well as measuring their impact on the prevention, reduction, and elimination of such deaths, is essential.
Materials and Methods: This study was conducted as a case-control study in all flood-affected areas of Iran that experienced flood-related deaths from 2002-2018. The sample size of the study was 369 (123 cases and 246 controls) from 12 provinces and 30 counties. The study measured the impact of demographic characteristics on flood-related deaths using a valid and reliable tool.
Results: The findings of this study revealed that individuals under the age of 15 face a 31.974 times higher risk of flood-related death compared to individuals over 65. The young population, specifically those aged 15 to 29 in Iran, have a 1.475 times higher risk. Drivers face a 13.874 times higher risk, while individuals involved in agriculture, shepherding, and livestock farming have a 0.947 times higher risk compared to homeowners.
Conclusion: Among the demographic characteristics, children, young adults, and engaging in certain high-risk occupations such as driving or agriculture increase the risk of flood-related deaths. Therefore, it is recommended to prioritize protection, education, and vulnerability reduction measures for these individuals, especially in flood-prone areas.
Sakine Shekoohiyan, Mojtaba Pourakbar, Asghar Zohdi Shiran, Farshid Ghanbari, Mostafa Mahdavianpour, Ehsan Aghayani,
Volume 16, Issue 4 (3-2024)
Abstract
Background and Objective: The development of the automobile industry has caused various pollutants to enter the environment, one of which is fluoride. Therefore, this study aims to improve the fluoride removal from wastewater pre-paint units of the automotive industry to achieve discharge standards to surface waters.
Materials and Methods: The study is descriptive and on an applied scale, which has been carried out to compare the efficiency of the chemical coagulation process using lime and alum, as well as the electrocoagulation process using aluminum anodes in the presence of lime to remove fluoride.
Results: The results of real wastewater characteristics showed that the pH of wastewater is in the range of 6.1 to 6.3, and its fluoride concentration is in the range of 45 to 55 mg/L. The results of the experiments show that in the most optimal possible state in the chemical coagulation process, it is possible to achieve fluoride removal efficiency in the range of 76 to 81 percent. However, the removal efficiency in the electrocoagulation process using an aluminum anode at a concentration of 5 mol/L of calcium ions, and current density of 20 A/m2 after reaction time of min 20 to 99% can also be achieved.
Conclusion: Considering the high fluoride removal rate (more than 99%) in the electrocoagulation process in the presence of calcium ions, this process can be introduced as an efficient technology for fluoride removal.
Alireza Zand Abbas Abadi, Mehrdad Cheraghi, Soheil Sobhanardakani, Bahareh Lorestani, Maryam Kiani Sadr,
Volume 16, Issue 4 (3-2024)
Abstract
Background and Objective: Monitoring of pollutants in urban ecosystems is of particular importance. Therefore, this study was conducted to evaluate the capability of Robinia pseudoacacia and Pinus elderica for biomonitoring of Pb, Cr and Ni in urban areas of Hamedan in 2023.
Materials and Methods: A total of 36 soils and 72 plant samples were collected from 12 sites. The contents of elements were determined using ICP-OES. Also, the values of PI, PLI, BAF, and CR indices were computed.
Results: The highest values of Pb, Cr, and Ni (mg/kg) in soil samples with 72.2, 67.5 and 101 values belonged to the commercial, industrial, and commercial sites, respectively. The highest average content of analyzed elements in unwashed and washed leaves/needles for Pb both belonged to the commercial areas; for Cr and Ni, all belonged to the industrial areas. The average values of PI followed the descending order of Cr > Ni > Pb. The average values of PLI varied from 1.22 to 1.34. Moreover, BAF values of Pb, Cr, and Ni of R. pseudoacacia leaves and P. elderica needles were found to be in the range of 0.100-1.00. Also, the highest mean values of CR of Pb and Cr were both found in P. elderica; and the highest mean value of CR of Ni was found in R. pseudoacacia.
Conclusion: R. pseudoacacia and P. elderica could be used as suitable and efficient species for monitoring and remediation of toxic elements from soil and air in polluted ecosystems.
Ehsan Mohammad Hassani, Reza Rafei, Mazaher Moeinaddini, Niki Aghapour,
Volume 17, Issue 1 (6-2024)
Abstract
Background and Objective: One of the largest sources of methane emissions is landfills, and various models have been developed to predict landfill methane production and emissions. The main goal of this research is to utilize the inverse Gaussian model to estimate g methane greenhouse gas emissions and model it using field data. This study introduces a simple method to estimate the amount of methane emissions based on ambient methane concentrations.
Materials and Methods: In this research, the methane emission rates from landfill were estimated for warm (July) and cold (February) seasons using a sampling campaign from 27 stations and standard inverse Gaussian dispersion equations. Monte Carlo simulation was also employed. To determine the model, an optimization-based method, along with inverse scattering modeling, was utilized to process surface emission monitoring data.
Results: The model results indicated during the cold (February) and warm (July) seasons, the methane emission rates were estimated at 1696.99 and 16.53 g/s, respectively. These findings confirm that the methane production and emission during the cold season were lower than in the warm season, likely due to reduced temperature and bacterial activity.
Conclusion: The method used in this study, the inverse Gaussian dispersion model, can be applied to estimate methane gas emission rates from other landfills. However, it necessitates the permanent recording of data and the use of daily or weekly averages in calculations to mitigate potential errors and enhance the accuracy of modeling.
Hooshmand Bagheri Garbollagh, Fatemh Mohammadi,
Volume 17, Issue 1 (6-2024)
Abstract
Background and Objective: The challenge of fostering healthier societies begins with considering the environment and promoting collective acceptance of environmentally friendly behaviors. Consumer choices regarding the environment impact the health and quality of life for current and future generations. Therefore, it is essential for academics and marketers to understand the concept and characteristics of green consumers. Consequently, the aim of the current research is to identify factors influencing consumers' attitudes toward environmentally friendly products, while also considering the moderating role of green innovation.
Materials and Methods: This study is applied in terms of purpose, descriptive and survey method. The statistical population comprises all consumers of green products in Shahin Dezh city. A sample size of 208 individuals was determined using Cochran's formula selected through simple random sampling. A standard questionnaire was used to collect information. To analyze the research data, structural equation modeling software Lisrel and Smart-Pls3 were used.
Results: The research findings indicated that environmental attitude (significance coefficient of 5.20), health consciousness (significance coefficient of 4.07), and environmental knowledge (significance coefficient of 3.30) positively influence consumers' attitude toward green products. Additionally, the study recognized and confirmed the significance of the green innovation variable as an important moderating factor in this relationship.
These relationships are statistically significant. Additionally, the study recognizes and confirms the green innovation variable as an important moderating variable in this relationship.
Conclusion: Our findings offer valuable insights for tailoring educational strategies targeted at diverse consumer groups to promote the adoption of environmentally friendly products. By fostering such consumer behavior, we aim to contribute to the creation of a healthier environment for both present and future generations.
Mohammad Mosaferi, Jafar Yahyazadeh, Yusef Mohammadian, Farzaneh Moshtaghi,
Volume 17, Issue 2 (9-2024)
Abstract
Background and Objective: The use of pesticides poses serious risks to the health of living organisms. Knowing the type and amount of pesticide use can provide a good information base for managing potential risks from pesticide consumption. This study was carried out with the main objective of determining the types and amounts of pesticides used on agricultural land in East Azarbaijan Province in 2021.
Materials and Methods: Information about the pesticides have been gathered and analyzed by referring to the Agricultural Jihad Organization and other relevant authorities. Calculations related to the amount of pesticides used per unit area were made using the total area of agricultural lands in the province.
Results: Considering the frequency, 403 kinds of pesticides are used in the following order: Herbicides > Insecticides > Fungicides > Acaricides > Others > Disinfectants. Consdidering total consumption of 2873730 kg pesticides, the order based on the amount is: Insecticides > Herbicide > Fungicides > Miscellaneous > Acaricides and Disinfectants based on the amount. The total ratio of pesticides used to pesticides distributed through the official (government) channel is 2.51. The minimum, maximum, and mean consumption values in counties are 0.4, 21.4, and 4.21 ± 5.33 kg/ha, respectively, and for province is 2.38 kg/ha. There is a correlation between the amount of pesticide applied and the number of farmers and traders.
Conclusion: The consumption of pesticides in the province is higher than the world average. Appropriate management of pesticides is required from the viewpoints of environment and health protection.
Ali Amoozadeh, Hamzeh Saghafi,
Volume 17, Issue 3 (12-2024)
Abstract
Background and Objective: In recent decades, the issue of crop product safety has led to develop methods for analyzing pollutants in crops. In the present study, ultra-trace amounts of lead (II) ions were measured in lettuce and water samples collected from Shahmirzad, located in Semnan province, an area known for its lead-containing mineral mines.
Materials and Methods: After sampling and pre-preparation, the lead content in each sample was extracted using solid phase extraction with modified silica gel. The recovery percentage of lead was then determined using atomic absorption spectroscopy.
Results: Optimization of key parameters such as pH, adsorbent amount, analyte flow rate, and volume resulted in a recovery rate of 104%. The experiments also demonstrated a very low limit of detection (LOD) of 1.14 ng/mL, a concentration factor of 250, high analyte selectivity of the adsorbent in the presence of interfering ions, and a high adsorbent capacity of 2.93 μg/g.
Conclusion: The evaluation of experimental data indicates that the current study provides a highly selective method that can be applied to the extraction and recovery of various analytes from different sample types.
Seyyed Shahram Naghibzadeh, Mazaher Moeinaddini, Mehdi Zafaranieh,
Volume 17, Issue 3 (12-2024)
Abstract
Background and Objective: Identiying the most optimal solution has long been an significant challenge for waste management decision-makers. This study aims to develop a decision support system to identify optimal environmental and economic scenarios for waste management.
Materials and Methods: This study presents the development and application of a decision support system that estimates the environmental burden and cost of waste using Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) tools. The system then identifies optimal environmental and economic scenarios for waste management through a linear programming model. Data from the Karaj waste management system were utilized to apply and validate the decision support system.
Results: The outputs of the linear programming model in this system included one scenario based on minimizing environmental impacts and two scenarios based on minimizing costs imposed on the Karaj waste management system (MSWS). In both the environmental and second economic scenarios, incineration contributed the most to waste management, whereas composting was the dominant method in the first economic scenario. Additionally, recycling the maximum possible amount of recyclable materials was a common feature in all three scenarios, due to its environmental and economic benefits.
Conclusion: The result of this study demonstrate that the current Decision Support System can provide optimal environmental and economic scenarios for waste management to the decision-makers in the field. This is achieved by considering the inherent differences in the types of waste produced, the technologies employed, and the processing costs associated with each waste management system.
Seyed Khabat Naynava, Bahareh Lorestani, Mehrdad Cheraghi, Soheil Sobhanardakani, Behzad Shahmoradi,
Volume 17, Issue 3 (12-2024)
Abstract
Background and Objective: Fenitrothion is a phosphorus-based pesticide that enters water resources through various sources,including industrial wastewater and agricultural effluent. its non-biodegradability, which results from the formation of strong chemical complexes, advanced oxidation methods are required to remove it from environmental matrices. This study aimed to evaluate the performance of a magnetic graphene oxide nanocomposite functionalized with cerium dioxide in the removal fenitrothion from aqueous solution.
Materials and Methods: In this applied research, GO@Fe3O4@CeO2 was synthesized and subsequently used as a photocatalyst for the removal of Fenitrothion from aqueous solutions. Characterization of GO@Fe3O4@CeO2 was conducted using X-Ray Diffraction (XRD), Scanning Electronic Microscopy (SEM), SEM-EDX elemental analysis, Fourier transform infrared spectroscopy (FT-IR), and vibrating sample magnetometry (VSM) methods. The effects of various parameters, including pH (2-9), photocatalyst dosage (10-40 mg), and contact time (0-90 min), were assessed to determine their influence on fenitrothion removal efficiency.
Results: The results demonstrated that the removal efficiency increased up to 60 min contact time, 20 mg of photocatalyst. The optimal pH for fenitrothion removal was found to be 4. Additionally, kinetic analysis of the photocatalytic removal process indicated that it followed a pseudo first-order (PFO) model.
Conclusion: The GO@Fe3O4@CeO2 nanocomposite proved to be an effective and accessible photocatalyst for the removal of fenitrothion from industrial wastewater under UV light.
Gholamreza Shaghaghi, Amir Hossein Javid, Sara Allahyaribeik, Ali Mashinchian Moradi,
Volume 17, Issue 3 (12-2024)
Abstract
Background and Objective: The discharge of seawater concentrate from desalination plants into the sea causes irreparable effects on the environment. The purpose of this study is to identify the effects of this discharge, model methods for optimizing it, and design an effective outlet that minimizes environmental impacts and costs.
Materials and Methods: This study discusses impacts of seawater concentrate discharged into the sea, numerical modeling of diffusion, and outlet design based on discharge standards.A review of articles and sources from databases such as Google Scholar, Academia, Scopus, Civilica and Irandak was conducted using keywords such as “brine discharge”, “numerical modeling”, and “outlet design.” Out of 132 reviewed articles, 45 articles were consistent with the objectives of the study.
Results: The effects of seawater discharge can be observed in the discharge area and at greater distances. Numerical modeling is employed to predict pollutant concentrations at various distances and to determine the optimal discharge point while considering established standards. The design of the diffuser and the use of multiple nozzles at an angle of 60 degrees result in the greatest dilution at the discharge point.
Conclusion: The use of desalination systems necessitates addressing the effects of climate change. Appropriate modeling and design of the outlet are essential for complying with environmental standards and optimizing costs. Further research in this field is needed.
Farzad Kalteh, Mohammad Hosein Movassagh,
Volume 17, Issue 3 (12-2024)
Abstract
Background and Objective: The presence of pesticides in milk and dairy products poses a potential risk to consumers. The current study aimed to determine the concentrations of diazinon and cypermethrin in milk, cheese, and butter distributed in Gonbad-Kavus City.
Materials and Methods: A total of 50 samples including raw milk, pasteurized milk, ultra-high-temperature milk, traditional cheese, and traditional butter, were randomly collected from supply centers in Gonbad-Kavus from between 2021 and March 2022. The concentrations of diazinon and cypermethrin in the samples were measured using high-performance liquid chromatography (HPLC).
Results: The mean diazinon levels in raw milk, pasteurized milk, and ultra-high-temperature milk samples were 41.91 ± 9.68, 28.07 ± 5.86, and 40.21 ± 9.52 µg/kg, respectively. The mean cypermethrin levels in raw milk, pasteurized milk, and UHT milk samples were 34.06 ± 8.20, 22.63 ± 5.88, and 29.82 ± 8.09 µg/kg, respectively. Significant differences were observed among the sample types for both diazinon and cypermethrin levels. In cheese samples, the mean diazinon and cypermethrin levels were 57.23 ± 10.59 and 38.12 ± 8.69 µg/kg, respectively. In butter samples, the mean diazinon and cypermethrin levels were 16.77 ± 4.15 and 17.50 ± 6.47 µg/kg, respectively.
Conclusion: The results of the present study showed that the various types of milk distributed across Gonbad-Kavus contain excessive diazinon residues, while the residual cypermethrin levels were below the allowable limit. Therefore, a codified program to reduce diazinon the residuals in milk, cheese, and butter distributed in Gonbad-Kavus should be implemented.
