Modeling of phosphorus chemical precipitation in aqueous solutions using response surface methodology Aghdas Afsharirad, Amir Hossein Sayyahzadeh, Shahriar Mahdavi Journal of Applied Research in Water and Wastewater, 2025 Phosphorus is one of the main limiting factors for eutrophication in water resources. According to the increasing population and the worsening of the healthy water shortage crisis in recent years, it is necessary to control the concentration of this element (phosphorus) in water resources. This study was performed with the aim of phosphorus removal efficiency (PRE) and sludge volumetric index (SVI) modeling in the chemical precipitation process, and by using poly-aluminum chloride as a precipitator. In this study, the response surface method (RSM) was used based on the central composite design (CCD) to model the effects of pH, the precipitator concentration, mixing time, mixing speed, settling time, and phosphorus initial concentration on the two desired answers including PRE and SVI. Analysis of variances (ANOVA) of the responses showed that among the above factors, precipitator concentration, phosphorus initial concentration, and settling time on phosphorus removal efficiency has been significant. Also, the most important parameters affecting the sludge volume index were precipitator concentration, settling time, and pH. Phosphorus removal efficiency and sludge volume index under optimal condition (pH=7.46, poly-aluminum chloride concentration=104.85 mg/L, mixing time=133 s, mixing speed=152 rpm, settling time=36 min and phosphorus initial concentration= 6.33 mg/L) was predicted to be 84.68% and 151.79 mL/g, respectively. Based on the average responses obtained from three times experiment under predicted optimized conditions, the phosphorus removal efficiency was 80.03%, the sludge volumetric index was 200.07 mL/g. The predicted and obtained data from the experiments showed conformity, which indicates the accuracy of modeling. The findings of this study showed that the factors of precipitator concentration, settling time, and pH should be well controlled to manage the chemical precipitation process using poly-aluminum chloride.
Sulfate Adsorption from Polluted Water Using Montmorillonite Nanoclay ُShahriar Mahdavi, Behnaz Taherinia, Amir Hossein Sayyah zadeh Environment and Water Engineering, 2024 Sulfate is an important anion in natural waters, and its excessive concentration can be harmful. Therefore, in this study, the efficiency of sulfate removal using nanoclay montmorillonite (adsorbent) from water was investigated by determining the effect of adsorbent concentration, pH, time, and temperature to determine the optimal conditions. The sulfate adsorption isotherms were also examined. The highest sulfate removal was achieved at a concentration of 1 g/l of nanoclay montmorillonite, resulting in 4.47 mg/g or 23% removal, at pH 3 with 2.87 mg/g or 27% removal, at a time of 90 minutes with 2.15 mg/g or 21% removal, and at a temperature of 25°C with 3.54 mg/g or 35% removal. Thermodynamic constants indicated that sulfate adsorption on the adsorbent surfaces is endothermic and spontaneous. The pseudo-second-order kinetic model provided a better fit to the time data, indicating chemical adsorption of sulfate. Among the isotherm equations, the Langmuir equation showed a better fit compared to Freundlich, indicating monolayer adsorption surfaces. Furthermore, the maximum adsorption capacity of nanoclay montmorillonite for sulfate (SO4˭-S) was found to be 9.7 mg/g. SEM-EDX analysis also revealed surface adsorption of sulfur and changes in the surface. Therefore, this nanoclay was effective in removing sulfate from water.
Experimental pH adjustment for different concentrations of industrial wastewater and modeling by Artificial Neural Network Parissa Mehrpour, Seyed Ahmad Mirbagheri, Mohammadali Kavianimalayeri, Amir Hossein Sayyahzadeh, Majid Ehteshami Environmental Technology and Innovation, 2023 Wastewater of mining industries contain high loads of heavy metals. Based on the important role of pH in chemical precipitation of heavy metals, the objective was to find the best pH for the highest amount of precipitation during pH adjustment with aeration for different concentrations (by dilution) and to model it with Artificial Neural Network (ANN). All of data gained from experiments were entered as inputs into a multi-layer perceptron (MLP) network. Experiments show that by increasing pH from acidic to neutral zone, all of parameters reach minimum amount in pH 7.5 and samples with higher concentration have higher pollutant removal. R2, RMSE, and MAD of ANN modeling showed high correlation and precision between experimental and predicted results. Based on the results, pH adjustment is an effective method for removing heavy metals from wastewater. Also, ANN is an appropriate method for modeling and predicting of chemical precipitation.
Evaluating the water quality index in dam lake for cold water fish farming Hamid Amiri, Bijan Hadizadeh, Mehrdad Ghorbani Mooselu, Sama Azadi, Amir Hossein Sayyahzadeh Environmental Challenges, 2021 Water quality monitoring and assessment in drinking water resources are of great importance. The entry of pollutants and nutrients into water resources may cause problems for public health and can increase the bioaccumulation and biodiversity risks. This issue is more critical for dam lakes with more retention time, a primary source for drinking, agriculture, fish farming, and industry. This study applies the universal water quality index (U-WQI) to evaluate the dam lake quality in an arid area and identifies the sources of upstream pollutants over time (2016–2020). For this, 16 physical, chemical, and microbial parameters were quarterly measured in three points of Ilam dam lake in Ilam City, Iran. Then, U-WQI was calculated to evaluate water quality for drinking and cold water fish farming. Over the course of monitoring, the average U-WQI for drinking and fish farming was 176.7 and 190.2, respectively. Seasonal changes in the index suggest that fish farming in spring is more suitable than other seasons since the U-WQI decreases in summer and winter.
Effect of Nano-MgO, Biochar and Humic Acid on Boron Stabilization in Soil in Bath and Leaching Columns Shahriar Mahdavi, Zohre Tarhani, Amir Hossein Sayyahzadeh, Elahe Naderi Peikam Soil and Sediment Contamination, 2020 In this study, batch and column experiments were conducted to investigate the effect of MgO nanoparticles (NPs), humic acid and biochar for boron (B) immobilization in contaminated soil. Results showed that the fate and mobility of B was controlled by adsorption reactions and the amount of B adsorption increased in soil treated with MgO at 2% wt while the amount of B adsorption declined in presence of humic acid and biochar treatments. Maximum adsorption on the basis of isothermal curves was 85.9, 94.0, 50.9 and 83.6 mg kg−1 for control, MgO, humic acid and biochar treatments, respectively. Fractionation of isotherm experiments in soil treated by MgO NPs, humic acid and biochar indicated that compared to control soil the exchangeable fractions decreased in all treatment at initial B concentration of 2 mg L−1 while an increase was observed at initial B concentration of 10 mg L−1. Boron in organic fraction has also enhanced by biochar and humic acid application while this fraction reduced in presence of MgO NPs. Residual fraction showed an increase in presence of MgO NPs and biochar at low initial concentration of B while it reduced in soil treated with humic acid. Column breakthrough testing indicated the outlet concentration becomes equal to the inlet concentration after pore volumes of 4, 26, 3 and 1 for soil control, soils treated by MgO NPs, humic acid and biochar, respectively.
MBBR system performance improvement for petroleum hydrocarbon removal using modified media with activated carbon Amir Hossein Sayyahzadeh, Hossein Ganjidoust, Bita Ayati Water Science and Technology, 2016 Moving bed biofilm reactor (MBBR) system has a successful operation in the treatment of different types of wastewater. Since the media, i.e. the place of growth and formation of biofilm, play the main role in the treatment in this system, MBBR systems were operated in the present research with modified Bee-cell media. Activated carbon granules of almond or walnut shells were placed in media pores to improve the treatment of refinery oil wastewater and their operation with MBBR system was compared with the conventional Bee-cell media. In these experiments, the effects of organic loading rate, hydraulic retention time (HRT), media filling ratio (MFR), and activated carbon concentration (ACC) used in the media were investigated on the operation of MBBR systems. The analysis of results estimated the optimal values of HRT, MFR, and ACC used in the media between the studied levels, being equal to 22 h, 50%, and 7.5 g/L, respectively. Under these conditions, total petroleum hydrocarbons removal efficiencies for MBBR systems using Bee-cell media with carbon of almond, carbon of walnut shells, and a carbon-free system were 95 ± 1.17%, 91 ± 1.11%, and 57 ± 1.7%, respectively, which confirms the adsorption ability of systems with the media containing activated carbon in the removal of petroleum compounds from wastewater.
RECENT SCHOLAR PUBLICATIONS
Modeling of phosphorus chemical precipitation in aqueous solutions using response surface methodology A Afsharirad, AH Sayyahzadeh, S Mahdavi Journal of Applied Research in Water and Wastewater 12 (2), 178-187 , 2025 2025
Remediation of Water Contaminated by Reactive Textile Dyes by Adsorption Using Nickel Oxide Nanoparticles S Mahdavi, F Alimohamadi, F Norouzi Goldareh, AH Sayyahzadeh Iranian Journal of Soil and Water Research 56 (9), 2449-2465 , 2025 2025
Estimating Groundwater Nitrate Concentration using Artificial Neural Networks AH Sayyahzadeh, E Bahadorifar Environmental Engineering and Sustainable Development 1 (2), 35-44 , 2025 2025
Environmental Engineering and Sustainable Development Journal AH Sayyahzadeh, E Bahadorifar 2025
Sulfate removal from water using TiO2 nanoparticles S Mahdavi, B Taherinia, AH Sayyahzadeh Amirkabir Journal of Civil Engineering 55 (11), 2311-2326 , 2024 2024
Experimental pH adjustment for different concentrations of industrial wastewater and modeling by Artificial Neural Network P Mehrpour, SA Mirbagheri, M Kavianimalayeri, AH Sayyahzadeh, ... Environmental Technology & Innovation 31, 103212 , 2023 2023 Citations: 29
Development of a novel induction-heated reactor to enhance the performance of waste tires pyrolysis M Bodaghabadi, F Qaderi, AH Sayyahzadeh Waste Management 162, 27-35 , 2023 2023 Citations: 7
Evaluating the water quality index in dam lake for cold water fish farming H Amiri, B Hadizadeh, MG Mooselu, S Azadi, AH Sayyahzadeh Environmental Challenges 5, 100378 , 2021 2021 Citations: 20
Evaluation of the Modified Moving Bed Biofilm Reactors in Basic Red 18 Removal from Wastewater. AH Sayyahzadeh, M Ghaderi Turkish Online Journal of Qualitative Inquiry 12 (7) , 2021 2021
Effect of nano-MgO, biochar and humic acid on boron stabilization in soil in bath and leaching columns S Mahdavi, Z Tarhani, AH Sayyahzadeh, E Naderi Peikam Soil and Sediment Contamination: An International Journal 29 (6), 595-612 , 2020 2020 Citations: 9
Efficiency modeling of serial stabilization ponds in treatment of phenolic wastewater by response surface methodology F Qaderi, AH Sayahzadeh, F Azizpour, P Vosughi International Journal of Environmental Science and Technology 16 (8), 4193-4202 , 2019 2019 Citations: 27
Optimization of effective environmental parameters on Astrazon Red GTL removal by dominant species Bacillus and Aeromonas: in a concurrent culture study F Qaderi, AH Sayahzadeh, M Ebrahimi Ghadi Cellular and Molecular Research (Iranian Journal of Biology) 32 (1), 87-97 , 2019 2019 Citations: 4
بهینه سازی پارامترهای تاثیرگذار محیط روی توانایی حذف استرازول رد جی تی ال توسط گونه های غالب Bacillus و Aeromonas در یک مطالعه کشت همزمان قادری, سیاح زاده, ابراهیمی قادی پژوهشهای سلولی و مولکولی (مجله زیست شناسی ایران) 32 (1), 87-97 , 2019 2019
Efficiency optimization of petroleum wastewater treatment by using of serial moving bed biofilm reactors F Qaderi, AH Sayahzadeh, M Azizi Journal of Cleaner Production 192, 665-677 , 2018 2018 Citations: 71
Removal mechanisms involved in the petroleum refinery wastewater treatment by MBBR system. AH Sayahzadeh, H Ganjidoust, B Ayati 2017 Citations: 1
MBBR system performance improvement for petroleum hydrocarbon removal using modified media with activated carbon AH Sayyahzadeh, H Ganjidoust, B Ayati Water Science and Technology 73 (9), 2275-2283 , 2016 2016 Citations: 14
حذف هیدروکربنهای نفتی از پساب پالایشگاه نفت با استفاده از جاذبهای طبیعی «بررسی سینتیک و ایزوترم جذب» سیاح زاده, گنجی دوست, آیتی مجله ی مهندسی عمران شریف 31 (3.2), 41-48 , 2015 2015
بهینهسازی تولید کربن فعال از پوست بادام در جذب آلایندههای محلول نفتی سیاح زاده, گنجی دوست, آیتی مجله آب و فاضلاب 25 (5), 108-117 , 2015 2015
Optimization of activated carbon production from almond shell for adsorption of soluble oil contaminants A Sayyahzadeh, H Ganjidoust, B Ayati Journal of Water and Wastewater; Ab va Fazilab (in persian) 25 (5), 108-117 , 2015 2015 Citations: 10
Removal of petroleum hydrocarbons from oil refinery wastewater using natural adsorbents: isotherm and kinetic studies AH Sayahzadeh, H Ganjidoust, B Ayati Sharif Journal of Civil Engineering 312 (32), 41-48 , 2015 2015 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Efficiency optimization of petroleum wastewater treatment by using of serial moving bed biofilm reactors F Qaderi, AH Sayahzadeh, M Azizi Journal of Cleaner Production 192, 665-677 , 2018 2018 Citations: 71
Experimental pH adjustment for different concentrations of industrial wastewater and modeling by Artificial Neural Network P Mehrpour, SA Mirbagheri, M Kavianimalayeri, AH Sayyahzadeh, ... Environmental Technology & Innovation 31, 103212 , 2023 2023 Citations: 29
Efficiency modeling of serial stabilization ponds in treatment of phenolic wastewater by response surface methodology F Qaderi, AH Sayahzadeh, F Azizpour, P Vosughi International Journal of Environmental Science and Technology 16 (8), 4193-4202 , 2019 2019 Citations: 27
Evaluating the water quality index in dam lake for cold water fish farming H Amiri, B Hadizadeh, MG Mooselu, S Azadi, AH Sayyahzadeh Environmental Challenges 5, 100378 , 2021 2021 Citations: 20
MBBR system performance improvement for petroleum hydrocarbon removal using modified media with activated carbon AH Sayyahzadeh, H Ganjidoust, B Ayati Water Science and Technology 73 (9), 2275-2283 , 2016 2016 Citations: 14
Optimization of activated carbon production from almond shell for adsorption of soluble oil contaminants A Sayyahzadeh, H Ganjidoust, B Ayati Journal of Water and Wastewater; Ab va Fazilab (in persian) 25 (5), 108-117 , 2015 2015 Citations: 10
Effect of nano-MgO, biochar and humic acid on boron stabilization in soil in bath and leaching columns S Mahdavi, Z Tarhani, AH Sayyahzadeh, E Naderi Peikam Soil and Sediment Contamination: An International Journal 29 (6), 595-612 , 2020 2020 Citations: 9
Development of a novel induction-heated reactor to enhance the performance of waste tires pyrolysis M Bodaghabadi, F Qaderi, AH Sayyahzadeh Waste Management 162, 27-35 , 2023 2023 Citations: 7
Optimization of effective environmental parameters on Astrazon Red GTL removal by dominant species Bacillus and Aeromonas: in a concurrent culture study F Qaderi, AH Sayahzadeh, M Ebrahimi Ghadi Cellular and Molecular Research (Iranian Journal of Biology) 32 (1), 87-97 , 2019 2019 Citations: 4
Removal of petroleum hydrocarbons from oil refinery wastewater using natural adsorbents: isotherm and kinetic studies AH Sayahzadeh, H Ganjidoust, B Ayati Sharif Journal of Civil Engineering 312 (32), 41-48 , 2015 2015 Citations: 2
Removal mechanisms involved in the petroleum refinery wastewater treatment by MBBR system. AH Sayahzadeh, H Ganjidoust, B Ayati 2017 Citations: 1
Modeling of phosphorus chemical precipitation in aqueous solutions using response surface methodology A Afsharirad, AH Sayyahzadeh, S Mahdavi Journal of Applied Research in Water and Wastewater 12 (2), 178-187 , 2025 2025
Remediation of Water Contaminated by Reactive Textile Dyes by Adsorption Using Nickel Oxide Nanoparticles S Mahdavi, F Alimohamadi, F Norouzi Goldareh, AH Sayyahzadeh Iranian Journal of Soil and Water Research 56 (9), 2449-2465 , 2025 2025
Estimating Groundwater Nitrate Concentration using Artificial Neural Networks AH Sayyahzadeh, E Bahadorifar Environmental Engineering and Sustainable Development 1 (2), 35-44 , 2025 2025
Environmental Engineering and Sustainable Development Journal AH Sayyahzadeh, E Bahadorifar 2025
Sulfate removal from water using TiO2 nanoparticles S Mahdavi, B Taherinia, AH Sayyahzadeh Amirkabir Journal of Civil Engineering 55 (11), 2311-2326 , 2024 2024
Evaluation of the Modified Moving Bed Biofilm Reactors in Basic Red 18 Removal from Wastewater. AH Sayyahzadeh, M Ghaderi Turkish Online Journal of Qualitative Inquiry 12 (7) , 2021 2021
بهینه سازی پارامترهای تاثیرگذار محیط روی توانایی حذف استرازول رد جی تی ال توسط گونه های غالب Bacillus و Aeromonas در یک مطالعه کشت همزمان قادری, سیاح زاده, ابراهیمی قادی پژوهشهای سلولی و مولکولی (مجله زیست شناسی ایران) 32 (1), 87-97 , 2019 2019
حذف هیدروکربنهای نفتی از پساب پالایشگاه نفت با استفاده از جاذبهای طبیعی «بررسی سینتیک و ایزوترم جذب» سیاح زاده, گنجی دوست, آیتی مجله ی مهندسی عمران شریف 31 (3.2), 41-48 , 2015 2015
بهینهسازی تولید کربن فعال از پوست بادام در جذب آلایندههای محلول نفتی سیاح زاده, گنجی دوست, آیتی مجله آب و فاضلاب 25 (5), 108-117 , 2015 2015