naser mehrdadi

Site selection is a specialized field that analyzes the capabilities and potential of a region to determine suitable and sufficient land for various land uses. Incorrect site selection for sewage treatment plants can lead to significant operational challenges. With Mazandaran Province experiencing rapid population growth and inadequate wastewater management, it faces numerous environmental, health, and social issues. Therefore, selecting an optimal site for a wastewater treatment plant, along with effective management to enable wastewater reuse, is essential. The objective of this study is to develop a model for identifying the most suitable areas for constructing a wastewater treatment plant in Mazandaran Province, using the TOPSIS, ANP, and AHP methods, with an emphasis on reuse. The study first identified key criteria, including elevation, slope, geology, vegetation, proximity to cities, roads, faults, and waterways. These criteria were scored based on expert opinions collected via questionnaires. The weights of the layers were calculated using Expert Choice and Super Decisions software. Finally, the optimal location for the plant was zoned using ArcGIS 10.5 software. The results indicate that the areas with extremely high capability, as identified using ANP, AHP, TOPSIS ANP, and TOPSIS AHP methods, were 263,026.5 hectares (11.03%), 180,736.2 hectares (7.58%), 247,257 hectares (10.37%), and 1,141,159 hectares (47.87%), respectively.

Changes in land use sometimes lead to changes in the natural functioning of the environment and the long term, affect the provision of ecosystem goods and services. Therefore, today, the investigation of land use changes has become one of the most important factors in land management decisions. In this study, with different defined scenarios, land use was modeled and the impact of each scenario on selected ecosystem services in Miankale biosphere reserve in Mazandaran province was mapped. At first, the current situation was determined and the land use map was drawn using satellite images. Land use scenario writing based on questionnaires completed by experts and decision-makers in the field of environment and natural resources, including environmental conservation, economic development, and sustainable development, and the scenario of continuing the existing process, and at the end, land use change modeling and mapping of selected ecosystem services (water supply, habitat provision, air regulation, and soil erosion), under the applied scenarios, the output of the modeling of selected ecosystem services was evaluated. The results showed that in the 3 ecosystem services of soil erosion protection, water supply, and habitat provision, the highest value of better quality ecosystem services is available for the environmental, sustainable development, economic, and trend scenarios. For better air regulation services the environmental scenario, The sustainable development scenario, the existing trend scenario, and the existing economic scenario provided the most ecological services. Also, the current trend of land use changes is the most destructive mode of providing ecosystem services in the future. To reduce the environmental effects of the current trend of land use changes, it is suggested to prevent the construction and development of industries, especially petrochemical industries and power plants in the region, and to systematically preserve wetland and forest uses by relying on the participation of local communities.

Photo-electro-catalysis process has received major attention in the past decade as a substitutional wastewater treatment technology. Photo-electro-catalysis process is widely employed for removing different pollutants (organic, and inorganic (cationic and anionic)) from wastewater. It has been recently developed by modifying the photo-reactor system, the experimental parameters, and the structure of photo-anodes during preparation to enhance the pollutants removal from wastewater, reduce their adverse health risk resulting from environmental accumulation, and give a chance to reuse the treated wastewater for a variety of applications. This review aims to summarize recent studies (especially in the last five years) that developed the photo-electro-catalytic degradation system of organic, heavy metal, and mixed pollutants under UV light, visible light, and sunlight. This review demonstrates the effect of experimental variables, photo-reactor arrangements, mass transfer, phase, length, and diameter of nanoparticles or tubes on the anode, type of deposition on the anode, and cathode characteristics (type and dimensions) on the photo-electro-catalytic technologies. The drawbacks of photo-catalysts, affecting the photo-electro-catalytic properties, are also discussed and solved. Finally, the review focuses on the photo-electro-catalysis enhancements by combining this process with other proven treatment processes. This review can provide perspectives on the important factors that evolve photo-electro-catalysis for the complete purification of polluted wastewater in the future.

Dairy wastewater is one of the most pollutant resulting from food industry, which is mainly composed of complex substances such as organic compounds, mineral compounds, chlorides, sulfides, fats and oils. The presence of high organic loading in dairy wastewater causes negative effects on the environment. In this research, magnetic polyaniline with strontium-titanium trioxide was applied as an environmentally friendly, low-cost and efficient Nano adsorbent to reduce polyphenols from dairy wastewater. The synthesized nanocomposite shows a high absorption capacity compared to polyphenols. This feature can be attributed to van der Waals interaction (π-π and electrostatic interactions), n-π interaction, and hydrogen bonding of the adsorbent with the analyte. Polyaniline causes hydrogen and π-π interaction with polyphenols due to the presence of functional groups containing nitrogen and backbone of π-conjugated electrons. Also, the existence of metal orbitals in SrTiO3 enables the formation of Lewis acid base with polyphenols. SrTiO3 nanoparticles give outstanding physical properties, high thermal and chemical stability, acceptable specific surface area to the nanocomposite, which causes a synergistic effect with the unique properties of polyaniline. Finally, due to the presence of magnetic nanoparticles and with the help of an external magnet, time is saved in the separation step. Also, in this article, factors affecting the absorption of polyphenols such as solution pH, adsorbent amount, contact time, concentration and temperature were investigated. The results showed that MPANI@SrTiO3 shows high efficiency by removing 89.41% of polyphenols (under optimal conditions, pH 5, adsorbent amount 20 mg, time 150 minutes at room temperature and salt percentage 0.01(w/v% ). Validity of the proposed method was checked using adsorption isotherm and kinetic models. According to the data, the adsorption kinetics of polyphenols on the MPANI@SrTiO3 adsorbent corresponded to the semi-first-order, and the experimental equilibrium of the Langmuir model was matched with the maximum adsorption capacity of the single layer of 67.11 mg/g. Also, the thermodynamic parameters ΔG° (kJ/mol), ΔH° (kJ/mol) and ΔS° (kJ/mol K) were obtained as -19.8, -60.61 and -0.17, respectively, as a result of the nature of adsorption It corresponds to the exothermic mechanism and physical absorption.

Activated sludge process is one of the most widely used methods of urban wastewater treatment. The purpose of this study is to use nanobubbles to supply oxygen to the aeration reactor in the activated sludge process and to evaluate its performance in terms of increasing the efficiency of wastewater treatment, reducing energy consumption, reducing the amount of excess sludge and its impact on environmental factors. The results showed that the use of nano-bubble compared to the use of macro-sized bubbles increased the concentration of dissolved oxygen in the aeration reactor up to 3 mg/liter, 18% reduction in energy consumption, 10% reduction in the initial investment in the construction of the wastewater treatment plant. 15% reduction in operating costs of the sewage treatment plant. Increasing the efficiency of removing organic pollutants and reducing the hydraulic retention time in the aeration system, reducing the size of the treatment plant by 10% due to the increase in the efficiency of removing organic substances, and as a result, reducing the hydraulic time and reducing the same amount of land for the construction of the aeration reactor and facilities for the production and distribution of air in the aeration reactor. The presented model, which is obtained by using nano-bubbles in the aeration process of bioreactors, is very effective as a new and innovative technology in preserving, cleaning, and sustaining the environment.

Lack of proper municipal solid management in the Northern provinces of Iran has led to damages to the natural resources, health, environment, social and economic conditions. Construction of solid waste processing plants such as compost and incineration, ignoring essential elements in waste management, cannot be as a successful strategy to solve the solid waste problems. Integrated management as a suitable and well-proved solution in many developed countries was proposed for Mazandaran province as a more reliable strategy to replace the existing conditions. In this paper, the results of study conducted for Amol and Noor region have been analyzed. Minimizing waste production, maximizing recycling and reuse, processing organic waste through digestion or composting process, producing refusing derived fuel (RDF) and using it in the waste incineration plants or Neka cement plant and finally disposing less than 10% of the waste in landfill is the proposed solution to improve the existing waste conditions. Implementing the proposed integrated management over a period of 20 years will lead to preventing from economic and environmental damages due to the loss of valuable natural resources and the release of various pollutants from landfills which is evaluated to be equivalent of about 28 billion dollars also, saving resources and energy estimated to be about 38 billion dollars.

Dairy effluents can be considered as the most polluting wastewater from food processing due to the high pollution-loading and the presence of large amounts of organic compounds such as casein, carbohydrates and fatty acids. Dairy effluents containing fatty acids have adverse effects on the environment and human health due to their stability and biodegradation.Therefore, in the present study, an adsorbent based on polyaniline-magnetic graphene oxide nanocomposite (MGO @ PANI) was synthesized through in situ polymerization of aniline monomer to remove fatty acids in industrial effluents. In situ synthesis is designed to overcome the challenge of nanoparticle aggregation where polymers typically act as nanoreactors and serve as an environment for nanoparticle synthesis. The presence of oxygenated functional groups such as hydroxyl and epoxy groups in graphene oxide (GO) and the presence of nitrogen-containing functional groups such as imine and amine groups in polyaniline all contribute to the absorption of fatty acids. characterization of functional groups, morphology and composition of adsorbent element of MGO @ PANI were performed by FT-IR, FE-SEM and EDX techniques. the parameters affecting the efficiency of fatty acid removal such as pH, adsorbent dose, contact time, concentration and temperature were investigated. The results showed that MGO @ PANI showed high efficiency by removing 94.60% of fatty acids (under optimal conditions of pH 7, dose 15 mg, time 50 minutes at room temperature). The experimental data were well matched with the Freundlich adsorption isotherm (multilayer model of the adsorption process). The study of adsorption kinetics also reveals semi-second-order kinetics. In addition, the thermodynamic study showed that the adsorption of fatty acids on MGO @ PANI is exothermic and the mechanism of physical adsorption.

Nowadays, the contamination of water resources with antibiotics are known as one of the major pollutants in the environment due to their widespread use, toxicity, causing drug resistance, and lasting effects. This study was designed to evaluate the efficiency of the advanced oxidation process of sodium persulfate activated with steel industry slag in the presence of ultraviolet rays, solution temperature, and pH aimed at eliminating the Azithromycin antibiotic from aqueous and effluent media. In the present study, the effect of the variables, including pH, solution temperature, reaction time, initial concentration of antibiotics, sodium persulfate concentration, and UV ray intensity was examined on the process efficiency. A High-Performance Liquid Chromatography (HPLC) machine was also used to measure the concentration of the Azithromycin antibiotic. According to the study results, under optimal and certain conditions in which sodium persulfate: 2 mM, pH: 2, iron ions level in the steel industry slag: 0.4 g/l, UV intensity: 8 watts, and during 60 minutes, the elimination efficiency rates of Azithromycin antibiotic, COD, and TOC were obtained as 91%, 57/4%, and 43/8%, respectively with a mineralization level higher than 55%. The rate of Azithromycin antibiotic removal was directly related to the concentrations of iron ions, sodium persulfate, UV intensity, and the temperature. However, increase in the pH from 2 to 10 led to decrease in the process efficiency from 81% to 43%, and enhance in the initial concentration of Azithromycin antibiotic from 5 to 50 mg/l also reduced the removal rate of the antibiotic from 73% to 43%. The research revealed that the advanced oxidation process of sodium persulfate activated by steel industry slag in the presence of ultraviolet rays can be used as a proper method with high efficiency to eliminate the high concentration of antibiotics found in a real sewage sample.

The performance of the Fe3O4- CeO2- NH2/ chitosan/ Polyvinyl alcohol nano hybrid synthesized by casting method was investigated for the adsorption of Cu (II) and Ni (II) cations from water system. The synthesized nano hybrid adsorbents were characterized by FESEM, BET and FTIR analyses. The effect of single and binary oxides content, Fe3O4-CeO2-NH2 content, pH, initial cation concentration, contact time and temperature on the adsorption capacity was evaluated in a batch system. The results showed that the adsorption capacity significantly increased after modification of adsorbent with Fe3O4- CeO2- NH2 nanoparticles. The kinetic and equilibrium data were accurately evaluated by the double- exponential and Redlich- Peterson models, respectively. The maximum adsorption capacity of nano hybrid adsorbent was estimated to be 246.9 and 88.6 mg / g at 45 º C for Cu (II) and Ni (II) cations, respectively. Thermodynamic investigation indicated an endothermic and spontaneous adsorption for both metal cations; and adsorption was favored at higher temperature. The synthesized nano hybrid can be easily regenerated after five cycles of adsorption- desorption. 

Freshwater scarcity is leading the world to research into the reuse and recycling of industrial wastewater.

In this research, in order to improve the quality of the effluent of the treatment plant and the possibility of using it as a source of fire water, the effluent of the wastewater treatment plant of Gharb town was used as an analysis unit. On-site sampling and qualitative tests were performed on samples prepared in 20 liter containers in Tehran University Laboratory. In other words, the method of conducting the present study was laboratory. Data collection tools in this study consisted of pH meter, TDS meter, spectrophotometer DR5000, turbidimeter, and thermal reactor.

This research investigates on Electro-Coagulation and Hydraulic Retention time and the way that it effects on treated wastewater Quality, for so, 9 samples with 20 liters’ plastic pot has been taken and examined in different contact time including 1, 2, 5, 10, 24, 48, 72 hours. The results show that all goals parameters (pH, Total Dissolved Solid (TDS), Phosphate, chloride, Sulfate, total Hardness, Silica, suspended solid (SS), Iron (Fe) and Manganese (Mg) are in standard Range but there is in one sample the Chemical Oxygen Demand (COD) was not in standard Range. Also the experiment shows that all parameters concentration was decreased by time except Hardness and Sulfate which were increase. Also Biologic Parameters examined as well and they were on standard Range.

The results show that the treated wastewater Quality was in Standard Range till 72th hours and after this time due to rapid increasing of Sulfate and increasing of its smell it not suitable for use as water source in firefighting. Further more 9 other samples had been examined after using Electro-coagulation as an advanced treatment and disinfection aid fallowing by Sodium hypochlorite disinfection, the result shows that COD is decreased and all parameters got better for reuse, especially Biological parameters.

Heavy metal contamination has become a global issue. In this study, the concentrations of arsenic (As), lead (Pb), nickel (Ni), zinc (Zn), chromium (Cr), copper (Cu), and cadmium (Cd) in the air of the Tehran metropolis were measured. Also, cancer and non-cancer risk assessments were performed to quantify the rate and effect of infection on health. Sampling was done every month from April 2019 to March 2020 for one year. Sampling points in the whole city were determined based on Municipality 22 districts of Tehran. The concentrations of the studied heavy metals in nanogram per cubic meter ( /m3) showed the following order: Zn (106.22) > Pb (31.65) > Cu (16.38) > As (5.83) > Ni (5.77) > Cr (5.62) > Cd (5.36). The results indicate that in non-carcinogenic risk assessment, the hazard index (HQ) of As (8.20E+00), Ni (8.67E+00), Cr (1.14E+00), and Cd (1.13E+01), and the total hazard index (HI) of 2.94E+01 are above the safe level of 1, indicating the potential threat of non-carcinogenic diseases through the inhalation of air. According to USEPA guidelines, the risk of carcinogenicity is unacceptable for Cr, acceptable for As, Cd, and Ni, and without any significant health effects for Pb. The total carcinogenic risk of metals was 1.10E-02, being in the high-risk range. Therefore, exposure to heavy metals through air inhalation increases the risk of cancer and mortality, so 61 people annually suffer from various cancer types due to the inhalation of air. The Monte Carlo simulation uncertainty results also confirm those of non-carcinogenic and carcinogenic respiratory risk analysis of heavy metals in the air. The obtained results indicate the need for improving the air quality in Tehran needs and taking into account the health risks to humans via inhalation exposure to heavy atmospheric metals.

Concrete is the most commonly used material in the construction industry after water because of its special properties. However, the production process of Portland cement has major environmental drawbacks, as it is responsible for 8% of global CO2 emissions (4 billion tons per year). Therefore, it seems necessary to use an alternative to conventional cements (Portland). In recent years, geopolymer has been introduced as a new and environmentally friendly cement agent to replace Portland cement. Geopolymers are chains or networks of mineral molecules linked by covalent bonds and consist of a combination of two main components, the aluminosilicate source (secondary raw material) and the alkaline activating solution. They can have excellent technical properties such as high mechanical strength, good chemical resistance or high thermal resistance. The fact that the good performance of geopolymers can also be achieved by using secondary raw materials such as industrial waste including fly ash or slag has been proven by various studies. This shows the great attention given to this technology. The use of waste to produce geopolymers can not only solve the problem of waste disposal, but also reduce the consumption of secondary raw materials. However, there is limited knowledge about the environmental consequences of geopolymer production. In this paper, an overview of the impacts of geopolymer production from an ecological perspective is presented. In addition, the drivers of the ecological impact of geopolymers are discussed to provide guidance for the development of geopolymer compounds for diverse applications.

The use of seawater containing Reverse Osmosis effluent is very serious for the daily living of the coastal residents, especially for farmers. In this study, a one-year field test was carried out for electrical conductivity reduction of Persian Gulf seawater in Iran, during 2017 and 2018. The test was conducted in two filters each with a diameter 2.5 cm (or 0.025 m) and 18.5 cm (or 0.185 m). In the filters, crumb mineral mussel was used as one of the main components of filter materials. The minor components of filter materials were comprised of coarse-grained gravel, fine-grained activated carbon, and fine-grained sand. The well water as low-saline water for the background of seawater treatment and seawater as super-saline water were treated. The test was performed as the pilot, batch, and column design with three replicates. The volume of daily treated seawater and the efficiency of reduction of electrical conductivity and salinity were determined. The volume of treated seawater by each of the filters was at least 10 times the diameter of each of those. The maximum reduction efficiency of electrical conductivity and salinity in a filter with 2.5 cm (or 0.025 m) diameter was 97.09% (from 85.2 to 2.48 mS/cm or from 8.52 to 0.248 S/m) and it was 98.2% (from 61 to 1.1), respectively. Maximum reduction efficiency of the parameters in filter with 18.5 cm (or 0.185 m) diameter was 97.5% (from 84.8 to 2.12 mS/cm or from 8.48 to 0.212 S/m) and it was 97.69% (from 60.7 to 1.4), respectively. Electrical conductivity in outlet water from filters was less than 3 mS/cm (or 0.3 S/m), below the permissible limit recommended by World Health Organization and also the Iranian Department of Environment for agriculture and irrigation usage. Based on these results a non-continuous method seems promising in the biological growing phase in filters.

The current state of water resources in Iran and the process of governing them in recent years indicate the importance of demand management and water consumption reduction in all fields, such as agriculture, industry, service, and domestic. Suppose water consumption reduction or demand management are not applied, or accurate knowledge of freshwater consumption assessment is not acquired in various environmental fields due to dwindling water resources. In that case, it will be difficult or uneconomical for industrial production to provide fresh water in the near future. Furthermore, the adverse environmental impact of freshwater consumption on various industries and its recurrence will inevitably cause an imbalance in the ecosystem and result in many problems.

This study analyzed eight parameters of environmental impact assessment through Life Cycle Assessment (LCA) after apprising blue water footprints in the production of methane, ethane, propane, butane, gas condensate, and sulfur at the processing units of Asalouyeh Gas Refinery by taking the essential items into account (consumed blue water, electricity consumption, and consumption of common and widely used chemicals in the production process).

The results of the environmental impact assessment of producing each ton of the aforementioned products are as follows: Environmental impact of acidification: The greatest impact was left by gas condensate, which produced 5.086 kg of SO2, whereas the smallest impact was made by sulfur production with 0.813 kg. Environmental impact of eutrophication: The greatest impact with 0.476 kg of 4 - was left by methane production, whereas the smallest impact was made by sulfur production with 0.147kg of 4 - - . Environmental impact of global warming: The greatest impact was made by gas condensate, which produced 1140.161 kg of CO2, whereas the smallest impact was made by sulfur production, which produced 182.425 kg. Environmental impact of photochemical oxidation: The greatest impact was left by gas condensate, which produced 4.313kg of NMVOC, whereas the smallest impact was made by sulfur production, which produced 0.69 kg of NMVOC. Environmental impact of abiotic element depletion: This parameter is considered because of the very small quantities of software in all gas refinery products. Environmental impact of fossil fuel depletion: The greatest impact was left by gas condensate, which produced 85137.066 kg of MJ, whereas the smallest impact was made by sulfur production, which produced 13621.928 kg of MJ. Environmental impact of water scarcity: The greatest impact was left by gas condensate with 15906.544 m3, whereas the smallest impact was left by sulfur production with 2545.046 m3. Environmental impact of ozone layer depletion: The greatest impact was made by sulfur, which produced 8.121 kg of CFC11, whereas the smallest environmental impact, with a large difference from sulfur and a small difference in numerical values, was left by other refinery products.

The results of measuring the blue water footprints in the production process revealed that gas condensate consumed the largest amount of water and sulfur consumed the smallest.

Today, antibiotics are known as one of the major environmental pollutants, particularly of water, due to their widespread use, toxicity, causing drug resistance and their lasting effects. This study was designed to evaluate the efficiency of the advanced oxidation process of sodium monopersulfate activated with steel industry slag in the presence of ultraviolet rays aimed at eliminating the tetracycline antibiotic from aqueous and effluent media. We examined the effect of the variables of pH, solution temperature, reaction time, initial concentration of antibiotics, sodium monopersulfate concentration, and the UV ray intensity on the process efficiency. A high-performance liquid chromatography machine was used to measure the concentration of the tetracycline antibiotic. According to the study results, under optimal and certain conditions (sodium monopersulfate: 2 mM, pH: 2, iron ions level in the steel industry slag: 0.4 g/L, UV intensity: 8 watts) and during 60 minutes, the elimination efficiency rates of tetracycline antibiotic, COD, and TOC were obtained as 98%, 61.8%, and 48.9%, respectively, with a mineralization level higher than 55%. The rate of tetracycline antibiotic removal was directly related to the concentrations of iron ions, sodium monopersulfate, UV intensity, and the temperature, while increasing the pH from 2 to 10 decreased the process efficiency from 98% to 46%; and enhancing the initial concentration of tetracycline antibiotic from 5 to 50 mg/L also reduced the removal rate of the antibiotic from 86% to 47%. The research revealed that the advanced oxidation process of sodium monopersulfate activated by steel industry slag in the presence of ultraviolet rays can be used as a proper method with effective efficiency to eliminate the high concentration of antibiotics found in a real sewage sample.

Water distribution networks are prone to terrorist attacks by injecting toxic substances, due to their vastness and availability. The main objective of this paper was detecting the extent of intentional pollution in the urban water distribution network by self-organizing map (SOM).

The existing hydraulic condition of the water distribution network covered by reservoir No. 4 in Tehran was modeled as a pilot. Possible injection scenarios of contamination in different parts of the water distribution network were performed using qualitative analysis of the water distribution network, using the EPANET analyzer engine and coding in R software environment. Artificial neural network of SOM was used to find the contamination range for the injection of arsenic at different times and places in the distribution network.

The concentration of contamination at a certain point decreased over time and a high correlation was observed between time and concentration. The extent of contamination depended on the consumption of subscribers and consequently, the time of contaminat injection. The results of the artificial neural network model showed that the method developed in this research was 91% accurate and was able to determine the extent of contamination in the water distribution network at high speed.

SOM can be used as a complement to the water quality monitoring and pollution detection system in the urban water distribution network to determine the extent of pollution when detecting potential pollution in the shortest possible time, and as an alternative to quantitative-qualitative modeling of the water network.

Today, plastics have a special place among the various issues that are considered as sources of pollution. Most of these plastics are in the dimensions of Micro and Nano. One of the most important sources of Microplastics transfer is wastewater treatment plants, where a large amount of these particles, which are not removed in the treatment process, enter the receiving environment. The purpose of this study is to first determine the optimal method of identifying and extracting particles from wastewater for counting and then to investigate the amount of removal and also to determine the amount of particles leaving the treatment plant.Sampling of inlet and outlet of wastewater treatment plant located in Mazandaran province was done seasonally in three seasons of spring, summer and autumn to determine in which season of the year, the amount of microplastics in wastewater increases or decreases. Also, the extraction and identification method is based on acid washing operation and based on creating a density difference, which has resulted in a favorable result with optimization and innovation.Using this method, the amount of Microparticles and microfibers along with the size and shape of the particle was determined and it was determined to what extent the normal treatment process is able to separate Microplastics from wastewater. The treatment plant can remove an average of 95% of the particles, which means that the remaining 5% of the particles are removed with the effluent and enter the aqueous environment.Finally, it was found that the determined laboratory method can identify and extract Microplastics in very small sizes to a very desirable extent. Also, determining the appropriate parameters of liquid volume, salt consumption and the use of dual capacity iron increased the efficiency compared to other methods and led to the identification of smaller particles than previous research.

The rapid development of advanced technologies in the world increases the impact on the daily accumulation of heavy metals in daily life through wastewater. Long-term contact of the human body with heavy metals leads to a variety of infections and diseases. From an environmental and economic perspective, adsorption is an acceptable process that can be used in wastewater treatment. . However, the use of accepted and costly activated carbon adsorbents has led them to look for a suitable alternative to activated carbon. Many studies have been conducted on the physical and chemical properties of geopolymers, which have attracted attention to the replacement of activated carbon in the treatment of heavy metals. In this paper, based on scientific evidences, the absorption of heavy metals using geopolymer is investigated.

 In designing ecological industrial parks, an attempt is to maximize the self-purification of the system by defined mechanisms in order to reduce the pollution produced by industries first and then, to reuse the by-products of industrial processes. Due to the high vulnerability of the coastal sector, species diversity and rapid sequence in the region, the use of environmental methods in the environment of shahid salimi powerplant (Neka) is inevitable. The purpose of this study is to calculate and model the distribution of SO2, NOx pollutants to be displayed seasonally and annually using ADMS software in the form of GIS layers and to achieve the design criteria of an eco- industrial park in the study area, the mass flow of SO2 and NOx is calculated in gr/sec and also the flue smoke of the powerplant fuel consumption is analyzed in cold and hot seasons of the year separately. The results showed that in Neka power plant, the average concentration of NOx gas per unit of steam is 304 μg/m3 and in combined cycle unit is 77.75 μg/m3 and also the average concentration of SO2 per unit of steam is 267.25 μg/m3 during the year which does not meet any of WHO and European clean air standards.