فهرست مطالب gholamreza nabi bidhendi

A high concentration of Hydrogen Sulfide in biogas is a major problem associated with anaerobic digestion of waste rich in sulfate. It disrupts the functional process and reduces the lifespan of biogas facilities. The micro-aerobic (MA) process is an alternative method for direct sulfurization.

The effect of sulfate loading (200, 500 and 700 mg/L) on H2S in biogas were investigated. Subsequently, the effect of MA process (0.88, 1.04, 1.34 NL/day) on H2S reduction in biogas production was evaluated. Additionally, oxidation-reduction potential (ORP) and pH were measured. Finally, under optimal conditions, the biogas volume and the content of CH4 and CO2 in biogas were determined.

The results indicated that there were no significant differences in biogas volume production between the reactor fed with 200 mg/L sulfate and the control. However, the biogas production in reactors with 500 and 700 mg/L sulfate decreased to 4103 and 3929 mL, respectively. The H2S levels in control and reactors with 200, 500, 700 mg/L sulfate were 0.35, 0.46, 2.4, and 1.8%, respectively. In reactors with MA at rates of 0, 0.88, 1.04, 1.34 NL/day, the H2S levels were 1.95%, 0.9%, 0.4% and 0.1% (V/V) in biogas, respectively. The pH in reactor varied between 2.7 and 4.7, and the ORP was measured between -281 and -291 mV. Statistical analysis shows that no significant difference was observed between the average daily production of biogas with MA process of 0.88 and 1.04 NL/day. However, MA with 1.34 NL/day resulted in a decrease in biogas production.

The results indicated MA at a rate of 1.04 NL/day is a favorable option for the treatment of sulfate-rich urban wastewater sludge due to its efficiency in H2S removal.

The chemical precipitation using lime, caustic soda and soda ash was investigated for the simultaneous removal of Cu and Zn from copper mine industrial wastewater by conducting jar tests in the present study. Jar experiments were performed with a set of polyethylene beakers (500 ml) in order to investigate the effect of two reaction parameters (precipitant doses and initial pH) on the removal of heavy metals. X-ray Diffraction (XRD) and Scanning Electron Microscope (SEM) equipped with X-Ray Energy Diffraction Spectroscopy (EDX) were used to identify the important chemical compounds and to study the surface morphology, chemical composition and particle size of the sludge samples. An increase in the removal of Cu and Zn was observed by increasing the precipitant dose (10-400 mg/L) for each reagent used. Removal efficiency of 90% were obtained for both heavy metal ions. The chemical precipitation efficiency was affected by pH. At high final pH levels (8<pH<10), Cu had higher removal efficiency than Zn by all precipitating agents. In the sludge produced, Zn and Cu were precipitated as amorphous hydroxides including Zn(OH)2 and Cu(OH)2. SEM images showed that the produced sludges have small size and compact structure. EDX analysis determined that in all sludge samples, the content of Cu was higher than Zn. Effluent treatment with soda ash resulted in the sludge production with lower volume and larger particle size. As a result, the use of this precipitating agent can be less expensive for sludge drying steps.

Nestled amidst the Arasbaran protected areas, Kiamaki wildlife sanctuary, and Dizmar protected area, the Aras Free Zone is a region teeming with environmental diversity and ecological significance. However, this region faces significant environmental challenges, primarily due to the overlooking of environmental principles in its economic development processes. This neglect has hindered the realization of sustainable and integrated urban development, affecting everything from initial planning stages to the actual implementation of development projects. Goal: The Aras Free Zone, positioned in the northwest of Iran, serves as a critical conduit to the Caucasus region and Eastern Europe, thereby holding a pivotal role in fostering economic relations. This research is dedicated to the comprehensive management of the cities within the Aras Azad region, emphasizing a balanced approach to environmental management that encompasses the natural, human, and physical dimensions. The objective is to design a framework that facilitates integrated urban management, thereby promoting sustainable development in the area.

This study is foundational in its aim to devise an environmental planning model tailored for the integrated urban management of free zones, with a specific focus on the Aras Free Zone. Its practicality is underscored by the implementation of this model within the zone itself. The research surveyed a demographic comprising 290 managers, officials, and decision-making experts affiliated with the Aras Free Zone. Analysis was conducted across both public and private organizations within the zone, including the Free Zone Organization, Natural Resources and Environment Department, Housing Foundation, and Water and Sewage Department, among others. A random sampling technique was employed to select 166 individuals from the cities of Jolfa, Nordoz, Qolibeyglo, and Khoda Afarin. Data collection was conducted through both qualitative (library research) and quantitative (a researcher-designed questionnaire) methods, while data analysis utilized SPSS version 23 and Topsis Fuzzy techniques.

Crisis management planning within the region unveiled that all identified weaknesses and threats to integrated environmental management are perceived as significant pressures. Except for issues related to unemployment and the presence of unsafe urban spaces along with their consequences and the smuggling of goods or illegal trafficking, most pressures were deemed to be at a critical level, particularly in pre-crisis conditions. The application of the TOPSIS fuzzy test revealed key issues, such as the destruction of environmentally sensitive areas for economic development, land use changes detrimental to the environment aimed at job creation, and pollution caused by neighboring countries due to a lack of environmental stewardship among regional managers. These factors are classified as urgent environmental pressures requiring immediate attention.

The research outcomes are presented through two lenses: crisis management planning and contingency planning. The findings underscore the necessity of adjusting economic and social impacts for the integrated development of the Aras Free Zone's environment. This adjustment should be achieved through enhanced coordination between organizations, the establishment of a unified command structure, and the creation of collaborative platforms. Recommendations include fostering intra-organizational, institutional, and programmatic integration to address the identified challenges effectively. This comprehensive approach aims to pave the way for sustainable development within the Aras Free Zone, ensuring environmental integrity while promoting economic growth.

Graywater and rainwater reuse is one of the primary alternatives for diminishing water consumption in households, commercial and industrial buildings. However, investigating the performance of membrane technology coupled with UV system for the treatment of gray water and rainwater needs more applicable information. The purpose of this study is to evaluate the performance of an experimental system based on membrane technology combined with UV for the treatment of gray water and rainwater in Iran. In this regard, at different pressures (9.5, 4.5, and 1.5 bar), different arrangements of membranes, including microfiltration (MF), ultrafiltration (UF), and reverse osmosis membranes were investigated along with UV lamps. Laboratory scale experiments were conducted to investigate the potential of these technologies and present an optimal membrane arrangement. The efficiency of the process has been discussed in terms of turbidity, TDS, pH, COD, Escherichia coli, and total coliforms. The results indicated that for both gray water and rainwater treatment, the arrangement consisting of a screen, MF, UF, RO, and UV with a pressure of 9.5 bar is the best scenario for reducing COD, TDS, turbidity, and coliform. According to the obtained results, the output flow in the optimal state was 6 liters per minute, and the mentioned scenario was able to remove 95% COD, 98% TDS, 96% turbidity, and 100% coliform from graywater, as well as 82% COD, 94% TDS, 91% turbidity, and 100% coliform from rainwater. Therefore, the study acknowledges that membrane technology with UV is an attractive process and will play an important role in future sustainable life.

Due to the significant variations in land control, also regional changes, in recent several decades, floodwater management has attained a vital importance, from the view of water sources management. The aim of this recent research is to study the role of local distribution Aquifer laver hydraulic units of Safaarood on floodwater climax, by utilization HEC-HMS Hydraulic Model. In order to obtain such a purpose, at first, local distribution of under of lavers was estimated, through the amount of its occurrences Flood & HEC-HMS hydraulic Model, co scaling surfaces map according to region level. Then, by using the map of occurrences Flood and HEC-HMS hydraulic Model, the behavior of sub of lavers bestead in every co scaling surfaces, according to floodwater designed, and at the end, along centenary recursion course was discussed. Through elimination of effect of mentioned sub lavers on each co scaling levels, hydrography of exiting floodwater was stimulated. The results showed that sub lavers levels 1 & 2, located on Safaarood laver exiting with index of 67% and 78% had the least impact, and instead, sub lavers level 4 with index of 1.10% had the most impact on exiting floodwater climax of laver. The amount of created variabilities in median region and superior regions resulted from the figure of laver, on compilation with occurrences flood severity. According to above mentioned issues, recommended that, in order to reduce administrative costs, centralization of administrative operation of Safaarood laver floodwater management on all of the regions, including median and superior regions should be prioritized.

Sludge is a by-product of urban wastewater treatment plants using a biological method, which needs to be properly processed and managed in order to avoid environmental pollution and maintain the health of society. The main goal of the current research is to analyze the amounts of sludge disposal and energy recovery in the wastewater treatment plant in south of Tehran, emphasizing the nexus between carbon and energy footprints. Biogas and electricity produced in the wastewater treatment plant were carefully examined. Their impact on reducing direct and indirect emissions and carbon footprint was calculated using relevant international coefficients based on the amount of methane gas and electricity produced. Also, the amount of waste sludge was analyzed during the period of eight years (2014 to 2021). During the investigated period, at least 2414 tons, maximum 22850 tons and an average of 7265.4 tons of sewage sludge were produced per month. The amount of waste sludge produced per million cubic meters of treated wastewater is 24.4, 99.8 and 57.1 tons, respectively. On average, 9.5 million m3 of methane are produced every year, which is equivalent to 146347.54 tons of CO2/ year. On average, 1.1 MW/hr is produced in the power plant of the treatment plant, which is equivalent to preventing the emission of 3612 to 6472 tons of CO2/ year. The total direct and indirect emissions prevented are equal to 149,960 to 152,820 tons of CO2 equivalent. The production of biogas and its consumption to produce electricity in the investigated wastewater treatment plant has a significant effect on reducing greenhouse gas emissions.

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.

One of the most challenging and critical processes in wastewater treatment is sludge treatment. This study aimed to investigate the effects of low frequency ultrasound and high level of energy on inactivation rate of total coliform of sludge and ascertain the optimal operating parameters of the ultrasound waves.

In this research, the density of ultrasound (W/mL) and time (minutes) were investigated. The effect of these parameters on the inactivation of total coliform in sludge was also investigated.

The results revealed that the optimum operating time and ultrasound density were 30 minutes and 2.5 W/mL, respectively. Also, the frequency of 20 kHz of total coliform removal rate in these conditions was 99.44% .

Ultrasound waves as well as micro and nano bubbles could remove total coliform and decontaminate the sludge, thereby incrementing the rate of treatment.

Urban management has a fundamental role in the sustainability and development of cities. Currently, with the increase in population and the urgent need for water management, the importance of creating water and sewage management systems is very important. The process of managing water supply and demand, especially in the last half century, has led to excessive exploitation of surface and underground water resources in most of the watersheds of the country, and the continuation of this process has led to the continuous worsening of the water resources situation. In the current research, using the analytical method as well as the use of logical analysis, the existing situation in the 4th district of Tehran metropolis was examined from the perspective of the water and sewage management system, and an optimal model was designed based on its structure. The findings indicate that the optimal model includes the provision of a decentralized system based on the creation of treatment packages by the clustering design method, which due to the lack of a suitable domestic option for wastewater treatment in the 4th district of Tehran with a decentralized approach, the cost of the packages is the currency is calculated and this issue has caused the lack of economic competitiveness compared to the centralized approach. The result is that it is possible to optimize the cost and efficiency of water and wastewater management in Tehran to a high extent by presenting this model.

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.

In Iran, as in other countries, social and economic factors have led to land use changes depending on regional conditions. The Taleghan watershed, due to its proximity to population centers such as Tehran and Karaj, construction of the Taleghan Dam in 2001, and becoming a tourist center, has undergone significant changes. Many studies have been conducted to evaluate land use changes in this area, but these studies have investigated changes only until the time of dam water withdrawal in 2005 or until 2016 at most. Thus, this research investigates and analyzes land use changes in the Taleghan watershed over a period of thirty years (1987-2017).

The study focuses on land use changes in the middle Taleghan watershed. A land use map was prepared for the last thirty years (1987, 1998, 2008, and 2017) using Landsat satellite imagery. The hybrid classification method (a combination of supervised and unsupervised methods) was used, and accuracy was measured using Kappa and overall accuracy, yielding acceptable results in percentages. The T index was used to calculate land use changes.

The study shows that the abandoned dryland area (12.08%) is the largest after pasture land use (71.06%). The area of villa construction increased, while the garden area decreased over the thirty-year period. The T index calculation reveals that barelands experienced the most changes during the thirty-year period.

Spatial patterns of land use changes were estimated using spatial statistics and the calculation of the share of changes in various land uses. Location quotients were used to analyze the data, and it was calculated for the land uses that experienced the most changes in each sub-watershed in 1987, 1998, 2008, and 2017. The results of the LQ show that the rangeland area was almost constant during the period of 1987-2017. The areas of irrigated and rainfed agriculture fluctuated due to emigration and immigration during this period. The area of residential land also increased significantly due to the construction of villas and promenades around the lake by indigenous and non-indigenous people. Investigating the variations of the spatial pattern of different land uses revealed that the most changes occurred in the sub-watershed around the dam lake and the main river.

 Landfill leachate is a highly toxic and hazardous form of wastewater due to its complex composition characteristics. Effective removal of heavy metals from landfill leachate is of great concern due to the fact that toxic metals can seriously threaten the food chain, and therefore the human health. The main objective of this work was to study the utilizing of low-cost pruning residues in the production of biochar and its application in removal of lead (Pb) from landfill leachate.

 Leachate produced in Babol municipal solid waste landfill was used as an adsorbent solution. Pruning residues were collected and used for biochar preparation. Biochar produced under the pyrolytic temperature of 700°C with a 1-hour retention time. The adsorption mechanism of pruning waste biochar to Pb was analyzed through BET surface area and scanning electron microscope (SEM) tests. Batch experiments were performed to study the effects of adsorption parameters on Pb removal. The influence of contact time (30-300 min), adsorbent dosage (1-50 g/L), as well as particle size (1-2 mm and 63-75 µm) was investigated. Moreover, the kinetic and isotherm models were applied to the experimental data to predict the adsorption parameters.

 The results obtained from the analysis of the untreated Babol landfill leachate was revealed that the Pb concentration was about 4.94 mg L-1. The surface area of the produced biochar was determined to be 292.44 m2 g-1. SEM microstructure of the biochar showed the developed surface area with visible pores. All of these data seem to suggest a great potential for pruning residues biochar to Pb removal. The adsorption of Pb was mainly affected by contact time, adsorbent dose, and biochar particle size. Higher contact time and adsorbent dosage showed higher uptake of Pb. Whereas, the uptake of Pb ions onto pruning residues biochar was substantially reduced with increase the biochar particle size. Maximum Pb percentage removal was observed at a contact time of 90 min and with an optimum biochar dosage of 20 g L-1 (89.06% removal) for biochar with 1-2 mm particle size. While, biochar with particle size of 64-75 µm can removed Pb to almost 100% at a contact time of 120 min and with an optimum biochar dosage of 20 g L-1. The kinetic study showed that adsorption can be well described by the pseudo-second order kinetic model. This supports the chemisorption theory behind the pseudo-second order kinetic model for the adsorption system. The results of isotherm models implied that the behaviors of the isotherms are more appropriate for the Langmuir model, showing a monolayer adsorption capacity for Pb.

 Findings of this research demonstrated the applicabil ity of pruning residues biochar as an economic adsorbent for the removal of the Pb from landfill leachate. On the other hand, the crop residue burning poses a threat to the environment and human health due to the emission of toxic gasses and particulate matter. So, conversion of pruning residues to biochar and its application to heavy metal removal is a useful and environment-friendly alternative to crop residue and biomass burning.

Occupational incidents in the oil industry have difficulties and problems in the various phases of construction and operation. In this research, we tried to investigate the effect of oil industry risk in phase construction in one of the largest oilfields in the country, Yadavaran field in Khuzestan province. For this purpose, the FMEA model has been used that is typically used to assess the risk of occupational accidents. According to surveys, interviews and statistics, 47 job incidents were identified during the construction phase of this oil field and the details were collected. According to the obtained results, the value of the risk priority value is obtained by an average of 212. Also, based on the type of events classified, several corrections’ suggestions were proposed, which is expected to decreased the RPN to 133.2 which shows a reduction of 37% of the risk priority number. Although changes have been made in the form of low-cost, continuous and periodic suggestions that showed the positive impact of the reform in this area.

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.

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.

Climate change and the increase in the population of cities have caused many environmental problems. The decrease in the function of urban agriculture has also made the efficiency of green infrastructures and their ecosystem services naturally inefficient. The purpose of this research is to provide a model of sustainable cultivation of productive plants in cities to moderate the effects of climate change and land use in District 22 of Tehran Municipality. In this study, the land use map of 2000 and 2020 was made using Landsat satellite images. Then, the LCM model was used to predict land use changes in 2050. RCP scenarios were simulated to investigate climate change. 4 criteria and 21 sub-criteria and the best-worst method (BWM) and the cumulative ratio evaluation method (ARAS) were used to obtain the weight of the selection criteria of fruitful plants. Based on the obtained results, it was determined that green and agricultural areas will change by 12% and -4.5% from 2000 to 2050, respectively. The risk of climate change also predicted a warming of 1.32 to 2.27 degrees. Based on this, the suitability map of the region for urban agriculture and the area of suitability classes according to the criterion of compatibility with the environmental conditions of the region (with a weight of 0.472), ecological conditions (0.268), compatibility with the urban environment (with a weight of 0.179) and aesthetic-cognitive (with a weight of 0.081) was prepared. According to the opinion of experts, fruitful plant species such as Wild Pistachio, Christs thorn, Wild almond, Pistachio, Olive have found the highest priority for cultivation in large and medium urban scale. About 40% of the area has good and high suitability for planting these plants.

Historical sites are signified as important motivation factors in the tourism industry. These destinations have been pictured in historical travelogues and base a data source for gaining knowledge about the history of these sites. But does imaging these destinations follow a pattern among its writers and can these probable patterns be similar to the patterns presented for tourism destinations? For this research the Persepolis-Pasargadae Historical Range was chosen and historical sites in this axis were selected for investigation. The purpose was to assess the perception of historical tourists in this historical range from their written travelogues. Therefore, 65 travelogues were gathered and what they had pictured from these sites was evaluated using the Grounded Theory method.  Results supported the theory that the perception of historical tourists does follow a certain pattern. By comparing the resulted patterns with what is indicated as destination image, a richer concept of destination image emerged for historical sites. This new concept complemented the dimensions of the concept of destination image with in-depth and richer components. Obtained results can be considered as a basis for the development of historical tourism sites.

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.

Effectiveness of the separate collection system is the most important thing in the production of high-quality compost. The present work aims to analyzed the mass balance of two separating machine components used in Babol composting facility (with capacity of 100 ton/day and 250 ton/day) based on recovery factor transfer function (RFTF) model to evaluate their efficiency. After sampling from the input and output of the processing line machines and quantitative and qualitative analysis of the waste, material balance was modeled based on RFTF. Calculations were performed for compost processing lines and a standard material balance diagram was prepared for both separation systems. Results showed that the new processing line of the Babol composting facility (with a capacity of 250 ton/day) has a more favorable performance compared to the old processing line (with a capacity of 100 ton/day). The new line reduced the amount of rejecting waste (refuse compost) by 19.84% compared to the old processing line. Also, by using this processing line, the amount of separated organic waste which will be later used in the fermentation and aeration phase of compost production was increased by 19.39%. In addition, the ratio of extracted materials with economic value was increased by 0.45%.

The results of this study show that the ecological risk assessment index shows the low risk of most sampling areas, while the highest risk is related to the Shahr Park and Mellat Park, respectively. They also have a high ecological risk compared to other metals, cadmium and lead. The enrichment index also shows a significant accumulation of cadmium, lead and zinc and to some extent iron, chromium and nickel in soil samples of the study area due to human activities. Cadmium has the highest index of geochemical accumulation in surface soil samples of Tehran parks. Maximum cadmium levels were observed at stations in the Shahr Park, which are based on the classification of highly contaminated soils. Based on the results of statistical analysis and the enrichment coefficient of potential emission sources are identified as follows:Large amounts of copper, cadmium, lead and zinc enrichment coefficient indicate that human resources are the main source of these metals. Significant positive correlation and behavioral similarity of nickel and chromium with the mentioned metals show that nickel and chromium have the same emission sources with this group. Although these two metals have common sources with other metals, the low coefficients indicate that nickel and chromium may also have natural resources in relation to the surface soil samples of the sampling area.

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.

Considering the importance of animal waste obtained from livestock industries as the enormous raw substances for energy production, the present study was conducted to assess the biogas production potential from livestock manure in dairy industries of Bushehr province, Iran. Temperature is a critical parameter for anaerobic digestion since it influences both system heat requirements and methane production. So, a furthere objective of this study was to evaluate the effect of lowland and highland temperature regimes on the methane production from dairy digesters. Therefore, in this study, obtainable amount of biogas was determined by using data from industrial cattle farms in Bushehr. Then, the amount of the electricity that can be generated from biogas was performed. The findings of this study indicated that biogas potential of 1.97 million m3 year-1 could be produced from livestock manure in dairy industries of Bushehr which could provide an electricity generation of 3.55 million kWh year-1. Methane production under mesophilic temperature conditions could be several times higher than the methane production at psychrophilic and low temperatures. As a result, the highest methane yield was found at temperature of 33.9 °C. Under these condition, methane production potential was found as 2.4 million NL CH4 digester-1. Results showed that anaerobic treatment of manure has the beneficial outcomes of reducing environmental pollution through proper waste management, reduction of unpleasant odors and microbial pathogens with a sustainable production of energy source as biogas.

In recent years, the pollution resulting from dust particles has turned into one of the environmental dilemmas problems in the world, especially in Iran. According to the statistics on Tehran's metropolis, at present, the changed rainfall pattern and increased temperature have led to reduced vegetation and intensified soil erosion in the region, resulting in the phenomenon of dust. Thus, this research was conducted with concentrating on the dust focus evaluation method in Tehran region. First, according to the data from Iran Meteorological Organization and Iranian Department of Environment, the data of dangerous storm on September 2015 were extracted. Then, the behavior and concentration of the studied dust were analyzed using the paired WRF-Chem (weather research and forecasting- chemistry) model. In the next phase, the path of the dust particles was traced using the Lagrangian HYSPLIT (Hybrid Single Particle Lagrangian Trajectory) model. In the research, the main focus of the dust storm clouds of September 2015, in Tehran metropolis was detected as the desert regions of Iraq, Saudi Arabia, and Turkmenistan. Finally, the model outputs were compared with the concentration data from Tehran General Office of Environment to validate the numerical model. In terms of time variation of dust rate and the detection of maximum dust exposure time, the output results of the model provided an acceptable prediction according to the data received from the PM10 (Particulate Matter10) measurement devices of the Air Pollution Monitoring Center of Tehran General Office of Department of Environmental Protection.

Sustainable management of increasing amounts of municipal solid waste (MSW) has become a major environmental concern because improper MSW management leads to substantial negative environmental impacts and health and safety problems. The life cycle assessment (LCA) method has been recognized as an indispensable tool to support systematic and accurate decisions taken on waste management systems. LCA can make a comparison between different scenarios of waste management systems performance from top to bottom to assess the environmental impacts and consumption of resources. This paper aims to determine the environmental aspects of a less impactful MSW management scenario in Babol, Iran through LCA methodology.

In order to achieve this goal, first, the composition study was conducted in Babol. The results were then utilized as a reliable data source to compare the environmental impacts of MSW management scenarios with a life cycle perspective. System boundaries included collection and transportation of MSW and its treatment and disposal by composting, recycling, incineration with energy recovery, and landfilling methods. Data on the process was evaluated with the IWM-2 model by the means of energy consumption and global warming.

 Babol was estimated to generate 91000 tonnes of waste per year. On average, the generation of waste per capita in Babol was about 606 gr/person/day. After being collected throughout the city, the MSW was discharged at stations to transfer to the heavy vehicles and get transported to Anjil-Si complex waste process and disposal. The main component of the waste stream in Babol was food waste (65.3%). The comparative analysis of the six scenarios underscores the fact that the lower potential environmental loads were related to the 4th scenario in all the impact categories. In particular, the lowest energy use was obtained in scenario 4. In this scenario, composting (60%) and recycling (20%) were included in the waste management plan and resulted in a reduction in the amount of waste disposal as well as energy consumption in landfilling. As excess energy was produced in scenario 4 from the composting and recycling stages (by replacing the produced material with raw material consumed in the life cycle, and also by composting and producing other by-products), less amount of energy was consumed in this scenario. In the case of the global warming impact category, the least burden was originating from scenario 4 due to the reduction of greenhouse gas emissions by energy generation as a result of composting and recycling.

According to the results, the 4th scenario (60% composting, 20% recycling, and 20% landfilling) was confirmed as the best waste final disposal alternative. In particular, CO2 emissions decreased by 54% and the energy consumption decreased by 19%, when the alternative scenario, including the recalled features, was compared to the base-case one. The majority of the MSW of Babol consisted of food waste. With a detailed investigation of organic waste, it is possible to benefit from the composting process as an ideal disposal method.