نشریه علوم و تکنولوژی محیط زیست
سال بیست و یکم شماره 7 (پیاپی 86، مهر 1398)

Modeling water quality of rivers can be used as one of the most effective tools for water quality management in rivers and reducing the environmental impacts of entering pollutants. The purpose of this paper is to use the valid QUAL2Kw 5.1 model to model water quality in Shahrood River.

In this paper, seven parameters of water quality have been used including dissolved oxygen (DO), biochemical demand oxygen (BOD), pH, total dissolved solids (TDS), total phosphorus, and total nitrogen four times in Shahrood River. Data from October of 2007 and July of 2008 were used to calibrate and data from September and October of 2008 were used to verify the model. Auto-calibration of model coefficients was done using genetic algorithm of the model. In order to compare simulated results with the observed data, determination coefficient and mean absolute error were used.

The most important calibration coefficients of the model were related to TSS, BOD, total nitrogen and phosphorus. This model in simulation of pH and EC with mean absolute error of 0.19 and 163.89 during verification stage showed the most and the least accuracy, respectively. On average the minimum and maximum DO were measured 6.93 and 9.99 mg/L in September and October of 2008 respectively in Shahroud River. Also the highest and lowest accuracy of the model in simulating these parameters were related to July and October of 2008 with mean absolute error of 0.86 and 1.29, respectively. In addition the results showed accurate hydraulic modeling of hydraulic parameters changes of the river along the river had a great influence on modeling of the water river quality.

The results of this paper show the accuracy of the QUAL2Kw model in simulating water quality parameters of Shahrood River. On the other hand, the accuracy of the simulation of each parameter varies with the amount of its variation along the river so that the less the changes in a parameter along the river and at different intervals, the higher the accuracy of the model in simulating this parameter will be.

In this study, a nanophotocatalyst with more effective efficiency was synthesized by doping of TiO2 and Fe2O3 nanoparticles supported on natural zeolite. Main and interacting factors in the process and determining optimum operating conditions degradation efficiency Reactive Blue 19 dye degradation efficiency were investigated.

Synthesized nanophotocatalyst was characterized by XRD, XRF, FT-IR, FE-SEM and EDX analyses. Efficiency of the nanophotocatalyst for the degradation of Reactive Blue 19 dye with UV lamp at 254 nm wavelength was studied via Taguchi method and the parameters were chosen as following: pH (2-7), dye concentration (50-200 mg/l), irradiation time (30-120 min), and nanophotocatalyst concentration (0.5-1.5 g/l).

pH, dye concentration, and irradiation time were the most effective factors in these experiments respectively. The complete degradation of contaminant was achieved at optimal conditions as follows: dye concentration=50 mg/l, irradiation time=120 min, pH=2 and nanophotocatalyst concentration=1.5 g/l.

This study showed that the synthesized Nano photo catalyst has acceptable efficiency for the degradation of a non-biodegradable pollutant.

Accurate information about the river flow significantly influences the water resources management for the communities that use the water. In this regard, this study aims to present a reliable prediction of the monthly discharge of Shahpour River, inflow to Raees-Ali Delvari Dam, located in the Boushehr Province, Iran.

To forecast the monthly inflow to Raees-Ali Delvari Dam, the artificial intelligence models, i.e. artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), were applied. Also, uncertainty determination of the both models was carried out in order to improve the application of their results in the management decisions in the water sector. In this regard, the simulated results of the models, tuned with the different pattern of calibration data, were used. Two indices, i.e. the width of confidence band (d-factor) and the values bracketed by 95 percent prediction uncertainties (95PPU) were applied in order to evaluate the models’ uncertainty. 

Results of tuned ANN and ANFIS models indicated that although the both models had the appropriate values of determination coefficient (R2) and mean absolute error (MAE), their performance was along with considerable errors in the high extreme values. Besides, a look at through the uncertainty results of the models indicated the ANFIS model, that included the less d-factor and higher 95PPU values, had less uncertainty than the ANN.

Considering the same performance of the both ANN and ANFIS models in the calibration and test steps, it can be concluded that the ANFIS model was the best selection for monthly inflow prediction into Raees-Ali Delvari Dam due to its less uncertainty that ANN model.

This paper proposes frequency control of micro grids in islanding mode with expected scenarios. Micro grids are able to operate in islanding mode. One of the most important difficulties for micro grid in islanding mode is frequency instability or frequency fluctuation.

For rapid Frequency Control, power balance between generation and consumption should be provided momentary which can be achieved with ESS like batteries. Battery station with power electronics devices interface (BESS) due to having very fast dynamic response well designed can lead to improve frequency stability via absorption or injection of active power. Normally to achieve maximum usage of battery capacity considering available charge, choosing efficient control method is so crucial. Two different scenarios are considered to prove of efficiency of proposes cooperative control method using MATLAB/SIMULINK software. In the first scenario on islanding mode micro grid is studied in case of load variation but in another scenario both solar panel outage and load variation solar occurrence are simulated.

In both scenarios, the proposed control method is simulated by changing the load and solar cell outflow. It was observed that the frequency oscillations were attenuated by a few tens of seconds and at the same time the battery returned to its minimum value after power was applied. It also keeps the voltage deviations within its normal range. By adjusting the control coefficients, this damping process for frequency fluctuations can be improved.

A new cooperative frequency control method is introduced by combination of frequency control strategy and battery energy storage system via diesel generator attendance, the suggested method presents an efficient method during islanding mode operation of micro grid for frequency fluctuation considering minimum requested power of BESS, provide setting of control coefficients causes improvement of damping rate as well.

Cationic dye malachite green is one of the most important toxic compounds in industrial wastewater. Typically, physicochemical or biological methods are used to water treatment and wastewater containing high concentrations of malachite green. In the present study nanocomposite hydrogels based on carrageenan and sodium alginate in the presence of sodium montmorillonite as Nano clay were synthesized and then used to study the absorption of malachite green from aqueous samples.

Acrylamide was used as a monomer, methylene base acrylamide as an organic cross linker and potassium sulfate as an initiator. The adsorption of cationic dye malachite green by the nanocomposite hydrogels was investigated. The structures of nanocomposite hydrogels were investigated by (FTIR, XRD and SEM) techniques. The effect analytical parameters such as pH, contact time for the removal of dye material by synthesized nanocomposite hydrogels were investigated and optimal conditions were obtained.

According to the results, synthesized nanocomposite hydrogels are sensitive to pH and changes in the amount of carrageenan and sodium alginate. Equilibrium absorption time is 3 hours. The absorption isotherm with Langmuir model and absorption kinetics was more suitable for pseudo-second order kinetic models.

The rate of removal of malachite green dye increases with increasing amount of Nano clay in the acidic medium. Finally, it can be concluded that the bio-polymer mixture of carrageenan and sodium alginate in the presence of sodium montmorillonite nanoclay is a suitable absorbent to remove the malachite green dye from aqueous solutions.

 Thermal stratification in the reservoir changes the physical, chemical and biological quality at different levels. Temperature conditions of the reservoirs can be predicted using mathematical models. CE-QUAL-W2 is a two-dimensional, hydrodynamic and water quality model that is used for thermal stratification regarding its capabilities.

 CE-QUAL-W2 is used for thermal stratification in Seymareh dam. Calibration is first step in modeling. Calibration is an iterative process whereby model coefficients are adjusted until an adequate fit of observed versus predicted data is obtained. CE-QUAL-W2 model has three calibrations phase including volume-elevation, water balance and thermal calibrations, all have done for model optimum performance. After the calibration, stratification results are extracted for the various months.

 The root mean square error of calibration calculated by comparing the actual data and the observed data were 0.5, 0.05 and 1.62, respectively, indicating that the model for the layer Thermal conditioning is suitable. This stratification continues from March to December and culminates in autumn. The thickness of the surface layer of water, called the roller, varies from month to month. This difference is also seen in the middle layer or the thermocline in different months. The thickness of roller in December is more than other months.

 Based on modeling information, it has been determined that the Seymareh Dam has a thermal stratification period. The presence of this layering in the reservoirs causes the organic matter and sedimentation of sediments to gradually increase in the bottom of the reservoir.

Kriging methods especially ordinary kriging are more popular than other interpolation methods because of less uncertainty and the least possible variance. However, various complications in the procedure of this method limit its uses. Therefore, empirical Bayesian kriging has been introduced to overcome the problems of ordinary kriging.

In this study, the efficiency of ordinary kriging and empirical Bayesian kriging was investigated to determine the spatial pattern of concentrations of Ni, Cu and Zn in the soils surrounding the Esfarayen industrial complex. For this purpose, 35 surface soil samples (0-20 cm) were collected in area of nearly 87 Km2 and the metal concentrations were determined in the soil samples using a Flame Atomic Absorption Spectrophotometer (FAAS). The ordinary and empirical Bayesian kriging were utilized for interpolating and cross validation including RMSE, NSE and PBIAS were used to assess and compare the efficiency of two methods.

The results showed the mean concentration of Ni, Zn and Cu were 23.61, 58.47 and 12.51 mg/kg respectively. Based on the results the mean concentration of Zn and Cu were more than background concentrations of the metals, whereas Ni concentration was less than background concentration.
Discussion and

The experimental vario-gram of Cu, Zn and Ni concentrations were best-fitted by exponential, exponential and spherical models respectively. The results of cross validation indicated that the empirical Bayesian kriging was more accurate than ordinary kriging to estimate the elements concentration, though this difference was not considerable.

The high rapid urbanization, unappropriated patterns of consumption, changes in living standards and diversity of productions are the main factors of increasing of waste generation and changes in the composition of wastes that cause many problems in the environment. Accordingly, selecting a suitable site for landfill can prevent their adverse environmental impacts.

This investigation is an applied research using descriptive-analytical methods and was aimed to determine appropriate location for waste landfilling of Hidaj city in Zanjan province. For this purpose, the Analytic Hierarchy Process (AHP) and ArcGIS 10.3 software were used. Accordingly, and given the required parameters for choosing the optimum site that have an important role in site selection, weighting using hierarchical method was performed and thereafter the layers were overlaid and the optimum sites were identified.

According to the results, the suitable area for landfill was diagnosed in the eastern part of the Hidaj city. The required area of land for landfill was determined based on the average rate of population growth, density of generated waste, volume of waste mass, and the average per capita of waste generation in the study area.
Discussion and

The results showed that the selected area likely has high potential for landfilling of municipal solid wastes of Hidaj for the next 20-year period.

The research includes an assessment of the environmental effects of the Iran Khodro Manufacturing Plant, with an emphasis on the application of the Iranian Leopold Matrix Method, prepared by Majid Makhdoom. Experts from Iran Khodro Factory, Environmental Organization and experts of the Municipality of Tehran region 21 have been used to rate each work in this method. The result of the matrix may be one of the following: the project is rejected, the project is approved, the project is verifiable with corrective options, the project is approved with the submission of improvement projects or that the project can be approved by presenting improvement plans and corrective options.

By analyzing the Leopold matrix, it was determined that the number of negative algebraic effects is equal to 8 and the number of consequences, the negative algebraic average in the row is equal to 9. Among them, the number of negative consequences less than -3/1 in the column is only related to the effects of air pollutants. Which is equal to -3/3.

The results of the research show that the project is in the fifth position, which means the project of Iran Khodro Plant is approved by the presentation of the improvement plan and corrective options. In this case the number of ranking meanings in the column and in the rows is less than -3/1, but their number does not reach 50% of the states.

Since frost hazard can affect the human life, construction activities, agriculture and energy consumption and its distribution, being aware of the time of occurrence of frost can help in managing this hazard. In the present research, for the first time, effective parameters on frost separating advection or radiation types and return periods with probability of occurrence are calculated.
Data and

In this research, using synoptic stations minimum temperatures in Ardabil province, dates of frost for the first time in the fall and last time in spring extracted and frosts were separated by their types (Radiation or Advection). Principal Component Analysis (PCA) was implemented on all meteorological variables in frosty days for each station. Time series of beginning and end of radiation and advection frosts using statistical distributions were analyzed and best fit distribution were selected and calculated in SMADA website.

The highest and lowest frequency of frost days, respectively have happened in Khalkhal and Parsabad stations. Monthly frost analysis showed that the highest and lowest frequency of frost days respectively happened in January and October. The earliest date for the beginning of radiation frosts and advection frost (Khalkhal), respectively, have happened on September 19 and October 10 and latest date for the beginning (ParsAbad) respectively, happened on November 12 and December 12.

Generally, in Ardabil province 47% of frosts started with radiation frost and 53% started with advection frost which can increase the danger of frost in late summer crops. Products must be harvested before the cold air advection (5 October, based on the results of this study). 73% of frosts were terminated with radiation frosts and 27% were terminated with advection frosts which can be concluded in the spring time. It is possible to combat the radiation frosts and there is a significant reduction in losses. Based on the analysis of probability of frost occurrence, first radiation and advection frost in Ardabil with 90% probability, respectively, will occur at 18th and 23th of October. Advection frost date average of Ardabil station with a probability of 50% is 9th of November, in Pars-Abad, 1st of December, in Khalkhal, 26th of October and on 18th of November in Meshkin Shahr station.

Increasing the volume of trade leads to lower environmental quality and in fact more CO2 emissions. In this regard, the effects of globalization and trade liberalization on the timber industry have led to economic growth. According to the subject literature following commercial liberalization, the transfer of polluting industries from countries with severe environmental policies to countries with mild environmental policies is increasing. The purpose of this study was to investigate the asylum hypothesis of wood industry pollution.

using panel data and fixed effects approach in Iran and 16 wooden trading partners, during the period 1995-2015.

In this study, panel data and software Stata were used to estimate model. The interactions of trade and per capita income have a positive coefficient of 6.50.

Our results support the pollution haven hypothesis.

 Human activities change land cover at unprecedented speeds and large spatial scales. The rapid changes in ecosystems in recent decades have been more along all the human history and have led to unprecedented changes in ecosystems and environmental performance at local, regional and global scales. This research aims to investigate the process of landscape quantitative changes in Gharesou and Mereg watersheds.
Investigation

For monitoring changes, Landsat satellite imagery of 1984 (TM), 2000 (ETM+) and 2016 (OLI-TIRS) were used. The classification was performed using Artificial Neural Network (ANN) model. Land cover was classified into seven categories. Metrics PLAND, NP (Number of Patch), PD (Patch Density), and ED (Edge Density) at the Level of Class, NP, LPI (Largest Patch Index), CONTAG (Contagion), and SHDI (Shannon's diversity index) were calculated at the level of Landscape for the study area.

The results indicate that the highest percentage of the land cover belongs to agricultural lands and then medium rangelands. The numbers of patches of agricultural land in the period of 1984-2004 has increased due to the conversion of rangelands to agricultural lands and then between years 2000-2016 have decreased due to the conversion to medium ranges with a lesser rate. The number of forest patches in the first period has decreased because of conversion to medium rangelands and increased during the second period.

The study of the landscape metrics indicates the increase in continuity, the reduction of fragmentation and diversity in the first time period, and in contrast, in the second time period, continuity has decreased and fragmentation and diversity have increased. Given the fact that the process of landscape changes varies over two different periods, it can generally be noted that the fragmentation and diversity of the landscape have declined and the spatial continuity has increased.

Considering the ever increasing state of pollution in different aspects of the environment, ornamental plants and herbs such as Lavandula have become the center of attention mostly due to their availability and use in urban green spaces. Phytoremediation is a modern and economical method which can be applied to metropolises for decreasing metal contaminations in soil, water and atmosphere. Additionally, throughout this study we tried to determine the impact of lead on morphology and phyto-chemistry properties of Lavandula as a hazardous pollutant for the health of man and other organisms.

Through this study, we examined the contamination resistance of Lavandula against lead through 3 completely randomized block design experiments. The treatments included: lead in 2 concentrations (0 and 100 mg) and DTPA in 2 concentrations (1 and 2 mM).

The results suggested that heavy metals' stress causes the decrease of morphologic properties being studied and by adding DTPA, the lead absorption decreased in Lavandula.

by adding the DTPA chelate, the absorption level of this heavy metal by Lavandula decreased significantly.

Green roof is one of the options to improve environmental problems of urban areas. Meanwhile there are some worries about the environmental impacts of creating green roofs, as despite the benefits of vegetation, some layers of green roofs like waterproof membrane, are made from polymers. In this survey, environmental impacts of an extensive green roof in its lifetime were compared with a normal roof.
In this survey, life cycle assessment method was used. Since there are various methods to implement a green roof, first different methods of implementation and different materials that can be used in its layers were studied and collected. Then some of these methods were chosen to investigate their environmental impacts in order to find the optimized option to create a green roof. On the next step, life cycle assessment of optimized option and normal roof was conducted. The open LCA software was used to compare environmental impacts of different implementing methods, and also optimized option and normal roof.
Results showed that the green roof has less environmental impacts than normal roof, during its lifetime. In addition, it was indicated that in some impact categories that the environmental impacts of green roof was more than normal roof the reason was using PVC and geotextile (glass fiber and polyester) in its layers. Results of this paper can be improved by measuring benefits of creating a green roof (such as reducing quantity and quality of run off amounts), and also using materials with less environmental impacts in green roofs layers.

World population growth and concentrating in cities cause many environmental problems in big cities. The environmental issue is the most important issue in urban management. Audit of Environmental Management has always been considered as an important challenge in urban management. Evaluating of effective urban development on environmental elements can be prevented to negative effective developing. Providing an adequate model make minimized personal judgment of evaluators and causes a more realistic assessment of present situation.

Using AHP and combine it with audit programs, can assist them in achieving this goal. In this study, using standards determine and expert opinion the environment indicators in municipal management and then AHP method is used to determine the weights of indicators and sub indicators. This study presents a model of environmental auditing which was conducted in order to perform a case study in one of region of Tehran municipality.

The results showed that the most important problems in the field of environmental management in Tehran metropolis were transportation and traffic management, sewage and solid waste management, and green space ratio which had some unfavorable conditions in some of the studied areas.

One of the most important issues in performance appraisal is the potential impact of the personal judgment of appraisers on the appraisal process. In the presented model, the weight of effective factors and parameters affecting the performance of urban management environment were determined. Based on these weights, control strategies can be defined. The presented model is able to identify the weaknesses of urban management system in environmental performance.

In this study the process of producing bio-compost from rural separated solid wastes using aerated static piles method was investigated. The combination of waste ingredients, conditions and duration of processing, analysis of key parameters governing the process, the quality of the final product as well as economic assessment of costs and revenues were the most important parameters that were considered.

After the separation of rural wastes, two compost piles, one containing 100 percent of putrescible wastes and another one containing 75% putrescible wastes and 25% of cow dung were created. To better estimating the variables related to process maturity and identifying the errors, three replications were applied. Four main variables including: moisture, pH, temperature and carbon to nitrogen ratio were measured for each of the piles. Comprehensive statistical analysis including the comparison of the variables, correlation between variables and analysis of one-way variance was performed for the measured parameters.

Total Coliform reduction in both kinds of waste compositions observed in approximately about 3log. Reduction of parasite eggs in piles containing 100% organic wastes was about 75.8% and in piles containing 75% organic wastes & 25% cow dung obtained about 95%. Heavy metals such as lead, cadmium and nickel, were not found in the piles. For finished compost the average of C/N and pH were recorded 12.35 & 8.05 respectively.

Comparing the final product by Iranian, American and Canadian standards showed that static method stabilized solid wastes in both kinds of piles and eventually was led to the production of good compost. The economic evaluation showed that the internal rate of return (IRR) for producing compost, using aerated static piles method, is equal to 12.4%.

Increase the amount, varietyandMismanagementof manufacturingwastehas been most importantsocietydifficult that are cause environmental pollutionandhealth risks.The purpose ofthisstudy was to evaluatethe current status of the quantity and qualityofwastekhomarloand exposure suitable solution in the summer of1392.

Thisstudy wascross– sectional that with surveying waste management khomarlo cityperformed in summer 1392. Samplingand Physical analysisof waste,at3months (July, August andSeptember)were done,Eachmonth,three samples were selected for separation. Due to the low amount of municipal waste generated per day (one container), the total daily waste was selected .ByBalance weighing50kg were used.Todetermine thedensityof wasteina containermarkedwith volumedepletion, andwastedensitywas calculatedby dividingweightbyvolume

According toresearchthe average per capitawasteis 2.02 kg/capita-day inthe summer. Average weight ofputresciblematerials 59.31, plastic17.91, Paper 7.14, the metal 1.97, glass 3.58, textile 3.09,timber 3.87 and other items were 3.13. Averagedensitywas 358.3,Also most percent organicmaterials and paper were in AugustandJuly,respectively.

According to the findings,59% waste is wetand41% ofthe remainingwasteis drying.that conditions to be provided for adverseen viron mental and health.Therefore,recommended public education toreduce the volumeof waste produced, with emphasis on source separation and accurate waste management

Nowadays, one of the most important strategies in the face of the increased population of cities is the design of green space in part of the urban structure. Empowerment at the urban and regional levels should meet the needs of life and respond to the needs of citizens. Agriculture has a valuable heritage in Iran and depreciating it in this rich and talented country not only threatens food security, but also endangers environmental health. Since issues such as population growth and climate change require considering the environment. The purpose of this article is to promote environmental conditions by creating an agricultural museum site and establishing a link between the man-made environment and natural environment in order to provide good conditions for education and create a good environmental culture and expand the recreational space.

The present study uses a descriptive and analytical research method. After describing the previous studies in this field as well as their function, the approaches and goals related to agricultural education in the city and its suburbs will be discussed and the proposed activities on Agricultural Museum Site will be classified into six factors and their impact on each of the mentioned approaches will be analyzed.

The findings of the research show that urban and suburban agricultural approaches, productive urban landscape, design of ecosystems and performance analysis of each one, including their educational, tourism, recreational, economic, social and cultural roles and climatic changes help promote the quality of the natural environment

The Agricultural Museum Site is a naturalistic approach and presented as an educational approach to promote the urban environment in this research. Therefore, the allocation of urban and suburban lands to productive lands, such as the Agricultural Museum Site and its proper management as part of the social spaces of cities and a place for social interactions have helped revive the green space and improve the quality of the living environment in the city.

Structurally speaking, beyond the productive and decorative functions of plants as the main elements of the garden, they have the significant role in shaping the relationship of viewer and the interior landscape of the garden.

This article under the comparative surveys will discuss the relationship of spectator and the interior sceneries of the historical gardens and the effect of plant order on the quality of visual system. The case gardens studies are: Akbariye, Amir Abad, Bahlgerd, Rahim Abad, Shahzadeh, Pahlavanpour, Dolat Abad, and Fin. Those gardens have been studied and compared based on the connection between onlooker and green appearance from the severally potential viewpoints. Furthermore, based on the separation of fruitful and ornamental greenery in Persian gardens, all of studies and comparison have been conducted in two main sections for each of the above mentioned landscape types.

 In Persian gardens, the quality of connection of visitor to the productive sceneries and pleasure landscapes is different.
The physical access of public visitors to the productive fields was managed, especially in ceremonial gardens
The contemporary conversion (managed or unwanted) of the planting system has undesirable effects on the quality and variety of connection the spectator-scenery, and will decline the genuine differentiation of the connectedness of visitor to the edible and pleasure sceneries.