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      • Open Access Article

        1 - Modeling and sensitivity analysis of water quality in Meymeh reservoir using CE-QUAL-W2 Software
        nima heidarzadeh nasim Neysari tabrizi
        Background and Objective: Water quality of lakes and reservoirs is affected by many factors. Precipitation, inflow and outflow, inlet water quality and water abstraction level are the most important ones. Informing about the magnitude of the factors can help us to choos More
        Background and Objective: Water quality of lakes and reservoirs is affected by many factors. Precipitation, inflow and outflow, inlet water quality and water abstraction level are the most important ones. Informing about the magnitude of the factors can help us to choose the best abstraction level and water quality management in different periods of a year, efficiently. Method: In this study, water quality of the Meymeh reservoir, an under-construction dam, was evaluated by modeling of TDS using the 2-dimensional CE-QUAL-W2 software with available data, for a 5-year period. Findings: The modeling results show that the amount of outflow TDS in all five years has exceeded the FAO permissible level for irrigation. Also, in order to evaluate the impacts of several factors on outflow TDS and choose the suitable solution to improve the quality of water, a sensitively analysis was performed. Discussion and Counclution: The results of the sensitivity analysis showed that the quality of inflow water is the most effective factor on the outflow water quality, so that a 20% change in inflow TDS causes 18-20% change in outflow TDS and the other factors such as temperature, initial values of TDS in reservoir, wind sheltering coefficients (WSC), eddy viscosity and the diffusivity coefficient (AX, DX) do not have significant impacts.    Manuscript profile
      • Open Access Article

        2 - Modeling Water Quality of Rivers Using QUAL2Kw Model (Case Study: Shahroud River)
        Rozita Areeyaenezhad Mahdi Sarai Tabrizi Hossein Babazadeh
        Abstract Background and Objective: 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 QUAL2K More
        Abstract Background and Objective: 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. Method: 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. Findings: 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. Discussion and Conclusion: 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. Manuscript profile
      • Open Access Article

        3 - Water quality and quantity modelling in Bahmanshir River and its channels
        Navid Dolatabadi Farahani Hamid Taheri Shahraiyni Mohsen Nasseri Moslem Ghasemi
        Background and Objective: Bahmanshir River is one of the main water resources in southwest Iran. Salinity intrusion and other pollution sources have influenced the water quality in this river. In this study, quantitative and qualitative modeling of Bahmanshir River and More
        Background and Objective: Bahmanshir River is one of the main water resources in southwest Iran. Salinity intrusion and other pollution sources have influenced the water quality in this river. In this study, quantitative and qualitative modeling of Bahmanshir River and the water channels of Choebdeh shrimp culture is performed using MIKE11 software. Method: First, manning number of the river is estimated as 0.018 by integrated hydraulic modeling of the river and its water channels. Then, dispersion factor of the river is calculated as  (v: velocity) by solving Advection-Dispersion equation. Modeling of water quality parameters, such as dissolved oxygen, nitrate, ammonia, BOD and temperature, is performed using ECOLAB module in the MIKE11 software. The major parameters in the water quality model are determined using sensitivity analysis. These parameters were calibrated and the calibrated model is verified. Findings: The results showed that the water channels behave as complete mix systems. Conversion coefficients of water quality parameters are calculated, and then the average values of salinity, dissolved oxygen, ammonia and nitrate in the channels are calculated as 27000, 3, 3 and 5 ppm, respectively. In addition, these parameters in the river are about 5300, 2.2, 1.2 and 11 ppm, respectively. The correlation coefficient of developed hydraulic model in verification step is 0.95 and the percent of absolute error of verified salinity, dissolved oxygen, temperature, ammonia and nitrate models are 7.9, 12, 1.2, 0.79 and 0.34, respectively. Conclusion: The results demonstrated the capability of MIKE11 for water quality and quantity modeling in tidal rivers. Manuscript profile
      • Open Access Article

        4 - A Comparative Study of Open-Source Software for Deployment and Management of Cloud Computing Utilizing a Big Data Processing Quality Model
        Mahdi Jafari Amir Kalbasi
        Introduction: The volume of data produced by human society is growing rapidly. Data is being produced in many different industries such as manufacturing, transportation, healthcare, and social networks. Due to the volume of data being produced, data storage and processi More
        Introduction: The volume of data produced by human society is growing rapidly. Data is being produced in many different industries such as manufacturing, transportation, healthcare, and social networks. Due to the volume of data being produced, data storage and processing are among the most important issues when dealing with big data. The main challenges when dealing with big data are data storage and management, data processing and analytics, and resource management to provide the infrastructure needed to support the first two mentioned challenges.  Cloud computing, due to its features and architecture, is a promising infrastructure to store and process big data. Different cloud computing deployment models exist, namely, public cloud, private cloud, community cloud, and hybrid cloud. To store and process big data in a cloud environment, individuals and organizations may be more inclined to deploy and manage private clouds to gain greater control and access to resources and their data. Numerous open-source software has been developed for the deployment and management of private clouds. Evaluating and choosing among them is a challenging task, especially for those who are new to these large-scale software systems. Furthermore, due to the continuous delivery of new releases with major changes or new features and modules for each of the cloud infrastructure management software, choosing among them could be a challenge even for an experienced user.Method: In this paper, first of all, we provide the Quality Model for Cloud Infrastructure (QMCI) for evaluation of cloud infrastructure management software. QMCI focuses on quality factors that are important when processing big data. The top-level factors of this model are 1- Functionality 2- Usability 3- Reliability 4- Supportability 5- Performance. The top-level factors are then divided into sub-factors to further refine the quality model. Metrics can be considered for the sub-factors to evaluate a cloud infrastructure management software.Discussion: Based on QMCI, multiple-criteria decision-making can be utilized to choose between cloud infrastructure management software that best suits a given set of criteria. In the remaining of this paper, three of the most popular open-source cloud infrastructure management software, namely, Eucalyptus, OpenStack, and Apache Cloud Stack are evaluated based on QMCI to compare their capabilities, weaknesses, and strengths from big data processing perspective. Previous literatures that considered the selected three cloud infrastructure management software were studies and utilized to perform the comparative study. Manuscript profile
      • Open Access Article

        5 - Developing a qualitative model of human capital excellence in Iran's Education and Training
        kazhal shahriari Yahya Dadash Karimi Kave teimoornejad Dariush gholamzad
        Human capital is considered the main asset and capital for the educational institution, the actions of the managers are in the construction of a transformational view and it is considered as the most fundamental indicator and component in the macro analysis of education More
        Human capital is considered the main asset and capital for the educational institution, the actions of the managers are in the construction of a transformational view and it is considered as the most fundamental indicator and component in the macro analysis of education. The purpose of this research is to develop a qualitative model of human capital excellence in Iranian Education and Training. The present research is exploratory and fundamental in nature and purposeful in terms of sampling method. The data collection tool was a semi-structured interview, which reached theoretical saturation by conducting 1110 interviews. The data were analyzed using Glazier coding method and software (MAXQDA11). The findings showed that the human capital excellence model in Iran's education based on has 5 main categories and 31 sub-components, which in total constitute the effective components of the human capital excellence components of education and training. The qualitative model resulting from this research, taking into account causal factors such as the results, shows that is content goals (knowledge-cognitive), individual goals (psychological), metacognitive goals, and social goals and organizational structural goals. In the qualitative model of the excellence of human capital of Iran's education and training. Manuscript profile
      • Open Access Article

        6 - Investigation of changes in physical and chemical parameters of water wells in south Ray villages by using GIS
        faezeh farajolahi Amir Hessam Hassani Ali Torabian
        Surely, knowledge of the status of drinking water quality along with its changes in different seasons (wet and drought) as well as trends from one source to another can be used to optimize providing the proper conduct of the areas of drinking water on the one hand and t More
        Surely, knowledge of the status of drinking water quality along with its changes in different seasons (wet and drought) as well as trends from one source to another can be used to optimize providing the proper conduct of the areas of drinking water on the one hand and the prevention of the unsafe and unsanitary resources on the other hand, along with planning for engineering projects to reduce the pollutant load implied to the water sources (collection and disposal and wastewater treatment plant) and sanitary limits & qualitative privacy legal far groundwater is important. Although source identification of pollutions and investigating of feasibility to determine quality limits and pollution concentration reduction strategies without understanding its possible standard deviations (who -1053) is not possible and the associated high costs and sometimes waste time, money and even non-transactional tasks in industrial aspects. Considering the limitations of water supply (quantity and quality) due to recurrent drought in recent years requires the efficient and proper management of water resources in a comprehensive map of the area were provided quality in GIS geographic system that can provide a solid base for decision-making on sustainable development based on quality and quantity of water supply and environmental principles. Therefore, with respect to the total pollution affecting groundwater resources of the Ray area, such as domestic sewage and industrial wastewater and conditions of recreational of the region, particularly the location of some small areas of water wells in the establishment of some wells of Rivers or in areas of lower topography and effectiveness of contaminant transport in the direction of the gradient Hydraulic and surface water caused the measuring and monitoring of chemical and physical parameters of resources and quality map as a must be manifested. Investigations on obtained results showed that the physico-chemical qualityof underground water in this region from east north toward west south accompanying with increasing the amounts of Cations and Anions as a results of coming up the bed rock, decreasing the height of water column and geologic range of wells of this region. Meanwhile the amounts of Nitrate concentration in wells of west north range caused by increasing human factors which was near to permitted level of standard. Manuscript profile
      • Open Access Article

        7 - Performance Evaluation of educational organization in east Azerbaijan using European foundation quality model (EFQM) in 2007
        Sadegh Maleki Alireza Ranjbari
        The general objective of this paper is to evaluate the performance of education organization in east Azarbijan using EFQM. In this regard, the descriptive – survey method was used. The research population was people76. The sample size using  Cochrans formula& More
        The general objective of this paper is to evaluate the performance of education organization in east Azarbijan using EFQM. In this regard, the descriptive – survey method was used. The research population was people76. The sample size using  Cochrans formula  was 38 people.An advanced questionnaire was used to measure the variables including nine criteria and thirty-two sub- criteria. Each sub criteria included guide points and evidences which have been regulated according to specifications related education. The total sub criteria questions according to RADAR logic added up to 264. After carring on two days justifying course for employees, these questions were given to them. The performance of education organization was carried out through the sef –evaluation method by the employees of the organization.the validity of the questionnaire was determined by experts. The Cronbach's Alpha was used to calculate the reliability, which was 0.96. In this study nine questions were posed, the scores of performance obtained were 486 out of 1000 based on (EFQM). The percentage of nine sub- sores were: 47% leadership, 44% policy and strategy, 47% staff, 46% recourses  and participation, 44% processes, 54% results of the client, 45% results of the staff, 51% results of the society and 47% the key results of performance.  Manuscript profile
      • Open Access Article

        8 - Modeling And Dynamic Analysis of Factors Affecting Data Quality of University Portal with an Integrated Approach of System Dynamics and Quality Function (Case Study: Amirkabir University of Technology)
        Maedeh Alizadeh Mohammad Reza Motadel Navid Nezafati
        The purpose of this paper is to provide data quality model of a university portal with an integrated approach of system dynamics and quality function deployment. The present study is applied in terms of descriptive – survey method research. Following paper aims to More
        The purpose of this paper is to provide data quality model of a university portal with an integrated approach of system dynamics and quality function deployment. The present study is applied in terms of descriptive – survey method research. Following paper aims to provide a model and identify the concept and its dimensions for an academic portal and through using library study methods as well as field methods such as questionnaires, content analysis methods and Fuzzy Delphi method simultaneously, collect the voices of different users regarding data quality and finally, with the formation of four quality house matrices, it led to design requirements. Based on Quality Deployment Function analysis, found out that Extensible Markup Language (XML) could be more proper programming language to achieve flexibility as one of the most important engineering characteristics to fulfill user’s requirements. The important ambiguous issue in this context was how the internal communication between the requirements was; As a result of simulating these relationships, it was found that the way of communication overshadows the whole results. At the time of planning in the field of data quality and presenting a model in this regard, it should be considered that the factors may have conflicting relationships and unilaterally addressing a requirement or characteristic without considering its relationship with other cases could have the opposite result and efforts related to it will be fruitless. Manuscript profile