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    Contribution of the Middle Eastern dust source areas to PM10 levels in urban receptors: Case study of Tehran, Iran

    , Article Atmospheric Environment ; Volume 75 , 2013 , Pages 287-295 ; 13522310 (ISSN) Givehchi, R ; Arhami, M ; Tajrishy, M ; Sharif University of Technology
    2013
    Abstract
    The origins and evolution of the Middle Eastern dust storms which frequently impact the residents of this arid region were studied. A methodology was adapted and developed to identify the desert regions of potential dust sources and determine their contributions to PM10 concentrations in the highly-populated receptor city of Tehran, Iran. Initially, the episodes of regional dust intrusion and the resulting amounts of increase in the particulate concentrations during these episodes were determined using a statistical analyzing methodology. The dust episodes were also inspected with the aerosol index information from the Ozone Monitoring Instrument (OMI). The Hybrid Single-Particle Lagrangian... 

    Characterization of ionic composition of TSP and PM10 during the Middle Eastern Dust (MED) storms in Ahvaz, Iran

    , Article Environmental Monitoring and Assessment ; Volume 184, Issue 11 , November , 2012 , Pages 6683-6692 ; 01676369 (ISSN) Shahsavani, A ; Naddafi, K ; Jaafarzadeh Haghighifard, N ; Mesdaghinia, A ; Yunesian, M ; Nabizadeh, R ; Arhami, M ; Yarahmadi, M ; Sowlat, M. H ; Ghani, M ; Jonidi Jafari, A ; Alimohamadi, M ; Motevalian, S. A ; Soleimani, Z ; Sharif University of Technology
    2012
    Abstract
    Because of the recent frequent observations of major dust storms in southwestern cities in Iran such as Ahvaz, and the importance of the ionic composition of particulate matters regarding their health effects, source apportionment, etc., the present work was conducted aiming at characterizing the ionic composition of total suspended particles (TSP) and particles on the order of ∼10 μm or less (PM10) during dust storms in Ahvaz in April-September 2010. TSP and PM10 samples were collected and their ionic compositions were determined using an ion chromatography. Mean concentrations of TSP and PM10 were 1,481.5 and 1,072.9 μg/m 3, respectively. Particle concentrations during the Middle Eastern... 

    Suppressing sidelobe levels in random phase modulated radar

    , Article IEEE National Radar Conference - Proceedings, 23 May 2011 through 27 May 2011 ; May , 2011 , Pages 530-532 ; 10975659 (ISSN) ; 9781424489022 (ISBN) Haghshenas, H ; Nayebi, M. M ; Sharif University of Technology
    2011
    Abstract
    Signal processing in noise radar is always done by calculating the cross-correlation between transmitted and received signals. Strong echoes of near targets present relatively high sidelobes in the correlation output, so they can conceal weak echoes of weak targets (masking effect). Many classical and modern methods for alleviating this effect have been offered, however, most of them are based on signal processing in the receiver side. In this paper, a new method of waveform design, able to decrease masking effect, is presented. Contrary to the other methods, this method keeps the matched filter structure in receiver unchanged and does not need performing any extra process in the receiver... 

    Parameter identifiability improvement in multi-frequency array radar

    , Article IEEE National Radar Conference - Proceedings, 23 May 2011 through 27 May 2011 ; May , 2011 , Pages 323-328 ; 10975659 (ISSN) ; 9781424489022 (ISBN) Sebt, M. A ; Nayebi, M. M ; Amindavar, H. R ; Sharif University of Technology
    2011
    Abstract
    Since space diversity and frequency diversity are both efficient techniques in the radar applications, we propose in this paper a method for simultaneous usage of both techniques. On this basis, a multi-frequency array radar in which all frequencies are used simultaneously to increase the number of targets that can be uniquely identified, is introduced and analyzed. First, the signal model for such a system is derived and then, it is shown how the use of multi-frequency signal can noticeably improve the parameter identifiability. Specifically, we show the maximum number of targets that can be uniquely identified by the multi-frequency array radar is L times that of its single-frequency array... 

    Elemental Concentration of the Air of City of Karaj Using INAA and AAS and Comparing of the Results with Simulation Data of Aermod

    , M.Sc. Thesis Sharif University of Technology Mardashti, Forough (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    City of Karaj with 2 million population used to enjoy very clean and accommodating air and environment . This congenial condition was due to agricultural and gardening activities of the local population . This way of life has undergone a profound change due to a change in the economic activities of the local population from farming and agriculture to industrial activities . And this has brought particulate matter wich has been exacerbated in the recent years . With the additional onslaught of the dust storms coming from the neighboring countries due to drying up of rivers and lagoons .The main object of this work was to obtain the spectrum of the PM and the additional component of PM that... 

    Design and Simulation of Dust Control System in the Air with the FPGA

    , M.Sc. Thesis Sharif University of Technology Ghafouri, Rasool (Author) ; Vosoughi Vahdat, Bijan (Supervisor) ; Hashemi, Matin (Co-Advisor)

    Design and Implementation of Electrical Dust Control System Using DSP Processors

    , M.Sc. Thesis Sharif University of Technology Sheikhzade Tak Abi, Mahdi (Author) ; Vosoughi Vahdat, Bijan (Supervisor) ; Hashemi, Matin (Co-Advisor)

    Newly desertified regions in Iraq and its surrounding areas: Significant novel sources of global dust particles

    , Article Journal of Arid Environments ; Volume 116 , May , 2015 , Pages 1-10 ; 01401963 (ISSN) Moridnejad, A ; Karimi, N ; Ariya, P. A ; Sharif University of Technology
    Academic Press  2015
    Abstract
    Using the newly developed Middle East Dust Index (MEDI) applied to MODIS satellite data, we consider a relationship between the recent desertified regions, over the past three decades, and the dust source points identified during the period of 2001-2012. Results indicate that major source points are located in Iraq and Syria, and by implementing the spectral mixture analysis on the Landsat TM images (1984 and 2012), a novel desertification map was extracted. Results of this study indicate for the first time that c.a., 39% of all detected source points are located in this newly anthropogenically desertified area. Using extracted indices for Deep Blue algorithm, dust sources were classified... 

    Numerical analysis of coherent structures in bidirectional swirl combustion chamber

    , Article Computational Thermal Sciences ; Volume 8, Issue 3 , 2016 , Pages 265-289 ; 19402503 (ISSN) Aghakashi, V ; Keshavarz, P. M ; Saidi, M. H ; Sharif University of Technology
    Begell House Inc 
    Abstract
    Analysis and identification of vortex structures and their formation, particularly in swirl flows, have received widespread interest among researchers in the field of fluid mechanics. Due to the importance of vortex structures and their applications in combustion chambers, a special type of combustion chamber, which is called a “bidirectional swirl combustor,” has been investigated in this work. The dependence of vortex structures on the combustion chamber geometry and fuel injection location in cold flow, the effect of hot flow on coherent structures, and the difference between vortex structures in hot and cold flows have been studied as well. A common characteristic which is in combustion... 

    Satellite and ground-based assessment of middle east meteorological parameters impact on dust activities in western iran

    , Article Scientia Iranica ; Volume 23, Issue 6 , 2016 , Pages 2478-2493 ; 10263098 (ISSN) Kermanshah, A ; Sotoudeheian, S ; Tajrishy, M ; Sharif University of Technology
    Sharif University of Technology  2016
    Abstract
    In this article, the relation between meteorological parameters and dust activities in western Iran has been studied. Satellite-based data achieved from TOMS are used to investigate the dust activities within a time period of 30 years. In the first part of this study, we examine the statistical trend of Aerosol Index (AI) and local meteorological parameters in 15 different stations. The same patterns of AI variations in all stations indicate that this region has always been subjected to dust storms which originate from similar sources in the neighboring countries that could be known as a sole dust transfer system. In the second part, we investigate the spatial correlation between the... 

    Using FPGA as Accelerator for Processing Units in Big Data Stream Processing Engine

    , M.Sc. Thesis Sharif University of Technology Darjani, Armin (Author) ; Goudarzi, Maziar (Supervisor)
    Abstract
    Distributed stream processing frameworks (DSPFs) are used for real-time processing of big data. Apache Storm is one of the most popular stream processing systems in industry today. By increasing data generation rate we need new methods to overcome processing requirements of DSPFs like Apache Storm. In this thesis we investigate the feasibility of incorporation FPGA acceleration into Apache Storm. Using FPGAs as co-processors in powerful servers can improve performance and accelerate processing of streaming data by increasing parallelism, decreasing processing time of each processing units and decreasing communication delay between these units. Our design includes a hardware part that... 

    Accelerating Big Data Stream Processing by FPGA-implementation of Parts of the Topology Graph

    , M.Sc. Thesis Sharif University of Technology Kavand, Nima (Author) ; Goudarzi, Maziar (Supervisor)
    Abstract
    In recent years, big data processing plays an important role in the era of information technology. The exponential growth of big data volume increases the need for data centers and infrastructures with more processing power. Due to dark silicon and scalability limitations in deep-submicron, the increasing trend of server performance slows down. Therefore, hardware accelerators such as FPGA and GPU are become increasingly popular for improvement of data center processing power. There are two types of big data processing based on the application: stream processing and batch processing. With the widespread use of social networks, online control systems and internet of things services, the... 

    Design and Implementation of an Offline Scheduling and Resource Allocating Algorithm for Distributed Big Data Stream Processing Systems

    , M.Sc. Thesis Sharif University of Technology Divband, Arman (Author) ; Goudarzi, Maziar (Supervisor)
    Abstract
    One of the most important categories of big data processing is stream processing. In stream processing, processing of data is performed simultaneously with the production of data. one of the most well-known frameworks used for stream processing is Apache Storm. By default, Storm uses a round-robin scheduler to allocate tasks to physical machines. This scheduler randomly performs scheduling and assignment of tasks to physical machines without considering the processing power of physical machines and processing tasks, which makes it impossible to properly utilize the processing resources. In this paper, a scheduling algorithm and resource allocation have been proposed based on the processing... 

    Evaluation of permeable pavement responses to urban surface runoff

    , Article Journal of Environmental Management ; Volume 187 , 2017 , Pages 43-53 ; 03014797 (ISSN) Kamali, M ; Delkash, M ; Tajrishy, M ; Sharif University of Technology
    Academic Press  2017
    Abstract
    The construction of permeable pavement (PP) in sidewalks of urban areas is an alternative low impact development (LID) to control stormwater runoff volume and consequently decrease the discharge of pollutants in receiving water bodies. In this paper, some laboratory experiments were performed to evaluate the efficiency of a PP subjected to sediment loadings during its life span. Simple infiltration models were validated by the laboratory experiments to evaluate the trend and extend of PP infiltration capacity throughout the life of the pavement operation. In addition, performances of the PP in removing total suspended solids (TSS) and selective nutrient pollutants such as NO3 −, NH4 + and... 

    Modeling and Specification of Regional PM10 Origins in the Metropolises of Iran

    , M.Sc. Thesis Sharif University of Technology Salim, Reza (Author) ; Arhami, Mohammad (Supervisor)
    Abstract
    Since Iran is a part of Afro-Asian belt of deserts, 21 percent of its area belongs to desert lands. By the increasing number of dust storms in western adjacent countries dust particle concentration’s value has been critical. PM10 modeling and finding out dust origins can extremely help to manage methods by decision-makers to control dust from the origin. HYSPLIT modeling tool is benefited to get to this aim. In this study metropolises which hardly confront air pollution according to EPA statement were selected. HYSPLIT was calibrated and validated by comparing the results with measurement stations. According to the point that that particles were transported from western parts of Iran,... 

    Study of DREAM model Operation for Predicting the Occurrence of Dust Storm in Iran

    , M.Sc. Thesis Sharif University of Technology Ahmadi, Masoud (Author) ; Afshin, Hossein (Supervisor) ; Firoozabadi, Bahar (Supervisor)
    Abstract
    In this study, DREAM model operation as a model to predict the occurrence of dust storms has been completed. The aim of this study is to identify capability of the model to predict dust storms in IRAN. The model has been run for June 2014 because on 2 June 2014, Tehran visited a dust storm with a speed of 111 kilometers per hour and yielded a huge economic losse. In this model, dust concentration,dust load and Aerosol Optical Depth(AOD) are calculated on an hourly basis. The model results do not captured the direct relationship between the average wind speed and dust Parameters and the model do not predict the dust storm on on 2 June 2014 in Tehran. The reason is that DREAM gets... 

    Efficient Implementation of Classification of Air-Polluting Cars in Apache Storm

    , M.Sc. Thesis Sharif University of Technology Ghasemi, Reza (Author) ; Goudarzi, Maziar (Supervisor)
    Abstract
    Today, due to the increasing use of fossil fuel-powered vehicles, attention has been paid to advanced societies by the amount of pollutants emitted by these vehicles and the need to control and reduce them. As the number of cars increases, the volume of data for processing increases, which increases the need for data centers and processing infrastructure with more computing power. Therefore, in this research, we intend to implement a program that continuously categorizes cars according to specific criteria in terms of emission levels. For this purpose we used Apache Storm, a data stream processing framework, to implement the program.In this research, we develop a simulation for cars with the... 

    Investigation of the Suspended Particulate Matter of the Air of the City of Ahvaz In Normal and Dust storm Conditions by INAA and AAS

    , M.Sc. Thesis Sharif University of Technology Khani Veldani, Rahman (Author) ; Sohrabpour, Mostafa (Supervisor)
    Abstract
    Ahwaz is typical of a polluted city. It ranks in the third place after Tehran and Esfahan and with the onslaught Of the dust storms it has acquired the dubious distinction of 1st polluted city in the world. The pollution status of this city was investigated from May 2012 to May 2013. 110 air filters were collected during this period. The air filters were analysed with AAS and INAA techniques. with the use of AAS we measured the concentration of Cd, Cu, Fe, Mg, Mn, Ni and Pb elements. For the use of INAA method on the air filters we used two reactors of MNSR at Esfahan and the 5MW research reactor of Tehran. We managed to measure twenty five elements of Al , As , Br , Ca , Ce , Cl , Co , Cr ,... 

    Developing an Efficient Framework for Investigating the Abilities of Network Reconfiguration in Improving Operational Resilience of Distribution System

    , M.Sc. Thesis Sharif University of Technology Arjomandinezhad, Ali (Author) ; Fotuhi-Firuzabad, Mahmud (Supervisor)
    Abstract
    Necessity of uninterruptable electricity supply is one of the most fundamental needs nowadays. To achieve this, power system are designed and operated based on adequacy and security metrics which are based on reliability. Despite efficient influence of these metrics in normal condition, they do not have appropriate function while facing natural weather disasters. Since these events are low probability, these event do not affect adequacy metrics incredibly. Additionally, reliability metrics are compute base on intrinsic failure rate of component while each weather disaster causes specific failure rate. Furthermore, number of failures in such events is too many to be handled by N-1 operation... 

    Site Selection of Detention Basins to Control Urban Flooding

    , M.Sc. Thesis Sharif University of Technology Ahmadisharaf, Ebrahim (Author) ; Tajrishy, Masoud (Supervisor)
    Abstract
    Detention basins have been used as one of the Best Management Practices (BMPs) for urban flood control during the last decades. In this study, rainfall-runoff modeling in Darakeh Catchment of Tehran for return periods of 50 and 100 years has been performed using Storm Water Management Model (SWMM). This modeling aims to evaluate the present drainage network in dealing with floods and to identify critical sections. Analytic Hierarchy Process (AHP) was used as analytical framework for siting detention basins considering hydrologic, hydraulics, physiographic and economic factors. First, weights for Criteria have been specified and then, site selection of detention basins has been performed....