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    Wyświetlanie 1-4 z 4
    Tytuł:
    Measurements of bioaerosols in the air around the facilities of waste collection and disposal
    Autorzy:
    Roodbari, A.
    Naddafi, K.
    Javid, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/207127.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    utylizacja odpadów
    aerozole
    stężenie mikroorganizmów
    bioaerozol
    bakterie
    zbieranie odpadów
    gospodarka odpadami
    zanieczyszczenie powietrza
    waste disposal
    aerosols
    bacteria
    microbial concentrations
    bioaerosol
    total bacteria
    waste collection
    waste management systems
    air contamination
    Opis:
    Exposure to bioaerosols at various stages of waste management system (collection, transfer and disposal) has been evaluated by recording of the bacterial and fungal concentrations in the air around these facilities. Regardless of the season, the total bacteria and total fungi were detected for all sampies, whereas the fungal genera were not. The bioaerosol concentrations measured in the waste collection bins were significantly higher than those of the transfer station and landfill site. The mean microbial concentrations at wastes container bins and in-operation trench exceeded the Iran outdoor bioaerosol guidelines (850 CFU/m3), thus suggesting the need for remedial action regarding microorganisms, in order to reduce the exposure at the wastes management system.
    Źródło:
    Environment Protection Engineering; 2013, 39, 4; 105-112
    0324-8828
    Pojawia się w:
    Environment Protection Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An evaluation of water quality from Mojen River, by NSFWQI index
    Autorzy:
    Javid, A.
    Yaghmaeian, K
    Abbasi, E
    Roudbari, A
    Powiązania:
    https://bibliotekanauki.pl/articles/124136.pdf
    Data publikacji:
    2014
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    NSFWQI
    Mojen River
    pollution
    water quality
    Opis:
    Water quality index (WQI) is valuable and unique rating to depict the overall water quality status in a single term that is helpful for the selection of appropriate treatment technique to meet the concerned issues. The aim of the study was to evaluating water quality from Mojen River by Water Quality Index based on National Science Foundation (NSFWQI). For this purpose, samples were collected from stations at up, middle and downstream of Mojen River in Semnan province (the biggest river in region) in a 2 years interval of 2013-2014 years. Nine parameters namely Turbidity, Biochemical Oxygen Demand, Dissolved Oxygen, Fecal Coliform, nitrate, pH, temperature, total solids and total phosphate were considered to compute the index. Our findings highlighted the deterioration of water quality in the river due to industrialization and human activities. According to NSFWQI, the best condition was recorded in the Dark haniab (Upstream) and the worst condition concerned the Pole (Midstream).
    Źródło:
    Journal of Ecological Engineering; 2014, 15, 4; 1-6
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of user’s perceptions regarding performance indicators of intercity bus terminals in Lahore, Pakistan
    Autorzy:
    Ikhlaq, S.
    Javid, M. A.
    Qayyum, T. I.
    Powiązania:
    https://bibliotekanauki.pl/articles/374139.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    intercity bus terminals
    performance indicators
    user satisfaction index
    Lahore
    przystanek komunikacji międzymiastowej
    wskaźnik efektywności
    wskaźnik zadowolenia użytkownika
    Opis:
    This study aims to evaluate the intercity bus terminals in metropolitan Lahore, Pakistan. In this regard eleven intercity bus terminals of Lahore (three government-owned & eight privately owned) were selected. Evaluation of performance indicators (PIs) for a sustainable design of intercity bus terminals was conducted with the help of different surveys. Six PIs on user perception were evaluated, i.e., safety and security, access, information, connection and reliability, environment and allied facilities. The bus terminals and PIs were also ranked according to user satisfaction. The results showed that the privately owned intercity bus terminals perform better and are more likely to be sustainable as compared with government-owned terminals. Likewise, the users indicated more satisfaction with the privately owned terminals. In addition, the users rated ‘safety and security’ as the most important among the six PIs. It is recommended to establish standards for sustainable design of intercity bus terminals using the six PIs as measures of performance.
    Źródło:
    Transport Problems; 2017, 12, 2; 123-136
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial neural network (ANN) modeling of COD reduction from landfill leachate by the ultrasonic process
    Autorzy:
    Arabameri, M.
    Javid, A.
    Roudbari, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/207474.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    COD
    neural network
    landfill leachate
    ultrasonic process
    ChZT
    sieć neuronowa
    odciek ze składowiska
    proces ultradźwiękowy
    Opis:
    In the study, the use of an artificial neural network (ANN) has been applied for the prediction of COD removal from landfill leachate by the ultrasonic process. The configuration of the backpropagation neural network giving the lowest mean square error (MSE) was a three-layer ANN with a tangent sigmoid transfer function (tansig) at a hidden layer with 14 neurons, linear transfer function (purelin) at the output layer and the Levenberg–Marquardt backpropagation training algorithm (LMA). The ANN predicted results are very close to the experimental data with the correlation coefficient (R2) of 0.992 and the MSE of 0.000331. The sensitivity analysis showed that all studied variables (contact time, pH, ultrasound frequency and power) have strong effect on COD removal. In addition, ultrasound power is the most influential parameter with relative importance of 25.8%. The results showed that modeling neural network could effectively predict COD removal from landfill leachate by ultrasonic process.
    Źródło:
    Environment Protection Engineering; 2017, 43, 1; 59-73
    0324-8828
    Pojawia się w:
    Environment Protection Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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