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Wyświetlanie 1-3 z 3
Tytuł:
Struvite precipitation from the liquid fraction of the digestate of a municipal waste biogas plant
Autorzy:
Urbanowska, Agnieszka
Polowczyk, Izabela
Kabsch-Korbutowicz, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/2032841.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
struwit
odpad komunalny
odciek
poferment
struvite
municipal waste
leachate
digestate
Opis:
Currently, municipal waste biogas plant digestate is treated both as an alternative fertilizer and as a potential source of water. In practice, before advanced purification technologies, the liquid fraction of the digestate is subjected to pretreatment, aiming also at recovering the dissolved nutrients and making them into a concentrated fertilizer, e.g., by struvite precipitation. In this study, the possibility of struvite (MgNH4PO4 center dot 6H2O) precipitation from the liquid fraction of municipal digestate was determined. In the experiments, MgCl2 and NaH2PO4 were added to the treated solution as a complementary source of magnesium and phosphorus. Their doses were chosen to achieve the most favorable conditions for controlling struvite precipitation. The results obtained confirmed the possibility of struvite precipitation from the liquid fraction of municipal digestate. The process realized for pH 9.0, temperature 20-23 degrees C, molar ratio N:Mg:P = 5.13:1:1 and 1:1.1:1.1, reaction time 5 min with a stirring rate of 160 rpm, provides a high efficiency of struvite precipitation from the liquid fraction of digestate. From the viewpoint of process economics (less amount of reactants added with similar process efficiency), a molar ratio of N:Mg:P = 1:1.1:1.1 was found to be optimal for the reaction of precipitation.
Źródło:
Environment Protection Engineering; 2021, 47, 4; 85-99
0324-8828
Pojawia się w:
Environment Protection Engineering
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
Tytuł:
Investigations on the effectiveness of wastewater purification in medium sand with assisting clinoptilolite layer
Autorzy:
Kalenik, Marek
Chalecki, Marek
Powiązania:
https://bibliotekanauki.pl/articles/208175.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
hydraulic conductivity
septic tank
infiltration
ammonia
phosphorus
adsorption
landfill
przewodność hydrauliczna
szambo
infiltracja
amoniak
fosfor
adsorpcja
odciek
Opis:
Model investigations of wastewater purification were carried out in a medium sand bed with an assisting natural clinoptilolite layer 0.10 or 0.25 m thick. The effectiveness of wastewater purification related to basic qualitative parameters was in accordance with the Polish standards on sewage disposal into grounds and surface water. Medium sand soil bed with the assisting natural clinoptilolite layer 0.25 m thick showed on average the removal efficiency regarding TSS higher by 3.3%, total nitrogen by 29.3%, total phosphorus by 25.9%, reduction efficiency regarding BOD5 by 1.1% and COD by 15.9% than that with the thinner clinoptilolite layer. The investigations confirmed that natural clinoptilolite with the granulation 1-5 mm can be used to enhance the removal of nitrogen and phosphorus compounds from wastewater with the application of infiltration drainage. However, very good effect of the TSS removal from the wastewater in the investigated soil beds can lead to their fast clogging under the infiltration drainage. Septic tanks should be designed in such a way that they retain as much TSS as possible, e.g., multi-chamber tanks instead of one-chamber ones.
Źródło:
Environment Protection Engineering; 2019, 45, 2; 117-126
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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