Nitrogen modeling and performance of Multi-Soil-Layering (MSL) bioreactor treating domestic wastewater in rural community

Sbahi, Sofyan; Ouazzani, Naaila; Hejjaj, Abdessamed; Mandi, Laila

doi:10.1016/j.jwpe.2021.102389

Cited by 13 publications

(9 citation statements)

References 56 publications

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“…The better pollutant removal efficiencies could be obtained along with a more effective connection between the porous media and sewage [26]. The relatively large top areas for the SMBs served to better intensify the sewage distribution and its contact with materials in the MSL systems [19,27].…”

Section: Icm-based Msl Systemsmentioning

confidence: 99%

“…In the stable operation phase of MSL2 and MSL4, during day 60 to 80, their average COD removal reached up to 94.2 and 96.0%, respectively, while the initial removal efficiencies of COD were at 88.8 and 90.8%. The novel MSL systems, especially the upper SMBs and PLs, as porous media, had sufficient minute pores and adsorption spaces for trapping organics and microorganisms [11,26]. Though there were slight fluctuations of the COD removal in MSL1 and MSL3 during initial and final experimental period, the COD removal maintained the increasing trends with average efficiencies of 80.9 and 83.1% during day 0 to 30, respectively, as well as 86.1 and 86.0% during day 60 to 80.…”

Section: Cod Removalmentioning

confidence: 99%

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Enhanced Treatment of Decentralized Domestic Sewage Using Gravity-Flow Multi-Soil-Layering Systems Coupled with Iron-Carbon Microelectrolysis

et al. 2022

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Soil-based decentralized treatment technology has become increasingly popular as an ideal solution for water pollution control in rural areas. It is very necessary to optimize the removal mechanisms and performance of such technologies on rural domestic sewage treatment. This was the first study of a gravity-flow multi-soil-layering (MSL) system coupled with iron-carbon microelectrolysis (ICM). Influent COD/TN (C/N) ratio and bottommost soil mixture block (SMB) submersion were selected as the operating factors relevant to the ICM in MSL systems. Such two key factors were investigated in the factorial experiment. The removal efficiencies of COD, TP, NH3-N, NO3−-N, and TN could be reached up to 96.3, 100, 95.4, 93.8, and 79.6%, respectively. Different levels of factors could comprehensively drive the performance variation. The factorial analysis indicated that the bottommost SMB submersion had the most significant and dominant negative effects on aerobic processes. The ideal TP removal attributed to the presence of the bottommost SMB submersion. It played the dominant role for the bottommost SMB submersion in facilitating an electrochemical reaction through the ICM. Zero-valent iron or ferrous ions could be transformed to final ferric ions more efficiently during the period of the ICM reactions. The ICM could promote the capability of a SMB for removing nutrients in sewage, especially provide electron donors to denitrifying bacteria in MSL systems. However, there were non-significant effects of the influent C/N ratio on the removal performance of MSL systems. This study can help enrich the pollutant removal mechanisms in MSL systems.

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Section: Icm-based Msl Systemsmentioning

confidence: 99%

Section: Cod Removalmentioning

confidence: 99%

Enhanced Treatment of Decentralized Domestic Sewage Using Gravity-Flow Multi-Soil-Layering Systems Coupled with Iron-Carbon Microelectrolysis

et al. 2022

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“…The liquid waste treatment process in the Multi Soil Layering system consists of decomposition, fixation, nitrification, denitrification, adsorption and absorption [38]. The aerobic and anaerobic conditions in the MSL system should be regulated in such a way that all pollutants can be decomposed efficiently [39].…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of the multi-soil-layering system in reducing pollutant parameters of crumb rubber industrial wastewater

Primandari,

Mulianti,

Sushanti

et al. 2023

Teknomekanik

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Multi-soil-layering (MSL) is well-known as an emerging technology for wastewater treatment. However, limited studies have been conducted on the crumb rubber industry. Thus, this study aims to reduce the crumb rubber industrial wastewater using MSL system. Four models of MSL conducted it. They are (1) constructed by body size of gravel with a mixture of andosol soil and fine charcoal; (2) body size of gravel with a mixture of andosol soil, fine charcoal, sawdust, and iron particles; (3) tube size of gravel with a mixture of andosol soil and fine charcoal; and (4) tube size of gravel with a mixture of andosol soil, fine charcoal and sawdust. The construction models were installed in the variance of the box and each of them was flowed by the Hydraulic Loading Rate of wastewater. Aeration treatment is given to the maximum hydraulic loading rate. The result showed that MSL systems significantly minimize the crumb rubber industrial wastewater under requirements that cover Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solid (TSS), Total Nitrogen (T-N) and Total ammonia (T-NH3). It also significantly neutralizes the power of Hydrogen (pH) up to 6. The highest reduction was obtained by the MSL 3 system (tube size of gravel with a mixture of andosol soil and fine charcoal). The aeration significantly decreased the BOD, COD, TSS, and ammonia from 85% to 99%. Although the aeration process enhanced the performance of MSL system, however, MSL without aeration successfully treated the wastewater to meet the required standard. This study provides new insight into the effectiveness of MSL system in reducing pollutant parameters of crum rubber industrial wastewater.

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“…Therefore, this research aims to investigate P removal in the MSL system in a semi-arid environment and to accurately predict this removal. In the same context, the number of data-driven models employed to simulate MSL performance is limited to stepwise-cluster analysis (SCA) and neural network (NN) methods [13][14][15][16][17]. Thus, this study is the rst application of random forest (RF) and k-nearest neighbor (KNN) to predict MSL removal e ciency, especially for P removal.…”

Section: Introductionmentioning

confidence: 99%

“…In the same regard, it has been suggested that physic-chemical mechanisms, rather than microbiological activities, are key in the MSL system's P removal [9]. In addition, the optimization of MSL performance is related to several factors such as, pH, adequate aeration, low hydraulic loading rate (HLR), number of layers, and large surface area of soil mixture blocks [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Total phosphorus removal in multi-soil-layering nature-based technology: Evaluation of influencing factors and prediction using data-driven methods

Sbahi

Mandi

Ouazzani

et al. 2022

Preprint

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Excess phosphorus (P) in wastewater can produce eutrophication, posing a serious risk to the safety of water resources and ecosystems. Therefore, effective pollutant removal including P from wastewater is the key strategy to save the environment and public health. Multi-soil-layering (MSL) is a promising nature-based technology that mainly relies on a soil mixture containing iron to remove P-pollution from wastewater. In the MSL influent, fourteen water quality indicators were measured, including pH, dissolved oxygen, total suspended solids, electrical conductivity, organic matter, nutrients, and coliform bacteria, to determine which ones have the strongest relationship with total phosphorus (TP) removal. The influence of hydraulic loading rate (HLR) and climatic variables (air temperature, rainfall, and evaporation) on the removal of TP was investigated. Four data-driven methods including multiple linear regression (MLR), k-nearest neighbors (KNN), random forest (RF), and neural network (NN) were conducted to predict TP removal at the MSL system outlet. In contrast to climatic variables, the results reveal that the HLR has a significant impact (p < 0.05) on TP removal (47% − 90%) in the MSL system. Furthermore, using a feature selection technique, the HLR, pH, PO43− and TP were suggested as the relevant input variables affecting TP removal in the MSL system, while an examination of accuracy shows that the RF model achieves good prediction accuracy (R2 = 0.93) and can help to understand MSL behavior for pollutants.

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Nitrogen modeling and performance of Multi-Soil-Layering (MSL) bioreactor treating domestic wastewater in rural community

Cited by 13 publications

References 56 publications

Enhanced Treatment of Decentralized Domestic Sewage Using Gravity-Flow Multi-Soil-Layering Systems Coupled with Iron-Carbon Microelectrolysis

Enhanced Treatment of Decentralized Domestic Sewage Using Gravity-Flow Multi-Soil-Layering Systems Coupled with Iron-Carbon Microelectrolysis

The effectiveness of the multi-soil-layering system in reducing pollutant parameters of crumb rubber industrial wastewater

Total phosphorus removal in multi-soil-layering nature-based technology: Evaluation of influencing factors and prediction using data-driven methods

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