Reduction of Pollutant Parameters in Textile Dyeing Wastewater by Gambier (Uncaria gambir Roxb) Using the Multi Soil Layering (MSL) Bioreactor

Sy, Salmariza; Sofyan, Sofyan; Ardinal,; Kasman, Monik

doi:10.1088/1757-899x/546/2/022032

Cited by 12 publications

(3 citation statements)

References 13 publications

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“…Theoretically, it is suitable to be applied on crumb rubber industrial wastewater treatment. However, there is a limited study on crumb rubber industrial wastewater [49]. Therefore, this study aims to determine the effectiveness of the MSL system on crumb rubber industrial wastewater treatment.…”

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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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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“…The MSL system has shown good performance in the reduction of organic matter, nutrients, and pathogens from wastewater [68,70]. In previous studies, the MSL system has been successfully used for the treatment of domestic wastewater [71], polluted river water [72], livestock wastewater [73], dairy effluent [74], leachate [75,76], and olive mill wastewater [77].…”

Section: Introductionmentioning

confidence: 99%

First Report on Cyanotoxin (MC-LR) Removal from Surface Water by Multi-Soil-Layering (MSL) Eco-Technology: Preliminary Results

Prisca

Mugani

Hejjaj

et al. 2021

Water

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Cyanobacteria blooms occur frequently in freshwaters around the world. Some can produce and release toxic compounds called cyanotoxins, which represent a danger to both the environment and human health. Microcystin-LR (MC-LR) is the most toxic variant reported all over the world. Conventional water treatment methods are expensive and require specialized personnel and equipment. Recently, a multi-soil-layering (MSL) system, a natural and low-cost technology, has been introduced as an attractive cost-effective, and environmentally friendly technology that is likely to be an alternative to conventional wastewater treatment methods. This study aims to evaluate, for the first time, the efficiency of MSL eco-technology to remove MC-LR on a laboratory scale using local materials. To this end, an MSL pilot plant was designed to treat distilled water contaminated with MC-LR. The pilot was composed of an alternation of permeable layers (pozzolan) and soil mixture layers (local sandy soil, sawdust, charcoal, and metallic iron on a dry weight ratio of 70, 10, 10, and 10%, respectively) arranged in a brick-layer-like pattern. MSL pilot was continuously fed with synthetic water containing distilled water contaminated with increasing concentrations of MC-LR (0.18–10 µg/L) at a hydraulic loading rate (HLR) of 200 L m−2 day−1. The early results showed MC-LR removal of above 99%. Based on these preliminary results, the multi-soil-layering eco-technology could be considered as a promising solution to treat water contaminated by MC-LR in order to produce quality water for irrigation or recreational activities.

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“…Therefore, it is necessary to manage wastewater before using it directly in irrigation. The multi‐soil‐layering (MSL) ecotechnology is an efficient and low‐cost alternative for treating domestic and industrial wastewater (Song et al., 2018; Sy & Kasman, 2019). Compared with traditional treatment systems, MSL technology is easier to operate and maintain (Avila, Bayona, Martín, Salas, & García, 2015; Castronovo et al., 2017; Kamble et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

Neural network and cubist algorithms to predict fecal coliform content in treated wastewater by multi‐soil‐layering system for potential reuse

et al. 2020

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This study aims to find the most accurate machine learning algorithms as compared to linear regression for prediction of fecal coliform (FC) concentration in the effluent of a multi‐soil‐layering (MSL) system and to identify the input variables affecting FC removal from domestic wastewater. The effluent quality of two different designs of the MSL system was evaluated and compared for several parameters for potential reuse in agriculture. The first system consisted of a single‐stage MSL (MSL‐SS), and the second system consisted of a two‐stage MSL (MSL‐TS). The concentration of FC in the effluent of the MSL‐TS system was estimated by three machine learning algorithms: artificial neural network (ANN), Cubist, and multiple linear regression (MLR). The accuracy of the models was measured by comparing the real and predicted values. Significant (p < .001) improvements were noted for the removal of pollutants by the MSL‐TS system compared with the MSL‐SS system. Overall, the water quality parameters investigated complied with FAO irrigation standards. The predictive performance of the models has been compared and evaluated using several metrics. The results revealed that the ANN model yielded a superior predictive performance (R2 = .953), followed by the Cubist model (R2 = .946) and the MLR technique (R2 = .481). Based on the accurate model (ANN), the degree of influence of each predictor was investigated, and the results show that total suspended solids and pH have proved to be more useful for predicting FC concentrations.

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Reduction of Pollutant Parameters in Textile Dyeing Wastewater by Gambier (Uncaria gambir Roxb) Using the Multi Soil Layering (MSL) Bioreactor

Cited by 12 publications

References 13 publications

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

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

First Report on Cyanotoxin (MC-LR) Removal from Surface Water by Multi-Soil-Layering (MSL) Eco-Technology: Preliminary Results

Neural network and cubist algorithms to predict fecal coliform content in treated wastewater by multi‐soil‐layering system for potential reuse

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