Coagulation/flocculation process for textile mill effluent treatment: experimental and numerical perspectives

Karam, Ahmed; Bakhoum, Emad S.; Zaher, Khaled

doi:10.1080/19397038.2020.1842547

Cited by 81 publications

(30 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chemical coagulation of initial wastewater is involved in this kind of operation to promote sedimentation of divided solids and turn them into more settleable flocs. 19 Thus, improving the removal efficiency of suspended solids. Soluble substance collection is then maintained within a soluble solution with a proper interface during the adsorption process.…”

Section: Introductionmentioning

confidence: 99%

Recent advances in dye and metal ion removal using efficient adsorbents and novel nano-based materials: an overview

2021

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Recent advances in dye and metal ion removal using efficient adsorbents and novel nano-based materials: an overview

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The ANN is used in comparative study of the simulation of adsorption process used in case of textile wastewater colour removal (Karam et al, 2020a). The ANN is also used for the feasibility study of applying coagulation/flocculation process for real textile wastewater treatment (Karam et al, 2020b). Sobhanifard (2018) has applied ANN in order to explore hybrid model of consumption of organic foods.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Forecasting Buying Intention Through Artificial Neural Network: An Algorithmic Solution on Direct-to-Consumer Brands

Prasad¹,

Ghosal

2021

FIIB Business Review

View full text Add to dashboard Cite

The direct-to-consumer (DTC) brands are emerging to reach more number of consumers with more potential to meet their expectations. They are characterized through their metamorphosis as the vertical brands sell their products from the manufacturer to consumers directly without any interruptions from distribution channels as in traditional mode of doing business. They are annihilating themselves in the virtual platforms and later disrupting their existing linear sales models. This empirical investigation is targeted to construct an algorithmic model through a deep learning process which has been instrumental to predict the purchase decision. This investigation has churned a predictive model that is based on the attributes of the buying behaviour of the consumers. The attributes of online buying behaviour like safety of transaction, availability of innovative products and quality of products have been considered to build a predictive model through artificial neural network (ANN). The accuracy of training and testing data are closer, which infers about the consistency and validity of the predictive model. There are several consequences arising from the predictive model obtained that can be seeded from customer-centred marketing and further stemmed from the framing of business strategy, gaining insights into market architecture and choice of customer

show abstract

“…To be precise, coronavirus survival in water and wastewater depends on temperature, wastewater type, suspended particles, organic matter concentrations, solution pH, and disinfectant dose (Tran et al 2021 ). The coronavirus can be eliminated in wastewater by chlorine dosing (as it is sensitive to disinfectants such as chlorine); however, it is insufficient to control and eliminate the virus in wastewater (Karam et al 2021 ; Lahrich et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Disinfection of corona and myriad viruses in water by non-thermal plasma: a review

Guesmi

Cherif

Baaloudj

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Nowadays, in parallel to the appearance of the COVID-19 virus, the risk of viruses in water increases leading to the necessity of developing novel disinfection methods. This review focuses on the route of virus contamination in water and introduces non-thermal plasma technology as a promising method for the inactivation of viruses. Effects of essential parameters affecting the non-thermal discharge for viral inactivation have been exposed. The review has also illustrated a critical discussion of this technology with other advanced oxidation processes. Additionally, the inactivation mechanisms have also been detailed based on reactive oxygen and nitrogen species.

show abstract

Coagulation/flocculation process for textile mill effluent treatment: experimental and numerical perspectives

Cited by 81 publications

References 36 publications

Recent advances in dye and metal ion removal using efficient adsorbents and novel nano-based materials: an overview

Recent advances in dye and metal ion removal using efficient adsorbents and novel nano-based materials: an overview

Forecasting Buying Intention Through Artificial Neural Network: An Algorithmic Solution on Direct-to-Consumer Brands

Disinfection of corona and myriad viruses in water by non-thermal plasma: a review

Contact Info

Product

Resources

About