Numerous harmful phenolic contaminants are discharged into water that pose a serious
threat to environment where two of the most important purification methodologies for the …

Batch adsorption of phenolic compounds on different types of biochars have been
intensively, reported in literature. However, such studies under fixed-bed column for ortho …

Given the complexity of computational fluid dynamics models and the inaccuracy of semi-
empirical models in modeling biosorption process in a rotating packed bed (RPB), an …

A novel graphitic carbon nitride (g-C3N4)/amine-rich porous organic polymer (RAPOP) was
synthesized via one-pot polymerization using various molar ratios of melamine (MA) …

Chlorophenol being a phenolic endocrine-disrupting chemical is one of the most commonly
detected pollutants in water resources, which is well known for its high toxicity and …

The work presents an artificial neural network (ANN) model predicting the efficiency of Pb (II)
adsorption on polyamine-polyurea polymer modified with pyromellitic dianhydride …

The removal of phenanthrene and iodine from aqueous solutions in single and binary
systems by inactivated soil indigenous bacterial biomass (SIBB), as well as affecting factors …

In wastewater treatment, scientific and practical models utilizing numerical computational
techniques such as artificial neural networks (ANNs) can significantly help to improve the …

Evaluating the sorption performance of coexisting phenanthrene and cadmium on rice roots
is critical for a better understanding of plant sorption and uptake of combined pollutants …

There are many difficulties in using cloud computing technology to solve this problem, and
edge computing technology just provides an effective way to solve this problem. Changing …