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Godo-Pla, L., Emiliano, P., Valero, F., Poch, M., Sinc, G. and Monclús, H. (2019) Predicting the Oxidant Demand in Full-Scale Drinking Water Treatment Using an Artificial Neural Network: Uncertainty and Sensitivity Analysis. Process Safety and Environmental Protection, 125, 317-327. https://doi.org/10.1016/j.psep.2019.03.017

has been cited by the following article:

• TITLE: Enhanced Coagulation: Promising Findings and Challenges

  AUTHORS: Djamel Ghernaout

  KEYWORDS: Enhanced Coagulation (EC), Dissolved Organic Matter (DOM), Algae, Disinfection By-Products (DBPs), Charge Neutralization

  JOURNAL NAME: Open Access Library Journal, Vol.7 No.7, July 17, 2020

  ABSTRACT: The coagulation process remains one of the fundamental treatment techniques for treating water and wastewater. Enhancing the coagulation process is more and more a popular research topic. This work focuses on the implementation of chemical oxidation-enhanced coagulation (EC). It also discusses distinguished findings and innovations of EC and its main dares and trends. Pre-oxidation remains widely employed in dealing with water carrying algae and ameliorates coagulation by breaking the organic coating and modifying the surface potential of particles, even if precautions should be adopted to avoid algal organic matter release. EC remains importantly influenced by practical variables such as mixing conditions and coagulation process control. As a perspective, modeling mathematically EC is more than requested. Employing ozonation with GAC could also be adopted and estimated in situations where EC is utilized.