Transforming wastewater treatment: Recent advancements in Catalytic Wet Air Oxidation with pillared clay catalysts for phenol remediation

Catalytic Wet Air Oxidation (CWAO) has recently been recognized as a promising technique for degrading persistent organic pollutants, such as phenol, in wastewater. Among various catalysts, Pillared Interlayer Clays (PILCs) stand out due to their high specific surface area and porous nature. This review delves into the latest progress in CWAO processes utilizing PILCs for the degradation of organic contaminants such as phenol in wastewater. It meticulously assesses the synthesis of PILCs, and their structural properties, including monolithic forms, to understand their effect on catalyst efficiency. Key insights into how these attributes affect the phenol degradation rate and the CWAO process's stability are discussed, providing crucial direction for enhancing catalyst performance. The review highlights the significance of choosing catalysts that offer a balance between cost-efficiency and operational efficacy under mild conditions. The recent results are reported, summarized, and compared, thus proving the feasibility of using PILCs as promising materials for phenol removal. The reaction parameters, phenol conversion, and degradation mechanisms are highlighted. The catalytic efficiency of PILCs was significantly affected by the synthesis methods and reaction parameters, and outperformed most costly catalysts. PILCs are highlighted as especially advantageous catalysts, offering strong performance at lower costs, which boosts the up-scaling opportunities of CWAO methods. This analysis also points out research gaps and proposes directions for future studies, such as exploring innovative PILC synthesis methods to improve their catalytic effectiveness and durability further. It stresses the need to incorporate environmental and sustainability considerations into catalyst design and selection, aligning with the principles of green chemistry in wastewater treatment. Finally, we conclude that proposing new directions for PILCs in CWAO in further naturally-based surface modifications, is also a promising approach for PILCs to perform more efficiently.

A Sustainable Decision Support System for Drinking Water Systems: Resiliency Improvement against Cyanide Contamination

Maintaining drinking water quality is considered important in building sustainable cities and societies. On the other hand, water insecurity is an obstacle to achieving sustainable development goals based on the issues of threatening human health and well-being and global peace. One of the dangers threatening water sources is cyanide contamination due to industrial wastewater leakage or sabotage. The present study investigates and provides potential strategies to remove cyanide contamination by chlorination. In this regard, the main novelty is to propose a sustainable decision support system for the dirking water system in a case study in Iran. First, three scenarios have been defined with low ([CN−] = 2.5 mg L−1), medium ([CN−] = 5 mg L−1), and high ([CN−] = 7.5 mg L−1) levels of contamination. Then, the optimal chlorine dosage has been suggested as 2.9 mg L−1, 4.7 mg L−1, and 6.1 mg L−1, respectively, for these three scenarios. In the next step, the residual cyanide was modelled with mathematical approaches, which revealed that the Gaussian distribution has the best performance accordingly. The main methodology was developing a hybrid approach based on the Gaussian model and the genetic algorithm. The outcomes of statistical evaluations illustrated that both injected chlorine and initial cyanide load have the greatest effects on residual cyanide ions. Finally, the proposed hybrid algorithm is characterized by the multilayer perceptron algorithm, which can forecast residual cyanide anion with a regression coefficient greater than 0.99 as a soft sensor. The output can demonstrate a strong positive relationship between residual cyanide- (RCN−) and injected chlorine. The main finding is that the proposed sustainable decision support system with our hybrid algorithm improves the resiliency levels of the considered drinking water system against cyanide treatments.