Call For Papers

The water treatment sector generates vast amounts of experimental and operational data, yet these datasets remain critically underutilised in advancing intelligent modelling approaches. Such data-driven methodologies are pivotal for enabling predictive analytics, process optimisation, and autonomous control systems in water/wastewater management. This Special Issue addresses persistent challenges in developing AI-enhanced computational models that bridge data science with environmental engineering applications. Submissions must not overlap with works that have been published or that are simultaneously being considered for publication elsewhere. Topics of interest include, but are not limited to, the following: Intelligent model methods for water and wastewater treatment process Intelligent model methods for sludge treatment process Intelligent model methods for environmental materials design and optimisation Intelligent model methods for environmental chemistry Keywords : Machine learning; Data-driven model; Environmental engineering; Predictive process control; Smart material optimisation; Resource recovery Instructions for Authors Editor-in-Chief : Prof. Bing-Jie Ni Please contact the editorial office at iwt @sciltp.com if you have any questions.

Micro(nano)plastic pollution in aquatic systems poses a critical global challenge, threatening ecosystems and human health. This special issue invites cutting-edge research on innovative technologies for detecting, removing, and degrading micro(nano)plastics in water. Topics include advanced oxidation processes, membrane filtration, bio-based remediation, catalytic degradation, and AI-driven monitoring systems. We also welcome studies on the environmental fate, toxicity mechanisms, and policy implications of these pollutants. By fostering interdisciplinary collaboration among chemists, engineers, environmental scientists, and policymakers, this Virtual Collection aims to accelerate sustainable solutions for mitigating plastic pollution. Instructions for Authors Editor-in-Chief : Prof. Bing-Jie Ni Please contact the editorial office at iwt @sciltp.com if you have any questions.

Per- and polyfluoroalkyl substances (PFAS), commonly referred to as "forever chemicals" in recognition of their exceptional chemical stability, have been shown to be ubiquitous environmental contaminants, with a presence that spans the globe, from the remote Arctic regions to urban precipitation systems. PFAS in sludge pose huge environmental risks, with their migration and transformation critical for safe treatment. We seek novel research on the fate, degradation, mechanisms, and environmental impacts of PFAS in the sludge treatment process. Submissions must be original. Topics include : PFAS analysis in sludge migration pathways of PFAS in sludge treatment novel PFAS treatment technologies PFAS transformation kinetics environmental fate modeling risk assessment Keywords : PFAS, sludge treatment, migration, transformation, degradation, environmental risk Instructions for Authors Editor-in-Chief : Prof. Bing-Jie Ni Please contact the editorial office at iwt @sciltp.com if you have any questions.