Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …

Advanced oxidation processes (AOPs) can degrade a wide range of trace organic
contaminants (TrOCs) to improve the quality of potable water or discharged wastewater …

The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

Over the past years, persulfate (PS) is widely applied due to their high versatility and efficacy
in decontamination and sterilization. While treatment of organic chemicals, remediation of …

Interfacial reactions drive all elemental cycling on Earth and play pivotal roles in human
activities such as agriculture, water purification, energy production and storage …

Converting biomass into biochar (BC) as a functional biocatalyst to accelerate persulfate
activation for water remediation has attracted much attention. However, due to the complex …

Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …

As emerging contaminants, microplastics and nanoplastics pose analytical challenges to the
scientific community due to the small size, diverse composition and complex environmental …

Studying heavy metal adsorption on soil is important for understanding the fate of heavy
metals and properly assessing the related environmental risks. Existing experimental …