Themed collection Outstanding Papers 2024 – Environmental Science: Advances

Integrating thermochemical–biochemical methods overcomes the single-path limits for bioenergy production. This synergy lowers costs and enhances energy sustainability, highlighting waste-to-energy's vital role in the circular economy transition.

This review includes insights on the impacts of azo dyes; the principles of bioremediation and its strategies, advantages, and limitations; and future prospects involving nanobioremediation.

Lead toxicity is a challenge for the large-scale commercial production and the field implementation of photovoltaics.

The increasing need for food and agricultural resources necessitates using pesticides to protect plants, but this approach also poses pesticide poisoning and environmental hazards.

Disputing the hypothesis that pyridine caused a mass mortality event in crustaceans along 70 km of English coastline.

Glacier ecosystems are shrinking at an accelerating rate due to changes in climate, and increased darkening from allochthonous and autochthonous carbon is leading to changes in light absorption, associated heat, and microbial communities.

Addition of cationic surfactant in combination with powdered activated carbon significantly enhanced the removal of regulated PFAS during conventional coagulation/flocculation processes.

Magnetic amino-functionalized graphene oxide is a promising adsorbent for removing “forever chemicals” from water.

This study revealed that dioxins released from wildfires in the Arctic have exceeded anthropogenic emissions from local and distant sources in the northern hemisphere since the late 2010s.

This study introduces advanced ensemble machine learning models for predicting dissolved oxygen in the Mississippi River, offering high accuracy across various forecast horizons and improving environmental monitoring.

A schematic figure illustrating how nitrogen isotopes (δ¹⁵N) from treated–raw sewage enters an estuary, is taken up by macroalgae (seaweed). Treated sewage produces more elevated δ¹⁵N values compared to raw sewage.

In this community driven project, hemp plants were used to extract PFAS from contaminated soil and hydrothermal liquefaction was used to degrade PFAS in the harvested hemp.

Machine learning is increasingly popular and promising in environmental science due to its potential in solving various environmental problems, particularly with simple code-free tools.

This study in Melbourne, Australia, reveals higher levels of microplastic pollution in industrial areas compared to commercial or residential areas. Stormwater runoff is identified as the main pathway for transporting MPs from road dust to aquatic ecosystems.

This paper presents the use of a machine learning approach to predict the performance of a Gaza wastewater treatment plant.