Sewage pumping stations and wastewater treatment plants (WWTPs) serve as critical nodes through which emerging pollutants (ECs) migrate from urban and industrial sources into aquatic environments. However, research on the co-occurrence, source dynami...
Lakes across the globe are experiencing growing ecological pressure from climate change and human activities. In prairie regions, these pressures often result in shifts in phytoplankton abundance, a key indicator of water quality. Yet identifying the...
Ultrafine particles (UFP, < 100 nm) are abundantly emitted by aircraft, but quantifying their contributions to ambient particle number concentrations (PNC) is challenging due to confounding from local traffic and complex interactions between aircraf...
Extensive investigations into the increasingly severe contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in groundwater are currently causing high costs and long duration. Machine learning provides useful tools for predicting the o...
This study aimed to investigate the release and attenuation mechanisms of Cr(VI) in a shallow aquifer system and evaluate the remediation performance of a permeable reactive barrier (PRB) in central China. A hydrogeochemical and machine learning fram...
Environmental monitoring and assessment
Sep 9, 2025
Sustainable urban development requires actionable insights into the thermal consequences of land transformation. This study examines the impact of land use and land cover (LULC) changes on land surface temperature (LST) in Ho Chi Minh city, Vietnam, ...
Environmental monitoring and assessment
Sep 8, 2025
To a large extent, the food security and ecological balance of a region, particularly in agriculturally dominated areas, largely depend on the sustainable use and management of groundwater resources. However, in recent times, both natural and human-d...
Chemical forensics aims to identify major contamination sources, but existing workflows often rely on predefined targets and known sources, introducing bias. Here, we present a data-driven workflow that reduces this bias by applying an unsupervised m...
Ammonia (NH) has attracted increasing attention for its reduction potential in fine particulate matter mitigation, yet current NH emission inventories involve substantial uncertainties. Previous bottom-up NH inventories are usually constrained by sat...
Information on the biodegradation potential of organic chemicals in the ecosystem helps us analyze their persistence, bioaccumulation, and toxicity (PBT) behaviour. The environment is exposed to many chemicals from various sources, both intentionally...
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