0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Policy & Risk Sign in to save

Addressing the Uncertainties in the Environmental Analysis, Modeling, Source and Risk Assessment of Emerging Contaminants

Water 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 43 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Wenxing Zhao, Wenxing Zhao, Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Gang Yu, Bin Wang Gang Yu, Bin Wang Bin Wang Wenxing Zhao, Bin Wang Wenxing Zhao, Bin Wang Gang Yu, Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Bin Wang Gang Yu, Bin Wang

Summary

Despite its title referencing emerging contaminants broadly, this paper is a methodological review of uncertainties in environmental research — covering sampling errors, modeling limitations, and risk assessment gaps across all contaminant types — not a study specifically about microplastics or their health effects. It is not directly relevant to microplastic pollution or human health.

Emerging contaminants (ECs) have become a growing source of worry for environmental researchers and stakeholders in recent decades. Compared with conventional pollutants, ECs can pose environmental risks even at a trace level. The analysis of ECs is typically significantly more challenging than that of conventional pollutants because of their trace amounts and diverse chemical structures. For sound environmental management, it is necessary to perform a comprehensive study of these pollutants. Global concern has increasingly grown over the occurrence, fate, environmental modeling, and risk assessment of such contaminants. Due to the dearth of knowledge in this area, various uncertainties inevitably exist in the investigation of ECs. Environmental problems cannot be precisely understood due to the ubiquitous uncertainties in environmental research. Uncertainties and their sources have been reviewed in this study, including spatial and temporal variability, uncertainty in sample collection and analysis, uncertainty in environmental modeling, uncertainty in risk assessment, and uncertainty in source characterization. Some suggestions to reduce uncertainties are summarized. An awareness of uncertainty is necessary for us to have a more accurate understanding and contribute to sound environmental decision-making and management. In addition, more work remains to be performed to reveal the uncertainties in the analysis and risk assessment of ECs.

Sign in to start a discussion.

Share this paper