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61,005 resultsShowing papers similar to Common issues of data science on the eco-environmental risks of emerging contaminants.
ClearEcological risk assessment of emerging contaminants on soil and terrestrial ecosystems (2005-2024): a bibliometric and scientometric review.
A 20-year (2005–2024) bibliometric review of ecological risk assessment studies on emerging contaminants identified key trends and gaps in understanding the risks of microplastics, pharmaceuticals, and other pollutants to soil and terrestrial ecosystems. The review found rapid growth in the field but persistent data gaps on long-term ecosystem-level effects.
Characterizing Freshwater Ecotoxicity of More Than 9000 Chemicals by Combining Different Levels of Available Measured Test Data with In Silico Predictions
Researchers developed a method combining laboratory toxicity data with computer predictions to estimate the ecological hazards of over 9,000 chemicals in freshwater environments. They found that using even limited experimental data alongside predictive models significantly improved the accuracy of environmental risk assessments. The approach could help regulators better evaluate the ecological impact of the thousands of chemicals, including plastic-related compounds, that currently lack comprehensive toxicity data.
Unraveling the ecotoxicity of micro(nano)plastics loaded with environmental pollutants using ensemble machine learning.
Researchers developed an ensemble machine learning algorithm to predict the ecotoxicity of micro(nano)plastics loaded with environmental pollutants, addressing a key knowledge gap where most studies examine plastic particles alone. The model revealed that co-pollutant loading substantially amplifies toxicity and that particle characteristics govern outcomes.
Environmental Behaviors, Ecological Risks, and Toxic Mechanisms of Emerging and Legacy Contaminants in China: From Distribution to Management
Researchers reviewed the environmental distribution, ecological risks, and toxic mechanisms of both emerging and legacy contaminants in China's aquatic environments, examining how industrialization and urbanization drive the co-occurrence and combined pollution that threatens ecosystem integrity and human health.
Confounding factors in nano and microplastic ecological risk assessment
This review identified and discussed the major confounding factors in micro- and nanoplastic ecotoxicology research, including particle variability, contamination during testing, and inconsistent methodology. The authors highlighted how these confounders lead to discrepancies across studies and outlined best practices for improving data quality and comparability.
Assessment of ecological risk for ecosystems caused by dredged materials in freshwater environments
Researchers assessed ecological risks posed by chemical contaminants in dredged freshwater sediments, evaluating metals, organic pollutants, and emerging contaminants including microplastics across multiple risk metrics to inform safe disposal and management decisions.
Data driven methods to increase the reliability of microplastics hazard assessment
Researchers applied data-driven methods to synthesize microplastic ecotoxicology studies and improve the reliability of hazard assessments for organisms. The analysis identified systematic biases in the existing literature and proposed statistical approaches to generate more robust effect size estimates.
Emerging pollutants in water environment: Occurrence, monitoring, fate, and risk assessment
This review summarizes research published in 2018 on emerging pollutants in water environments, covering their occurrence, detection methods, environmental fate, and ecological toxicity. Researchers highlight the challenge of assessing the vast number of emerging compounds, including microplastics, pharmaceuticals, and personal care products, that are now routinely found in water systems. The study emphasizes the need for improved analytical methods and risk assessment frameworks to address this growing category of environmental contaminants.
State of the Art of Triad-Based Ecological Risk Assessment: Current Limitations and Needed Implementations in the Case of Soil Diffuse Contamination
This review examines the triad approach for ecological risk assessment in soils facing diffuse contamination, synthesizing the literature on its applications to terrestrial ecosystems and identifying current limitations when dealing with chronic low-level mixtures of micropollutants. The authors recommend improvements to the triad methodology to better address complex, real-world soil contamination scenarios.
Marine Contaminants of Emerging Concern
This review examines the identification and classification of marine contaminants of emerging concern, discussing the challenges that environmental regulators and researchers face in defining, listing, and managing substances that lack comprehensive regulatory frameworks despite evidence of ecological risk.
A New Method for Environmental Risk Assessment of Pollutants Based on Multi-dimensional Risk Factors
Researchers proposed a new synthetic risk factor (SRF) method for environmental risk assessment that integrates toxicity endpoint values, environmental exposure levels, persistence properties, and compartment-specific features across multiple environmental media into a single multi-dimensional evaluation framework. The approach addresses a key limitation of traditional chemical risk assessment methods that assess toxicity and exposure without accounting for persistent pollutant behavior across different environmental compartments.
Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review
This review categorizes the various computer models used to predict how emerging contaminants, including microplastics and pharmaceuticals, behave in aquatic environments. Researchers compared conventional water quality models, multimedia fugacity models, and machine learning approaches, finding that machine learning models offer the most versatility for tasks like contaminant identification and risk assessment. The study highlights that while modeling capabilities have advanced rapidly, gaps remain in applying these tools to real-world water pollution scenarios.
Current applications and future impact of machine learning in emerging contaminants: A review
This review examines how machine learning is being applied to emerging contaminant research including microplastics, covering identification, environmental behavior prediction, bioeffect assessment, and removal optimization of these pollutants.
Data driven methods to increase the reliability of microplastics hazard assessment
Researchers applied statistical data-driven methods to improve the reliability of microplastic hazard assessments derived from a growing but inconsistent body of ecotoxicology literature. The analysis identified key study characteristics that explain variability in reported effect sizes.
Review of Recent Advances in Microplastic Ecological Risk Assessment: From Problem Formulation to Risk Characterization
This review of existing research shows that tiny plastic particles called microplastics are contaminating our environment and food chain, carrying harmful chemicals and pollutants that can end up in our bodies. Scientists still don't fully understand how dangerous these microplastics are to human health or how they move through the food we eat, from fish to drinking water. The researchers say we need better methods to study these risks so we can protect people and create policies to reduce plastic pollution.
Chemical Mixtures and Multiple Stressors: Same but Different?
This review highlights the parallels between chemical mixture research and multiple stressor ecology, arguing that both fields face similar challenges in predicting joint effects and would benefit from integrated frameworks combining chemical and non-chemical stressor assessments.
An alternative approach to risk rank chemicals on the threat they pose to the aquatic environment
This paper proposed an alternative approach for ranking chemicals by the threat they pose to aquatic ecosystems, integrating exposure and hazard data in a more ecologically meaningful way than standard risk quotient methods.
1 Occurrence, fate, and toxicity of emerging contaminants in a diverse ecosystem
This review examines the occurrence, fate, and toxicity of emerging contaminants (ECs) in diverse ecosystems, focusing on compounds arising from urbanization and industrialization that persist in wastewater treatment systems and migrate into multiple environmental compartments. The authors discuss how ECs resist biodegradation, accumulate in living cells, and transfer through trophic levels, presenting a significant ongoing challenge to public health and ecosystem integrity.
Microplastics: addressing ecological risk through lessons learned
Researchers reviewed the current state of microplastic ecological risk assessment and proposed applying lessons learned from more established fields of environmental research. The study suggests that despite widespread concern about microplastic pollution, scientific understanding of actual ecological risk remains limited, and future research should follow more rigorous risk assessment frameworks.
Environmental geochemistry of emerging contaminants: impacts on agroecosystem function, food security, and human health
This review examines how emerging contaminants including microplastics, PFAS, pharmaceuticals, and engineered nanomaterials threaten agricultural ecosystems and food safety. Researchers found that these pollutants persist in soil, accumulate in crops, and disrupt beneficial soil organisms, creating complex risks that are difficult to manage with current approaches. The study emphasizes the urgent need for integrated monitoring and remediation strategies to protect both food production and human health.
Gaps in aquatic toxicological studies of microplastics
This paper identifies key gaps in aquatic toxicological studies of microplastics, arguing that most studies use unrealistic concentrations or particle types and calling for more ecologically relevant experimental designs to better assess real-world risks.
Large Data Technology-Based Analysis Method of Sudden Eco-Environmental Toxic Pollution
This paper proposes a big data approach to analyzing sudden environmental toxic pollution incidents by combining genomic and proteomic data across environmental samples. The method aims to improve accuracy over manual inspection techniques for detecting ecological contamination events.