AIMC Topic: Environmental Monitoring

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Ambient PM Exposure Modeling in LMICs: An Example from Peru.

Current environmental health reports
PURPOSE OF REVIEW: Fine particulate matter (PM) poses a public health risk, disproportionately impacting low- and middle-income countries (LMICs). In Peru, where ambient concentrations in urban areas significantly exceed the World Health Organization...

Merged methods of artificial neural networks and statistical techniques in forecasting air quality in the northern region of Peninsular Malaysia.

Environmental monitoring and assessment
Artificial neural networks (ANNs) are widely applied in air quality modelling because they can capture nonlinear interactions among pollutants and support reliable air pollutant index (API) forecasting. This study aims to identify the pollutants that...

What Drives Microplastic Exposure in Human Blood and Feces? Machine Learning Reveals Potential Key Influencing Factors.

Environmental science & technology
Microplastics are pervasive environmental pollutants, making human exposure unavoidable. Although previous studies have detected microplastics in human blood and feces, these investigations were limited by small sample sizes and key contributors to m...

Monitoring of occupational exposure to hazardous medicinal products in robotic compounding.

European journal of hospital pharmacy : science and practice
OBJECTIVE: This study aims to evaluate the risk of occupational exposure to hazardous medicinal products (HMPs) when utilising robotic compounding systems for the preparation of antineoplastic sterile medications. Specifically, it assesses the levels...

Application of machine learning for identification of key exposure predictors for heavy metal accumulation in hair of traffic police officers in Tehran.

The Science of the total environment
In order to determine variability and measure the major exposure factors affecting the levels of hazardous metals (such as Fe, Mn, Ni, Pb, As, Cr, and Cu) in the scalp hair of Tehran traffic police personnel, an advanced statistical method is used. T...

Machine learning prediction of groundwater arsenic contamination using water quality parameters in the coastal region of Bangladesh.

Environmental geochemistry and health
Groundwater arsenic contamination poses a significant health risk in coastal region of Bangladesh. However, existing studies have rarely applied advanced machine learning (ML) algorithms to predict arsenic concentrations using comprehensive water qua...

CABNas-nir: A near-infrared classification for urban pipe network sludge on the fusion algorithm of NAS framework and active learning.

PloS one
Pipe network sludge is a complex pollutant aggregate deposited during long-term operation of urban sewage pipelines, and a key target for pollution control in environmental monitoring systems. Accurate source classification is critical for treatment ...

Phytoplankton Biomass Dynamics in Wet (2019) and Dry (2023) Years in Lake Pontchartrain Estuary, Louisiana from Sentinel 2-MSI and PACE-OCI Observations.

The Science of the total environment
This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm....

Human alterations to global riverine phosphorus fluxes to the ocean.

Science advances
Rivers regulate land-ocean total phosphorus (TP) fluxes critical to ecosystem health and food security, yet global dynamics remain poorly understood due to limited observations. Here, we develop a machine learning framework integrating multimodal dat...

Chemical sensors for hazardous substances: advances in design, materials, and applications in environmental monitoring.

Environmental monitoring and assessment
Chemical sensors have become essential tools for real-time detection of hazardous substances in complex environmental systems. This review synthesizes recent advances in sensor technologies, focusing on innovations in materials, architectures, and in...