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Papers
6 resultsShowing papers from National University of Water and Environmental Engineering
ClearQuantitative and qualitative analysis of microplastic pollution in a large European river
Researchers sampled the Budapest reach of the Danube River at multiple water column depths using a Multilevel Manta net, finding an average microplastic concentration of 0.311 mg/m³ (142 particles/m³) dominated by polystyrene, polyethylene, and polypropylene fragments, and estimating substantial microplastic mass flux that underscores the Danube's role as a major transport pathway for plastic pollution.
Microfiber emission from a municipal wastewater treatment plant in Hungary
Researchers measured microfiber emissions from a municipal wastewater treatment plant in Budapest, Hungary, and found that cellulose-based fibers dominated the effluent, with petroleum-based fibers like polyester also present. The study found seasonal variation in fiber concentrations and sizes, highlighting that wastewater treatment plants remain a pathway for both natural and synthetic microfibers to enter rivers.
Sustainability of Geosynthetics-Based Solutions
This paper discusses how geosynthetic materials in civil and environmental engineering can significantly improve sustainability by replacing natural materials like sand, gravel, and cement, reducing carbon footprint and greenhouse gas emissions, while enabling innovative solutions for climate change adaptation.
Influence of Technological Factors on the Formation and Transformation of Iron-Containing Phases in the Process of Ferritization of Exhausted Etching Solutions
Not relevant to microplastics — this study investigates the ferritization process for recycling toxic industrial etching solutions from metallurgical plants, focused on iron phase chemistry and magnetite production with no connection to microplastic pollution.
Assessment of ecological sustainability of the landscape of the Prypiat River basin within the Volyn region
Researchers assessed the ecological sustainability of landscapes in the Prypiat River basin within the Volyn Oblast of Ukraine by calculating landscape ecological sustainability coefficients from statistical reporting data. Spatial analysis was performed using ArcMap and ArcGIS Pro to generate environmental maps and conduct comparative geographical analysis of sustainability across territorial communities.
Uncertainty Quantification of Granular Computing-neural Network Model for Prediction of Pollutant Longitudinal Dispersion Coefficient in Aquatic Streams
Researchers developed a combined granular computing and neural network model to predict how fast pollutants disperse longitudinally in streams, improving uncertainty quantification. Better models for pollutant transport help predict how microplastics and other contaminants spread through river networks.