We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Multivariate Analysis of Water Quality Measurements on the Danube River
Summary
This study applied multivariate statistical analysis to evaluate water quality data collected across multiple depths and cross-sections of the Danube River, identifying patterns in physical, chemical, and biological parameters. Better tools for interpreting complex environmental monitoring data support early detection of pollution including chemical contaminants that interact with microplastics.
This study investigates the potential of using principal component analysis and other multivariate analysis techniques to evaluate water quality data gathered from natural watercourses. With this goal in mind, a comprehensive water quality data set was used for the analysis, gathered on a reach of the Danube River in 2011. The considered measurements included physical, chemical, and biological parameters. The data were collected within seven data ranges (cross-sections) of the Danube River. Each cross-section had five verticals, each of which had five sampling points distributed over the water column. The gathered water quality data was then subjected to several multivariate analysis techniques. However, the most attention was attributed to the principal component analysis since it can provide an insight into possible grouping tendencies within verticals, cross-sections, or the entire considered reach. It has been concluded that there is no stratification in any of the analyzed water columns. However, there was an unambiguous clustering of sampling points with respect to their cross-sections. Even though one can attribute these phenomena to the unsteady flow in rivers, additional considerations suggest that the position of a cross-section can have a significant impact on the measured water quality parameters. Furthermore, the presented results indicate that these measurements, combined with several multivariate analysis methods, especially the principal component analysis, may be a promising approach for investigating the water quality tendencies of alluvial rivers.
Sign in to start a discussion.
More Papers Like This
Digital Image Analysis and Multivariate Data Analysis as Tools for the Identification of Microplastics in Surface Waters: The Case of the Vistula River (Central Europe)
Researchers demonstrated digital image analysis combined with microscopy as a tool for identifying and characterizing microplastic particles from Vistula River surface water samples, performing exhaustive quantitative and qualitative evaluation of 2D and 3D morphology to characterize MP abundance and composition.
Microplasic measurements at the Danube river using a multi-level approach
Researchers measured microplastics in the Danube River using multiple sampling approaches at different scales, confirming that microplastics are present throughout the water column. Finer-scale analysis consistently revealed more particles than coarser methods. The findings support the use of multi-level sampling strategies to accurately assess microplastic contamination in major river systems.
Assessment of Different Sampling, Sample Preparation and Analysis Methods Addressing Microplastic Concentration and Transport in Medium and Large Rivers Based on Research in the Danube River Basin
Monitoring microplastics in rivers is hampered by the lack of standardized methods, making it difficult to compare results across studies. This research tested three common sampling approaches on the Danube River and its tributaries, finding that each method produced meaningfully different estimates of microplastic concentrations and transport. The results underscore the urgent need for agreed-upon protocols so that data from different countries and research groups can be reliably combined to track river-to-ocean plastic pollution.
Quantitative 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.
Isolation of Microplastics from Freshwater Macroinvertebrates in the Danube River
Researchers isolated microplastics from three freshwater species — mollusks, worms, and midge larvae — collected from the Danube River during a major scientific survey. Using different organism types as biological monitors showed that microplastic contamination is widespread in the river's aquatic ecosystem.