Field measurements on alluvial watercourses in light of numerical modeling: case studies on the Danube River

Horvat, Zoltan; Horvat, Mirjana; Koch, Dániel; Majer, Fruzsina

doi:10.1007/s10661-020-08751-y

Cited by 3 publications

(3 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The complete measurements included the elevations of cross-sections at approximately 100 m apart (intended for building a digital terrain model), complemented with detailed hydraulic and sediment transport measurements at seven cross-sections within the analyzed reach. A paper published by Horvat et al [10] gives a thorough description of the hydraulic and sediment measurements implemented in addition to the water quality measurements considered in this work.…”

Section: Methodsmentioning

confidence: 99%

“…Consequently, most research, including numerical models, faces constraints due to insufficient measurements (lack of spatial or temporal data distribution, accuracy, etc.). An example of a comprehensive measuring campaign conducted on the Danube River is presented in [10]. Although it deals with hydraulic and sediment transport parameters, this paper clearly describes the extensive work required to acquire high-quality data.…”

Section: Introductionmentioning

confidence: 99%

“…After the data gathering (measurements and sampled data evaluation) is completed, an adequate tool for evaluating the available data should be selected. Since most of these measurements include large amounts of data [10], researchers often opt for multivariate techniques capable of extracting underlying information in a very efficient manner. Multivariate data analysis involves processing a substantial number of correlated variables, with different algorithms and techniques used to analyze and interpret such data.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multivariate Analysis of Water Quality Measurements on the Danube River

Horvat

Pastor

et al. 2021

Water

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multivariate Analysis of Water Quality Measurements on the Danube River

Horvat

Pastor

et al. 2021

Water

Self Cite

View full text Add to dashboard Cite

show abstract

Geospatial distribution of heavy metals in sediments of water sources in the Drini i Bardhë river basin (Kosovo) using XRF technique

Laha

Gashi

Frančišković-Bilinski

et al. 2022

Sustain. Water Resour. Manag.

View full text Add to dashboard Cite

Distribution of phytoplankton diversity and abundance in Manokwari waters, West Papua - Indonesia

Badila

Matulessy

Kolibongso

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The distribution of phytoplankton diversity and abundance found in coastal areas is usually different from the open seas due to changes in environmental parameters. The study was conducted to provide data on the distribution, diversity (H’ and Simpson’s indices), and abundance of phytoplankton in five different stations and to identify some influencing factors using canonical correspondence analysis (CCA). Three stations (Arowi, Rendani, and Maruni) are inside an embayment area and close to the center of human activity; the other two stations (Sidei and Undi) are off the bay. Total cell abundance ranged from 1,680 to 10,260 cells.m−3. The Baccilariophyceae were the most diverse and numerous classes. There were 17 phytoplankton taxa members of the classes of Bacillariophyceae (11 taxa), Dinophyceae (2 taxa), Chlorophyceae (2 taxa), and Cyanophyceae (2 taxa). The phytoplankton from Arowi station showed highest diversity (H’ = 2.38), followed by Sidey (H’ = 2.24), Undi (H’ = 2.10), Rendani (H’ = 2.06), and Maruni stations (H’ = 1.83). The ecological indices of Arowi, Sidey, Undi, and Rendani indicated quite stable communities, while Maruni was indicated unstable communities. Several species of blooming and toxic phytoplankton were found at all stations, one of which was Pseudonitczhia sp. CCA analysis showed that salinity, temperature, pH, phosphate, and current are limiting factors for the distribution and abundance of phytoplankton in Manokwari waters.

show abstract

Field measurements on alluvial watercourses in light of numerical modeling: case studies on the Danube River

Cited by 3 publications

References 46 publications

Multivariate Analysis of Water Quality Measurements on the Danube River

Multivariate Analysis of Water Quality Measurements on the Danube River

Geospatial distribution of heavy metals in sediments of water sources in the Drini i Bardhë river basin (Kosovo) using XRF technique

Distribution of phytoplankton diversity and abundance in Manokwari waters, West Papua - Indonesia

Contact Info

Product

Resources

About