Chemical and Biological Methods in Aquatic Ecosystem Status Assessment

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 3969

Special Issue Editors


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Guest Editor
Department for Phytomedicine and Environmental Protection, Faculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: water pollutants; separation techniques; chromatography; freshwater; marine water; sediment; soil; food; fish; shells

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Department for Phytomedicine and Environmental Protection, Faculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: aquatic organisms; biological methods; bioindicators; biomonitors; environmental pollution; eutrophication; aquatic invertebrates’ and vertebrates’ bioecology
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Guest Editor

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Guest Editor
Laboratory for Molecular Genetics of Natural Resources, Institute for Genetic Engineering and Biotechnology, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina
Interests: population genetics; freshwater; fish; macrozoobenthos; barcoding; metabarcoding; aquatic habitats; assessment

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Central Water Management Laboratory, Sector of Development, Hrvatske vode, Ulica grada Vukovara 220, 10000 Zagreb, Croatia
Interests: phytoplankton; macrophytes; eutrophication; freshwater; lakes; very large rivers; assessment; pressure-impact relationship; metabarcoding
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The water quality degradation caused by an anthropogenic influence is a problem present in almost every type of water body. Unfortunately, this issue was detected relatively late, at the end of the 1980s, after many aquatic organisms had already disappeared from their habitats due to polluting chemicals in the water. The deterioration of water quality due to pollution has since become a universal health, environmental, social, and economic problem.

The best approach to comprehensively assess the quality of water and aquatic habitats is to compile a wide range of different chemical, physical, and biological parameters. Today, a palette of methods can be utilized to survey and evaluate the negative effects on aquatic organisms and water quality set off by hazardous substances from different sources, in particular agriculture. Various emerging or already established novel chemical and biological methods offer promising applications in aquatic ecosystem status assessments. However, standardized, reproducible, and multilevel-controlled monitoring protocols are called for to establish early-warning and alarm systems. Review papers and studies carried out at different experimental scales (i.e., field, laboratory) are encouraged, as well as research approaching this topic through a combination of cultivation-based, molecular, and analytical methods.

Prof. Dr. Vojislava Bursić
Prof. Dr. Aleksandra Petrović
Prof. Dr. Nikola Puvača
Prof. Dr. Belma Kalamujić Stroil
Dr. Igor Stanković
Guest Editors

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Keywords

  • trend analysis
  • aquatic ecosystem pollution
  • environmental monitoring
  • seasonality
  • risk assessments
  • water quality
  • interaction of biota with water pollution substances
  • novel genetic methods in aquatic assessment and monitoring
  • multiple pressures
  • ecological status classification
  • EU water framework directive

Published Papers (1 paper)

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Research

20 pages, 3795 KiB  
Article
Multivariate Analysis of Water Quality Measurements on the Danube River
by Zoltan Horvat, Mirjana Horvat, Kristian Pastor, Vojislava Bursić and Nikola Puvača
Water 2021, 13(24), 3634; https://0-doi-org.brum.beds.ac.uk/10.3390/w13243634 - 17 Dec 2021
Cited by 6 | Viewed by 2837
Abstract
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 [...] Read more.
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. Full article
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