Multivariate Analysis of Water Quality in the Seybouse River: Implications for Pollution Management

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F24%3A00602574" target="_blank" >RIV/67985939:_____/24:00602574 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12310/24:43908468

Result on the web

<a href="https://doi.org/10.1002/tqem.22342" target="_blank" >https://doi.org/10.1002/tqem.22342</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/tqem.22342" target="_blank" >10.1002/tqem.22342</a>

Result language

angličtina

Original language name

Multivariate Analysis of Water Quality in the Seybouse River: Implications for Pollution Management

Original language description

Heavy metal contamination in water bodies is a pervasive and persistent environmental challenge in many parts of the world, especially in developing countries. This study investigates the use of multivariate analysis methods for monitoring variations in water quality along a spatial gradient and for the interpretation of pollution levels at different sampling sites. We assessed the water quality of the Seybouse River and identified possible sources of pollution using three complementary multivariate analysis techniques (PCA, NMDS, and K-means clustering). The results indicate a longitudinal gradient in water quality associated with industrial and agricultural activities in the middle and lower Seybouse River. Physico-chemical and heavy metal analyses show high water turbidity with elevated concentrations of iron and chromium. We show that the contamination stems from four different sources, which can be categorized into different pollution levels. Our results suggest that complementary multivariate methods are a robust approach to identifying and categorizing significant sources of pollution in rivers, enabling the development of future successful water quality management strategies based on water pollution levels. This study highlights the importance of monitoring water quality and taking effective measures to control and mitigate pollution from various sources to ensure the safety of the environment and human health.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10618 - Ecology

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

ENVIRONMENTAL QUALITY MANAGEMENT

ISSN

1088-1913

e-ISSN

1520-6483

Volume of the periodical

34

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

e22342

UT code for WoS article

001368232100001

EID of the result in the Scopus database

2-s2.0-85208038018