Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study

Walczak, Natalia; Walczak, Zbigniew; Laks, Ireneusz

doi:10.12911/22998993/173191

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Tytuł artykułu

Field Measurements and Machine Learning Algorithms to Monitor Water Quality in Lakes Located in Landscape Parks – A Case Study

Autorzy

Walczak Natalia , Walczak Zbigniew , Laks Ireneusz

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DOI

10.12911/22998993/173191

Warianty tytułu

Języki publikacji

Abstrakty

One of the greatest threats to many lakes is their accelerated eutrophication resulting from anthropogenic pressure, agricultural intensification, and climate change. A very important element of surface water protection in environmentally conserved areas is the proper monitoring of water quality and detection of potential threats by examining the physicochemical properties of water and performing statistical analyses that enable possible exposure of unfavourable trends. The article presents the analyses of the results of measurements made in three lakes located in the Sierakowski Landscape Park. As part of the measurements, water quality indicators i.e., phosphorus, nitrogen, BOD₅ and COD, were determined monthly for a year at the inflows and outflows of the studied lakes. The test results of selected water quality indicators were analysed using machine learning algorithms i.e., PCA and k-means. The conducted tests enabled statistical estimation of changes in water quality indicators in the reservoirs and evaluation of their correlation.

Słowa kluczowe

quality of water lake phosphorus nitrogen BOD5 COD PCA k-means ANOVA Kruskal-Wallis test

Wydawca

Polskie Towarzystwo Inżynierii Ekologicznej
Lublin University of Technology

Czasopismo

Journal of Ecological Engineering

Rocznik

2024

Tom

Vol. 25, nr 1

Strony

49--64

Opis fizyczny

Bibliogr. 59 poz., rys., tab.

Twórcy

autor

Walczak Natalia

natalia.walczak@up.poznan.pl

Department of Hydraulic and Sanitary Engineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland

https://orcid.org/0000-0003-0344-585X

autor

Walczak Zbigniew

Department of Construction and Geoengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland

https://orcid.org/0000-0003-3999-7250

autor

Laks Ireneusz

Department of Construction and Geoengineering, Poznan University of Life Sciences, ul. Wojska Polskiego 28, 60-637 Poznan, Poland

https://orcid.org/0000-0003-4078-9600

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-15a4b26c-7d35-47cc-b2ca-6c80f6efb68e