Multivariate analysis of water quality parameters in Lake Palic, Serbia

This study presents a comprehensive investigation of water quality parameters in the fourth sector of Lake Palic in Serbia, which has a regional strategic importance. Namely, it is designated as a tourist destination. What is perhaps even more important is that its surplus water ends up in Lake Luda...

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Vydané v:Environmental monitoring and assessment Ročník 193; číslo 7; s. 410
Hlavní autori: Horvat, Mirjana, Horvat, Zoltan, Pastor, Kristian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.07.2021
Springer Nature B.V
Predmet:
Algorithms
Ammonium
Ammonium compounds
Ammonium nitrogen
Anthropogenic factors
Aquatic birds
Aquatic habitats
Atmospheric Protection/Air Quality Control/Air Pollution
Biochemical oxygen demand
Chlorophyll
Chlorophyll a
Cluster analysis
Earth and Environmental Science
ecological balance
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental monitoring
Environmental science
habitats
Identification
Lakes
Learning algorithms
Machine learning
Mathematical models
Monitoring/Environmental Analysis
Multivariate analysis
Oxygen
Oxygen demand
Oxygen requirement
Parameter estimation
Parameters
principal component analysis
Principal components analysis
Serbia
Total oxygen demand
tourists
Water analysis
water birds
Water depth
Water quality
Water quality measurements
Waterfowl
Serbia
Multivariate regression
Water quality assessment
Temporal water quality
WQI
Machine learning
PCA
ISSN:0167-6369, 1573-2959, 1573-2959
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Shrnutí:This study presents a comprehensive investigation of water quality parameters in the fourth sector of Lake Palic in Serbia, which has a regional strategic importance. Namely, it is designated as a tourist destination. What is perhaps even more important is that its surplus water ends up in Lake Ludas, a significant habitat for migrating and aquatic bird species, and it is a RAMSAR site. The conducted analysis points to the major conclusion that the reasons for very high Chlorophyll-a values can be found in considerable anthropogenic pressures exerted on the studied area. Due to these pressures, the lake is not in ecological equilibrium. To support this conclusion, an in-depth analysis was conducted using water quality measurements for 9 years, from 2011 to 2019. The data was subject to principal component analysis (PCA) and machine learning classification algorithms that identified a seasonal character regarding the lake’s water quality. Water quality indexes (WQI) were determined using two approaches to provide a more general insight into the lake’s overall quality. Keeping in mind the large number of data gathered monthly within the Palic-Ludas Lake system, fitted models for estimating certain water quality parameters were also developed. This was accomplished via multivariate regression, resulting in a number of equations that can, using a few basic input parameters, predict values of ammonium nitrogen, Chlorophyll-a, and 5-day biological oxygen demand. The fitted models were obtained for relatively homogeneous periods within a year identified by cluster analysis.
Bibliografia:ObjectType-Article-1
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ISSN:0167-6369
1573-2959
1573-2959
DOI:10.1007/s10661-021-09195-8