@conference{
author = "Vesković, Jelena and Lučić, Milica and Ražić, Slavica and Deršek-Timotić, Ivana and Miletić, Andrijana and Đolić, Maja and Onjia, Antonije",
year = "2023",
abstract = "One of the most significant sources of drinking water is groundwater. Therefore, it is
crucial to assess groundwater quality and ascertain potential causes of contamination to address
pollution and provide people with clean drinking water. In this paper, groundwater in the Morava
River plain is investigated and analyzed for 14 physicochemical parameters, such as pH, EC, HCO3
, NO3
-
, PO4
3-
, Cl-
, SO4
2-
, Na+
, K+
, Mg2+, Ca2+, Fe, Mn, and As. To determine groundwater facies and
sources of pollution, three multivariate statistical analysis techniques were applied. Hierarchical
Cluster Analysis (HCA) was used to group groundwater samples based on their similar chemical
characteristics and to determine the dominant hydrochemical groundwater type. According to HCA
results, groundwater samples were clustered into three groups, including Cluster 1 (72.3%), Cluster
2 (19.7%), and Cluster 3 (7.9%), and the main groundwater type was Ca-HCO3 type. Factor Analysis
(FA) incorporated with Pearson correlation analysis was conducted to determine the main sources
of pollution. Water-rock interactions and agricultural practices were identified as primary pollution
sources in the investigated area.",
publisher = "Belgrade : The Academy of Applied Technical Studies "Belgrade"",
journal = "Conference Proceedings / International Scientific and Professional Conference Politehnika 2023, Belgrade, 15th December 2023",
title = "Multivariate analysis of the Morava river plain groundwater",
pages = "94-89",
url = "https://hdl.handle.net/21.15107/rcub_technorep_7146"
}