EN PL
PRACA ORYGINALNA
Seasonal Variations and Evaluation of Drinking Water Quality in Lalapaşa District (Edirne/Türkiye) Using Some Ecological – Statistical Indicators
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Więcej
Ukryj
1
Trakya University
 
2
Peshawar University
 
 
Data nadesłania: 23-05-2025
 
 
Data ostatniej rewizji: 16-06-2025
 
 
Data akceptacji: 28-06-2025
 
 
Data publikacji: 24-09-2025
 
 
Autor do korespondencji
cem tokatlı   

Trakya University
 
 
Acta Sci. Pol. Formatio Circumiectus 2025;24(2)
 
INFORMACJE KLUCZOWE
  • Lalapaşa groundwater is vulnerable to agricultural contamination
  • Factor Analysis found Salinity, Agriculture, and Oxygen explain 74% variance
  • Elevated nitrate and phosphate, but WQI stays within limits
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Aim of the study:
Groundwater is a primary source of accessible freshwater and is particularly susceptible to contamination. Its importance has increasingly come into focus, elevating the global priority of ensuring clean and sustainable drinking water. The Thrace Region, renowned for its fertile agricultural lands, faces environmental pressures as agricultural and livestock activities pose potential risks to local freshwater quality. This study aimed to assess the seasonal variation in drinking water quality in the Lalapaşa District of Edirne Province, within the Thrace Region, by analysing a range of physicochemical parameters.

Material and methods:
A total of 28 drinking water samples were collected from various villages in Lalapaşa during the summer, autumn, and winter seasons of 2020 – 2021. Each sample was analysed for twelve parameters: dissolved oxygen (DO), oxygen saturation (O₂%), pH, electrical conductivity (EC), total dissolved solids (TDS), suspended solids (SS), salinity, turbidity, nitrate (NO₃⁻), nitrite (NO₂⁻), phosphate (PO₄³⁻), and sulfate (SO₄²⁻). The results were evaluated against national and international drinking water quality standards. Furthermore, ecological assessment was conduct-ed using the Water Quality Index (WQI), and statistical analyses were carried out using Factor Analysis (FA) and the Pearson Correlation Index (PCI).

Results and conclusions:
FA revealed three major factors—“Salinity Factor,” “Agricultural Factor,” and “Oxygen Fac-tor”—which together explained 74% of the total variance. Despite elevated concentrations of nitrogen and phosphorus in some samples, WQI values at all stations remained within acceptable limits. These findings highlight the essential role of sustainable polyculture agricultural practices in protecting the region’s groundwater resources.
ISSN:1644-0765
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