Spatio-Temporal Variability of Water Quality in the Middle Danube-The Influence of Air Temperature and Discharge

被引:0
|
作者
Grzywna, Antoni [1 ]
Grabic, Jasna [2 ]
Rozanska-Boczula, Monika [3 ]
Vranesevic, Milica [2 ]
机构
[1] Univ Life Sci Lublin, Fac Prod Engn, Dept Environm Engn & Geodesy, PL-20950 Lublin, Poland
[2] Univ Novi Sad, Fac Agr, Dept Water Management, Novi Sad 21000, Serbia
[3] Univ Life Sci Lublin, Fac Prod Engn, Dept Appl Math & Comp Sci, Lublin, Poland
关键词
ecological status; climate factors; regression; multivariate analysis; the Danube River; RIVER DANUBE; MANAGEMENT;
D O I
10.3390/w16152081
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Large watercourses are characterised by significant spatial and temporal changes in water quality due to both natural and anthropogenic impacts. The paper analyses changes in the Danube's spatial and seasonal water quality in its middle part at five monitoring stations for the period 2018-2022. Examined water quality parameters include oxygen saturation (Os), ammonium (N-NH4), pH, 5-day biochemical oxygen demand (BOD), nitrate nitrogen (N-NO3), orthophosphates (P-PO4), suspended solids (SS), electrical conductivity (EC), and water temperature (WT). Furthermore, the analysis took into account the influence of two additional factors: air temperature (AT) and discharge (D). Throughout the entire period under study, all parameters were characterised by low concentration values, which met the environmental objective of good ecological status. The use of multivariate statistical methods allowed for the identification of EC, N-NH4, WT, Os, SS, and N-NO3 as determining the greatest spatio-seasonal variability of water quality in a selected section of the Danube. Regression models determined WT, EC and nitrogen nitrate changes as depending on AT, flow, and exposure time. Knowing models not only gives a better understanding of the dynamics of changes in water quality in the stretch of the Danube under study but potentially allows the prediction of these parameters based on easily measurable environmental variables.
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页数:16
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