Trace metal pollution poses a serious threat to the aquatic
ecosystem.
Therefore, characterizing the long-term environmental behavior of
trace metals and their driving forces is essential for guiding water
quality management. Based on a long-term data set from 1990 to 2019,
this study systematically conducted the spatiotemporal trend assessment,
influential factor analysis, and source apportionment of trace elements
in the rivers of the German Elbe River basin. Results show that the
mean concentrations of the given elements in the last 30 years were
found in the order of Fe (1179.5 ± 1221 μg·L–1) ≫ Mn (209.6 ± 181.7 μg·L–1) ≫ Zn (52.5 ± 166.2 μg·L–1) ≫ Cu (5.3 ± 5.5 μg·L–1) > Ni (4.4 ± 8.3 μg·L–1) >
Pb
(3.3 ± 4.4 μg·L–1) > As (2.9
±
2.3 μg·L–1) > Cr (1.8 ± 2.4 μg·L–1) ≫ Cd (0.3 ± 1.1 μg·L–1) > Hg (0.05 ± 0.12 μg·L–1). Wavelet analyses show that river flow regimes and flooding dominated
the periodic variations in metal pollution. Bayesian network suggests
that the hydrochemical factors (i.e., TOC, TP, TN, pH, and EC) chemically
influenced the metal mobility between water and sediments. Furthermore,
the source apportionment computed by the Bayesian multivariate receptor
model shows that the given element contamination was typically attributed
to the geogenic sources (17.5, 95% confidence interval: 13.1–17.6%),
urban and industrial sources (22.1, 18.0–27.2%), arable soil
erosion (24.2, 16.4–31.5%), and historical anthropogenic activities
(35.2, 32.8–43.3%). The results provided herein reveal that
both the hydrochemical influence on metal mobility and the chronic
disturbance from anthropogenic activities caused the long-term variation
in trace metal pollution.