Environ Sci Pollut Res
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Fig. 9 Risk assessment of the
median concentrations of the
detected micropollutants in the
Baltic Sea from 2001 to 2014.
Risk quotient <0.1 low risk; 0.1 <
risk quotient < 1 medium risk; 1 <
risk quotient high risk. Data: see
Tab. S14
(German Bight 1.9 ng/L, Baltic Sea 1.1 ng/L) followed by ISO
and CHLO (Fig. 8, Tab. S13). In the group of phenoxyacetic
acid herbicides, significant differences are shown. 2,4-D is the
dominant herbicide (1.8 ng/L) in the Baltic Sea, but concen
trations are low in the German Bight (0.2 ng/L) (Fig. 8, Tab.
S13). In contrast, MCPP concentrations are much higher in
the German Bight than in the Baltic Sea (0.7 ng/L and 0.15 ng/
L, respectively). MCPA and DCPP occurrences are similar in
both seas (Tab. S13). Among the other herbicides, CHL
shows remarkably higher levels in the Baltic Sea, with a me
dian concentration of 3.2 ng/L compared to 0.5 ng/L in the
German Bight (Fig. 8, Tab. S13). For all other herbicides,
higher concentrations were observed in the German Bight
(Tab. S13).
Though the high ATR and SIM concentrations can be ex
plained, by an old burden and the limited water exchange of
the Baltic Sea, the reasons for the other observed differences
in the compound patterns are less distinct. Differences can
arise by the different main sampling periods as the Baltic
Sea was mainly monitored in winter, whereas the German
Bight was sampled during summer (Loewe 2009; Theobald
et al. 2011; Loewe et al. 2013). Flowever, differences in her
bicide application can be a cause as well, due to historic,
economic, or agricultural (crop cultivation) reasons. The low
er general concentrations can be explained by the lack of large
river input, as in the case of the German Bight (e.g., Elbe,
Rhine). Because of this, the much lower concentrations of
BENZTRI and CARB can be explained. Both are discharged
by the Odra, but the main freshwater stream is directed to the
east and does not influence most of the monitoring stations.
For the PFASs, the Odra is no significant input source. As
shown in the “Long-time trends” section, some herbicides in
fact show seasonal dependence and higher concentrations dur
ing the summer, e.g., DIU and 2,4-D. This can explain the
lower values because of leveling effect, due to their
application periods, of the winter sampling campaigns.
Although, this does not explain the observed different pat
terns; high 2,4-D and CEIL, but low TERB.
Ecological evaluation and risk assessment
Even though the observed concentrations of the determined
micropollutants might appear to be relatively low, they do
increase the pollution of the Baltic Sea. As there are not yet
reliable eco-toxicological data available for most of the inves
tigated compounds, it is difficult to assess the ecological ef
fects of the detected micropollutants in the Baltic Sea. Despite
that, a first step was conducted to evaluate the potential risk of
occurring micropollutants. For the risk assessment, a risk quo
tient is calculated as a ratio of the measured environmental
concentration and the predicted no-effect concentration
(PNEC). For each micropollutant, a risk quotient was calcu
lated by either using a known marine water PNEC or a sensi
tive freshwater PNEC (Tab. S14) (Ferrari et al. 2004;
European Commission 2005c, a, b; Munoz et al. 2010;
Mhadhbi et al. 2012; Ccanccapa et al. 2016; NORMAN
Network March 2020).
Most micropollutants show low risk (risk quotient < 0.1)
and do not pose acute toxic effects, except for two
micropollutants (Fig. 9). IRG could potentially pose a medium
risk, whereas for carbendazim (CARBEND), a high risk was
calculated for the Baltic Sea. CARBEND was only measured
since 2013 at a median concentration of 1.0 ng/L (;? = 19). Yet,
the organism Daphnia magna is very sensitive to this fungi
cide, explaining the high-risk quotient (Ccanccapa et al.
2016). Thus, future research programs in the Baltic Sea should
investigate the occurrence and effects of C ARBEND.
Of more importance are potential additive and cumulative
effects by a set of pollutants and especially possible chronic
effects of the pollutant load on aquatic organisms (Magnusson