Poster SETAC 2015 YMA.pptx [Alleen-lezen] · Classification based on Heise and Ahlf (2007) Based on...

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Vibrio fischeri Pseudokirchneriella subcapitata Brachionus calyciflorus Significant positive relation between chemical parameters and ecotoxicity (p<0,05) Benzene, Aliphatic Hydrocarbons C10-C40 Mercury, arsenic, lead, Aliphatic Hydrocarbons C10-C40, PAHs (Acenaphtylene, Acenaphtene, Fluorene) Nonylphenols, HCB, PBDE - Chironomus riparius Heterocypris incongruens Significant positive relation between chemical parameters and ecotoxicity (p<0,05) Mercury, Aliphatic Hydrocarbons C10-C40, PAHs (16 compounds) Nonylphenols, HCB organic carbon, Mercury, PAHs (Acenaphtylene, Acenaphtene, Fluorene) Nonylphenols, HCB, PBDE. Application of complementary methods in chemical and ecotoxicological monitoring of sediments under WFD in Wallonia (Belgium). Marneffe Yves, Matthieu Hémart, Jean-luc Berger and Mathieu Veschkens. ISSeP (Institut Scientifique de Service Public) - Cellule Ecotoxicologie, rue du Chéra, 200, 4000 Liège, Belgium ([email protected]) Materials and methods Acknowledgements : The DGO3 of Wallonia supports the network. We thank J. Vaerewyck and J. Delvaux for the fruitful exchanges. Sediment remains an important matrix for the monitoring of certain substances with significant potential for accumulation to assess long-term impacts of anthropogenic activity and trends. The EQS Directive (2008/105 EC amended by 2013/39/EU) provides that Member States should take measures with the aim of ensuring that existing levels of contamination in sediment will not significantly increase. Chemical analysis of priority pollutants is often not sufficient to explain ecotoxicological effects of these complex environmental samples. Risk assessment based on concentrations, e.g. of priority pollutants in sediments or water, obviously does not reflect the risk of the actual mixture of contaminants, but only the risk of those pre-selected toxicants. Bioassays are therefore useful tools for the evaluation of sediment in which both known and unknown contaminants are present. From 2010 to 2012, 31 monitoring stations included in the surveillance monitoring programme of the WFD in Wallonia (Belgium) were sampled for sediment. Bioassays were carried out to determine the potential impact of contaminated sediment. According to their level of toxicity for the different tests, the sediments of the surveillance monitoring stations were classified from non-toxic to extremely toxic. Priority substances selected as pertinent for a monitoring in sediments and other pertinent chemicals were analyzed in each sample (63 μm fraction). The link between physico-chemical and ecotoxicological parameters was assessed by multivariate statistical analysis. Introduction Results and discussions Conclusion Whole sediment ecotoxicity Sediment ecotoxicitydistribution Pore water ecotoxicity The results of this monitoring show that sediment collected in inland waterways display the higher toxicity. The sediments originating from the Scheldt hydrographic district are also more toxic. These results underline the interest of using a bioassay battery to characterize sediments, each species having a different sensitivity to pollutants in the sediment. They give additional information (for instance for bioavailability) and are a useful tool for assessing risk posed by contaminated sediments. Chironomus riparius, Heterocypris incongruens (Ostracodtoxkit ® ) for whole samples. Vibrio fischeri, Pseudokirchneriella subcapitata and Brachionus calyciflorus bioassays for pore waters. Priority pollutants according to EQS Directive (2008/105/EC amended by 2013/39/EU) – trend analysis on 63μm fraction. 0 2 4 6 8 10 12 14 16 18 20 SED031 SED032 SED033 SED036 SED037 SED039 SED040 SED041 SED042 SED059 SED061 SED063 SED065 SED066 SED067 SED068 SED073 SED074 SED075 SED076 SED019 SVN001 SVN002 SVN005 SVN006 SVN007 SVN009 SVN011 SVN012 SVN013 SVN014 V. fischeri TU20 P. subcapitata TU50 B. calyciflorus TU50 0% 5% 10% 15% 20% 25% 30% 35% 40% SED031 SED032 SED033 SED036 SED037 SED039 SED040 SED041 SED042 SED059 SED061 SED063 SED065 SED066 SED067 SED068 SED073 SED074 SED075 SED076 SED019 SVN001 SVN002 SVN005 SVN006 SVN007 SVN009 SVN011 SVN012 SVN013 SVN014 C. riparius mortality C. riparius growth inhibition 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% SED031 SED032 SED033 SED036 SED037 SED039 SED040 SED041 SED042 SED059 SED061 SED063 SED065 SED066 SED067 SED068 SED073 SED074 SED075 SED076 SED019 SVN001 SVN002 SVN005 SVN006 SVN007 SVN009 SVN011 SVN012 SVN013 SVN014 Ostracod mortality Ostracod growth inhibition Bioassays and chemicalanalysis Sediment ecotoxicityclassification Relationship between priority pollutants and ecotoxicity Statistical analysis showed significant (p<0.05) positive relations between some chemical parameters (hydro- carbons, metals), and the different bioassays (except for Brachionus calyciflorus). As far as pore water is concerned, the most sensitive bioassays are algae (Pseudokirchneriella subcapitata) and bacteria (Vibrio fischeri). For whole sediment Ostracodtoxkit ® test is more sensitive than Chironomus riparius bioassay. It is worth noticing that Ostracod mortality is only significant above 30% (and when it is the case the growth inhibition is not assessed). Inland waterways (SVN) seem to be more contaminated. 243 Classification based on Heise and Ahlf (2007) Based on pore water toxicity, 10/31 sites were not toxic, 19/31 sites showed moderate toxicity and 2/31 displayed high toxicity. Based on whole sediment toxicity, 8/31 sites were not toxic, 2/31 sites showed low toxicity, 18/31 sites displayed moderate toxicity and 3/31 sites high toxicity. Considering both compartments, 3/31 sites were not toxic 12/31 displayed moderate toxicity and 1/31 was highly toxic. The ecotoxicological classification based on Heise and Ahlf (2007) shows that 3/31 sites were “not toxic”, 4/31 sites showed “low toxicity”, 17/31 sites displayed “moderate toxicity”, 6/31 sites were “highly toxic” and only one site belonged to class 5 (“extremely toxic”).

Transcript of Poster SETAC 2015 YMA.pptx [Alleen-lezen] · Classification based on Heise and Ahlf (2007) Based on...

Page 1: Poster SETAC 2015 YMA.pptx [Alleen-lezen] · Classification based on Heise and Ahlf (2007) Based on pore water toxicity, 10/31 sites were not toxic, 19/31 sites showed moderate toxicity

Vibrio fischeriPseudokirchneriella

subcapitata

Brachionus

calyciflorus

Significant positive

relation between

chemical parameters and

ecotoxicity (p<0,05)

Benzene, Aliphatic

Hydrocarbons C10-C40

Mercury, arsenic, lead,

Aliphatic Hydrocarbons

C10-C40, PAHs

(Acenaphtylene,

Acenaphtene, Fluorene)

Nonylphenols, HCB, PBDE

-

Chironomus

riparius

Heterocypris

incongruens

Significant positive

relation between

chemical parameters and

ecotoxicity (p<0,05)

Mercury, Aliphatic

Hydrocarbons C10-C40,

PAHs (16 compounds)

Nonylphenols, HCB

organic carbon, Mercury,

PAHs (Acenaphtylene,

Acenaphtene, Fluorene)

Nonylphenols, HCB, PBDE.

Application of complementary methods in chemical and ecotoxicological monitoring of sediments under WFD in Wallonia (Belgium).

Marneffe Yves, Matthieu Hémart, Jean-luc Berger and Mathieu Veschkens.

ISSeP (Institut Scientifique de Service Public) - Cellule Ecotoxicologie, rue du Chéra, 200, 4000 Liège, Belgium ([email protected])

Materials and methods

Acknowledgements : The DGO3 of Wallonia supports the network. We thank J. Vaerewyck and J. Delvaux for the fruitful exchanges.

Sediment remains an important matrix for the monitoring of certain substances with significant potential for accumulation to assess long-term impacts ofanthropogenic activity and trends. The EQS Directive (2008/105 EC amended by 2013/39/EU) provides that Member States should take measures with the aim ofensuring that existing levels of contamination in sediment will not significantly increase. Chemical analysis of priority pollutants is often not sufficient to explainecotoxicological effects of these complex environmental samples. Risk assessment based on concentrations, e.g. of priority pollutants in sediments or water,obviously does not reflect the risk of the actual mixture of contaminants, but only the risk of those pre-selected toxicants. Bioassays are therefore useful tools forthe evaluation of sediment in which both known and unknown contaminants are present.

From 2010 to 2012, 31 monitoring stations included in the surveillancemonitoring programme of the WFD in Wallonia (Belgium) were sampled forsediment. Bioassays were carried out to determine the potential impact ofcontaminated sediment. According to their level of toxicity for the differenttests, the sediments of the surveillance monitoring stations were classified fromnon-toxic to extremely toxic. Priority substances selected as pertinent for amonitoring in sediments and other pertinent chemicals were analyzed in eachsample (63 µm fraction). The link between physico-chemical andecotoxicological parameters was assessed by multivariate statistical analysis.

Introduction

Results and discussions

Conclusion

Whole sediment ecotoxicity

Sediment ecotoxicity distribution

Pore water ecotoxicity

The results of this monitoring show that sediment collected in inland waterways display the highertoxicity. The sediments originating from the Scheldt hydrographic district are also more toxic. Theseresults underline the interest of using a bioassay battery to characterize sediments, each specieshaving a different sensitivity to pollutants in the sediment. They give additional information (forinstance for bioavailability) and are a useful tool for assessing risk posed by contaminated sediments.

Chironomus riparius, Heterocypris incongruens(Ostracodtoxkit®) for whole samples.

Vibrio fischeri, Pseudokirchneriellasubcapitata and Brachionus calyciflorusbioassays for pore waters.

Priority pollutants according to EQS Directive (2008/105/EC amended by 2013/39/EU) –

trend analysis on 63µm fraction.

0

2

4

6

8

10

12

14

16

18

20

SE

D0

31

SE

D0

32

SE

D0

33

SE

D0

36

SE

D0

37

SE

D0

39

SE

D0

40

SE

D0

41

SE

D0

42

SE

D0

59

SE

D0

61

SE

D0

63

SE

D0

65

SE

D0

66

SE

D0

67

SE

D0

68

SE

D0

73

SE

D0

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SE

D0

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SE

D0

76

SE

D0

19

SV

N0

01

SV

N0

02

SV

N0

05

SV

N0

06

SV

N0

07

SV

N0

09

SV

N0

11

SV

N0

12

SV

N0

13

SV

N0

14

V. fischeri TU20

P. subcapitata TU50

B. calyciflorus TU50

0%

5%

10%

15%

20%

25%

30%

35%

40%

SE

D0

31

SE

D0

32

SE

D0

33

SE

D0

36

SE

D0

37

SE

D0

39

SE

D0

40

SE

D0

41

SE

D0

42

SE

D0

59

SE

D0

61

SE

D0

63

SE

D0

65

SE

D0

66

SE

D0

67

SE

D0

68

SE

D0

73

SE

D0

74

SE

D0

75

SE

D0

76

SE

D0

19

SV

N0

01

SV

N0

02

SV

N0

05

SV

N0

06

SV

N0

07

SV

N0

09

SV

N0

11

SV

N0

12

SV

N0

13

SV

N0

14

C. riparius

mortality

C. riparius

growth

inhibition

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

SE

D0

31

SE

D0

32

SE

D0

33

SE

D0

36

SE

D0

37

SE

D0

39

SE

D0

40

SE

D0

41

SE

D0

42

SE

D0

59

SE

D0

61

SE

D0

63

SE

D0

65

SE

D0

66

SE

D0

67

SE

D0

68

SE

D0

73

SE

D0

74

SE

D0

75

SE

D0

76

SE

D0

19

SV

N0

01

SV

N0

02

SV

N0

05

SV

N0

06

SV

N0

07

SV

N0

09

SV

N0

11

SV

N0

12

SV

N0

13

SV

N0

14

Ostracod

mortality

Ostracod growth

inhibition

Bioassays and chemical analysis

Sediment ecotoxicity classification

Relationship between priority pollutants and ecotoxicity

Statistical analysis showed

significant (p<0.05) positive

relations between some

chemical parameters (hydro-

carbons, metals), and the

different bioassays (except for

Brachionus calyciflorus).

As far as pore water is concerned, the most sensitive bioassays are algae (Pseudokirchneriellasubcapitata) and bacteria (Vibrio fischeri). For whole sediment Ostracodtoxkit® test is more sensitive

than Chironomus riparius bioassay. It is worth noticing that Ostracod mortality is only significant

above 30% (and when it is the case the growth inhibition is not assessed). Inland waterways (SVN)

seem to be more contaminated.

243

Classification based on Heise and Ahlf (2007)

Based on pore water toxicity, 10/31 sites were not toxic, 19/31 sites showed

moderate toxicity and 2/31 displayed high toxicity.

Based on whole sediment toxicity, 8/31 sites were not toxic, 2/31 sites showed

low toxicity, 18/31 sites displayed moderate toxicity and 3/31 sites high toxicity.

Considering both compartments, 3/31 sites were not toxic 12/31 displayed

moderate toxicity and 1/31 was highly toxic.

The ecotoxicological classification based on Heise and Ahlf (2007) shows that

3/31 sites were “not toxic”, 4/31 sites showed “low toxicity”, 17/31 sites

displayed “moderate toxicity”, 6/31 sites were “highly toxic” and only one site

belonged to class 5 (“extremely toxic”).