Member State report / Art8-2024 / 2024 / D9 / Italy / Mediterranean: Ionian Sea & Central Mediterranean Sea

Report type Member State report to Commission
MSFD Article Art8
Report due 2024-10-15
GES Descriptor D9 Contaminants in seafood
Member State Italy
Region/subregion Mediterranean: Ionian Sea & Central Mediterranean Sea
Report date 2025-09-11 10:38:38

MIC-IT-MS-ISCMS

Regional assessment area
Component MRUs
GES component
D9
D9
D9
D9
D9
D9
D9
D9
D9
D9
D9
D9
D9
Feature
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Contaminants - in seafood
Element
Benzo(a)pyrene
Cadmium and its compounds
Cadmium and its compounds
Cadmium and its compounds
Lead and its compounds
Lead and its compounds
Lead and its compounds
Mercury and its compounds
Mercury and its compounds
Non-dioxin like PCB (sum of 6 PCB: 28, 52, 101, 138, 153 and 180)
Sum of benz (a) pyrene, benz (a) anthracene, benzo (b) fluoranthene and chrysene
Sum of dioxins (WHO-PCDD/F-PCB-TEQ)
Sum of dioxins (WHO-PCDD/F-TEQ)
Element extent
Trend element
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Element 2
Bivalvia
Cd 3.2.10 under the law Reg.1881/2006/EC
Cd 3.2.5 under the law Reg.1881/2006/EC
Cd 3.2.9 under the law Reg.1881/2006/EC
Lead 3.1.5 under the law Reg.1881/2006/EC
Lead 3.1.6 under the law Reg.1881/2006/EC
Lead 3.1.7 under the law Reg.1881/2006/EC
Hg 3.3.1 under the law Reg.1881/2006/EC
Hg 3.3.2 under the law Reg.1881/2006/EC
Sum of PCB28, PCB52, PCB101, PCB138, PCB153 and PCB180 (ICES – 6) 5.3 under the law Reg.1881/2006/EC
Bivalvia
PCDD+PCDF+PCB-DL 5.3 under the law Reg.1881/2006/EC
PCDD+PCDF 5.3 under the law Reg.1881/2006/EC
Element source
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Foodstuffs
Criterion
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
D9C1
Parameter
Concentration in biota
Concentration in biota
CONC-B-Muscle
CONC-B-Other
CONC-B-Muscle
CONC-B-Muscle
CONC-B-Muscle
Concentration in biota
Concentration in biota
Concentration in biota
Concentration in biota
Concentration in biota
Concentration in biota
Threshold value upper
5.0
1.0
0.05
1.0
0.3
0.5
1.5
0.5
1.0
75.0
30.0
6.5
3.5
Threshold value lower
Threshold value operator
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
Threshold qualitative
Threshold value source
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Regulation on contaminants in foodstuffs (EC 1881/2006)
Value achieved upper
1.1
0.798
0.016
0.37
0.149
0.0577
0.713
0.7995
0.404
6.964
0.6
161.226
0.051
Value achieved lower
0.0373
0.001
0.001
0.005
0.005
0.0025
0.006
0.00015
0.045
0.19
0.00933
0.007
Value unit
microgram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
milligram per kilogram of wet weight
ng/g ww
microgram per kilogram of wet weight
pg TEQ/g ww
pg TEQ/g ww
Proportion threshold value
70.0
70.0
70.0
70.0
70.0
70.0
70.0
70.0
70.0
70.0
70.0
70.0
70.0
Proportion value achieved
100.0
100.0
100.0
100.0
100.0
100.0
100.0
99.4
100.0
100.0
100.0
95.9
100.0
Proportion threshold value unit
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
% of samples achieving threshold value
Trend parameter
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Parameter achieved
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Description parameter
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, 100% of samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, 99,4% samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, 96% samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieved the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
Related indicator
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
  • IT-MS-D9
Criteria status
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Description criteria
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.
Element status
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Description element
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, almost 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, almost 96% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
Source assessment feature
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
  • Foodstuffs
Reporting method feature
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Trend feature
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Integration rule type parameter
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Integration rule description parameter
Integration rule type criteria
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Not relevant
Integration rule description criteria
GES extent threshold
80.00
80.00
80.00
80.00
80.00
80.00
80.00
80.00
80.00
80.00
80.00
80.00
80.00
GES extent achieved
GES extent unit
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
Proportion of substances in good status
GES achieved
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Description overall status
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. at least 80% of the elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in good status if at least 80% of the elements are in good status. In the ISCMS MRU, the percentage of MRU area that is covered by data is not sufficient to assess the status of any element. Therefore, the feature status cannot be assessed either. However, the threshold value of every element is achieved in most samples, with very few samples showing exceedances.
Assessments period
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
Related pressures
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of litter (solid waste matter, including micro-sized litter)
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
Related targets
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
  • MIC-IT-D09-T001
Test TV
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
No
Yes
Test results
False
False
False
False
False
False
False
False
False
False
False
False
False