Member State report / Art8-2024 / 2024 / D8 / Italy / Mediterranean: Ionian Sea & Central Mediterranean Sea

Report type Member State report to Commission
MSFD Article Art8
Report due 2024-10-15
GES Descriptor D8 Contaminants
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
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
D8
Feature
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
Contaminants - UPBT substances
PresEnvAdvEffectsSppHab
PresEnvAdvEffectsSppHab
PresEnvAdvEffectsSppHab
PresEnvAdvEffectsSppHab
Acute pollution events
Element
BTEX
Dioxins and Furans
Dioxins and Furans
HOCs
HOCs
HOCs
HOCs
Metals
Metals
Metals
Metals
Organotin
Organotin
PAH
PAH
PAH
PAH
PAH
PAH
PBDE
PFOS
PFOS
PFOS
Pesticides
Phenols
Phthalates
Mullus barbatus
Mullus barbatus
Mullus barbatus
Mullus barbatus
Element extent
Trend element
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Element 2
Crustaceans
Mollusks
Demersal fish
Demersal fish
Crustaceans
Mollusks
Demersal fish
Demersal fish
Element source
UNEP/MAP
UNEP/MAP
UNEP/MAP
UNEP/MAP
Criterion
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C1
D8C2
D8C2
D8C2
D8C2
D8C3
Parameter
Concentration in water
CONC-B-Other
CONC-B-Other
CONC-B-Muscle
CONC-S-2000
Concentration in water
CONC-B-Muscle
CONC-B-Muscle
CONC-S-2000
Concentration in water
CONC-B-Muscle
CONC-S-2000
Concentration in water
CONC-B-Other
CONC-B-Other
CONC-S-2000
Concentration in water
CONC-B-Other
CONC-B-Other
CONC-B-Muscle
CONC-B-Muscle
Concentration in water
CONC-B-Muscle
Concentration in water
Concentration in water
Concentration in water
AChE-brain
EROD-micr
LMS-ESO
MN-blood
Mass
Threshold value upper
67.4
81.11
22.31
0.79
50.0
Threshold value lower
Threshold value operator
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
<=
>=
<=
>=
<=
<
Threshold qualitative
Threshold value source
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
National
International Maritime Organisation (MARPOL, Ballast Water Convention, Antifouling Convention)
Value achieved upper
-0.6
0.2048208
-0.941538461538461
0.0748264615384617
246.7
-0.088
0.0748264615384617
46.77
742.8
15.9076923076923
46.77
16.08
14.76
-0.813266666666667
-0.44
667.0
2.74126984126984
-0.44
-0.813266666666667
42.1411764705882
-0.435164835164835
-0.923076923076923
-0.435164835164835
-0.77
4.8
-0.84
123.86
125.9
40.0
2.25
Value achieved lower
-0.78
-1.2
-0.941538461538461
-1.176
-1.09945
-1.05
-1.176
-1.17
-0.68
-1.09936046511628
-1.17
-1.19988
-1.14
-1.09819111111111
-1.09945
-1.09998428571429
-1.0989
-1.09945
-1.09819111111111
-1.2
-1.19340659340659
-1.06153846153846
-1.19340659340659
-1.0945
-1.093125
-1.02
44.78
19.85
10.0
Value unit
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
Adimensional
nmol/min/mg protein
pmol/min/mg protein
min
tonne
Proportion threshold value
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
60.0
Proportion value achieved
18.75
12.5
18.75
25.0
Proportion threshold value unit
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
% area of MRU achieving threshold value
Trend parameter
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Improving
Parameter achieved
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Yes
Description parameter
The element “BTEX” for the water matrix includes Benzene, Toluene, Xilene, 3-Clorotoluene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for BTEX in the ISCMS water is 20,3%, which is not sufficent to evaluate GES for this element. 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).
An index for """"Dioxins and furans"""" (PCDD+PCDF+DL-PCB) in mollusks and crustaceans was calculated based on the differences between concentration and EQS set by Dir 2013/39/UE and D.lgs 172/2015. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The ISCMS MRU area covered by data for Dioxins and furans in crustaceans is 16%, which is not sufficient to assess GES. However, 100% of the investigated area is in good state. 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).
An index for """"Dioxins and furans"""" (PCDD+PCDF+DL-PCB) in mollusks and crustaceans was calculated based on the differences between concentration and EQS set by Dir 2013/39/UE and D.lgs 172/2015. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for Dioxins and furans in ISCMS mollusks is not sufficent to evaluate GES for this element. 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).
The element “HOCs” for demersal fish includes Total DDT, Dicofol, Hexabromocyclododecanes, HCB, HCBD, Heptachlor and PCDD+PDCF+DL-PCB sum, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for HOCs in ISCMS demersal fish is 32,4%, which is not sufficent to evaluate GES for this element. However, 91,7% of the assessed area is in good state and poor+bad state is 0% of the assessed area. 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).
The element “HOCs” for the sediment matrix includes Aldrin, Dieldrin, α-HCH, β-HCH, γ-HCH, DDD, DDE, DDT, HCB, total PCBs, PCDD+PDCF+DL-PCB sum, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for HOCs in the ISCMS sediment is 46,9%, which is not sufficent to evaluate GES for this element. However, 93,3% of the assessed area is in good state and poor+bad state is 0% of the assessed area. 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).
The element “HOCs” for the water matrix includes Trichloromethane, Dichloroethane_1_2, Dichloromethane, Alachlor, Cyclodienes ('drins sum), Atrazine, HCH, p_p_DDT, total DDT, Trichlorobenzene, Trichloroethylene, Tetrachloroethylene, Pentachlorobenzene, C10_13_Chloroalkanes, Heptachlor, Simazine, Carbon_tetrachloride, Hexachlorobenzene, Hexachlorobutadiene, Chlorobenzene, Trichloroethane_1_1_1, Dichlorobenzene_1_2, Dichlorobenzene_1_3, Dichlorobenzene_1_4, Chlorotoluene_2, Chlorotoluene_4, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for HOCs in the ISCMS water is 20,3%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
The element “HOCs” for demersal fish includes Total DDT, Dicofol, Hexabromocyclododecanes, HCB, HCBD, Heptachlor and PCDD+PDCF+DL-PCB sum, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for HOCs in ISCMS demersal fish is 32,4%, which is not sufficent to evaluate GES for this element. However, 91,7% of the assessed area is in good state and poor+bad state is 0% of the assessed area. 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).
The element “metals” for demersal fish corresponds to Hg, for which an EQS is set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for metals in WMS demersal fish is 32,4%, which is not sufficent to evaluate GES for this element. However, 0% of the assessed area is in good state and poor+bad state is 92% of the assessed area. 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).
The element “metals” for the sediment matrix includes As, Cd, Cr, Pb, Hg, Cr (IV), for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for metals in the ISCMS sediment is 46,9%, which is not sufficent to evaluate GES for this element. However, 83,3% of the assessed area is in good state and poor+bad state is 0% of the assessed area. 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).
The element “metals” for the water matrix includes As, Cd, Cr, Ni, Pb, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for metals in the ISCMS water is 20,3%, which is not sufficent to evaluate GES for this element. However, 92,3% of the assessed area is in good state and poor+bad state is 7,7% of the assessed area. 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).
The element “metals” for demersal fish corresponds to Hg, for which an EQS is set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for metals in WMS demersal fish is 32,4%, which is not sufficent to evaluate GES for this element. However, 0% of the assessed area is in good state and poor+bad state is 92% of the assessed area. 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).
The element “ORGANOTIN” for the sediment matrix corresponds to the Tributyltin cation, for which EQS is set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area.The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for ORGANOTIN in the ISCMS sediment is 46,9%, which is not sufficent to evaluate GES for this element. However, 90% of the assessed area is in good state and poor+bad state is 0% of the assessed area. 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).
The element “ORGANOTIN” for the water matrix corresponds to the Tributyltin cation, for which EQS is set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for organotin in the ISCMS water is 4,7%, which is not sufficent to evaluate GES for this element. 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).
The element “PAH” for molluscks and crustaceans includes Benzo(a)pyrene and Fluoranthene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PAH in ISCMS mollusks is not sufficent to evaluate GES for this element. 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).
The element “PAH” for molluscks and crustaceans includes Benzo(a)pyrene and Fluoranthene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The ISCMS MRU area covered by data for PAHs in crustaceans is 24%, which is not sufficient to assess GES. However, 100% of the investigated area is in good state. 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).
The element “PAH” for the sediment matrix includes Anthracene, Benzo(a)pyrene, Benzo(b)fluoranthene, Benzo(k)fluoranthene, Benzo(ghi)perylene, Indeno(123-cd)pyrene, Naphtalene, Fluoranthene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PAHs in the ISCMS sediment is 46,9%, which is not sufficent to evaluate GES for this element. However, 96,7% of the assessed area is in good state and poor+bad state is 3,3% of the assessed area. 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).
The element “PAH” for the water matrix includes Anthracene, Benzo_a_pyrene, Fluoranthene, Naphtalene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PAHs in the ISCMS water is 20,3%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
The element “PAH” for molluscks and crustaceans includes Benzo(a)pyrene and Fluoranthene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The ISCMS MRU area covered by data for PAHs in crustaceans is 24%, which is not sufficient to assess GES. However, 100% of the investigated area is in good state. 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).
The element “PAH” for molluscks and crustaceans includes Benzo(a)pyrene and Fluoranthene, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PAH in ISCMS mollusks is not sufficent to evaluate GES for this element. 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).
The element “PBDE” for demersal fish corresponds the sum of BDE-28, BDE-47, BDE-99, BDE-100, BDE-153, BDE-154. For this sum an EQS is set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area.The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PBDE in ISCMS demersal fish is 13,5%, which is not sufficent to evaluate GES for this element. However, 60% of the assessed area is in good state and poor+bad state is 20% of the assessed area. 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).
An index for PFOS in fish was calculated based on the differences between concentration and EQS set by Dir 2013/39/UE and D.lgs 172/2015. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PFOS in ISCMS demersal fish is 27%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
An index for the element PFOS was calculated based on the difference between concentration and EQS set by Dir 2013/39/UE and D.lgs 172/2015. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PFOS in the ISCMS water is 7,8,%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
An index for PFOS in fish was calculated based on the differences between concentration and EQS set by Dir 2013/39/UE and D.lgs 172/2015. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for PFOS in ISCMS demersal fish is 27%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
The element “PESTICIDES” for the water matrix includes Chlorfenvinphos, Chlorpyriphos, Diuron, Isoproturon, Endosulfan, Trifluralin, Dicofol, Quinoxyfen, aclonifen, bifenox, cybutryne, Cypermethrin, terbutryn, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for Pesticides in the ISCMS water is 20,3%, which is not sufficent to evaluate GES for this element. However, 69% of the assessed area is in good state (the remaining 31% of the assessed area cannot be evaluated because the number of contaminants analysed in the Pesticides category is inadequate). 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).
The element “PHENOLS” for the water matrix includes Pentachlorophenol, Nonylphenol_4, Octylphenol, for which EQS are set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS of each contaminant. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for Phenols in the ISCMS water is 18,8,%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
The element “PHTHALATES” for the water matrix corresponds to the Di(2-Ethylhexyl)Phthalate (DEHP), for which EQS is set by Dir 2013/39/UE and D.lgs 172/2015. An index for the element was calculated based on the differences between concentration and EQS. The value 0 of this index was taken as threshold for GES evaluation. In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. The element index is integrated over the MRU area and the MRU is considered to be in GES for the element if two conditions are fulfilled: 60% of the assessed area has an index classified as good, while, at the same time, no more than 25% of the assessed area is not in a good state. The MRU area covered by data for Phthalates in the ISCMS water is 4,7,%, which is not sufficent to evaluate GES for this element. However, 100% of the assessed area is in good state. 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).
Areas with depths exceeding 500 m have been excluded in the calculation of the percentage assessable MRU areas, because Mullus barbatus (corresponding to the """"Element"""") cannot be found in those deeper regions (in accordance with relevant scientific literature). Therefore, the """"Proportion Threshold Value"""" and the """"ProportionValueAchieved"""" are referred only to the """"sampleable area"""" of the MRU (and not to the entire MRU), corresponding to the area within 500 m of depth. The sampleable area considered for D8C2 is 100% of the MRU area for AS, 41% for ISCMS and 56% for WMS. In order to assess GES, the MRU area covered by data should be at least 50% of the MRU sampleable area. The """"ParameterAchieved"""" is """"Unknown"""", because the sampled area is less than 50% of MRU sampleable area. The """"TrendParameter"""" is set as """"Unknown"""", because D8C2 was not assessed in the previous 6-years reporting period.
Areas with depths exceeding 500 m have been excluded in the calculation of the percentage assessable MRU areas, because Mullus barbatus (corresponding to the """"Element"""") cannot be found in those deeper regions (in accordance with relevant scientific literature). Therefore, the """"Proportion Threshold Value"""" and the """"ProportionValueAchieved"""" are referred only to the """"sampleable area"""" of the MRU (and not to the entire MRU), corresponding to the area within 500 m of depth. The sampleable area considered for D8C2 is 100% of the MRU area for AS, 41% for ISCMS and 56% for WMS. In order to assess GES, the MRU area covered by data should be at least 50% of the MRU sampleable area. The """"ParameterAchieved"""" is """"Unknown"""", because the sampled area is less than 50% of MRU sampleable area. The """"TrendParameter"""" is set as """"Unknown"""", because D8C2 was not assessed in the previous 6-years reporting period.
Areas with depths exceeding 500 m have been excluded in the calculation of the percentage assessable MRU areas, because Mullus barbatus (corresponding to the """"Element"""") cannot be found in those deeper regions (in accordance with relevant scientific literature). Therefore, the """"Proportion Threshold Value"""" and the """"ProportionValueAchieved"""" are referred only to the """"sampleable area"""" of the MRU (and not to the entire MRU), corresponding to the area within 500 m of depth. The sampleable area considered for D8C2 is 100% of the MRU area for AS, 41% for ISCMS and 56% for WMS. In order to assess GES, the MRU area covered by data should be at least 50% of the MRU sampleable area. The """"ParameterAchieved"""" is """"Unknown"""", because the sampled area is less than 50% of MRU sampleable area. The """"TrendParameter"""" is set as """"Unknown"""", because D8C2 was not assessed in the previous 6-years reporting period.
Areas with depths exceeding 500 m have been excluded in the calculation of the percentage assessable MRU areas, because Mullus barbatus (corresponding to the """"Element"""") cannot be found in those deeper regions (in accordance with relevant scientific literature). Therefore, the """"Proportion Threshold Value"""" and the """"ProportionValueAchieved"""" are referred only to the """"sampleable area"""" of the MRU (and not to the entire MRU), corresponding to the area within 500 m of depth. The sampleable area considered for D8C2 is 100% of the MRU area for AS, 41% for ISCMS and 56% for WMS. In order to assess GES, the MRU area covered by data should be at least 50% of the MRU sampleable area. The """"ParameterAchieved"""" is """"Unknown"""", because the sampled area is less than 50% of MRU sampleable area. The """"TrendParameter"""" is set as """"Unknown"""", because D8C2 was not assessed in the previous 6-years reporting period.
The Annual Summary Report of Incidental Spillages, prepared pursuant to the IMO MEPC/Circ.318 circular of June 26, 1996, in reference to Article 11 of Protocol I and Article 12 MARPOL 73/78, reports one Acute Pollution Event in 2018 exceeding 50 tons. However, this event occurred outside of the Marine Reporting Units (MRUs) and is therefore not considered for MSFD Reporting purposes.
Related indicator
  • IT-MS-D8C1-W
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-S
  • IT-MS-D8C1-W
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-S
  • IT-MS-D8C1-W
  • IT-MS-D8C1-B
  • IT-MS-D8C1-S
  • IT-MS-D8C1-W
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-S
  • IT-MS-D8C1-W
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-B
  • IT-MS-D8C1-W
  • IT-MS-D8C1-B
  • IT-MS-D8C1-W
  • IT-MS-D8C1-W
  • IT-MS-D8C1-W
  • IT-MS-D8C2
  • IT-MS-D8C2
  • IT-MS-D8C2
  • IT-MS-D8C2
  • IT-MS-D8C3
Criteria status
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Good
Description criteria
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the criteria status across the MRU cannot be assessed.
The CriteriaStatus value is set as """"unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved
The CriteriaStatus value is set as """"unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved
The CriteriaStatus value is set as """"unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved
The CriteriaStatus value is set as """"unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved
Element status
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Description element
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The MRU area covered by data is less than 50% of total MRU area. Therefore, the element status across the MRU cannot be assessed.
The ElementStatus is set as """"Unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved. The TrendElement is set as """"Unknown"""", because the criteria D8C2 was not assessed in the previous 6-years reporting period.
The ElementStatus is set as """"Unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved. The TrendElement is set as """"Unknown"""", because the criteria D8C2 was not assessed in the previous 6-years reporting period.
The ElementStatus is set as """"Unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved. The TrendElement is set as """"Unknown"""", because the criteria D8C2 was not assessed in the previous 6-years reporting period.
The ElementStatus is set as """"Unknown"""", because the minimum assessment area (50% of the sampleable MRU area) was not achieved. The TrendElement is set as """"Unknown"""", because the criteria D8C2 was not assessed in the previous 6-years reporting period.
Source assessment feature
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
  • National
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
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
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
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Improving
Integration rule type parameter
MULTIMETRIC
MULTIMETRIC
MULTIMETRIC
MULTIMETRIC
Not relevant
Integration rule description parameter
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The integration between water and sediment matrix was done considering sediment as the predominant matrix in determination of the environmental status assessment. Indeed, water is not a conservative matrix and therefore it is less useful to assess the marine environmental status.
The Categorized Biological Effect Index (CBEI) is an integrative weighted index, developed at national level. It synthetizes data from multiple levels of biological responses, with the goal of deriving a single index that reflects the overall biological effects of environmental contaminants on the target species. The CBEI is based on comparing, for each biomarker, the measured values to their respective national threshold values (IT-BAC). The index takes also into account the magnitude of the difference between meaured and threshold values, as well as the """"weight"""" that each biological response (biomarker) has in defining the overall health status of the species. The output of CBEI is expressed by four categories: GOOD, MODERATE, POOR and BAD, according to the health status measured in the target species.
The Categorized Biological Effect Index (CBEI) is an integrative weighted index, developed at national level. It synthetizes data from multiple levels of biological responses, with the goal of deriving a single index that reflects the overall biological effects of environmental contaminants on the target species. The CBEI is based on comparing, for each biomarker, the measured values to their respective national threshold values (IT-BAC). The index takes also into account the magnitude of the difference between meaured and threshold values, as well as the """"weight"""" that each biological response (biomarker) has in defining the overall health status of the species. The output of CBEI is expressed by four categories: GOOD, MODERATE, POOR and BAD, according to the health status measured in the target species.
The Categorized Biological Effect Index (CBEI) is an integrative weighted index, developed at national level. It synthetizes data from multiple levels of biological responses, with the goal of deriving a single index that reflects the overall biological effects of environmental contaminants on the target species. The CBEI is based on comparing, for each biomarker, the measured values to their respective national threshold values (IT-BAC). The index takes also into account the magnitude of the difference between meaured and threshold values, as well as the """"weight"""" that each biological response (biomarker) has in defining the overall health status of the species. The output of CBEI is expressed by four categories: GOOD, MODERATE, POOR and BAD, according to the health status measured in the target species.
The Categorized Biological Effect Index (CBEI) is an integrative weighted index, developed at national level. It synthetizes data from multiple levels of biological responses, with the goal of deriving a single index that reflects the overall biological effects of environmental contaminants on the target species. The CBEI is based on comparing, for each biomarker, the measured values to their respective national threshold values (IT-BAC). The index takes also into account the magnitude of the difference between meaured and threshold values, as well as the """"weight"""" that each biological response (biomarker) has in defining the overall health status of the species. The output of CBEI is expressed by four categories: GOOD, MODERATE, POOR and BAD, according to the health status measured in the target species.
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
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
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
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
0.75
0.75
0.75
0.75
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
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
Not relevant
Not relevant
Not relevant
Not relevant
GES achieved
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
GES achieved by 2018
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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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 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 elements with sufficient spatial coverage are less than 80% of all elements. Therefore, the feature status cannot be assessed. 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).
Although the Assessment period is 2016-2021, only data relating to the 2019-2021 period are available and usable for the assessment. The """"GESextentThresholdValue"""" refers to the percentage of sampleable MRU area that must achieve the GES value. The """"GESextentAchieved"""" value refers to percentage of area achieving GES respect to the MRU area covered by data. The assessment is expressed only if the MRU area covered by data is at least 50% of the MRU sampleable area. However, for MIC-IT-MS-ISCMS MRU the area covered by data is equal to 25% of the sampleable MRU area. The """"TrendFeature"""" is set as """"unknown"""" because D8C2 was not assessed in the previous 6-years reporting period. The """"GESachievedDate"""" is """"unknown"""" because the minimum assessment area (50% of the sampleable MRU area) was not achieved.
Although the Assessment period is 2016-2021, only data relating to the 2019-2021 period are available and usable for the assessment. The """"GESextentThresholdValue"""" refers to the percentage of sampleable MRU area that must achieve the GES value. The """"GESextentAchieved"""" value refers to percentage of area achieving GES respect to the MRU area covered by data. The assessment is expressed only if the MRU area covered by data is at least 50% of the MRU sampleable area. However, for MIC-IT-MS-ISCMS MRU the area covered by data is equal to 25% of the sampleable MRU area. The """"TrendFeature"""" is set as """"unknown"""" because D8C2 was not assessed in the previous 6-years reporting period. The """"GESachievedDate"""" is """"unknown"""" because the minimum assessment area (50% of the sampleable MRU area) was not achieved.
Although the Assessment period is 2016-2021, only data relating to the 2019-2021 period are available and usable for the assessment. The """"GESextentThresholdValue"""" refers to the percentage of sampleable MRU area that must achieve the GES value. The """"GESextentAchieved"""" value refers to percentage of area achieving GES respect to the MRU area covered by data. The assessment is expressed only if the MRU area covered by data is at least 50% of the MRU sampleable area. However, for MIC-IT-MS-ISCMS MRU the area covered by data is equal to 25% of the sampleable MRU area. The """"TrendFeature"""" is set as """"unknown"""" because D8C2 was not assessed in the previous 6-years reporting period. The """"GESachievedDate"""" is """"unknown"""" because the minimum assessment area (50% of the sampleable MRU area) was not achieved.
Although the Assessment period is 2016-2021, only data relating to the 2019-2021 period are available and usable for the assessment. The """"GESextentThresholdValue"""" refers to the percentage of sampleable MRU area that must achieve the GES value. The """"GESextentAchieved"""" value refers to percentage of area achieving GES respect to the MRU area covered by data. The assessment is expressed only if the MRU area covered by data is at least 50% of the MRU sampleable area. However, for MIC-IT-MS-ISCMS MRU the area covered by data is equal to 25% of the sampleable MRU area. The """"TrendFeature"""" is set as """"unknown"""" because D8C2 was not assessed in the previous 6-years reporting period. The """"GESachievedDate"""" is """"unknown"""" because the minimum assessment area (50% of the sampleable MRU area) was not achieved.
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
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
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
Related pressures
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
  • Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
Related targets
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T001
  • MIC-IT-D08-T002
  • MIC-IT-D08-T002
  • MIC-IT-D08-T002
  • MIC-IT-D08-T002
Test TV
Yes
No
Yes
No
No
Yes
No
No
No
No
No
No
No
Yes
Yes
No
No
Yes
Yes
No
Yes
Yes
Yes
Yes
No
Yes
Yes
No
Yes
No
Yes
Test results
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
Correct