| Literature DB >> 35502980 |
Adam Peters1, Iain Wilson1, Graham Merrington1, Christian Schlekat2, Ellie Middleton2, Emily Garman2.
Abstract
Nickel (Ni) has a been a Priority Substance under the European Water Framework Directive since 2008. As such it is deemed to present an European Union-wide risk to surface waters. Since 2013, the Ni Environmental Quality Standard (EQS) has been bioavailability-based, and new European Guidance supports accounting for bioavailability in assessing Ni compliance with the EQS. The European Commission has developed an approach to determine whether Priority Substances present a sufficient European Union-wide risk to justify an ongoing statutory monitoring programme, effectively to deselect a substance. This is a key step to ensure that finite monitoring resources are targeted at delivering environmental benefit, when there is an ever-growing burden of determinands to measure for all regulators. When the European Commission performed this exercise for Ni without accounting for bioavailability, they concluded that Ni should not be deselected, and Ni is an European Union-wide risk. Performing this same exercise with the same methodology, using regulatory monitoring data for over 300 000 samples, from more than 19 000 sites across Europe, and accounting for bioavailability, as detailed in the Directive, >99% of sites comply with the Ni EQS. Nickel shows very low risks for all of the criteria identified by the European Commission that need to be met for deselection. Accounting for bioavailability is key in the assessment of Ni risks in surface waters to deliver ecologically relevant outcomes. Environ Toxicol Chem 2022;41:1604-1612.Entities:
Keywords: Bioavailability; Compliance; Environmental Quality Standard; Nickel; Risk assessment
Mesh:
Substances:
Year: 2022 PMID: 35502980 PMCID: PMC9328137 DOI: 10.1002/etc.5352
Source DB: PubMed Journal: Environ Toxicol Chem ISSN: 0730-7268 Impact factor: 4.218
Summary of publicly available datasets used to undertake the deselection approach for Nia
| 2006 onwards | 2013 onwards | 2018–2020 | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Country | Sites | Samples | Sites that can be assessed at Tier 2 | Tier 1 exceedances (samples) | Sites that cannot be assessed at Tier 2 | Tier 2 failures | Sites | Samples | Sites that can be assessed at Tier 2 | Tier 1 exceedances (samples) | Sites that cannot be assessed at Tier 2 | Tier 2 failures | Sites | Samples | Sites that can be assessed at Tier 2 | Tier 1 exceedances (samples) | Cannot be assessed at Tier 2 | Tier 2 failures |
| Austria | 94 | 1464 | 94 | 22 | 1 | 21 | 94 | 1464 | 94 | 22 | 1 | 16 | 13 | 104 | 10 | 0 | 0 | 0 |
| Belgium | 44 | 1915 | 0 | 270 | 270 | 0 | 44 | 1915 | 0 | 270 | 270 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Bulgaria | 9 | 283 | 0 | 7 | 7 | 0 | 9 | 283 | 0 | 7 | 7 | 0 | 8 | 144 | 0 | 3 | 3 | 0 |
| Croatia | 8 | 457 | 0 | 5 | 0 | 5 | 8 | 457 | 0 | 5 | 0 | 1 | 8 | 23 | 0 | 0 | 0 | 0 |
| Cyprus | 21 | 101 | 0 | 15 | 15 | 0 | 21 | 101 | 0 | 15 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Czech Republic | 36 | 98 | 34 | 52 | 2 | 50 | 36 | 98 | 34 | 52 | 2 | 2 | 2 | 24 | 0 | 2 | 2 | 0 |
| Estonia | 140 | 1227 | 35 | 70 | 69 | 1 | 121 | 1008 | 35 | 43 | 42 | 0 | 35 | 160 | 8 | 7 | 7 | 0 |
| Finland | 215 | 3534 | 73 | 1471 | 1273 | 198 | 185 | 3246 | 42 | 1413 | 1255 | 28 | 75 | 531 | 10 | 281 | 220 | 0 |
| France | 6076 | 167 365 | 4627 | 4781 | 2966 | 1815 | 5757 | 131 930 | 4449 | 3158 | 1701 | 246 | 3770 | 45 883 | 3415 | 1192 | 256 | 123 |
| Germany | 6 | 349 | 4 | 3 | 1 | 2 | 6 | 161 | 3 | 1 | 0 | 0 | 3 | 52 | 1 | 0 | 0 | 0 |
| Hungary | 14 | 508 | 0 | 39 | 39 | 0 | 14 | 508 | 0 | 39 | 39 | 0 | 14 | 256 | 0 | 7 | 7 | 0 |
| Iceland | 4 | 12 | 0 | 0 | 0 | 0 | 4 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ireland | 1431 | 11 898 | 1394 | 138 | 89 | 49 | 1431 | 11 898 | 1394 | 138 | 89 | 9 | 176 | 1413 | 79 | 68 | 42 | 5 |
| Italy | 318 | 4710 | 157 | 489 | 273 | 216 | 318 | 4710 | 157 | 489 | 273 | 88 | 103 | 1592 | 65 | 84 | 3 | 30 |
| Latvia | 28 | 504 | 27 | 37 | 7 | 30 | 28 | 504 | 27 | 37 | 7 | 11 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lithuania | 14 | 38 | 13 | 1 | 0 | 1 | 14 | 38 | 13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Netherlands | 6240 | 82 385 | 1841 | 26 920 | 12 395 | 14 525 | 4675 | 64 174 | 1460 | 21 226 | 9784 | 1908 | 3033 | 30 889 | 321 | 9736 | 8275 | 279 |
| Poland | 865 | 874 | 0 | 43 | 43 | 0 | 404 | 408 | 0 | 21 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Portugal | 816 | 2656 | 8 | 216 | 206 | 10 | 816 | 2656 | 8 | 216 | 206 | 6 | 665 | 1564 | 8 | 116 | 106 | 6 |
| Romania | 21 | 915 | 20 | 110 | 1 | 109 | 21 | 915 | 20 | 110 | 1 | 61 | 21 | 456 | 20 | 83 | 0 | 55 |
| Slovak Republic | 21 | 622 | 0 | 5 | 5 | 0 | 21 | 622 | 0 | 5 | 5 | 0 | 6 | 133 | 0 | 0 | 0 | 0 |
| Slovenia | 121 | 1443 | 0 | 50 | 50 | 0 | 121 | 1443 | 0 | 50 | 50 | 0 | 121 | 1419 | 0 | 50 | 50 | 0 |
| Spain | 2989 | 42 833 | 72 | 11 123 | 11 097 | 26 | 2989 | 42 833 | 72 | 11 123 | 11 097 | 14 | 2581 | 17 547 | 44 | 1793 | 1774 | 10 |
| Sweden | 17 | 70 | 1 | 3 | 3 | 0 | 16 | 54 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Switzerland | 1 | 125 | 1 | 5 | 0 | 5 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 19 549 | 326 386 | 8401 | 45875 | 28 812 | 17063 | 17 154 | 271 444 | 7809 | 38 444 | 24 868 | 2390 | 10 634 | 10 2190 | 3981 | 13 422 | 10 745 | 508 |
Full datasets are in the Supporting Information.
Some sites may be able to be assessed at Tier 2 even when some samples cannot (see Supporting Information).
Figure 1A summary schematic of the overall deselection approach developed by the European Commission. Schemes for calculating F spatial, F temporal, and F extent are given in the Supporting Information. DOC = dissolved organic carbon; STE = Spatial, Temporal and Extent of PNEC exceedances score; MS = Member States.
Summary of the results of the metrics from the deselection approach for the present study when accounting for Ni bioavailability and the European Commission's outputs
| Deselection metric | 2006–2020 | 2013–2020 | 2018–2020 | European Commission's outputs |
|---|---|---|---|---|
|
| 0.01 | 0.01 | 0.01 | – |
|
| 0.19 | 0.21 | 0.20 | – |
|
| 0 | 0 | 0 | – |
| STE score | 0.21 | 0.22 | 0.21 | 0.52 |
| RQ (95th percentile; with substitution approach) | 0.48 | 0.45 | 0.46 | 1.25 |
| RQ (95th percentile; excluded OoR) | 0.43 | 0.41 | 0.41 | – |
| Countries | 25 | 25 | 17 | 20 |
| Countries that can be assessed at Tier 2 | 16 | 15 | 11 | ‐ |
| Countries Exceedances (with substitution approach) | 3 | 3 | 3 | 10 |
| Countries exceedances (excluded OoR) | 0 | 0 | 2 | ‐ |
No account taken of bioavailability, EQS not applied appropriately.
OoR = out of range; STE = Spatial, Temporal and Extent of PNEC exceedances score; RQ = risk quotient.
Country‐specific results, as summarized in Table 2, rows 5 and 6, of the RQ of the 95th percentile of concentrations compared with the EQS, accounting for Ni bioavailability
| 2006–2020 | 2013–2020 | 2018–2020 | ||||
|---|---|---|---|---|---|---|
| Country | RQ with substitution approach | RQ with out of range excluded | RQ with substitution approach | RQ with out of range excluded | RQ with substitution approach | RQ with out of range excluded |
| Ireland | 0.13 | 0.12 | 0.13 | 0.12 | 0.55 | 0.40 |
| Romania | 0.58 | 0.58 | 0.58 | 0.58 | 0.75 | 0.75 |
| Germany | 0.30 | 0.30 | 0.31 | 0.31 | 0.35 | 0.35 |
| Austria | 0.32 | 0.26 | 0.32 | 0.26 | 0.16 | 0.13 |
| France | 0.31 | 0.28 | 0.29 | 0.25 | 0.30 | 0.25 |
| Estonia | 0.18 | 0.11 | 0.17 | 0.07 | 0.09 | 0.04 |
| Czech Republic | 0.89 | 0.89 | 0.89 | 0.89 | – | – |
| Finland |
| 0.59 |
| 0.52 | 0.49 | 0.45 |
| Italy | 0.80 | 0.80 | 0.80 | 0.80 | 0.83 | 0.79 |
| Latvia | 0.23 | 0.23 | 0.23 | 0.23 | – | – |
| Lithuania | 0.59 | 0.13 | 0.59 | 0.13 | – | – |
| Netherlands | 0.80 | 0.73 | 0.88 | 0.77 |
|
|
| Switzerland | 0.13 | 0.13 | 0.15 | 0.15 | – | – |
| Portugal |
| 0.90 |
| 0.90 |
|
|
| Spain |
| 0.63 |
| 0.63 |
| 0.62 |
| Sweden | 0.16 | 0.16 | – | – | – | – |
Values in bold show exceedances at the P95.
EQS = Environmental Quality Standard; RQ = risk quotient; – = country cannot be assessed.
Figure 2Assessment of potential Ni risks in France (n =142137 samples from 4535 sites from 2006 to 2021), where green dots are samples that pass at either Tier 1 or Tier 2 and site average data passes at Tier 1 or Tier 2, purple dots indicate at least one sample fails at Tier 2 but site average data pass at Tier 1 or Tier 2, and black dots indicate at least one sample fails at Tier 2 and site average data fail at Tier 2.