Denmark1EMODnet Jamboree

20 – 22 October 2015

Paving the road for aggregationof EMODnet Chemistry data

on a pan-European scale

Jesper H. Andersen1 & Martin M. Larsen2

1 NIVA Denmark Water Research2 Department of Bioscience, Aarhus University

Oostende,Belgium

Denmark2Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

Objectives

Key objectives of this case study are:• To demonstrate how existing data sets can be

combined and used for mapping of ‘problem areas’ and ‘non-problem areas’

• To test an existing matrix- and substance/indicator-based tool (CHASE 2.0) before testing in 4 pilot areas using EMODnet Chemistry data sets

Please keep in mind: We have agreed to apply the CHASE tool on a pan-European-scale using available data sets from EMODnet Chemistry

Denmark3Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

In essence, it is all about …... getting from:

to:

… by using a science-based communication tool

Denmark4Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

Methodology

• CHASE 2.0 is a matric- and substance/indicator-specific tool for classification of ‘chemical status’

• The original CHASE 1.0 (the HELCOM Chemical Status Assessment Tools) was used for a integrated classification of ‘chemical status’ in the Baltic Sea

• CHASE 2.0 was developed by the HARMONY project (focusing on the North Sea) and is WFD/MSFD-specific

• CHASE ‘runs’ on indicators (substances; monitoring data) and agreed Target Values (EQCs)

• The classifications are done in 4 steps ….

Denmark5Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

A step-wise classification

Substances/indicators are initially nested in 4 categories (CI: water; CII: sediments; CIII: biota and CIV: biological effects)Step 1 – For each substance/indicator, a Chemical Ratio (CR = CMON /CTRESHOLD) is calculatedStep 2 - For each category (I-IV), a Chemical Score (CS) is calculated (C1: CSW; CII: CSS; CIII: CSB and CIV: CSBE):

Step 3 – Each category (I-IV) is classified in five classes (High, Good, Moderate, Poor and Bad)Step 4 – Category-specific classifications are combined (using the lowest ranging classification cf. the OO-AO principle) into a final classification of ‘chemical status’ (in 5 classes)

Denmark6Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

CHASE 2.0: Conceptual model

Step 1

Step 2

Step 3

Step 4

Denmark7Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

Preliminary results

What have we done in the Danish case study:• We took Danish monitoring

data from 2009-2013• We used the CHASE 2.0 tool

in combination with new Target Values/EQC and the above data

• We carried out matrix-specific classifications of ‘chemical status’

Denmark8Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

The fullpicture:An integrated but preliminary classification of ‘chemical status’ in Danish marine waters:

Denmark9Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

Lessons learned

• We are only testing – not doing assessments …• QC/QA’ed data sets are a prerequisite – even with a

well-known data set we faced some problems …• We managed to carry out the classification of chemical

status and to identify ‘problem areas’ as well as ‘non-problems areas’ …

• Hence, we have demonstrated how to make use of ‘chemical data’ similar to those included in EMODnet Chemistry …

Denmark10Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

Planned next steps

We are now in the process of:• Writing a short Technical Report based on the

Danish case study (including a description of the tool, the data used and lessons learned)

• Planning to test the tool in 4 pilot areas based on EMODnet Chemistry data sets

• Considering how to carry out a test based on all available and relevant EMODnet Chemistry data

In addition, we have plans for updating CHASE, but this will done outside of EMODnet Chemistry …

Denmark11Oostende,

BelgiumEMODnet Jamboree

20 – 22 October 2015

Any tricky questions?