1. Updating IPR "Guidance" April 2017 European Commission DG ENV C.3
Clean Air

2. Planning – Process so far
IPR Meeting April 2016: Decision for update, informal working group to make first proposal
June 2016: First draft by informal working group
Fall 2016: First version by Commission for bilateral discussion with members of informal working group
IPR Meeting November 2016: Presentation by informal working group (DE) on main changes
February 2017: Revised version by Commission sent to Member States and notification in AQ expert group
Spring 2017: Comments by Member States

3. Planning – Timeline When What IPR meeting April 2017
Discuss key issues 1st update
Early May
COM/EEA send new version to MSs
AQ expert meeting June 2017
Agree 1st update (or decide further work is needed)
August 2017
If 1st update has been agreed, start on 2nd update.

4. Planning - Priorities When What First update
Time coverage/ data capture
Data submission process
Issues for future updates
Structure/ editing
Reporting of modelling data
Reporting of objective estimation
Reporting dataset H-K
Calculating local/regional dispersion/ spatial representativeness
Calculating source apportionments (H)
Classification stations (Dataset C)
Any additional issues?
Which most important?

5. Data submission process
April 2017

6. Main comments (1) Continuous updating of Dataset D:
Necessary for UTD data
Option to update asap if there are changes, but latest on 30 Sept. YY+1
No justification of changes needed if updated before 30 Sept. YY+1
Which stations to include in UTD data:
Public information (AAQD Art. 26): exceeding stations at a minimum
Corresponding to Dataset E1a

7. Main comments (2) Resubmissions
Detailed justification in separate document: "…shall describe the differences between the updated and original information and the reasons for the update… ", esp. if compliance changes (Impl. Dec. Art. 5(5))
During QA (before 15 Jan): Implicit acceptance.
After QA (after 15 Jan): COM acknowledgement needed, i.e. "The Commission shall acknowledge the receipt of the updated information. After that acknowledgement, the updated information shall be considered as the official information." (Impl. Dec. Art. 5(5))
Description of changes between preliminary Dataset C and final Dataset C: Not necessary.

8. Time coverage, data capture, proportion of valid data
April 2017

9. Time coverage Time coverage (%) = 100 * Nmeas/ Nyear where
 Nmeas is the number of days/hours on which measurements have taken place;
Nyear is the total number of days/hours in the calendar year.
To be reported as TRUE or FALSE (boolean).

10. Example: Required minimum number of days
Data capture
Data capture (%) = 100 * Nvalid/NminTimeCov
where
Nvalid is the number of valid hourly/daily measurements in the measurement period;
NminTimeCov is the minimum required number of days/hours on which measurements have to take place;
Example: Required minimum number of days
= 85% * 100% * 365 days

11. Example – Fixed measurements NO2 (hourly values)
Minimum time coverage requirement = 100% (NminTimeCov = 8760 hours)
Minimum data capture requirement = 85% (including 5% loss for calibration)
Nmeas = 8760 hours
Actual time coverage = Nmeas/ Nyear = 8760/8760*100 = 100%
Actual time coverage (100%) = Minimum time coverage (100%) √
Nvalid = 8199 hours
Actual data capture = Nvalid/NminTimeCov = 8199 / 8760*100 = 93.6% (rounded to 94%)
Actual data capture (94%) > Minimum data capture (85%) √
Meeting the data quality objectives in Annex I implies fulfilling the percentage of valid data required by Annex XI:
→ Data quality objectives achieved → Sufficient valid data

12. Annex I vs. Annex VII/Annex XI
Logically, data capture/time coverage requirement (Annex I) must be at least as strict as or stricter than the minimum required proportion of valid data (Annex VII/XI), because data that has not been measured cannot be used for calculations.
Annex I
Annex VII/Annex XI
Requirement
Time coverage * data capture
Proportion of valid data
Domain
Monitoring network
Calculation of statistics

13. Proportion of valid data (Annex XI)
Metric
Requirement
Annual mean
90%
SO2
hourly means (350 µg/m³, 24 hours allowed)
daily means (125 µg/m³, 3 days allowed)
NO2
hourly mean (200 µg/m³, 18 hours allowed)
PM10
daily mean (50 µg/m³, 35 days allowed) CO
highest daily 8-hour mean (10 mg/m3)
75%

14. Proportion of valid data (Annex XI)
Annual mean Required proportion of valid data = minimum data capture = 90% Definition required proportion of valid data: "90 % of the one-hour values or (if not available) 24-hour values over the year") "Year" to be defined by minimum required time coverage

15. Proportion of valid data (Annex XI)
Other than annual mean Required proportion of valid data < minimum data capture Required proportion of valid data = 75% Minimum data capture = 90%

16. Proportion of valid data (except O3)
Annex I
Annex XI
Data capture
>= 90%
Prop. of valid data
> 75%
Report result of LV compliance check, incl. annual mean
Check data capture
Report result of LV compliance check , excl. annual mean
Data capture
< 90%
Prop. of valid data >= 75%
Treat
annual mean as missing*
Prop. of valid data
< 75%
Report LV non-compliance, excl. annual mean
Exceed.
TRUE
Check for LV exceedance
Check proportion of valid data
Exceed. FALSE
Treat as missing for all parameters

17. Proportion of valid data (OZONE)
Minimum data capture > Required proportion of valid data
Data capture
(Annex I)
Proportion of valid data (Annex VII)
Summer
(AOT40)
90%
Winter
75% -
Whole year
(max. daily 8-hr mean)
(implicitly > 75%)

18. Proportion of valid data (OZONE)
AOT40
Annex I
Annex VII
Data capture
summer
>= 90%
Prop. of valid data >= 90%
Report result of TV/LTO compliance check
Check data capture summer
Data capture summer
< 90%
Prop. of valid data < 90%
Treat as missing

19. Proportion of valid data (OZONE)
Maximum daily 8-hr mean, >120 µg/m3
Annex I
Annex VII
Data capture
Summer >= 90%
AND
Winter >=75%
Target value
> 0 days: report non-compliance
= 0 days: report compliance
Prop. of valid data >= 75%
Long-term objective
> 25 days: report non-compliance
<= 25 days: report compliance
Data capture
Summer >= 75%
AND
Winter >=75%
Check data capture
Target value
> 0 days: report non-compliance
= 0 days: treat as missing
Data capture
Summer < 75% OR
Winter < 75%
Prop. of valid data < 75%
Long-term objective
> 25 days: report non-compliance
<= 25 days: treat as missing

20. Other comments
All comments that are legally coherent with Directives and Implementing Decision
> Accept
All comments that are legally problematic
> Reject
Comments on which there is no agreement
> Further discussion
Larger additional issues
> Plan in for future updates

21. Questions?

22. X x > 90% < 90% > 75% < 75% > 75% < 75%
Compliance or non-compliance
If no exceedance, report as missing
Treat annual means as missing
Treat annual mean as missing

23. Same, but changed the arrows

24. Example - Fixed measurements of Benzo(a)pyrene (daily values)
Minimum time coverage requirement = 33% (NminTimeCov = 120 days)
Minimum data capture requirement = 85% (including 5% loss for calibration)
Nmeas = 119 days
Actual time coverage = Nmeas/ Nyear = 119/365*100 = 32.6% (rounded to 33%)
Actual time coverage (33%) = Minimum time coverage (33%) √
Nvalid = 112 days
Actual data capture = Nvalid/NminTimeCov = 112 / 120*100 = 93.3% (rounded to 93%)
Actual data capture (93%) > Minimum data capture (85%) √
→ Data quality objectives achieved → Sufficient valid data
Note that the samples must also be spread evenly over the weekdays and the year.

25. Example - Indicative measurement of PM10 (daily values) [1] Minimum time coverage requirement = 14% (NminTimeCov = 51 days) Minimum data capture requirement = 90% (5% loss for calibration cannot be deducted) Nmeas = 50 days Actual time coverage = Nmeas/ Nyear = 50/365*100 = 13.7% (rounded to 14%) Actual time coverage (14%) = Minimum time coverage (14%) √ Nvalid = 40 days Actual data capture = Nvalid/ NminTimeCov = 40 / 51*100 = 78.4% (rounded to 79%) Actual data capture (79%) < Minimum data capture (90%) X → Data quality objectives NOT achieved → INsufficient valid data to calculate the annual mean

26. Example - Indicative measurement of PM10 (daily values) [2] Actual data capture (79%) > Required percentage of valid data for hourly and daily means (75%) √ → INsufficient valid data to calculate the annual mean, but sufficient valid data to calculate statistical parameters related to short-term health effects