3.1 The following data quality objectives, for allowed uncertainty of assessment methods, and of minimum time coverage and of data capture of measurement, are provided to guide quality-assurance programmes.
| For ozone, NO and NO2 | |
|---|---|
| Continuous fixed measurement | |
| Uncertainty of individual measurements | 15% |
| Minimum data capture | 90% during summer |
| 75% during winter | |
| Indicative measurement | |
| Uncertainty of individual measurements | 30% |
| Minimum data capture | 90% |
| Minimum data coverage | >10% during winter |
| Modelling | |
| Uncertainty | 50% |
| 1 hour averages (daytime) | 50% |
| 8 hours daily maximum | |
| Objective estimation | |
| Uncertainty | 75% |
3.2 The uncertainty (on a 95% confidence interval) of the measurement methods shall be evaluated in accordance with the principles laid down in the “Guide to the Expression of Uncertainty of Measurements” (ISO 1993) of the methodology in ISO 5725-1 “Accuracy (trueness and precision) of measurement methods and results” (ISO 1994) or equivalent. The percentages for uncertainty in the table are given for individual measurements, averaged over the period for calculating target values and long-term objectives, for a 95% confidence interval. The uncertainty for continuous fixed measurements should be interpreted as being applicable in the region of the concentration used for the appropriate threshold.
3.3 The uncertainty for modelling and objective estimation means the maximum deviation of the measured and calculated concentration levels, over the period for calculating the appropriate threshold, without taking into account the timing of events.
3.4 “Time coverage” means the percentage of time considered for settling the threshold value during which the pollutant is measured.
3.5 “Data capture” means the ratio of the time for which the instrument produces valid data, to the time for which the statistical parameter or aggregated value is to be calculated.
3.6 The requirements for minimum data capture and time coverage do not include losses of data due to the regular calibration or normal maintenance of the instrumentation.