The Average Exposure Indicator expressed in ug/m3 (AEI) shall be based upon measurements in urban background locations in zones and agglomerations throughout the territory of a Member State. It should be assessed as a three-calendar year running annual mean concentration averaged over all sampling points established pursuant to Section B of Annex V of Directive 2008/50/EC.Interim annual calculation for calculating the AEI which is based in a one-calendar year annual mean concentration for all sampling points used for AEIAccumulated Ozone Exposure 40 (expressed in (ug/m3) XXX hours) means the sum of the difference between hourly concentrations greater than 80 ug/m3 and 80 ug/m3 between 1 May to 31 July using only the one-hour values measured between 8.00 and 20.00 Central European Time (CET) each day.AOT40 vegetation protection (AOT40) averaged over 5 years. Following Directive 2008/50/EC: If the three or five year averages cannot be determined on the basis of a full and consecutive set of annual data- the minimum annual data required for checking compliance with the target values will be as follows for the target value for the protection of vegetation: valid data for three years.Number of valid hourly values (flag 1, 2, 3) between StartTime => 07:00 UTC and EndTime =< 19:00 AND YYYY-05-01T01:00:00+00:00 and YYYY-07-31T24:00:00+00:00SUM of all AOT40h between YYYY-05-01T01:00:00+00:00 and YYYY-07-31T24:00:00+00:00Number of valid hourly values (flag 1, 2, 3) between StartTime => 07:00 UTC and EndTime =< 19:00 AND YYYY-04-01T01:00:00+00:00 and YYYY-09-31T24:00:00+00:00)SUM of all AOT40h between YYYY-04-01T01:00:00+00:00 and YYYY-09-31T24:00:00+00:00max (0, hourly concentration - 80) for hours with StartTime => 07:00 UTC and EndTime =< 19:00 and period YYYY-04-01T01:00:00+00:00 and YYYY-09-31T24:00:00The daily average or daily mean is the average of all valid hourly values for a day. A daily or 24-hourly average is calculated if at least 18 valid hourly values are available.Data capture for one day. This is an aggregation type added by EEAData fractions missing due to calibration or station repaire. This is an aggregation type added by EEAAverage between 1 hour/day of month X to last hour/day of month X (example for 31 days month: 1/X/YearY - 31/X/YearY)Number of hours with values higher than 180 (unit) in given monthNumber of hours with values higher than 200 (unit) in given monthNumber of hours with values higher than 240 (unit) in given monthNumber of hours with values higher than 350 (unit) in given monthNumber of hours with values higher than 400 (unit) in given monthAverage between 1st January to 31st December Year X (1/1/YearX - 31/12/YearX)Number of periods when 3 consecutive hours are higher than 400 in a given yearNumber of periods when 3 consecutive hours are higher than 500 in a given yearNumber of days with daymax values (P8H_dmax) higher than 10 (unit) in given yearThe 90.4th percentile of daily averages (P1D) in a given year
Aggregation for Compliance.The 90.41th percentile of daily averages (P1D) in a given yearThe 99th percentile of daily averages (P1D) in a given year
associated to WHO short-term guidelines for pollutants PM10 (5) and PM2.5 (6001)The 99.18th percentile of daily averages (P1Y-P1D) in a given year (corresponding with the 4th highest daily value)
- Aggregation uses P1Y-day-max-per99.18The mean for a multi-__day sampler based data types shall be evaluated in a similar way to the data capture (see section 4.2)- although in this instance is calculated as the time weighted mean of valid measurements over the sample period. mean = _i DCi * Nvalid-i Cvalid-i / _i DCi * Nvalid-i i=1.... n where DCi = the data capture of sample i
Nvalid-i = the number of hours of the valid sampling period i
Cvalid-i = concentration for valid sampling period iThe time coverage is the percentage of measurement time in a given averaging period. Also the time coverage is calculated on base of the number of hours in the sample periods. The time coverage for a given averaging period is calculated as follows (weighted average): Time coverage = _i TCi * Ni / Naveraging_period * 100 % where TCi = the time coverage of sample i
Ni = number of hours in sample i
Naveraging_period = the total number of hours in the given averaging period (e.g. a year)The highest daily value of the yearThe 99.18th percentile of daily MEAN (P1Y-P1D) in a given year
(corresponding with the 4th highest daily value) - DESCRIPTION UPDATE - notation SHOULD REALLY BE P1Y-P1D-per99.18The data capture for multi day sampler based data types integrated over an averaging period is calculated as the proportion of valid measurement time (at a minimum seconds- alternatively decimal hours or days) relative total measured time in the averaging period- expressed as an percentage. The data capture for a given averagingperiod shall be calculated as follows: Data capture = _i DCi * Nvalid-i / _i Ni * 100 % where DCi = the data capture (in %) of the valid sample I- that is- the effective sampling time in a measuring period
Nvalid-i = the number of hours in the valid sample i (validity flag sample > 0) Ni = number of hours in sample iThe 36th highest daily average value in a given yearThe 4th highest daily value in a given yearThe lowest daily value of the yearThe 50th percentile of DAILY values in a given yearNumber of days with values higher than 100 (unit) in given yearNumber of days with daily average values higher than 125 (unit) in given yearNumber of days with daily average values higher than 50 (unit) in given yearData capture of primary reported units (like hour/day XXX) for the given yearThe 93.15th percentile of daily 8h maximum (P8H-dmax) in a given yearNumber of days with daymax values higher than 120 (unit) in given yearAverage day max value between 1st January to 31st December Year X (1/1/YearX - 31/12/YearX)Day max data capture for given yearThe highest day max value in given yearThe 26th highest daymax value in a given yearThe lowest day max value in given yearNumber of valid daymax values in given yearThe highest hourly value of the yearThe 99.73th percentile of hourly values (/hour) in a given year (equivalent to 25th highest hourly value)The 99.79 percentile of hourly values in a given year
(corresponding to 19th highest hourly value)The 19th highest hourly value in a given yearThe 25th highest hourly value in a given yearThe lowest hourly value of the yearThe 50th percentile of HOURLY values in a given yearNumber of hours with values higher than 180 (unit) in given yearNumber of hours with values higher than 200 (unit) in given yearNumber of hours with values higher than 240 (unit) in given yearNumber of hours with values higher than 350 (unit) in given yearNumber of hours with values higher than 400 (unit) in given yearTotal number of primary reported units (like hours/days XXX) in current yearTotal number of valid primary reported units (like hours/days...) in current yearThree-year running mean concentration. Average between 1st January Year X-2 to 31st December Year X (1/1/Year X-2 - 31/12/Year X)Number of days with daymax values higher than 120 (unit) averaged over 3 yearsThe daily maximum 8-hour running mean for a day is the maximum of the valid hourly 8-hour running means for that day. A daily maximum 8-hour mean is calculated if at least 18 valid hourly 8-hour running means are available for that particular day.The 8-hour running mean value for each hour is calculated as the average of the valid values for that hour and the 7 foregoing hours (averaging period). So- the averaging period of hour1 of dayn is hour17 of dayn-1 until hour1 of dayn. The averaging period of hour24 of dayn is hour16 of dayn until hour24 of dayn. A 8-hourly running averaged concentration is calculated if at least 6 valid hourly values are available.For quantification of the health impacts the World Health Organisation recommends the use of the SOMO35 indicator. SOMO35 stands for means the sum of the differences between maximum daily 8-hour running mean concentrations greater than 70 µg/m3 (= 35 parts per billion) and 70 µg/m3Average between 1st May to 31th July Year X.Average between 1st April to 30th September Year X.Average between 1st October Year X-1 to 31st March Year X.