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AIR QUALITY INDICATORS

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AIR QUALITY INDICATORS

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  1. AIR QUALITY INDICATORS Frank de Leeuw 8th Air Quality EIONET workshop 6-7 November 2003, Oslo

  2. ENVIRONMENTAL INDICATOR 1. What, how serious is the problem? 2. What / Who is causing the problem? 3. Is the problem being solved? • With the sub questions: • What’s being done? and • Is it effective? urban AQ indicators

  3. What is the problem? What/who is causing…? Is the problem being solved? effectively? health impairment; ecosystem /crop damage (acid/eutro) NOx, emitted to air by economic activities Are levels in cities low enough? Are loads onto ecosystems / crops dropping, and is damage avoided? What are cost / contributions of measures taken? Example NOxGeneric question Answer Indicator . • (…) • (…) • Emissions NOx, total & by sector • Exceedance days of NO2 limit values in urban areas • Percentage area exceeding critical loads for • Total acidity • nitrogen • Effectiveness policy response NOx urban AQ indicators

  4. ENVIRONMENTAL INDICATOR • representative • transparent • distinctive • consistent within DPSIR-chain • target value urban AQ indicators

  5. Emissions(Pressure)Acidifying: SO2, NOx, NH3Particles and precursorgasesOzone precursors: NOx,VOC etc. Air quality (State)Area of exceedance,critical loads:acidity and nitrogenExceedance of limit &target valuesO3, PM10, NO2, SO2 ,….Exposure of crops/vegetation to ozone Present EEA indicators, Air pollution http://themes.eea.eu.int/all_indicators_box urban AQ indicators

  6. Air Pollution Indicators Building blocks for: • Environmental Signals • sectoral reports (TERM, EERM) • Kiev report • Air Quality & Air Pollution reports • …... urban AQ indicators

  7. Health related limit values • Ozone: n=25 TV= 120 ug/m3 (daily 8h-max) • PM10: n=35 LV= 50 ug/m3 (24h) • PM10: n=1 LV= 40 ug/m3 (annual) • NO2: n=1 LV= 40 ug/m3 (annual) • NO2: n=18 LV= 200 ug/m3 (1h) • SO2: n=3 LV= 125 ug/m3 (24h) • SO2: n=24 LV=350 ug/m3 (1h) urban AQ indicators

  8. Methodology • Selection or urban (O3, PM10) and street (PM10) stations with data coverage >75% • station(s) representative for whole city • if n>1: exceedance days averaged over all stations urban AQ indicators

  9. PM10 in urban air in EEA31 urban AQ indicators

  10. PM10 in urban air urban AQ indicators

  11. O3 in urban air in EEA31 urban AQ indicators

  12. O3 in urban air urban AQ indicators

  13. Uncertainties in data • errors in AQ data • errors in station classification • coverage incomplete & variable in time • missing & incomplete info on meas. method • comparability • missing info (station type; city) urban AQ indicators

  14. Uncertainties in aggregation • representativity: from point to area • aggregation of more than one station • variable coverage per country • variable coverage in time • missing population data urban AQ indicators

  15. How to proceed? • Improve QA/QC on EoI data • independent check on station classification • fill gaps in space and time using models, interpolation or historical data • combine modelling & monitoring urban AQ indicators