Chapter 4: Present day ozone distribution and trends relevant ...
Chapter 4: Present day ozone distribution and trends relevant to human Health Zoe Fleming U. Leicester, Ruth Doherty U. Edinburgh UK Cooper, O. R., Xu, X., Moolla, R., Simpson, D., von Schneidemesser, E., Schultz, M., Malley, C. Feng, Z., Pinto, J., Shallcross , D., Lefer, B., Solberg, S., Jaffe, D., Hamad, S. Colette, A.
Chapter Structure Introduction Acute exposure and Air quality standards Plethora of metrics- differ by timescale and world region Station data selection and classification Networks utilised for health metric calculations and time periods Optimal station classification for health purposes- i.e. accounting for population Regional aggregation Health metrics for present-day ozone Which one/ones/few?
Present-day ozone and metrics relevant for human health Present-day distribution and disparities in distributions Population weighting Ozone trends and metrics relevant for human health Time series and trend methodology Encompassing trends for different metrics/distributions/percentiles Mapping Regional ozone trends Discussion Chapter Structure
Introduction Station data selection and classification
Health metrics for present-day ozone Present-day ozone and metrics relevant for human health Ozone trends and metrics relevant for human health Discussion Station classification for health Urban + rural standard classification, suburban and baseline
In addition proxies: Urban (high NO emissions/NO column) Urban (zero ozone at night in winter if available) Urban (population density) Urban (night time lights) Urban (land cover) x 2
Regions/Regional aggregation Which regions? - common decision for TOAR chapters Regional aggregation for present-day ozone and for trends Averaging, kriging . How complex? TF-HTAP source regions
European EMEP ozone monitoring sites, the number of years of data during 19902009 (courtesy S. Solberg) Mildred Lake (Oil Sands), 2005-2010, SO2 emissions: ~120 kT Thornhill SS - 28/11/2011 - 6 -0.3 0.0
0.3 0.6 DU Which metrics? Still under debate Wide range including:
4 highest 8 hour average for each year (USA) Ditto daytime average Maximum daily 8 hour Maximum daily 1 hour SUMO35, SUM010 W90 Percentiles annual and seasonal Number of exceedances above an absolute threshold th
(8 and 1 hr) Running mean 3 month average Cluster analysis: site similarity across metrics Cluster analysis: site similarity across metrics Cluster analysis: site similarity across
metrics- to relate to chosen metrics Population weighting = 03 x pop density Displaying regional? trends globally Cooper et al. 2015
Urban data and overlap Enough urban data Chapter 3 to advise on trend periods Chapter 5 synergies Other chapters? Chapter 8 to bring together chapters 4 and 5- common conclusions? Cooper et al. 2015
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