The project is a collaboration between the University of Edinburgh (EPCC), the University of Leeds (School of Earth and Environment), the Software Sustainability Institute, the UK Met Office and North Carolina State University.
These images were produced by: Kirsty Pringle, Jim McQuaid, Richard Rigby, Steve Turnock, Carly Reddington, Meruyert Sha, Malcolm Illingworth, Denis Barclay, Douglas Hamilton and Ethan Brain.
-We are grateful for the support provided by the Software Sustainability Institute and EPCC and volunteer effort provided through Access to Industry (Access to Data).
-Many thanks to Ed Hawkins for advice and guidance, and for the original stripes! Thanks also to Alex Pringle for his geographical expertise and to the many colleagues who have contributed ideas and opinions to improve these images.
+We are grateful for the support provided by the Software Sustainability Institute and EPCC and volunteer effort provided through Access Data - Access to Industry.
+Many thanks to Ed Hawkins for advice and guidance, and for the original stripes!
+Thanks also to Alex Pringle for his geographical expertise and to the many colleagues who have contributed ideas and opinions to improve these images.
This work used JASMIN, the UK’s collaborative data analysis environment (https://www.jasmin.ac.uk)
Lawrence, B. N. , Bennett, V. L., Churchill, J., Juckes, M., Kershaw, P., Pascoe, S., Pepler, S., Pritchard, M. and Stephens, A. (2013) Storing and manipulating environmental big data with JASMIN. In: IEEE Big Data, October 6-9, 2013, San Francisco.
The Software Sustainability Institute is funded through UKRI grant EP/S021779/1 (Phase 3) and AH/Z000114/1 (Phase 4).
diff --git a/faq/index.html b/faq/index.html index 2917cb1..90fc5a4 100644 --- a/faq/index.html +++ b/faq/index.html @@ -127,8 +127,9 @@These plots show the changing trends in outdoor concentrations of particulate matter (PM2.5) air pollution from 1850 to 2021. The cleanest air in this time period is coloured light blue and the dirtiest is coloured brown, in this way the trend in pollution in each city can be seen. There are many types of air pollution, but we only show particulate matter (PM2.5) concentrations as these have been closely linked to effects on human health.
+These plots show the changing trends in outdoor concentrations of particulate matter (PM2.5) air pollution from 1850 to 2021. The cleanest air in this time period is coloured light blue and the dirtiest is coloured brown. There are many types of air pollution, but we only show particulate matter (PM2.5) concentrations as these have been closely linked to effects on human health.
The data is all plotted on the same scale so a particular colour in one location is the same value as that colour in another. We also show bar charts which show the concentration of PM2.5, we also show the World Health Organization Air Quality Guideline concentration of 5 micrograms per cubic metre (or “ug/m³”).
+In some plots we have added indicative air quality ratings e.g. "Very Good", "Fair", "Moderate" etc. There is no single internationally regoginsed definition of these terms for annual mean PM2.5 values, so we have estimated these indicative values based on a mix of recomendations from different countries, as research into the health effects of PM2.5 continues we will be better understand the health effects of different concentrations.