Tag Archives: PM10

2011 Shanghai Air Quality Report Card, Part 2

In Part One, I put up graphs of the last 11 years of API readings for Shanghai, China.  The graphs were big, crowded, whacky and JPGs, so it is hard for readers to see anything really tangible.  So with the power of statistics, let us see how we can make these more useful, shall we?

Reminder: I make no claims of any sort about the accuracy of the source data, which was gathered from the Shanghai Environmental Education Center.  The site and the ministry do not go into detail about their methods, testing sites, or any other pertinent details, which ruins the fun. (click to biggify, as usual)

Year on Year 30day avg PM10Year on Year 30day avg PM10 for Shanghai China, 2000-2011

This is a year on year graph of the 30 day running average.  That’s a mouthful, but it’s relatively simple, each data point is an average of the 29 previous days and itself.  This helps smooth things out without decimating the real shifts in Air Quality, good or bad. Click through for SO2 and NO2, and more fun graphs!
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2011 Shanghai Air Quality Report Card, part 1

Shanghaiist recently ran a good piece explaining the basics of air pollution, which is a great segue into my occasional series of posts about Shanghai Air Quality.  People are freaking out about the Air Quality again, which happens periodically.

In early 2011 I gathered some data about Shanghai’s air quality, did some simple math, and made a few graphs, wondering if the Shanghai World Expo had been a period of better air quality.  Now that we’re a healthy term into 2012, I thought it was a good time to evaluate 2011 for air quality, and perhaps play with a few more graphs to see if we can make sense of Shanghai’s Air Quality in 2011 juxtaposed against the previous 10 years.

For review, Shanghai measures PM10, SO2 and NO2.  Data previous to this set measured API in aggregate and always noted “Total Suspended Particulates” as the chief pollutant.  So, that’s useless and thus excluded.

Also note that these numbers are not raw (otherwise they’d be in Parts Per Million), they are integers derived by the API formula, explained here. I suppose I could have done the math backwards ad derived the core values, but there are PhD candidates on top of that.

I make no claims of any sort about the accuracy of the source data, which was gathered from the Shanghai Environmental Education Center.  The site and the ministry do not go into detail about their methods, testing sites, or any other pertinent details, which ruins the fun.

Here’s the big graph, PM10 for the last 11 years.

120213 10year PM10

Click through to see the SO2 and NO2 graphs, and a much much more!  (also click any graph to biggify)

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