This coursework consists in writing a report evaluating the air quality of selected rooms within a case
study building. Air quality data arising from a previous monitoring campaign is provided – students are
not expected to gather additional monitored data, other than downloading the outdoor data as per
instructions provided.
The data is based on actual monitoring data. It is from monitoring carried out in 2017 on the fourth floor of Central House (UCL), when loggers
were placed in rooms 413, 416 and 418 (see Fig 1 – note current layout may differ). Data from an
outdoor weather station is also provided.
A spreadsheet is attached here, containing the data downloaded from Eltek monitors that have
been running in these rooms for over a year (Excel spreadsheet (CH_4_2017)). As you will observe
there are limitations and uncertainties associated with monitoring, and missing data are not
uncommon. The specification for some of the equipment used in the monitoring campaign is attached here.
In addition, you are to download data from the London Air Quality Network (LAQN) for (1) London
Bloomsbury and (2) Camden – Euston Road – Roadside monitoring stations for the relevant periods
(see Go to the bottom of the page: Tools:
data downloads. Select the monitoring station, then select the species (PM2.5 etc.), the dates of
interest then choose a 15 minutes reading and save the data in csv. format. This can later be added
to your copy of the spreadsheet (CH_4_2017) for analysis. Repeat for other pollutants monitored at
Central House 4th floor and both external monitoring locations.
Using the monitoring data from the Excel spreadsheet (CH_4_2017) and data available from the
London Air Quality Network (LAQN) for (1) London Bloomsbury and (2) Camden – Euston Road –
monitoring stations, consider outdoor levels of PM2.5 and NO2. Discuss these in relation to indoor
parameters (i.e. PM2.5, CO2, temperature, humidity and lux levels), plus meteorological data from
the weather station.
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