WC3 Working with the uncertainties in air quality modelling and monitoring

11:45 - 12:30

Efforts to reduce the risks of low indoor and outdoor air quality are compounded by the uncertainties around air quality modelling and monitoring. How can building services engineers work towards a best practice approach? What are the limitations?

  • Best practice: building trust in a region of figures
  • Modelling: building the right knowledge & skills
  • Measurement: WHO, what, where, when, HOW
  • Measuring target pollutants: considering detection range, limit, precision, bias, respond time, inferences, durability and calibration
  • Quality of data: review, sensor maintenance & data validation
  • Self-monitoring apps
  • Monitoring equipment: what instrumentation is used and what is measured; which contaminants and where are they measured?
  • What is the quality of the data received through the different means of recording?
  • How is the data recorded checked against the standards and the level of compliance?
  • Using Green Infrastructure to absorb pollution is a very poor third option (after reducing pollution emissions; and building to increase air flow as a poor second)
  • Understanding when installing Green Infrastructure for Air Quality (GI4AQ) will definitely work, and when it definitely won’t work
  • Models to quantify GI4AQ are not yet ready for routine use – but should be along shortly




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