Sampling strategies of indoor air quality assessment for offices

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


Purpose – The aim of this paper is to propose alternative sampling schemes for indoor air quality assessments in which a balance between the sampling time required and number of sampling points chosen is allowed. Design/methodology/approach – CO2 was used as a reference to evaluate the existing and the proposed sampling schemes for average indoor pollutant concentration regarding the sampling time and sampling point density required and the probable errors induced at certain confidence levels of the measurement. Findings – The results showed that increasing the number of sampling points would significantly reduce the corresponding sampling time required: at the same confidence level, doubling the sampling point density from 250 m2 to 500 m2 per measurement point would reduce the sampling time required from eight hours to three hours. Research limitations/implications – The model parameters were determined from surveys for some typical offices in Hong Kong and therefore may require adaptation for use elsewhere. Practical implications – A useful source of information in determining the number of sampling points chosen and the duration of the measurement needed according to the “acceptable” measurement uncertainty allowed. Originality/value – Providing flexibility in IAQ assessment, the results would be useful to policymakers for making decisions on resources and manpower management for their respective sampling strategies while taking the uncertainties into account.
Original languageEnglish
Pages (from-to)179-184
Number of pages6
Issue number5-6
Publication statusPublished - 10 Apr 2007


  • Air
  • Hong Kong
  • Office buildings
  • Quality assessment
  • Workplace

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Architecture
  • Building and Construction


Dive into the research topics of 'Sampling strategies of indoor air quality assessment for offices'. Together they form a unique fingerprint.

Cite this