Influence of sampling point distributions on the accuracy of indoor air environment measurements

Yan Huang, Jianmin Li, Bingye Li, Ran Duan, Junjie Liu, Xiong Shen, Qingyan Chen

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

Abstract

Air distributions, such as the distributions of airflow, air temperature and contaminant concentrations, are very important to occupants' health and comfort in enclosed spaces. In order to obtain the air distribution, in-situ measurements are often conducted with point sensors such as anemometers, thermocouples, and tracer-gas samplers. The sensor sampling locations are highly related to the measuring accuracy, time invested, and labour costs, when the data is interpolated to field distributions. This investigation proposed a gradient-based sampling method and evaluated quantitatively the sampling locations and measuring accuracy by using the distributions of air velocity and air temperature in an office. The data was interpolated into field distributions by Kriging method. The errors were analyzed in the field distributions obtained with the gradient-based and grid sampling methods through Kriging interpolation. The results show that the gradient-based method was more accurate than the grid method. This investigation also studied the relationship between sampling size and measuring errors.

Original languageEnglish
Pages158-166
Number of pages9
Publication statusPublished - 2014
Event13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 - Hong Kong, Hong Kong
Duration: 7 Jul 201412 Jul 2014

Conference

Conference13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014
Country/TerritoryHong Kong
CityHong Kong
Period7/07/1412/07/14

Keywords

  • Enclosed environment
  • Gradient
  • Kriging interpolation
  • Sampling distribution

ASJC Scopus subject areas

  • Pollution
  • Building and Construction
  • Health, Toxicology and Mutagenesis
  • Computer Science Applications

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