The ability to properly plan an air quality monitoring network.

What is it about?

Ambient air fine particulate matter (PM2.5) is a kind of instantaneous variation of space and time that cannot be repeated. In the process of fluid sampling analysis of real-time data, there are too many variables and too fast component changes for the laboratory to undertake such tests. The fast automatic monitoring technology provides real-time measurement consistency and reliability, which is comparable in terms of cost effectiveness technical process optimization and life cycle. In this case, suitable reference gas for PM2.5 (mg/m3) could not be found, so β ray or oscillating balance method (X method) and manual weighing method (Y method, as the primary test method) were respectively used. Moreover, related to the sampling frequency of tolerance limit, discussion is given on the detection power (1-) for the difference (△) between the X and Y, for their acceptance probabilistic risk characteristics of operational curve based on the trade-off, and on sample sizes (n) under  and  risks, as well as the acceptable level of the cost of wrong decision. This paper belongs to the research category of unstable samples analysis, and involves the evaluation of two components, ur, rel(range) and uR, rel(bat). The assessment is based on the overall concept of top-down. All cumulative effects are incorporated into the continuous and closed system as far as possible. Under the premise of ensuring that the acceptable level is under statistical control, reasonable estimates of quality objectives and uncertainties are obtained.

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Why is it important?

The majority of people living in China’s cities are exposed to unhealthy levels of air pollution, when measured as annual levels of particulate matter, every day. The haze episodes occurred frequently requires setting up and implementing appropriate air quality monitoring systems, in short, quality assurance(QA) and quality control(QC) procedures.

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