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SAMPLING POINT DENSITIES FOR ASSESSING INDOOR AIR QUALITY

机译:室内空气质量评估的采样点密度

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摘要

Maintaining acceptable indoor air quality (IAQ) has become a public issue, policymakers have had developed strategies to address the performance of it. Pollutant concentration measured during the occupied period of a space is a key parameter to determine IAQ. Apart from a number of sampling schemes concerning the measurement time of the average pollutant level, an 8-hour continuous measurement has been widely adopted in local IAQ assessments, with a balance of accuracy and measurement effort. It is believed that the longer the measurement time, the higher the accuracy and confidence level of the measurement can be achieved. However, the probable errors of the measurement, regarding the number of measurement points, were not addressed clearly in those assessments. This study, taking a long-term carbon dioxide measurement in a typical open-plan office building as a reference, develops a database to examine the probable errors of the measurement at different sampling point densities. The results showed that there was a strong correlation between the sampling point density and the probability of obtaining the measured quantity at certain confidence levels. Moreover, the confidence level in determining the indoor air quality in the occupied period for a ventilated space could be increased from 70% to 90% at a 5% error set limit when the sampling points were doubled to the one recommended in the HKEPD certification scheme.
机译:维持可接受的室内空气质量(IAQ)已成为一个公共问题,决策者已经制定了应对其性能的策略。在一个空间的占用期内测得的污染物浓度是确定室内空气质量的关键参数。除了许多有关平均污染物水平测量时间的采样方案外,本地IAQ评估还广泛采用了8小时连续测量,以在准确性和测量工作之间取得平衡。据信,测量时间越长,可以实现的测量精度和置信度越高。但是,在这些评估中并未明确解决有关测量点数量的可能测量误差。这项研究以典型的开放式办公楼中的长期二氧化碳测量为参考,开发了一个数据库来检查在不同采样点密度下测量的可能误差。结果表明,在特定置信度下,采样点密度与获得测量量的概率之间存在很强的相关性。此外,当采样点增加一倍至HKEPD认证计划中推荐的采样点时,在5%的错误设定限制下,确定通风空间在占用空间内确定室内空气质量的置信度可以从70%提高到90% 。

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