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五年准确的 PM 测量证明了在受林火烟雾影响的地区使用低成本 PurpleAir 监测仪的价值。

Five Years of Accurate PM Measurements Demonstrate the Value of Low-Cost PurpleAir Monitors in Areas Affected by Woodsmoke.

机构信息

Healthy Environments and Lives (HEAL) National Research Network, Canberra, ACT 2601, Australia.

College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia.

出版信息

Int J Environ Res Public Health. 2023 Nov 30;20(23):7127. doi: 10.3390/ijerph20237127.

Abstract

Low-cost optical sensors are used in many countries to monitor fine particulate (PM) air pollution, especially in cities and towns with large spatial and temporal variation due to woodsmoke pollution. Previous peer-reviewed research derived calibration equations for PurpleAir (PA) sensors by co-locating PA units at a government regulatory air pollution monitoring site in Armidale, NSW, Australia, a town where woodsmoke is the main source of PM pollution. The calibrations enabled the PA sensors to provide accurate estimates of PM that were almost identical to those from the NSW Government reference equipment and allowed the high levels of wintertime PM pollution and the substantial spatial and temporal variation from wood heaters to be quantified, as well as the estimated costs of premature mortality exceeding $10,000 per wood heater per year. This follow-up study evaluates eight PA sensors co-located at the same government site to check their accuracy over the following four years, using either the original calibrations, the default woodsmoke equation on the PA website for uncalibrated sensors, or the ALT-34 conversion equation (see text). Minimal calibration drift was observed, with year-round correlations, r = 0.98 ± 0.01, and root mean square error (RMSE) = 2.0 μg/m for daily average PA PM vs. reference equipment. The utitilty of the PA sensors without prior calibration at locations affected by woodsmoke was also demonstrated by the year-round correlations of 0.94 and low RMSE between PA (woodsmoke and ALT-34 conversions) and reference PM at the NSW Government monitoring sites in Orange and Gunnedah. To ensure the reliability of the PA data, basic quality checks are recommended, including the agreement of the two laser sensors in each PA unit and removing any transient spikes affecting only one sensor. In Armidale, from 2019 to 2022, the continuing high spatial variation in the PM levels observed during the colder months was many times higher than any discrepancies between the PA and reference measurements. Particularly unhealthy PM levels were noted in southern and eastern central Armidale. The measurements inside two older weatherboard houses in Armidale showed that high outdoor pollution resulted in high pollution inside the houses within 1-2 h. Daily average PM concentrations available on the PA website allow air pollution at different sites across regions (and countries) to be compared. Such comparisons revealed major elevations in PA PM at Gunnedah, Orange, Monash (Australian Capital Territory), and Christchurch (New Zealand) during the wood heating season. The data for Gunnedah and Muswellbrook suggest a slight underestimation of PM at other times of the year when there are proportionately more dust and other larger particles. A network of appropriately calibrated PA sensors can provide valuable information on the spatial and temporal variation in the air pollution that can be used to identify pollution hotspots, improve estimates of population exposure and health costs, and inform public policy.

摘要

低成本的光学传感器被许多国家用于监测细颗粒物(PM)空气污染,尤其是在空间和时间变化较大的城市和城镇,因为木烟污染。以前的同行评议研究通过在新南威尔士州阿米代尔的一个政府监管空气污染监测点与 PurpleAir(PA)传感器共置,得出了 PA 传感器的校准方程,该城镇的 PM 污染主要来自木烟。这些校准使得 PA 传感器能够提供与新南威尔士州政府参考设备几乎相同的 PM 准确估计值,并能够量化冬季 PM 污染水平较高以及来自木材燃烧器的大量空间和时间变化,以及每年每个木材燃烧器超过 10,000 美元的估计过早死亡成本。这项后续研究评估了在同一政府站点共置的八个 PA 传感器,以检查它们在接下来的四年中的准确性,使用原始校准、PA 网站上未校准传感器的默认木烟方程或 ALT-34 转换方程(见正文)。观察到最小的校准漂移,全年相关性 r = 0.98 ± 0.01,参考设备的每日平均 PA PM 与参考设备的 RMS 误差(RMSE)为 2.0 μg/m。在受木烟影响的地点,PA 传感器无需事先校准的实用性也通过新南威尔士州政府在奥兰治和冈尼达监测站点的 PA(木烟和 ALT-34 转换)与参考 PM 之间的全年相关性为 0.94 和低 RMSE 得到证明。为了确保 PA 数据的可靠性,建议进行基本的质量检查,包括每个 PA 单元中的两个激光传感器的一致性,并去除仅影响一个传感器的任何瞬时尖峰。在阿米代尔,从 2019 年到 2022 年,在较冷月份观察到的 PM 水平的持续高空间变化是 PA 和参考测量之间任何差异的许多倍。在阿米代尔南部和东部中心地区,注意到特别不健康的 PM 水平。在阿米代尔的两个旧木板房屋内的测量表明,室外高污染会导致房屋内 1-2 小时内的高污染。PA 网站上提供的每日平均 PM 浓度允许比较不同地区(和国家)的空气污染。这些比较显示,在木取暖季节,冈尼达、奥兰治、莫纳什(澳大利亚首都领地)和克赖斯特彻奇(新西兰)的 PA PM 大幅升高。冈尼达和马瑟布鲁克的数据表明,在一年中的其他时间,灰尘和其他较大颗粒的比例较大时,PM 可能会略微低估。经过适当校准的 PA 传感器网络可以提供有关空气污染的空间和时间变化的有价值信息,这些信息可用于识别污染热点、改善对人口暴露和健康成本的估计,并为公共政策提供信息。

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