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气象变量和空气污染物对自动花粉采样装置的测量结果的影响
M González-Alonso1, J Oteros2, M Widmann3
1Germany Center of Allergy & Environment (ZAUM), Member of the German Center for Lung Research (DZL), Technical University and Helmholtz Center, Munich 80802, Germany.
The Science of the total environment
|May 2, 2024
概括
自动花粉监测器显示可靠的性能,与天气和空气中的花粉相对应. 设备算法显著影响结果,而空气污染在欧洲大城市的影响很小.
科学领域:
- 环境科学 环境科学
- 航空生物学 航空生物学
- 大气科学 大气科学
背景情况:
- 自动花粉监测设备对于空气生物学研究和过敏管理至关重要.
- 相互比较活动对于评估新兴技术与既定方法的性能至关重要.
- 了解环境影响是优化花粉监测精度的关键.
研究的目的:
- 在 2021 年慕尼黑花粉季期间评估各种自动花粉监测器在 2021 年慕尼黑花粉季节的性能.
- 调查气象因素和空气污染物对自动花粉监测设备准确度的影响.
- 为了比较不同自动花粉监测器及其相关算法与手动赫斯特陷的有效性.
主要方法:
- 在德国慕尼黑进行了一次相互比较活动 (EUMETNET Autopollen COST ADOPT).
- 部署了多个自动花粉监测器 (例如,Plair Rapid-E,Hund-Wetzlar BAA500,Swisens Polenos) 以及四个手动的赫斯特陷.
- 分析数据以将设备性能与气象变量和空气污染物水平相关联.
主要成果:
- 大多数设备显示一致的结果,与环境条件和空气中花粉度相关.
- 在天气模式和花粉水平之间观察到显著的相关性,验证了设备的功能.
- 设备性能根据设计,传感器和算法而异;算法选择显著影响了度输出.
- 在典型的城市水平上,空气污染物对花粉度没有显著影响.
结论:
- 自动花粉监测器可以提供有意义的数据,性能与环境条件密切相关.
- 算法设计在花粉识别和度输出中起着至关重要的作用.
- 虽然天气会影响花粉计数,但在像慕尼黑这样的城市环境中,空气污染对这些设备的影响是次要的.
- 实时设备的未来应用应优先考虑对花粉分类算法的改进.
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