在希腊塞萨洛尼基预测Olea和Quercus花粉季节的比较建模方法
S Papadogiannaki1, K Karatzas2, S Kontos3
1Laboratory of Atmospheric Physics, School of Physics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece. spapadog@physics.auth.gr.
Scientific reports
|April 10, 2025
概括
预测地中海地区橄树和树花粉季节是一个挑战. 热时间和PLS模型准确预测主要花粉季节 (MPS),有助于公共卫生和过敏原管理.
科学领域:
- 航空生物学 航空生物学
- 过敏原监测监测过敏原的监测
- 现象学 现象学是指现象学.
背景情况:
- 橄 (Olea europaea L.) 和树 (Quercus) 是地中海地区空气中的过敏原花粉的重要来源.
- 准确预测它们的主要花粉季节 (MPS) 对公共卫生和过敏原管理至关重要,但仍然具有挑战性.
研究的目的:
- 评估和比较各种预测方法来预测橄和树主要花粉季节 (MPS).
- 确定影响花粉季节时间和持续时间的关键气象因素.
主要方法:
- 来自希腊塞萨洛尼基的花粉数据 (2016-2022) 和气象数据 (ERA5 ECMWF) 的分析.
- 热时间 (TT),温度-光周期 (TP) 和部分最小平方回归 (PLS) 模型的应用.
- 整合冷却和热的要求,用于预测建模.
主要成果:
- 橄MPS的平均持续时间为58天 (4月初至5月中旬),木MPS为55天 (3月底至4月底).
- 结合的TT和PLS模型提供了最强大的MPS预测.
- 春季和之前的秋季温度显著影响了MPS时间,冷却需求约为1187小时.
结论:
- 预测模型,特别是TT和PLS,对于预测橄树和树MPS是有效的.
- 局部空气生物学研究对于准确的过敏原预测和管理至关重要.
- 了解现象驱动因素有助于对花粉过敏的公共卫生规划.
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