中欧地区空气中桦树花粉的模拟——模型评价和敏感性分析

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jan Boreczek , Małgorzata Werner , Maciej Kryza , Małgorzata Malkiewicz , Anna Benedictow , Kazimiera Chłopek , Katarzyna Dąbrowska-Zapart , Łukasz Grewling , Agnieszka Lipiec , Ewa Kalinowska , Joanna Rapiejko , Barbara Majkowska-Wojciechowska , Dorota Myszkowska , Krystyna Piotrowska-Weryszko , Małgorzata Puc , Grzegorz Siergiejko , Anna Rapiejko , Alvaro Valdebenito , Elżbieta Weryszko-Chmielewska , Monika Ziemianin
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引用次数: 0

摘要

在这项研究中,我们应用EMEP MSC-W化学运输模型,扩展到包括中欧桦树花粉的排放和分散。模拟运行了连续五个桦树花粉季节(2015-2019),涵盖了不同的浓度制度(高、低或中等季节)。模型预测与波兰12个站点的观测数据进行了比较。与观测结果相比,该模型预测花粉季节的开始和结束日期一致提前,并且普遍低估了花粉浓度和季节性花粉积分(SPIn),特别是在高浓度季节。选取2018年和2019年两个年份进行敏感性分析,调整花粉总量、季节长度(度-天)和季节开始的热和阈值等关键参数。结果表明,改变花粉总量会使花粉浓度成比例地增加,延长季长会使花粉浓度降低,而延长季长会使花粉浓度升高,同时推迟季末时间。调整季节开始的热总和阈值延迟了季节,影响了其整体特征。修改这些参数提高了模型的准确性,特别是在预测季节开始时,这对于准确模拟花粉季节的时间动态至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modelling of airborne birch pollen over Central Europe – model evaluation and sensitivity analysis

Modelling of airborne birch pollen over Central Europe – model evaluation and sensitivity analysis
In this study, we applied the EMEP MSC-W chemical transport model, extended to include birch pollen emissions and dispersion, over Central Europe. Simulations were run for five consecutive birch pollen seasons (2015–2019), covering various concentration regimes (high, low or moderate seasons). Model predictions were compared to observational data from 12 stations located across Poland. The model consistently predicted earlier start and end dates for the pollen season compared to observations, and generally underestimated pollen concentrations and seasonal pollen integrals (SPIn), especially during high-concentration seasons. A sensitivity analysis was conducted for two selected years (2018 and 2019), adjusting key parameters such as total pollen amount, season length in degree-days, and the heat-sum threshold for season onset. Results showed that modifying the total pollen amount proportionally increased concentrations, while extending the season length tended to decrease early season concentrations, and increase late season concentrations, simultaneously delaying the end of the season. Adjusting the heat-sum threshold for the season start delayed the season, impacting its overall characteristics. Modifying these parameters improved model accuracy, particularly in predicting season onset, which was critical for accurately simulating the temporal dynamics of the pollen season.
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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