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
{"title":"中欧地区空气中桦树花粉的模拟——模型评价和敏感性分析","authors":"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","doi":"10.1016/j.scitotenv.2025.179873","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"990 ","pages":"Article 179873"},"PeriodicalIF":8.0000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling of airborne birch pollen over Central Europe – model evaluation and sensitivity analysis\",\"authors\":\"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\",\"doi\":\"10.1016/j.scitotenv.2025.179873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":\"990 \",\"pages\":\"Article 179873\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2025-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0048969725015141\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048969725015141","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.