文章基本信息

标题：Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations
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作者：Bartosz Czernecki ; Michał Marosz ; Joanna Jędruszkiewicz 等
期刊名称：Aerosol and Air Quality Research
印刷版ISSN：1680-8584
出版年度：2021
卷号：21
期号：7
页码：1-18
DOI：10.4209/aaqr.200586
语种：English
出版社：Chinese Association for Aerosol Research in Taiwan
摘要：Air pollution continues to have a significant impact on Europeans living in urban areas, and episodes of elevated PMx are responsible for a large number of premature deaths (mostly due to heart disease and stroke) each year. According to the annual EEA reports, Poland is one of the most polluted countries in Europe, experiencing high PMx concentrations during winter that mostly result from large emissions and unfavourable weather conditions in combination with environmental features. Thus, in addition to implementing municipal mitigation strategies, alerting residents to pollution episodes through accurate PMx forecasting is necessary.
关键词：PM10;PM2.5;Air quality;Machine learning;Shortterm forecasting