Characterization of background air pollution exposure in urban environments using a metric based on Hidden Markov Models
| العنوان: | Characterization of background air pollution exposure in urban environments using a metric based on Hidden Markov Models |
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| المؤلفون: | José C.M. Pires, Rafael Pino-Mejías, Álvaro Gómez-Losada |
| المساهمون: | Faculdade de Engenharia |
| المصدر: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| بيانات النشر: | Elsevier BV, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Environmental engineering [Engineering and technology], Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, Alterações globais, Ciências da terra e ciências do ambiente, Engenharia do ambiente, Air pollution, Ciências da terra e ciências do ambiente [Ciências exactas e naturais], 010501 environmental sciences, Urban area, medicine.disease_cause, Atmospheric sciences, 01 natural sciences, Air pollutants, medicine, Hidden Markov model, 0105 earth and related environmental sciences, General Environmental Science, Exposure assessment, Pollutant, geography, geography.geographical_feature_category, Air pollutant concentrations, Engenharia do ambiente [Ciências da engenharia e tecnologias], Earth and related Environmental sciences [Natural sciences], Environmental science, Metric (unit), Global change, Earth and related Environmental sciences, Environmental engineering |
| الوصف: | Urban area air pollution results from local air pollutants (from different sources) and horizontal transport (background pollution). Understanding urban air pollution background (lowest) concentration profiles is key in population exposure assessment and epidemiological studies. To this end, air pollution registered at background monitoring sites is studied, but background pollution levels are given as the average of the air pollutant concentrations measured at these sites over long periods of time. This short communication shows how a metric based on Hidden Markov Models (HMMs) can characterise the air pollutant background concentration profiles. HMMs were applied to daily average concentrations of CO, NO2, PM10 and SO2 at thirteen urban monitoring sites from three cities from 2010 to 2013. Using the proposed metric, the mean values of background and ambient air pollution registered at these sites for these primary pollutants were estimated and the ratio of ambient to background air pollution and the difference between them were studied. The ratio indicator for the studied air pollutants during the four-year study sets the background air pollution at 48%-69% of the ambient air pollution, while the difference between these values ranges from 101 to 193 mu g/m(3), 7-12 mu g/m(3),11-13 mu g/m(3) and 2-3 mu g/m(3) for CO, NO2, PM10 and SO2, respectively. |
| وصف الملف: | application/pdf |
| تدمد: | 1352-2310 |
| DOI: | 10.1016/j.atmosenv.2015.12.046 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a26a2e148210d7713a679e032adca4c6 https://doi.org/10.1016/j.atmosenv.2015.12.046 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....a26a2e148210d7713a679e032adca4c6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13522310 |
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| DOI: | 10.1016/j.atmosenv.2015.12.046 |