کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6961976 1452244 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling background air pollution exposure in urban environments: Implications for epidemiological research
ترجمه فارسی عنوان
مدل سازی پس زمینه آلودگی هوا در محیط های شهری: پیامدهایی برای تحقیقات اپیدمیولوژیک
کلمات کلیدی
تکنیک های خوشه بندی، آلودگی پس زمینه، کیفیت هوا، تجزیه و تحلیل سری زمان، گرفتن در معرض، خطر سلامت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
Background pollution represents the lowest levels of ambient air pollution to which the population is chronically exposed, but few studies have focused on thoroughly characterizing this regime. This study uses clustering statistical techniques as a modelling approach to characterize this pollution regime while deriving reliable information to be used as estimates of exposure in epidemiological studies. The background levels of four key pollutants in five urban areas of Andalusia (Spain) were characterized over an 11-year period (2005-2015) using four widely-known clustering methods. For each pollutant data set, the first (lowest) cluster representative of the background regime was studied using finite mixture models, agglomerative hierarchical clustering, hidden Markov models (hmm) and k-means. Clustering method hmm outperforms the rest of the techniques used, providing important estimates of exposures related to background pollution as its mean, acuteness and time incidence values in the ambient air for all the air pollutants and sites studied.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 106, August 2018, Pages 13-21
نویسندگان
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