کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6337937 | 1620360 | 2015 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spatial and temporal variability of ultrafine particles, NO2, PM2.5, PM2.5 absorbance, PM10 and PMcoarse in Swiss study areas
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کلمات کلیدی
PM2.5LDSASAPALDIAPM10Spatial contrastPNCUFPAir pollution - آلودگی هواEuropean Union - اتحادیه اروپاExposure assessment - ارزیابی قرار گرفتن در معرضTraffic - ترافیکAbsorbance - جذبUltrafine particles - ذرات UltrafineCoarse particles - ذرات درشتparticulate matter - ذرات معلقRelative humidity - رطوبت نسبیLand use regression - رگرسیون استفاده از زمینSwitzerland - سوئیسCoefficient of Variation - ضریب تغییرLUR - لورNO2 - نیتروژن دیاکسید
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Spatial and temporal variability of ultrafine particles, NO2, PM2.5, PM2.5 absorbance, PM10 and PMcoarse in Swiss study areas Spatial and temporal variability of ultrafine particles, NO2, PM2.5, PM2.5 absorbance, PM10 and PMcoarse in Swiss study areas](/preview/png/6337937.png)
چکیده انگلیسی
Within-area spatial contrasts (defined as the ratio between the 90th and 10th percentile) were highest for NO2 (3.14), moderate for PMcoarse (2.19), PNC (2.00) and PM2.5 absorbance (1.94), and lowest for LDSA (1.63), PM2.5 (1.50) and PM10 (1.46). Concentrations in the larger cities were generally higher than in smaller towns and rural and alpine areas, and were higher in the winter than in the summer and intermediate seasons, for all pollutants. Between-area differences accounted for more variation than within-area differences for all pollutants except NO2 and PMcoarse. Despite substantial within-area contrasts for PNC and LDSA, 74.7% and 83.3% of the spatial variance was attributed to between-area variability, respectively. Coefficients of determination between long-term adjusted pollutants were high (R²>0.70) between NO2, PM2.5 absorbance, PNC and LDSA and between PM2.5 and PM10. The measurement of spatial patterns for this large range of outdoor air pollutants will contribute to a highly standardized estimation of individual long-term exposure levels for SAPALDIA cohort participants.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Environment - Volume 111, June 2015, Pages 60-70
Journal: Atmospheric Environment - Volume 111, June 2015, Pages 60-70
نویسندگان
Marloes Eeftens, Harish C. Phuleria, Reto Meier, Inmaculada Aguilera, Elisabetta Corradi, Mark Davey, Regina Ducret-Stich, Martin Fierz, Robert Gehrig, Alex Ineichen, Dirk Keidel, Nicole Probst-Hensch, Martina S. Ragettli, Christian Schindler,