A Biplot-Based PCA Approach to Study the Relations between Indoor and Outdoor Air Pollutants Using Case Study Buildings
العنوان: | A Biplot-Based PCA Approach to Study the Relations between Indoor and Outdoor Air Pollutants Using Case Study Buildings |
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المؤلفون: | Ravi S. Srinivasan, He Zhang |
المصدر: | Buildings Volume 11 Issue 5 Buildings, Vol 11, Iss 218, p 218 (2021) |
بيانات النشر: | Multidisciplinary Digital Publishing Institute, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Building construction, 010504 meteorology & atmospheric sciences, Biplot, principal component analysis, Outdoor air quality, air pollution, Air pollution, Building and Construction, 010501 environmental sciences, medicine.disease_cause, 01 natural sciences, Correlation, Indoor air quality, Air pollutants, Architecture, Correlation analysis, Principal component analysis, Statistics, medicine, Environmental science, TH1-9745, 0105 earth and related environmental sciences, Civil and Structural Engineering, indoor air quality, biplot |
الوصف: | The 24 h and 14-day relationship between indoor and outdoor PM2.5, PM10, NO2, relative humidity, and temperature were assessed for an elementary school (site 1), a laboratory (site 2), and a residential unit (site 3) in Gainesville city, Florida. The primary aim of this study was to introduce a biplot-based PCA approach to visualize and validate the correlation among indoor and outdoor air quality data. The Spearman coefficients showed a stronger correlation among these target environmental measurements on site 1 and site 2, while it showed a weaker correlation on site 3. The biplot-based PCA regression performed higher dependency for site 1 and site 2 (p < 0.001) when compared to the correlation values and showed a lower dependency for site 3. The results displayed a mismatch between the biplot-based PCA and correlation analysis for site 3. The method utilized in this paper can be implemented in studies and analyzes high volumes of multiple building environmental measurements along with optimized visualization. |
وصف الملف: | application/pdf |
اللغة: | English |
تدمد: | 2075-5309 |
DOI: | 10.3390/buildings11050218 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3bb09a938964bc3334d2d8ca081eeac |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....b3bb09a938964bc3334d2d8ca081eeac |
قاعدة البيانات: | OpenAIRE |
تدمد: | 20755309 |
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DOI: | 10.3390/buildings11050218 |