Prediction of hourly indoor carbon monoxide concentrations by using multivariate methods with sensitivity analysis technique
Joint Authors
al-Bayyumi, Mahir
Harb, Suhayr al-Bayyumi
Source
Israa University Journal of Applied Science
Issue
Vol. 2, Issue 1 (31 Oct. 2018), pp.56-71, 16 p.
Publisher
Israa University Scientific Research Council
Publication Date
2018-10-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
16
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Precise site prediction of indoor hourly carbon monoxide (CO) concentrations in school buildings is a key issue in air quality research nowadays due to its impact on children’s health.
In this study multivariate statistical methods, multiple linear regression (MLR) and principle component analysis (PCA), were employed to predict hourly indoor CO concentration in Gaza Strip, Palestine.
Measurements were carried in 12 schools from October 2012 to May 2013 (one academic year).
The results suggested that the selected models are effective forecasting tools and hence can be applicable for short-term forecasting of indoor CO level.
The predicted indoor CO concentration values agree strongly well with the measured data with high coefficients of determination (R2) 0.869, 0.870 for MLR and PCA-MLR (PCR) respectively.
Overall, results showed that PCA model combined with MLR improved MLR model of predicting indoor CO concentration, with reduced errors by as much as 7.14%.
American Psychological Association (APA)
al-Bayyumi, Mahir& Harb, Suhayr al-Bayyumi. 2018. Prediction of hourly indoor carbon monoxide concentrations by using multivariate methods with sensitivity analysis technique. Israa University Journal of Applied Science،Vol. 2, no. 1, pp.56-71.
https://search.emarefa.net/detail/BIM-1293532
Modern Language Association (MLA)
al-Bayyumi, Mahir& Harb, Suhayr al-Bayyumi. Prediction of hourly indoor carbon monoxide concentrations by using multivariate methods with sensitivity analysis technique. Israa University Journal of Applied Science Vol. 2, no. 1 (Oct. 2018), pp.56-71.
https://search.emarefa.net/detail/BIM-1293532
American Medical Association (AMA)
al-Bayyumi, Mahir& Harb, Suhayr al-Bayyumi. Prediction of hourly indoor carbon monoxide concentrations by using multivariate methods with sensitivity analysis technique. Israa University Journal of Applied Science. 2018. Vol. 2, no. 1, pp.56-71.
https://search.emarefa.net/detail/BIM-1293532
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 69-71
Record ID
BIM-1293532