Multivariate methods for indoor PM10 and PM2.5 modelling in naturally ventilated schools buildings

Atmospheric Environment

Volumn 94, Issue , 2014, Pages 11-21

  Elbayoumi, Maher ^a   Ramli, Nor Azam ^a   Md Yusof, Noor Faizah Fitri ^a   Yahaya, Ahmad Shukri Bin ^a   Al Madhoun, Wesam ^b   Ul Saufie, Ahmed Zia ^c  

^a SCHOOL OF PHYSICS   (Malaysia)

^b ISLAMIC UNIVERSITY OF GAZA   (Palestine)

^c UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Air pollution; PCA; Regression models

Indexed keywords

AIR POLLUTION; CARBON DIOXIDE; LINEAR REGRESSION;

METEOROLOGICAL VARIABLES; MULTIPLE LINEAR REGRESSIONS; MULTIVARIATE STATISTICAL METHOD; OUTDOOR CONCENTRATIONS; PCA; PERFORMANCE INDICATORS; PRINCIPAL COMPONENT REGRESSION; REGRESSION MODEL;

PRINCIPAL COMPONENT ANALYSIS;

CARBON DIOXIDE; CARBON MONOXIDE;

BUILDING; CONCENTRATION (COMPOSITION); HUMAN ACTIVITY; INDOOR AIR; MULTIVARIATE ANALYSIS; PARTICULATE MATTER; STATISTICAL ANALYSIS; VENTILATION;

AIR TEMPERATURE; ARTICLE; BIVARIATE ANALYSIS; CONCENTRATION (PARAMETERS); CORRELATION ANALYSIS; HUMIDITY; INDOOR AIR POLLUTION; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; PARTICULATE MATTER; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SCHOOL; SEASONAL VARIATION; STATISTICAL ANALYSIS; WIND;

GAZA STRIP; OCCUPIED TERRITORIES;

EID: 84900841050     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2014.05.007     Document Type: Article

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