Evaluation for Long Term PM10 Concentration Forecasting using Multi Linear Regression (MLR) and Principal Component Regression (PCR) Models

Evaluation for Long Term PM10 Concentration Forecasting using Multi Linear Regression (MLR) and Principal Component Regression (PCR) Models

Air pollution in Peninsular Malaysia is dominated by particulate matter which is demonstrated by having the highest Air Pollution Index (API) value compared to the other pollutants at most part of the country. Particulate Matter (PM10) forecasting models development is crucial because it allows the...

Full description

Bibliographic Details
Main Authors: Samsuri Abdullah, Marzuki Ismail, Si Yuen Fong, Al Mahfoodh Ali Najah Ahmed
Format: Article
Language:English
Published: Thai Society of Higher Eduction Institutes on Environment 2016-07-01
Series:EnvironmentAsia
Subjects:
particulate matter
forecasting
air quality
Kuala Terengganu
Malaysia
Online Access:http://tshe.org/ea/pdf/vol9no2-12.pdf

Internet

http://tshe.org/ea/pdf/vol9no2-12.pdf

Similar Items