Control limit detection for source apportionment in Perlis River Basin, Malaysia

• Main Authors: Samsudin, Mohd Saiful, Khalit, Saiful Iskandar, Azid, Azman, Juahir, Hafizan, Mohd Saudi, Ahmad Shakir, Sharip, Zati, Zaudi, Muhammad Amar
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2017
• Online Access: http://psasir.upm.edu.my/id/eprint/64093/1/Control%20limit%20detection%20for%20source%20apportionment%20in%20Perlis%20River%20Basin%2C%20Malaysia.pdf; http://psasir.upm.edu.my/id/eprint/64093/; https://mjfas.utm.my/index.php/mjfas/article/view/687

This study presents the application of selected environmetric in the Perlis River Basin. The results show PCA extracted nine principal components (PCs) with eigenvalues greater than one, which equates to about 77.15% of the total variance in the water-quality data set. The absolute principal compone...