IJEP 42(10): 1268-1271 : Vol. 42 Issue. 10 (October 2022)
1. Burapha University, Department of Mathematics, Faculty of Science, Chonburi, Thailand
2. Centre of Excellence in Mathematics, Commission on Higher Education, Ratchathewi, Bangkok, Thailand
Dissolved oxygen (DO) values in Bang Pakong river located in the east of Thailand were determined by multiple regression analysis. The collected data was split into 2 sets to cogitate which were training and validation sets. The stations of water quality monitoring for each set were breakdown into 4 periods: January-March, April-June, July-September and October-December. The prediction of DO in each period using data in the first set were remarkably achieved as 4 equations with the subsequent regression standard errors of 0.7342, 0.4349, 0.6436 and 0.4319 as well as the adjusted coefficients of determination of 0.3760, 0.8670, 0.2480 and 0.7320, respectively. The prediction accuracy was definitely measured by 4 performance indexes: mean absolute percentage error, mean absolute error, root mean squared error and mean squared error in each period (1st period: 0.1416, 11.0695, 1.5781, 2.4905; 2nd period: 0.2882, 9.7404, 1.3987, 1.9562; 3rd period: 0.2933, 8.6648, 1.3806, 1.9060; 4th period: 0.2454, 6.3330, 0.8890, 0.7903), accordingly applying data in the second set.
Water quality index, Dissolved oxygen
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