Application of regression and correlation models for the rapid assessment of the water quality of Laguna de Bay
Date of Publication
2001
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Civil Engineering
College
Gokongwei College of Engineering
Department/Unit
Civil Engineering
Abstract/Summary
This study aims to develop regression models for the rapid assessment of water quality of Laguna De Bay. Four techniques in regression were tried to obtain the best regression models through the study of correlation and regression among the lake's water quality parameters: Five-Day Biochemical Oxygen Demand (BOD5), Dissolved Oxygen (DO), Total Suspended Solids (TSS), Temperature (Temp), Nitrates, Chloride and pH level. However, the study only found models for four sampling stations only excluding South bay, which showed no notable correlation. Each parameter selected was taken as dependent variable one at a time. The results were based on the linear, multiple linear, polynomial and exponential regression analyses performed on the water quality results of the 252 samples collected by the Laguna Lake Development Authority. These samples were taken from the five monitoring stations in the lake from January 1996 to December 1998.
Abstract Format
html
Language
English
Format
Accession Number
TU10781
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
52 numb. leaves ; Computer print-out.
Recommended Citation
Bautista, J., Dizon, D. B., & Mangahas, J. P. (2001). Application of regression and correlation models for the rapid assessment of the water quality of Laguna de Bay. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11639
