Determination of the forecasting-model parameters by statistical analysis for development of algae warning system

• Main Authors: Lee, Gooyong, Othman, Faridah, Ibrahim, Shaliza, Jang, Min
• Format: Article
• Published: Taylor & Francis 2016
• Subjects: TA Engineering (General). Civil engineering (General); TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.um.edu.my/17756/; http://dx.doi.org/10.1080/19443994.2016.1190106

The aim of this study is to determinate optimal model parameters for prediction of long-term forward (>1 month) chlorophyll-a (Chl-a) concentration in lakes. To optimize model parameters, water quality data from 93 lakes in South Korea were collected and analyzed. Among the 93 lakes, 30 problemat...