Water quality index using modified random forest technique: Assessing novel input features

• Main Authors: Wong, Wen Yee, Al-Ani, Ayman Khallel Ibrahim, Hasikin, Khairunnisa, Mohd Khairuddin, Anis Salwa, Abdul Razak, Sarah, Hizaddin, Hanee Farzana, Mokhtar, Mohd Istajib, Azizan, Muhammad Mokhzaini
• Format: Article
• Published: Tech Science Press 2022
• Subjects: TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.um.edu.my/41705/

Water quality analysis is essential to understand the ecological status of aquatic life. Conventional water quality index (WQI) assessment methods are limited to features such as water acidic or basicity (pH), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), ammon...