Wen Yee Wong1, Ayman Khallel Ibrahim Al-Ani1, Khairunnisa Hasikin1,*, Anis Salwa Mohd Khairuddin2, Sarah Abdul Razak3, Hanee Farzana Hizaddin4, Mohd Istajib Mokhtar5, Muhammad Mokhzaini Azizan6
CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 1011-1038, 2022, DOI:10.32604/cmes.2022.019244
Abstract 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), ammoniacal nitrogen (NH3-N), and
suspended solids (SS). These features are often insufficient to represent the water quality of a heavy metal–polluted
river. Therefore, this paper aims to explore and analyze novel input features in order to formulate an improved
WQI. In this work, prospective insights on the feasibility of alternative water quality input variables as new
discriminant features… More >
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