Water quality prediction plays an important role in environmental monitoring, ecosystem
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …

This review presents machine learning (ML) approaches from an applied economist's
perspective. We first introduce the key ML methods drawing connections to econometric …

Water quality prediction is vital for solving water pollution and protecting the water
environment. In terms of the characteristics of nonlinearity, instability, and randomness of …

Algal bloom is a significant issue when managing water quality in freshwater; specifically,
predicting the concentration of algae is essential to maintaining the safety of the drinking …

Estimating water quality has been one of the significant challenges faced by the world in
recent decades. This paper presents a water quality prediction model utilizing the principal …

Excellent water quality (WQ) is an indispensable element in ensuring sustainable water
resource development. It is highly associated with the 3rd (good health and well-being), the …

Natural water sources like ponds, lakes and rivers are facing a great threat because of
activities like discharge of untreated industrial effluents, sewage water, wastes, etc. It is …

Predicting water quality accurately is of utmost importance in water resource management.
This study focuses on the prediction of water quality parameters such as the dissolved …

Water quality prediction is an effective method for managing and protecting water resources
by providing an early warning against water quality deterioration. In general, the existing …

Water quality control and management in water resources are important for providing clean
and safe water to the public. Due to their large area, collection, analysis, and management …