The management of river water quality is one the most significant environmental challenges.
Water quality index (WQI) describes several water quality variables at a certain aquatic …

Water quality prediction plays an important role in modern intensive river crab aquaculture
management. Due to the nonlinearity and non-stationarity of water quality indicator series …

Water environment time series prediction is important to efficient water resource
management. Traditional water quality prediction is mainly based on linear models …

The main objective of this study is to apply artificial neural network (ANN) and wavelet-
neural network (WNN) models for predicting a variety of ocean water quality parameters. In …

As an environmental parameter, the chlorophyll-a concentration (Chl-a) is essential for
monitoring water quality and managing the marine ecosystem. However, current mainstream …

Prediction of biochemical oxygen demand (BOD) as the main pollution indicators of organic
pollution in freshwater resources is necessary. In the present work, a hybrid wavelet-genetic …

The prediction of water quality has great significance for the management of water
environment and the protection of water resources. Traditional water quality prediction …

The prediction of accurate water quality has great significance to the sustainable
management of water resources and pollution prevention. Due to the complexity of water …

Abstract Hyriopsis Cumingii is Chinese major fresh water pearl mussel, widely distributed in
the southern provinces of China's large and medium-sized freshwater lakes. In the …

Dissolved oxygen (DO) concentration is an important indicator for monitoring water quality. A
reliable prediction of DO concentration has significant implications for safeguarding human …