Integrating water quality and operation into prediction of water production in drinking water treatment plants by genetic algorithm enhanced artificial neural network
Stringent regulations and deteriorating source water quality could greatly influence the water
production capacity of drinking water treatment plants (DWTPs). Using models to predict the …
production capacity of drinking water treatment plants (DWTPs). Using models to predict the …
Enhancing real-time prediction of effluent water quality of wastewater treatment plant based on improved feedforward neural network coupled with optimization …
Y Xie, Y Chen, Q Lian, H Yin, J Peng, M Sheng… - Water, 2022 - mdpi.com
To provide real-time prediction of wastewater treatment plant (WWTP) effluent water quality,
a machine learning (ML) model was developed by combining an improved feedforward …
a machine learning (ML) model was developed by combining an improved feedforward …
Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data
Prediction of dissolved oxygen (DO) and total dissolved solids (TDS) are of paramount
importance for water environmental protection and analysis of the ecosystem. The traditional …
importance for water environmental protection and analysis of the ecosystem. The traditional …
A review of the artificial neural network models for water quality prediction
Water quality prediction plays an important role in environmental monitoring, ecosystem
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …
Modelling and prediction of water quality by using artificial intelligence
M Hmoud Al-Adhaileh, F Waselallah Alsaade - Sustainability, 2021 - mdpi.com
Artificial intelligence methods can remarkably reduce costs for water supply and sanitation
systems and help ensure compliance with the quality of drinking and wastewater treatment …
systems and help ensure compliance with the quality of drinking and wastewater treatment …
Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
In recent decades, various conventional techniques have been formulated around the world
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
[HTML][HTML] Predicting quality parameters of wastewater treatment plants using artificial intelligence techniques
Estimating wastewater treatment plants'(WWTPs) influent parameters such as 5-day
biological oxygen demand (BOD 5) and chemical oxygen demand (COD) is vital for …
biological oxygen demand (BOD 5) and chemical oxygen demand (COD) is vital for …
Predictive modeling approach for surface water quality: development and comparison of machine learning models
Water pollution is an increasing global issue that societies are facing and is threating human
health, ecosystem functions and agriculture production. The distinguished features of …
health, ecosystem functions and agriculture production. The distinguished features of …
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Water quality monitoring is an important component of water resources management. In
order to predict two water quality variables, namely dissolved oxygen (DO; mg/L) and …
order to predict two water quality variables, namely dissolved oxygen (DO; mg/L) and …
A hybrid model for water quality prediction based on an artificial neural network, wavelet transform, and long short-term memory
J Wu, Z Wang - Water, 2022 - mdpi.com
Clean water is an indispensable essential resource on which humans and other living
beings depend. Therefore, the establishment of a water quality prediction model to predict …
beings depend. Therefore, the establishment of a water quality prediction model to predict …