A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
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 index (WQI) describes several water quality variables at a certain aquatic …
A multi-model study for understanding the contamination mechanisms, toxicity and health risks of hardness, sulfate, and nitrate in natural water resources
JC Egbueri - Environmental Science and Pollution Research, 2023 - Springer
Several water quality contaminants have attracted the attention of numerous researchers
globally, in recent times. Although the toxicity and health risk assessments of sulfate and …
globally, in recent times. Although the toxicity and health risk assessments of sulfate and …
Hybrid adaptive neuro-fuzzy models for water quality index estimation
Soft computing models are known as an efficient tool for modelling temporal and spatial
variation of surface water quality variables and particularly in rivers. These model's …
variation of surface water quality variables and particularly in rivers. These model's …
From data to action in flood forecasting leveraging graph neural networks and digital twin visualization
NS Roudbari, SR Punekar, Z Patterson, U Eicker… - Scientific reports, 2024 - nature.com
Forecasting floods encompasses significant complexity due to the nonlinear nature of
hydrological systems, which involve intricate interactions among precipitation, landscapes …
hydrological systems, which involve intricate interactions among precipitation, landscapes …
Performances of MLR, RBF-NN, and MLP-NN in the evaluation and prediction of water resources quality for irrigation purposes under two modeling scenarios
JC Egbueri, JC Agbasi - Geocarto International, 2022 - Taylor & Francis
One of the pivotal decision-making tools for sustainable management of water resources for
various uses is accurate prediction of water quality. In the present paper, multiple linear …
various uses is accurate prediction of water quality. In the present paper, multiple linear …
Prediction and evaluation of groundwater characteristics using the radial basic model in Semi-arid region, India
B Panneerselvam, K Muniraj, C Pande… - International Journal …, 2023 - Taylor & Francis
Accuracy in groundwater quality monitoring plays a vital and decisive role in environment
eco-system, human health and agriculture practices. The present study aims to identify the …
eco-system, human health and agriculture practices. The present study aims to identify the …
An integral and multidimensional review on multi-layer perceptron as an emerging tool in the field of water treatment and desalination processes
An increase in population leads to an increase in the water demand. Technological
advancements are racing to address water shortages. Recent advances in deep learning …
advancements are racing to address water shortages. Recent advances in deep learning …
Comparison between regression models, support vector machine (SVM), and artificial neural network (ANN) in river water quality prediction
Both anthropogenic and natural sources of pollution are regionally significant. Therefore, in
order to monitor and protect the quality of Langat River from deterioration, we use Artificial …
order to monitor and protect the quality of Langat River from deterioration, we use Artificial …
Application of soft computing to predict water quality in wetland
Prediction of water quality is a critical issue because of its significant impact on human and
ecosystem health. This research aims to predict water quality index (WQI) for the free surface …
ecosystem health. This research aims to predict water quality index (WQI) for the free surface …