A comprehensive review of water quality indices (WQIs): history, models, attempts and perspectives
Water quality index (WQI) is one of the most used tools to describe water quality. It is based
on physical, chemical, and biological factors that are combined into a single value that …
on physical, chemical, and biological factors that are combined into a single value that …
Predicting water quality with artificial intelligence: a review of methods and applications
D Irwan, M Ali, AN Ahmed, G Jacky, A Nurhakim… - … Methods in Engineering, 2023 - Springer
The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …
daily activities such as drinking. The water quality has a significant impact on various …
[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
[HTML][HTML] Assessing optimization techniques for improving water quality model
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …
assess frequently. The Water quality index (WQI) model is one of the most widely used …
Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland
This study aims to evaluate existing approaches for monitoring and assessing water quality
in waterbodies in the North of Ireland using newly developed methodologies. The results …
in waterbodies in the North of Ireland using newly developed methodologies. The results …
Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
S Kouadri, CB Pande, B Panneerselvam… - … Science and Pollution …, 2022 - Springer
Forecasting the irrigation groundwater parameters helps plan irrigation water and crop, and
it is commonly expensive because it needs various parameters, mainly in developing …
it is commonly expensive because it needs various parameters, mainly in developing …
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
A variety of water quality indices have been used to assess the state of waterbodies all over
the world. In calculating a Water Quality Index (WQI), traditional methods require the …
the world. In calculating a Water Quality Index (WQI), traditional methods require the …
Water quality assessment and pollution threat to safe water supply for three river basins in Malaysia
Pollution in raw water poses increasing threats to safe water supply in many developing
countries. Therefore, a comprehensive water quality assessment is essential to provide …
countries. Therefore, a comprehensive water quality assessment is essential to provide …
An ensemble machine learning model for water quality estimation in coastal area based on remote sensing imagery
The accurate estimation of coastal water quality parameters (WQPs) is crucial for decision-
makers to manage water resources. Although various machine learning (ML) models have …
makers to manage water resources. Although various machine learning (ML) models have …
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …