Advances in catchment science, hydrochemistry, and aquatic ecology enabled by high-frequency water quality measurements
High-frequency water quality measurements in streams and rivers have expanded in scope
and sophistication during the last two decades. Existing technology allows in situ automated …
and sophistication during the last two decades. Existing technology allows in situ automated …
[HTML][HTML] Critical review on water quality analysis using IoT and machine learning models
Water quality and its management are the most precise concerns confronting humanity
globally. This article evaluates the various sensors used for water quality monitoring and …
globally. This article evaluates the various sensors used for water quality monitoring and …
[HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
With the significant increase in WQI applications worldwide and lack of specific application
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
Water quality classification using machine learning algorithms
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …
[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 …
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
Prediction of groundwater quality using efficient machine learning technique
To ensure safe drinking water sources in the future, it is imperative to understand the quality
and pollution level of existing groundwater. The prediction of water quality with high …
and pollution level of existing groundwater. The prediction of water quality with high …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
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 …