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 …
Synergistic use of earth observation driven techniques to support the implementation of water framework directive in europe: a review
The development of a sustainable water quality monitoring system at national scale remains
a big challenge until today, acting as a hindrance for the efficient implementation of the …
a big challenge until today, acting as a hindrance for the efficient implementation of the …
[HTML][HTML] Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple …
X Nong, C Lai, L Chen, D Shao, C Zhang, J Liang - Ecological Indicators, 2023 - Elsevier
Dissolved oxygen (DO) is an essential indicator for assessing water quality and managing
aquatic environments, but it is still a challenging topic to accurately understand and predict …
aquatic environments, but it is still a challenging topic to accurately understand and predict …
Prediction of long-term water quality using machine learning enhanced by Bayesian optimisation
Water quality assessment is critical to better recognise the importance of water in human
society. In this study, a new framework to predict long-term water quality is proposed by …
society. In this study, a new framework to predict long-term water quality is proposed by …
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 …
A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters
Abstract Information regarding Chlorophyll-a (ChlA) and total nitrogen (TN) is critical for
early warning of algal blooms. However, reliable models for accurate forecasting of the ChlA …
early warning of algal blooms. However, reliable models for accurate forecasting of the ChlA …
Use of the sentinel-2 and landsat-8 satellites for water quality monitoring: An early warning tool in the mar menor coastal lagoon
During recent years, several eutrophication processes and subsequent environmental crises
have occurred in Mar Menor, the largest hypersaline coastal lagoon in the Western …
have occurred in Mar Menor, the largest hypersaline coastal lagoon in the Western …
Taking artificial intelligence into space through objective selection of hyperspectral earth observation applications: To bring the “brain” close to the “eyes” of satellite …
AM Wijata, MF Foulon, Y Bobichon… - … and Remote Sensing …, 2023 - ieeexplore.ieee.org
Recent advances in remote sensing hyperspectral imaging and artificial intelligence (AI)
bring exciting opportunities to various fields of science and industry that can directly benefit …
bring exciting opportunities to various fields of science and industry that can directly benefit …
Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring
SS Mukonza, JL Chiang - Environments, 2023 - mdpi.com
This review paper adopts bibliometric and meta-analysis approaches to explore the
application of supervised machine learning regression models in satellite-based water …
application of supervised machine learning regression models in satellite-based water …
Evaluation of total nitrogen in water via airborne hyperspectral data: potential of fractional order discretization algorithm and discrete wavelet transform analysis
Controlling and managing surface source pollution depends on the rapid monitoring of total
nitrogen in water. However, the complex factors affecting water quality (plant shading and …
nitrogen in water. However, the complex factors affecting water quality (plant shading and …