Application of machine learning in groundwater quality modeling-A comprehensive review
Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …
prediction of groundwater pollution due to various chemical components is vital for planning …
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 …
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an …
Watershed management decisions need robust methods, which allow an accurate predictive
modeling of pollutant occurrences. Random Forest (RF) is a powerful machine learning data …
modeling of pollutant occurrences. Random Forest (RF) is a powerful machine learning data …
A study of assessment and prediction of water quality index using fuzzy logic and ANN models
Various human activities have been the main causes of surface water pollution. The uneven
distribution of industrial enterprises in the territories of the main river basins of Ukraine do …
distribution of industrial enterprises in the territories of the main river basins of Ukraine do …
Groundwater level simulation using soft computing methods with emphasis on major meteorological components
Precise estimation of groundwater level (GWL) might be of great importance for attaining
sustainable development goals and integrated water resources management. Compared …
sustainable development goals and integrated water resources management. Compared …
Intelligent soft computational models integrated for the prediction of potentially toxic elements and groundwater quality indicators: a case study
JC Agbasi, JC Egbueri - Journal of sedimentary environments, 2023 - Springer
Reports have shown that potentially toxic elements (PTEs) in air, water, and soil systems
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
Artificial neural network modeling approach for the prediction of five-day biological oxygen demand and wastewater treatment plant performance
The measurement of the wastewater BOD5 level requires five days, and the use of a
prediction model to estimate BOD5 saves time and enables the adoption of an online control …
prediction model to estimate BOD5 saves time and enables the adoption of an online control …
Artificial neural network approach for predicting reverse osmosis desalination plants performance in the Gaza Strip
AM Aish, HA Zaqoot, SM Abdeljawad - Desalination, 2015 - Elsevier
A rapidly growing technique for producing new water is desalination of seawater and
brackish water. In the Gaza Strip the maximum amount of the drinking water is produced …
brackish water. In the Gaza Strip the maximum amount of the drinking water is produced …
Modelling and optimization of fenton process for decolorization of azo dye (DR16) at microreactor using artificial neural network and genetic algorithm
The Fenton process is widely employed for decolorizing industrial wastewater. Therefore, it
is imperative to construct a model for optimizing the operational parameters and estimating …
is imperative to construct a model for optimizing the operational parameters and estimating …
Application of soft computing models for simulating nitrate contamination in groundwater: comprehensive review, assessment and future opportunities
Groundwater is one of the major resources to supply the agriculture and urban water
demand. Vulnerability of groundwater resources due to chemical substances is a crucial …
demand. Vulnerability of groundwater resources due to chemical substances is a crucial …