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 …
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 …
Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm
Groundwater resources constitute the main source of clean fresh water for domestic use and
it is essential for food production in the agricultural sector. Groundwater has a vital role for …
it is essential for food production in the agricultural sector. Groundwater has a vital role for …
Improving prediction of groundwater quality in situations of limited monitoring data based on virtual sample generation and Gaussian process regression
J Zhang, C **ao, W Yang, X Liang, L Zhang, X Wang… - Water Research, 2024 - Elsevier
The increasing pollution of aquifers by human activities over recent decades poses a threat
to drinking water safety. While Gaussian Process Regression (GPR) is a robust tool for …
to drinking water safety. While Gaussian Process Regression (GPR) is a robust tool for …
A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction
Predictive modeling of hydrological time series is essential for groundwater resource
development and management. Here, we examined the comparative merits and demerits of …
development and management. Here, we examined the comparative merits and demerits of …
Comparison of machine learning models for predicting fluoride contamination in groundwater
Groundwater is an especially important freshwater source for water supplies in the Maku
area of northwest Iran. The groundwater of the area contains high concentrations of fluoride …
area of northwest Iran. The groundwater of the area contains high concentrations of fluoride …
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 …
Application of artificial intelligence for the management of landfill leachate penetration into groundwater, and assessment of its environmental impacts
The current research was an effort to simulate landfill leachate penetration into groundwater
using fuzzy logic and neural network modeling approaches. The obtained models were …
using fuzzy logic and neural network modeling approaches. The obtained models were …
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 …