[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
Global river water quality under climate change and hydroclimatic extremes
Climate change and extreme weather events (such as droughts, heatwaves, rainstorms and
floods) pose serious challenges for water management, in terms of both water resources …
floods) pose serious challenges for water management, in terms of both water resources …
A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
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 …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
SBHS Asadollah, A Sharafati, D Motta… - Journal of environmental …, 2021 - Elsevier
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 …
A hybrid model for water quality prediction based on an artificial neural network, wavelet transform, and long short-term memory
J Wu, Z Wang - Water, 2022 - mdpi.com
Clean water is an indispensable essential resource on which humans and other living
beings depend. Therefore, the establishment of a water quality prediction model to predict …
beings depend. Therefore, the establishment of a water quality prediction model to predict …
Improving prediction of water quality indices using novel hybrid machine-learning algorithms
DT Bui, K Khosravi, J Tiefenbacher, H Nguyen… - Science of the Total …, 2020 - Elsevier
River water quality assessment is one of the most important tasks to enhance water
resources management plans. A water quality index (WQI) considers several water quality …
resources management plans. A water quality index (WQI) considers several water quality …
Using machine learning models for predicting the water quality index in the La Buong River, Vietnam
For effective management of water quantity and quality, it is absolutely essential to estimate
the pollution level of the existing surface water. This case study aims to evaluate the …
the pollution level of the existing surface water. This case study aims to evaluate the …
[HTML][HTML] Water quality prediction and classification based on principal component regression and gradient boosting classifier approach
Estimating water quality has been one of the significant challenges faced by the world in
recent decades. This paper presents a water quality prediction model utilizing the principal …
recent decades. This paper presents a water quality prediction model utilizing the principal …
Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study
The proper management of a municipal water system is essential to sustain cities and
support the water security of societies. Urban water estimating has always been a …
support the water security of societies. Urban water estimating has always been a …