[HTML][HTML] A review of the application of machine learning in water quality evaluation
M Zhu, J Wang, X Yang, Y Zhang, L Zhang… - Eco-Environment & …, 2022 - Elsevier
With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …
has become an important tool for data analysis, classification, and prediction. Unlike …
[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 …
An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions
ZM Yaseen - Chemosphere, 2021 - Elsevier
The development of computer aid models for heavy metals (HMs) simulation has been
remarkably advanced over the past two decades. Several machine learning (ML) models …
remarkably advanced over the past two decades. Several machine learning (ML) models …
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 …
Predicting heavy metal adsorption on soil with machine learning and mapping global distribution of soil adsorption capacities
Studying heavy metal adsorption on soil is important for understanding the fate of heavy
metals and properly assessing the related environmental risks. Existing experimental …
metals and properly assessing the related environmental risks. Existing experimental …
Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms …
F Bagherzadeh, MJ Mehrani, M Basirifard… - Journal of Water Process …, 2021 - Elsevier
Wastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China
Accurate precipitation (P) short-term forecasts are important for engineering studies and
water allocation. This study evaluated a method for bias correction of the Numerical Weather …
water allocation. This study evaluated a method for bias correction of the Numerical Weather …
Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
W Zhang, W Huang, J Tan, D Huang, J Ma, B Wu - Chemosphere, 2023 - Elsevier
It is crucial to reduce the concentration of pollutants in water environment to below safe
levels. Some cost-effective pollutant removal technologies have been developed, among …
levels. Some cost-effective pollutant removal technologies have been developed, among …
A critical review on the migration and transformation processes of heavy metal contamination in lead-zinc tailings of China
The health risks of lead-zinc (Pb–Zn) tailings from heavy metal (HMs) contamination have
been gaining increasing public concern. The dispersal of HMs from tailings poses a …
been gaining increasing public concern. The dispersal of HMs from tailings poses a …
Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach
F Bagherzadeh, AS Nouri, MJ Mehrani… - Process Safety and …, 2021 - Elsevier
Abstract Treatment of municipal wastewater to meet the stringent effluent quality standards is
an energy-intensive process and the main contributor to the costs of wastewater treatment …
an energy-intensive process and the main contributor to the costs of wastewater treatment …