Related references
Note: Only part of the references are listed.Characterization, Behavior, and Risk Assessment of Polycyclic Aromatic Hydrocarbons (PAHs) in the Estuary Sediments
Balram Ambade et al.
BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY (2022)
Analysis and prediction of water quality using deep learning and auto deep learning techniques
D. Venkata Vara Prasad et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2022)
Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality
Benjamin D. Bowes et al.
ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY (2022)
Groundwater quality forecasting using machine learning algorithms for irrigation purposes
Ali El Bilali et al.
AGRICULTURAL WATER MANAGEMENT (2021)
Influence of water allocation on bioenergy production under climate change: A stochastic mathematical programming approach
Chih-Chun Kung et al.
ENERGY (2021)
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Saber Kouadri et al.
APPLIED WATER SCIENCE (2021)
What Role Does Hydrological Science Play in the Age of Machine Learning?
Grey S. Nearing et al.
WATER RESOURCES RESEARCH (2021)
Analysis of water quality indices and machine learning techniques for rating water pollution: a case study of Rawal Dam, Pakistan
Mehreen Ahmed et al.
WATER SUPPLY (2021)
Prediction of groundwater quality using efficient machine learning technique
Sudhakar Singha et al.
CHEMOSPHERE (2021)
Prediction of water quality parameters using machine learning models: a case study of the Karun River, Iran
Atefeh Nouraki et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)
Evaluating the Performance of Machine Learning Approaches to Predict the Microbial Quality of Surface Waters and to Optimize the Sampling Effort
Manel Naloufi et al.
WATER (2021)
Health Risk Assessment and Characterization of Polycyclic Aromatic Hydrocarbon from the Hydrosphere
Balram Ambade et al.
JOURNAL OF HAZARDOUS TOXIC AND RADIOACTIVE WASTE (2021)
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Seyed Babak Haji Seyed Asadollah et al.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING (2021)
Improving prediction of water quality indices using novel hybrid machine -learning algorithms
Duie Tien Bui et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan
Dostdar Hussain et al.
EARTH SCIENCE INFORMATICS (2020)
Machine learning in geo- and environmental sciences: From small to large scale
Pejman Tahmasebi et al.
ADVANCES IN WATER RESOURCES (2020)
Estimation of nonlinear water-quality trends in high-frequency monitoring data
Guoxiang Yang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
A survey on river water quality modelling using artificial intelligence models: 2000-2020
Tiyasha et al.
JOURNAL OF HYDROLOGY (2020)
Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables
Tianao Wu et al.
PLOS ONE (2020)
Comparative evaluation of machine learning models for groundwater quality assessment
Shine Bedi et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2020)
Machine learning methods for better water quality prediction
Ali Najah Ahmed et al.
JOURNAL OF HYDROLOGY (2019)
Prospect of China's renewable energy development from pyrolysis and biochar applications under climate change
Chih-Chun Kung et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Evaluation on Effects of Climate and Land-Use Changes on Streamflow and Water Quality in the La Buong River Basin, Southern Vietnam
Dao Nguyen Khoi et al.
SUSTAINABILITY (2019)
Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Muhammad Waseem Ahmad et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
Mohammed Hameed et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors
Nabeel M. Gazzaz et al.
MARINE POLLUTION BULLETIN (2012)
Estimation of nonlinear trends in water quality: An improved approach using generalized additive models
Richard Morton et al.
WATER RESOURCES RESEARCH (2008)
Regional water quality management for the Dong Nai River Basin, Vietnam
WM Grayman et al.
WATER SCIENCE AND TECHNOLOGY (2003)