AIMC Topic: Water Resources

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Applying the Back-Propagation Neural Network model and fuzzy classification to evaluate the trophic status of a reservoir system.

Environmental monitoring and assessment Aug 13, 2015
The trophic state index, and in particular, the Carlson Trophic State Index (CTSI), is critical for evaluating reservoir water quality. Despite its common use in evaluating static water quality, the reliability of the CTSI may decrease when water tur...
Environmental Monitoring Fuzzy Logic Water Quality Conservation of Natural Resources Neural Networks, Computer Eutrophication Water Resources
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Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition.

Environmental research Feb 12, 2015
Hydrological time series forecasting is one of the most important applications in modern hydrology, especially for the effective reservoir management. In this research, an artificial neural network (ANN) model coupled with the ensemble empirical mode...
Water Resources Neural Networks, Computer Forecasting Models, Statistical Hydrology China Time Factors
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Modeling and prediction of climate change impacts on water resources vulnerability: A multi-model approach.

Journal of environmental management Jul 1, 2025
In a rapidly changing world, uncontrolled climate change worsens water scarcity disrupting hydrological cycles and hindering sustainable development. Addressing water resources vulnerability requires holistic approaches to better understand complex s...
Machine Learning Water Supply Water Resources Models, Theoretical Climate Change
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Exploring the morpho-tectonic nature, hydrological and physical characteristics of a watershed and prioritizing sub-watersheds surface runoff potentialities by integrating MCDM and ensemble machine learning models.

Journal of environmental management Jun 1, 2025
Much effective rainfall often leads to natural and human-induced hazards when unused. Therefore, monitoring and managing water resources by assessing comprehensive surface runoff (SR) potential is crucial instead of relying on broad sub-watershed (SW...
Machine Learning Water Resources Models, Theoretical Rain Hydrology
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Sustainable water allocation under climate change: Deep learning approaches to predict drinking water shortages.

Journal of environmental management Jun 1, 2025
Addressing sustainable urban water supply has become one of the most critical challenges for modern megacities, particularly in arid and semi-arid regions where rapid urbanization and climate change converge to exacerbate resource scarcity. Tehran, a...
Water Resources Iran Drinking Water Neural Networks, Computer Deep Learning Water Supply Climate Change Groundwater
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Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective.

Water science and technology : a journal of the International Association on Water Pollution Research Nov 1, 2023
This study investigates changes in river flow patterns, in the Hunza Basin, Pakistan, attributed to climate change. Given the anticipated rise in extreme weather events, accurate streamflow predictions are increasingly vital. We assess three machine ...
Neural Networks, Computer Water Resources Rivers Climate Change Machine Learning
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A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm.

Water science and technology : a journal of the International Association on Water Pollution Research Aug 1, 2023
The accurate forecasting of precipitation in the upper reaches of the Yellow River is imperative for enhancing water resources in both the local and broader Yellow River basin in the present and future. While many models exist for predicting precipit...
Neural Networks, Computer Algorithms Water Resources Rivers Entropy
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Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement.

Water science and technology : a journal of the International Association on Water Pollution Research Jun 1, 2023
To prevent the pollution of water resources, the measurement and the limitation of wastewater discharges are required. Despite the progress in the field of data acquisition systems, sensors are subject to malfunctions that can bias the evaluation of ...
Water Resources Artificial Intelligence Wastewater Algorithms Environmental Pollution
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[Methodology and application of precipitation isoscapes of stable hydrogen and oxygen isotopes].

Ying yong sheng tai xue bao = The journal of applied ecology Feb 1, 2023
The precipitation isoscapes of stable hydrogen and oxygen isotopes combine isotope tracing technology with spatial perspective, which are useful to examine the source and sink of water in different regions, to understand the isotope fractionation in ...
Water Resources Oxygen Isotopes Hydrogen Artificial Intelligence Water
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An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2022
Nowadays, modelling, automation and control are widely used for Water Resource Recovery Facilities (WRRF) upgrading and optimization. Influent generator (IG) models are used to provide relevant input time series for dynamic WRRF simulations used in t...
Automation Neural Networks, Computer Water Resources Time Factors
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