AIMC Topic: Water Supply

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An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland.

Environmental monitoring and assessment Jan 16, 2016
A predictive model for streamflow has practical implications for understanding the drought hydrology, environmental monitoring and agriculture, ecosystems and resource management. In this study, the state-or-art extreme learning machine (ELM) model w...
Hydrology Water Movements Queensland Neural Networks, Computer Rivers Environmental Monitoring Water Indian Ocean Ecosystem Agriculture Water Supply
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Harnessing public sentiment discourse for early drought detection and water crisis response for strategic water management and resilient policy planning.

The Science of the total environment Aug 10, 2025
The extensive and gradual onset of drought prompts critical examination of the alterations and engagement among substantial demographics during the drought's advancement and the consequent effects of such shifts on drought detection. This research ex...
Machine Learning Water Supply Droughts Pakistan Conservation of Water Resources Public Opinion
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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 Climate Change Models, Theoretical Water Supply Water Resources
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Spectral physics-informed neural network for transient pipe flow simulation.

Water research Jul 1, 2025
Accurate wave propagation models are essential for effective monitoring and automated localization in water supply pipelines. The recently-established Physics-Informed Neural Networks (PINNs) can enhance the wave analysis and reduce uncertainties by ...
Neural Networks, Computer Models, Theoretical Water Supply Water Movements
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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...
Climate Change Groundwater Drinking Water Water Supply Iran Water Resources Neural Networks, Computer Deep Learning
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Enhancing drinking water safety: Real-time prediction of trihalomethanes in a water distribution system using machine learning and multisensory technology.

Ecotoxicology and environmental safety Jun 1, 2025
Prolonged exposure to high concentrations of trihalomethanes (THMs) may generate human health risks due to their carcinogenic and mutagenic properties. Therefore, monitoring THMs in drinking water distribution systems (DWDS) is essential. This study ...
Environmental Monitoring Water Pollutants, Chemical Humans Machine Learning Drinking Water Water Supply Trihalomethanes Water Quality Linear Models
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The integrated fuzzy AHP and fuzzy logic techniques for mapping and prioritizing groundwater potential zone based on water quality.

Environmental monitoring and assessment May 30, 2025
Groundwater, which is utilized to supply water demand in various sectors such as domestic water consumption, agriculture, and industry, could be achieved by delineating a groundwater potential zone. Although mapping groundwater potential zones has be...
Water Quality Water Supply Groundwater Fuzzy Logic Environmental Monitoring Iran
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A machine learning approach to estimate domestic use of public and private water sources in the United States.

Water research May 15, 2025
In the United States, people obtain water for household use from one of two sources. Public water systems, which are subject to rules and regulations under the Safe Drinking Water Act, or private sources such as domestic wells, which are not subject ...
Drinking Water Water Supply United States Family Characteristics Humans Machine Learning
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A global gridded municipal water withdrawal estimation method using aggregated data and artificial neural network.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2023
Municipal water withdrawal (MWW) information is of great significance for water supply planning, including water supply pipeline networks planning, optimization and management. Currently most MWW data are reported as spatially aggregated over large-a...
Neural Networks, Computer Water Supply
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Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Mathematical biosciences and engineering : MBE Sep 26, 2019
Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most important public facilities that are prone to be attacked because of its wide coverage and constant ope...
Risk Assessment Deep Learning Water Supply Environmental Monitoring Algorithms Markov Chains Water Pollutants, Chemical Water Quality Diffusion Water Pollution
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