AIMC Topic: Water Supply

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A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects.

Water research Feb 3, 2024
Graph theory (GT) and complex network theory play an increasingly important role in the design, operation, and management of water distribution networks (WDNs) and these tasks were originally often heavily dependent on hydraulic models. Facing the ge...
Water Water Supply Neural Networks, Computer
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Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data.

Water research Dec 14, 2023
Ensuring the safety and reliability of drinking water supply requires accurate prediction of water quality in water distribution networks (WDNs). However, existing hydraulic model-based approaches for system state prediction face challenges in model ...
Reproducibility of Results Water Quality Neural Networks, Computer Water Supply
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Domain-informed variational neural networks and support vector machines based leakage detection framework to augment self-healing in water distribution networks.

Water research Dec 6, 2023
The reduction of water leakage is essential for ensuring sustainable and resilient water supply systems. Despite recent investments in sensing technologies, pipe leakage remains a significant challenge for the water sector, particularly in developed ...
Reproducibility of Results Water Supply Support Vector Machine Neural Networks, Computer
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Anaerobic Digestion as a Core Technology in Addressing the Global Sanitation Crisis: Challenges and Opportunities.

Environmental science & technology Nov 13, 2023
Successfully addressing the complex global sanitation problem is a massive undertaking. Anaerobic digestion (AD), coupled with post-treatment, has been identified as a promising technology to contribute to meeting this goal. It offers multiple benefi...
Artificial Intelligence Water Anaerobiosis Technology Water Supply Sanitation
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A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning.

Sensors (Basel, Switzerland) Jul 5, 2023
Localizing leakages in large water distribution systems is an important and ever-present problem. Due to the complexity originating from water pipeline networks, too few sensors, and noisy measurements, this is a highly challenging problem to solve. ...
Water Supply Bayes Theorem Neural Networks, Computer Models, Statistical Deep Learning
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Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.

Water research Jun 24, 2023
Representing reality in a numerical model is complex. Conventionally, hydraulic models of water distribution networks are a tool for replicating water supply system behaviour through simulation by means of approximation of physical equations. A calib...
Water Supply Uncertainty Calibration Computer Simulation Neural Networks, Computer
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Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.

Environmental science and pollution research international Apr 29, 2023
Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool f...
Machine Learning India Water Water Supply Climate Remote Sensing Technology Agriculture Crops, Agricultural
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Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks.

Water research Apr 28, 2023
This paper explores the use of 'conditional convolutional generative adversarial networks' (CDCGAN) for image-based leak detection and localization (LD&L) in water distribution networks (WDNs). The method employs pressure measurements and is based on...
Image Processing, Computer-Assisted Water Supply Neural Networks, Computer
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Fuzzy Control of Pressure in a Water Supply Network Based on Neural Network System Modeling and IoT Measurements.

Sensors (Basel, Switzerland) Nov 24, 2022
As hydroenergetic losses are inherent to water supply systems, they are a frequent issue which water utilities deal with every day. The control of network pressure is essential to reducing these losses, providing a quality supply to consumers, saving...
Neural Networks, Computer Water Water Supply Fuzzy Logic Cities
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Water demand in watershed forecasting using a hybrid model based on autoregressive moving average and deep neural networks.

Environmental science and pollution research international Sep 14, 2022
Increasing water demand is exacerbating water shortages in water-scarce regions (such as India, China, and Iran). Effective water demand forecasting is essential for the sustainable management of water supply systems in watersheds. To alleviate the c...
Water Forecasting Water Supply Seasons Neural Networks, Computer China Agriculture
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