AIMC Topic: Water Supply

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Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influences.

BMC research notes Aug 9, 2024
OBJECTIVE: This study delves into the impact of urban meteorological elements-specifically, air temperature, relative humidity, and atmospheric pressure-on water consumption in Kamyaran city. Data on urban water consumption, temperature (in Celsius),...
Water Cities Machine Learning Temperature Humidity Water Supply Meteorological Concepts Seasons Atmospheric Pressure Humans
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Assessing current and future available resources to supply urban water demands using a high-resolution SWAT model coupled with recurrent neural networks and validated through the SIMPA model in karstic Mediterranean environments.

Environmental science and pollution research international Jul 24, 2024
Hydrological simulation in karstic areas is a hard task due to the intrinsic intricacy of these environments and the common lack of data related to their geometry. Hydrological dynamics of karstic sites in Mediterranean semiarid regions are difficult...
Hydrology Spain Water Supply Neural Networks, Computer Groundwater Environmental Monitoring Models, Theoretical
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Solving water scarcity challenges in arid regions: A novel approach employing human-based meta-heuristics and machine learning algorithm for groundwater potential mapping.

Chemosphere Jul 20, 2024
Addressing water scarcity challenges in arid regions is a pressing concern and demands innovative solutions for accurate groundwater potential mapping (GPM). This study presents a comprehensive evaluation of advanced modeling techniques to enhance th...
Computer Heuristics Machine Learning Algorithms Iran Water Supply Groundwater Humans
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Machine learning vs. regression models to predict the risk of Legionella contamination in a hospital water network.

Annali di igiene : medicina preventiva e di comunita Jul 11, 2024
INTRODUCTION: The periodic monitoring of Legionella in hospital water networks allows preventive measures to be taken to avoid the risk of legionellosis to patients and healthcare workers.
Machine Learning Sensitivity and Specificity Humans Regression Analysis Italy Water Microbiology Risk Assessment Hospitals Legionella Legionellosis Water Supply
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Security assessment and diagnosis for industrial water resources using TODIMSort considering Best-Worst Method with double hierarchy hesitant fuzzy linguistic term set.

Environmental research Jul 4, 2024
Motivated by the driving force to address global water scarcity, industrial water resources, as the second largest consumption of water resources, its security assessment plays a crucial role in improving the current situation. Hence, this paper prop...
Fuzzy Logic Industry Water Resources China Water Supply
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Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective.

Water research Jun 24, 2024
Against the backdrop of severe leakage issue in water distribution systems (WDSs), numerous researchers have focused on the development of deep learning-based acoustic leak detection technologies. However, these studies often prioritize model develop...
Water Supply Water Acoustics Neural Networks, Computer Deep Learning
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Towards transferable metamodels for water distribution systems with edge-based graph neural networks.

Water research Jun 20, 2024
Data-driven metamodels reproduce the input-output mapping of physics-based models while significantly reducing simulation times. Such techniques are widely used in the design, control, and optimization of water distribution systems. Recent research h...
Neural Networks, Computer Computer Simulation Models, Theoretical Water Supply Water
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Long-term water demand forecasting using artificial intelligence models in the Tuojiang River basin, China.

PloS one May 22, 2024
Accurate forecasts of water demand are a crucial factor in the strategic planning and judicious use of finite water resources within a region, underpinning sustainable socio-economic development. This study aims to compare the applicability of variou...
China Algorithms Models, Theoretical Rivers Neural Networks, Computer Forecasting Water Supply Artificial Intelligence
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Reconstructing transient pressures in pipe networks from local observations by using physics-informed neural networks.

Water research Apr 20, 2024
Reconstructing transient states presents significant challenges, particularly within complex pipe networks. These challenges arise due to nonlinear behaviours, inherent uncertainties in the system, and limitations in data availability. This work prop...
Pressure Water Supply Neural Networks, Computer Models, Theoretical
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Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture.

Environmental monitoring and assessment Apr 9, 2024
Advanced sensor technology, especially those that incorporate artificial intelligence (AI), has been recognized as increasingly important in various contemporary applications, including navigation, automation, water under imaging, environmental monit...
Water Agriculture Environmental Monitoring Artificial Intelligence Soil Water Supply Intelligence Cloud Computing Internet of Things
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