AIMC Topic: Water Movements

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A rainwater control optimization design approach for airports based on a self-organizing feature map neural network model.

PloS one Jan 21, 2020
To address the problems of high overflow rate of pipe network inspection well and low drainage efficiency, a rainwater control optimization design approach based on a self-organizing feature map neural network model (SOFM) was proposed in this paper....
Neural Networks, Computer Models, Theoretical Beijing Rain Water Movements Airports
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Artificial intelligence based approaches to evaluate actual evapotranspiration in wetlands.

The Science of the total environment Nov 20, 2019
Wetlands are extraordinary ecosystems and important climate regulators that also contribute to reduce natural disaster risk. Unfortunately, wetlands are declining much faster than forests. The safeguarding of the wetlands also needs knowledge of the ...
Environmental Monitoring Wetlands Water Movements Neural Networks, Computer Wind Artificial Intelligence Models, Theoretical Temperature
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Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna.

Environmental monitoring and assessment Sep 7, 2019
This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani f...
Grassland Water Movements Soil Fuzzy Logic Brazil Environmental Monitoring Rivers Conservation of Natural Resources
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Performance assessment of artificial neural networks and support vector regression models for stream flow predictions.

Environmental monitoring and assessment Nov 8, 2018
Water resources planning, development, and management need reliable forecasts of river flows. In past few decades, an important dimension has been introduced in the prediction of the hydrologic phenomenon through artificial intelligence-based modelin...
Neural Networks, Computer Artificial Intelligence Pakistan Rivers Water Movements Hydrology Algorithms Environmental Monitoring Support Vector Machine
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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...
Neural Networks, Computer Water Supply Water Movements Queensland Environmental Monitoring Hydrology Indian Ocean Rivers Ecosystem Water Agriculture
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Evidence of Water Quality Degradation in Lower Mekong Basin Revealed by Self-Organizing Map.

PloS one Jan 5, 2016
To reach a better understanding of the spatial variability of water quality in the Lower Mekong Basin (LMB), the Self-Organizing Map (SOM) was used to classify 117 monitoring sites and hotspots of pollution within the basin identified according to wa...
Vietnam Water Movements Cambodia Laos Seasons Nitrates Water Quality Ammonia Geography Rivers Wetlands Hydrogen-Ion Concentration Neural Networks, Computer Water Pollution Thailand Phosphorus Agriculture Humans Water Pollutants, Chemical Oxygen
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A biomimetic underwater vehicle actuated by waves with ionic polymer-metal composite soft sensors.

Bioinspiration & biomimetics Sep 28, 2015
The ionic polymer-metal composite (IPMC) is a soft material based actuator and sensor and has a promising potential in underwater application. This paper describes a hybrid biomimetic underwater vehicle that uses IPMCs as sensors. Propelled by the en...
Electric Power Supplies Water Movements Transducers Manufactured Materials Elastic Modulus Energy Transfer Hydrodynamics Equipment Failure Analysis Hardness Biomimetics Equipment Design Ions Polymers Computer-Aided Design Rheology Motion Metals Ships Robotics
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Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks.

Environmental science and pollution research international Apr 23, 2015
A horizontal subsurface flow constructed wetland (HSSF-CW) was designed to improve the water quality of an artificial lake in Beijing Wildlife Rescue and Rehabilitation Center, Beijing, China. Artificial neural networks (ANNs), including multilayer p...
Wetlands Beijing Water Water Movements Neural Networks, Computer Models, Theoretical Water Pollutants, Chemical Phosphorus Water Quality
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Fish locomotion: recent advances and new directions.

Annual review of marine science Sep 19, 2014
Research on fish locomotion has expanded greatly in recent years as new approaches have been brought to bear on a classical field of study. Detailed analyses of patterns of body and fin motion and the effects of these movements on water flow patterns...
Species Specificity Tail Biomechanical Phenomena Hydrodynamics Models, Biological Animals Water Movements Fishes Robotics Swimming
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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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