AIMC Topic: Water Supply

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A Novel Interannual Rainfall Runoff Equation Derived from Ol'Dekop's Model Using Artificial Neural Networks.

Sensors (Basel, Switzerland) Jun 8, 2022
In water resources management, modeling water balance factors is necessary to control dams, agriculture, irrigation, and also to provide water supply for drinking and industries. Generally, conceptual and physical models present challenges to find mo...
Neural Networks, Computer Reproducibility of Results Water Supply Water Movements Water Agriculture
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Smart Sensorization Using Propositional Dynamic Logic.

Sensors (Basel, Switzerland) May 20, 2022
The current high energy prices pose a serious challenge, especially in the domestic economy. In this respect, one of the main problems is obtaining domestic hot water. For this reason, this article develops a heating system applied to a conventional ...
Artificial Intelligence Logic Water Supply Water
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Leak detection in real water distribution networks based on acoustic emission and machine learning.

Environmental technology May 15, 2022
Water scarcity as well as social and economic damages caused by the increasing amounts of non-revenue water in the water distribution networks (WDNs) have been prompting innovative solutions. A great deal of potable water is wasted due to leakage in ...
Acoustics Neural Networks, Computer Water Supply Machine Learning Algorithms Water
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Development of a Soft Sensor for Flow Estimation in Water Supply Systems Using Artificial Neural Networks.

Sensors (Basel, Switzerland) Apr 18, 2022
A water supply system is considered an essential service to the population as it is about providing an essential good for life. This system typically consists of several sensors, transducers, pumps, etc., and some of these elements have high costs an...
Neural Networks, Computer Water Transducers Nonlinear Dynamics Water Supply
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Investigation of intra - event variations of total, dissolved and truly dissolved metal concentrations in highway runoff and a gross pollutant trap - bioretention stormwater treatment train.

Water research Mar 11, 2022
Metals in stormwater can be toxic to organisms, particularly when occurring in truly dissolved form (fraction <3 kDa). Here, using 153 samples collected during six rains, we investigated intra-events variations of total, dissolved and truly dissolved...
Water Pollutants, Chemical Environmental Pollutants Rain Water Purification Lead Cadmium Water Supply
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Improving the leak detection efficiency in water distribution networks using noise loggers.

The Science of the total environment Jan 29, 2022
Leak detection techniques are effective ways of controlling water leakage in real water distribution networks (WDNs). Nevertheless, developing detection techniques for real WDNs has received little attention compared to the detection models developed...
Water Supply Algorithms Water Support Vector Machine Wavelet Analysis Neural Networks, Computer
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Multivariate Streamflow Simulation Using Hybrid Deep Learning Models.

Computational intelligence and neuroscience Oct 27, 2021
Reliable and accurate streamflow simulation has a vital role in water resource development, mainly in agriculture, environment, domestic water supply, hydropower generation, flood control, and early warning systems. In this context, these days, deep ...
Algorithms Water Supply Neural Networks, Computer Rivers Deep Learning
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Occurrence and concentration of 20-100 μm sized microplastic in highway runoff and its removal in a gross pollutant trap - Bioretention and sand filter stormwater treatment train.

The Science of the total environment Oct 21, 2021
Microplastic pollution of stormwater can be a serious threat to the environment. Gross pollutant trap (GPT) - bioretention treatment trains have been shown previously to treat (inter alia) particulate stormwater pollutants including microplastic part...
Microplastics Water Supply Rain Water Purification Plastics Environmental Pollutants
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A stochastic modeling approach for analyzing water resources systems.

Journal of contaminant hydrology Aug 8, 2021
Many uncertain factors exist in the water resource systems, leading to dynamic characteristics of the water distribution process. Especially for the watershed including irrigation area with multiple water sources and water users, it is complicated th...
Water Resources Uncertainty Fuzzy Logic Probability Stochastic Processes Water Supply Models, Theoretical
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Spectrophotometric Online Detection of Drinking Water Disinfectant: A Machine Learning Approach.

Sensors (Basel, Switzerland) Nov 21, 2020
The spectra fingerprint of drinking water from a water treatment plant (WTP) is characterised by a number of light-absorbing substances, including organic, nitrate, disinfectant, and particle or turbidity. Detection of disinfectant (monochloramine) c...
Water Supply Disinfectants Machine Learning Drinking Water Water Purification
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