AIMC Topic: Nitrates

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Unravelling nitrate transformation mechanisms in karst catchments through the coupling of high-frequency sensor data and machine learning.

Water research Sep 23, 2024
Nitrate dynamics within a catchment are critical to the earth's system process, yet the intricate details of its transport and transformation at high resolutions remain elusive. Hydrological effects on nitrate dynamics in particular have not been tho...
Water Pollutants, Chemical Seasons Nitrates Machine Learning Environmental Monitoring
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Application of artificial intelligence in modeling of nitrate removal process using zero-valent iron nanoparticles-loaded carboxymethyl cellulose.

Environmental geochemistry and health Jun 26, 2024
This study explores nitrate reduction in aqueous solutions using carboxymethyl cellulose loaded with zero-valent iron nanoparticles (Fe-CMC). The structures of this nano-composite were characterized using various techniques. Based on the characteriza...
Artificial Intelligence Water Purification Water Pollutants, Chemical Models, Chemical Hydrogen-Ion Concentration Metal Nanoparticles Nitrates Adsorption Iron Oxidation-Reduction Carboxymethylcellulose Sodium Microscopy, Electron, Scanning
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A machine learning framework for spatio-temporal vulnerability mapping of groundwaters to nitrate in a data scarce region in Lenjanat Plain, Iran.

Environmental science and pollution research international Jun 11, 2024
The temporal aspect of groundwater vulnerability to contaminants such as nitrate is often overlooked, assuming vulnerability has a static nature. This study bridges this gap by employing machine learning with Detecting Breakpoints and Estimating Segm...
Support Vector Machine Water Pollutants, Chemical Iran Groundwater Environmental Monitoring Machine Learning Nitrates
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Groundwater suitability assessment for irrigation and drinking purposes by integrating spatial analysis, machine learning, water quality index, and health risk model.

Environmental science and pollution research international May 29, 2024
An in-depth understanding of nitrate-contaminated surface water and groundwater quality and associated risks is important for groundwater management. Hydrochemical characteristics and driving forces of groundwater quality and non-carcinogenic risks o...
Agricultural Irrigation Water Pollutants, Chemical Nitrates Water Quality Spatial Analysis Drinking Water Risk Assessment Groundwater Environmental Monitoring Humans Machine Learning
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A hybrid deep learning approach to predict hourly riverine nitrate concentrations using routine monitored data.

Journal of environmental management May 10, 2024
With high-frequency data of nitrate (NO-N) concentrations in waters becoming increasingly important for understanding of watershed system behaviors and ecosystem managements, the accurate and economic acquisition of high-frequency NO-N concentration ...
Deep Learning Environmental Monitoring Water Pollutants, Chemical Neural Networks, Computer Nitrates Rivers New Hampshire
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Performance evaluation of deep learning based stream nitrate concentration prediction model to fill stream nitrate data gaps at low-frequency nitrate monitoring basins.

Journal of environmental management Apr 1, 2024
Accurate and frequent nitrate estimates can provide valuable information on the nitrate transport dynamics. The study aimed to develop a data-driven modeling framework to estimate daily nitrate concentrations at low-frequency nitrate monitoring sites...
Deep Learning Environmental Monitoring Models, Statistical Nitrates Rivers
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Machine learning-based model construction and identification of dominant factor for simultaneous sulfide and nitrate removal process.

Bioresource technology Oct 11, 2023
Accurate water quality prediction models are essential for the successful implementation of the simultaneous sulfide and nitrate removal process (SSNR). Traditional models, such as regression and analysis of variance, do not provide accurate predicti...
Nitrates Bioreactors Artificial Intelligence Nitrogen Machine Learning Sulfides
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A comparative study of data-driven models for runoff, sediment, and nitrate forecasting.

Journal of environmental management May 8, 2023
Effective prediction of qualitative and quantitative indicators for runoff is quite essential in water resources planning and management. However, although several data-driven and model-driven forecasting approaches have been employed in the literatu...
Neural Networks, Computer Algorithms Forecasting Nitrates Water Resources
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A fuzzy logic-based approach for groundwater vulnerability assessment.

Environmental science and pollution research international Mar 20, 2023
Groundwater vulnerability assessment systems have been developed to protect groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer based on seven effective parameters. The application of expert opinion in rating an...
Fuzzy Logic Water Pollution Nitrates Groundwater Environmental Monitoring
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Exposure to nitrate induces alterations in blood parameter responses, liver immunity, and lipid metabolism in juvenile turbot (Scophthalmus maximus).

Aquatic toxicology (Amsterdam, Netherlands) Aug 24, 2022
Nitrate (NO) pollution of waterbodies has attracted significant global attention as it poses a serious threat to aquatic organisms and human beings. This study aimed to evaluate the role of NO, an end product of biological nitrification processes, in...
Complement C3 Fish Proteins Liver Animals Peroxisome Proliferator-Activated Receptors Lipid Metabolism Humans RNA, Messenger Heat-Shock Proteins Complement C4 Aspartate Aminotransferases Carnitine O-Palmitoyltransferase Water Pollutants, Chemical Tumor Necrosis Factor-alpha Nitrates Immunoglobulin M Liver X Receptors Sterol Regulatory Element Binding Protein 1 Alanine Transaminase Flatfishes Muramidase
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