AIMC Topic: Seasons

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Enhancing streamflow prediction in a mountainous watershed using a convolutional neural network with gridded data.

Environmental science and pollution research international Nov 9, 2024
In this research, we demonstrate the effectiveness of a convolutional neural network (CNN) model, integrated with the ERA5-Land dataset, for accurately simulating daily streamflow in a mountainous watershed. Our methodology harnesses image-based inpu...
Neural Networks, Computer Seasons
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Downscaling MODIS evapotranspiration into finer resolution using machine learning approach on a small scale, Ribb watershed, Ethiopia.

Environmental monitoring and assessment Nov 8, 2024
By monitoring evapotranspiration (ET), the exchange of water and energy between the soil, plants, and the atmosphere can be controlled. Routine estimations of ET on a daily, monthly, and seasonal basis can give relevant information on small-scale agr...
Machine Learning Agriculture Seasons Satellite Imagery Plant Transpiration Environmental Monitoring Ethiopia
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High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model.

Journal of environmental management Nov 1, 2024
Ambient carbon monoxide (CO) is a primary air pollutant that poses significant health risks and contributes to the formation of secondary atmospheric pollutants, such as ozone (O). This study aims to elucidate global CO pollution in relation to healt...
Air Pollutants Ozone Carbon Monoxide Seasons China Neural Networks, Computer Environmental Monitoring Deep Learning
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Hypoxia extreme events in a changing climate: Machine learning methods and deterministic simulations for future scenarios development in the Venice Lagoon.

Marine pollution bulletin Oct 3, 2024
Climate change pressures include the dissolved oxygen decline that in lagoon ecosystems can lead to hypoxia, i.e. low dissolved oxygen concentrations, which have consequences to ecosystem functioning including biogeochemical cycling from mild to seve...
Environmental Monitoring Oxygen Ecosystem Machine Learning Models, Theoretical Water Quality Italy Climate Change Seasons Seawater
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Development, study, and comparison of models of cross-immunity to the influenza virus using statistical methods and machine learning.

Voprosy virusologii Sep 26, 2024
INTRODUCTION: The World Health Organization considers the values of antibody titers in the hemagglutination inhibition assay as one of the most important criteria for assessing successful vaccination. Mathematical modeling of cross-immunity allows fo...
Hemagglutination Inhibition Tests Antibodies, Viral Machine Learning Humans Influenza Vaccines Influenza, Human Vaccination Seasons Cross Reactions
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Parametric seasonal-trend autoregressive neural network for long-term crop price forecasting.

PloS one Sep 26, 2024
Crop price forecasting is difficult in that supply is not as elastic as demand, therefore, supply and demand should be stabilized through long-term forecasting and pre-response to the price. In this study, we propose a Parametric Seasonal-Trend Autor...
Commerce Seasons Raphanus Neural Networks, Computer Crops, Agricultural Forecasting
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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...
Nitrates Machine Learning Water Pollutants, Chemical Environmental Monitoring Seasons
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Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models.

Scientific reports Sep 17, 2024
In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being a staple crop for billions of people, requires accurate and timely yield prediction to ensure global food securi...
Oryza Seasons Crops, Agricultural Radar Machine Learning Remote Sensing Technology Neural Networks, Computer
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Forecasting for Haditha reservoir inflow in the West of Iraq using Support Vector Machine (SVM).

PloS one Sep 6, 2024
Accurate inflow forecasting is an essential non-engineering strategy to guarantee flood management and boost the effectiveness of the water supply. As inflow is the primary reservoir input, precise inflow forecasting may also offer appropriate reserv...
Rivers Water Supply Seasons Iraq Forecasting Support Vector Machine
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Estimating epidemic trajectories of SARS-CoV-2 and influenza A virus based on wastewater monitoring and a novel machine learning algorithm.

The Science of the total environment Aug 27, 2024
The COVID-19 pandemic has altered the circulation of non-SARS-CoV-2 respiratory viruses. In this study, we carried out wastewater surveillance of SARS-CoV-2 and influenza A virus (IAV) in three key port cities in China through real-time quantitative ...
Wastewater-Based Epidemiological Monitoring Influenza, Human Seasons Algorithms China Humans SARS-CoV-2 Real-Time Polymerase Chain Reaction Machine Learning Influenza A virus
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