AIMC Topic:
Environmental Monitoring

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Resilience actions to counteract the effects of climate change and health emergencies in cities: the role of artificial neural networks.

Annali dell'Istituto superiore di sanita Jan 1, 2019
Both the World Health Organization (WHO) with its 2015 "Climate and Health Country Profile Project" and the Istituto Superiore di Sanità (ISS) with its 2018 "Health and Climate Change", agree on the emergency generated by the climate change and conce...
Environmental Monitoring Humans Arizona Neural Networks, Computer Climate Change Emergencies City Planning Conservation of Natural Resources Cities Greenhouse Gases Environmental Health Greenhouse Effect
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Automatic method to monitor floating macroalgae blooms based on multilayer perceptron: case study of Yellow Sea using GOCI images.

Optics express Oct 15, 2018
Timely and accurate information about floating macroalgae blooms (MAB), including their distribution, movement, and duration, is crucial in order for local government and residents to grasp the whole picture, and then plan effectively to restrain eco...
Algorithms Water Pollutants Humans Oceans and Seas Environmental Monitoring Seaweed Neural Networks, Computer Remote Sensing Technology
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Water quality of Danube Delta systems: ecological status and prediction using machine-learning algorithms.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Environmental issues have a worldwide impact on water bodies, including the Danube Delta, the largest European wetland. The Water Framework Directive (2000/60/EC) implementation operates toward solving environmental issues from European and national ...
Ecosystem Water Environmental Monitoring Algorithms Animals Water Quality Rivers Invertebrates Water Pollutants, Chemical Water Pollution Artificial Intelligence
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Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Research report (Health Effects Institute) Jun 1, 2015
INTRODUCTION: The United States Environmental Protection Agency (U.S. EPA*) currently regulates individual air pollutants on a pollutant-by-pollutant basis, adjusted for other pollutants and potential confounders. However, the National Academies of S...
Dogs Respiratory Tract Diseases United States Environmental Protection Agency Hazardous Substances Air Pollution Particulate Matter Environmental Exposure Air Pollutants Bayes Theorem Aged Animals Environmental Monitoring Artificial Intelligence United States Humans Data Interpretation, Statistical Prospective Studies Computer Simulation
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Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation Feb 1, 2015
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...
Malaysia Forestry Water Quality Conservation of Natural Resources Neural Networks, Computer Rivers Models, Theoretical Agriculture City Planning Prognosis Environmental Monitoring
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[Monitoring of the Moskva River Water Using Microbiological Parameters and Chlorophyll a Fluorescence].

Mikrobiologiia Jan 1, 2015
The results of investigations of three Moskva River sites with different degree of pollution using a complex of microbiological characteristics and the parameters of chlorophyll a fluorescence are presented. We determined that the bacterioplankton se...
Chlorophyll Chlorophyll A Rivers Environmental Monitoring Water Microbiology Spectrometry, Fluorescence Russia
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Determination of number of check dams by artificial neural networks in arid regions of Iran.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2015
An artificial neural network (ANN) model with six hydrological factors including time of concentration (TC), curve number, slope, imperviousness, area and input discharge as input parameters and number of check dams (NCD) as output parameters was dev...
Water Movements Desert Climate Models, Theoretical Environmental Monitoring Neural Networks, Computer Iran
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Adaptive neuro-fuzzy inference system for real-time monitoring of integrated-constructed wetlands.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2015
Monitoring large-scale treatment wetlands is costly and time-consuming, but required by regulators. Some analytical results are available only after 5 days or even longer. Thus, adaptive neuro-fuzzy inference system (ANFIS) models were developed to p...
Models, Biological Fuzzy Logic Neural Networks, Computer Water Quality Cluster Analysis Wetlands Environmental Monitoring
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