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Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code. .
Computer Science --- Engineering & Applied Sciences --- Environmental sciences. --- Time-series analysis. --- Analysis of time series --- Environmental science --- Engineering. --- Geotechnical engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Geotechnical Engineering & Applied Earth Sciences. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering, Geotechnical --- Geotechnics --- Geotechnology --- Engineering geology --- Construction --- Industrial arts --- Technology --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Science --- Artificial Intelligence.
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This reprint contains articles published in the Special Issue entitled "Assessing Atmospheric Pollution and Its Impacts on the Human Health" in the journal Atmosphere. The research focuses on the evaluation of atmospheric pollution by statistical methods on the one hand, and on the other hand, on the evaluation of the relationship between the level of pollution and the extent of its effect on the population's health, especially on pulmonary diseases.
Air pollution. --- Lungs --- Diseases. --- Pulmonary diseases --- Air --- Air contaminants --- Air pollutants --- Air pollution --- Air pollution control --- Air toxics --- Airborne pollutants --- Atmosphere --- Contaminants, Air --- Control of air pollution --- Pollutants, Air --- Toxics, Air --- Pollution --- Air quality --- Atmospheric deposition --- Control
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Human society's progress has increased the quantity of pollutants emitted into the environment. Water is one of the natural resources most affected by economic activity, with pollutants reaching water bodies without proper treatment. In this context, this book presents the latest advances and developments in statistical approaches for evaluating and forecasting water resources quality. New methodologies for analyzing and predicting the water quality that can be applied in related fields are also presented.
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Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code. .
Applied physical engineering --- Mining industry --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- time series analysis --- mijnbouw --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots
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