Andere Kunden interessierten sich auch für
![Stochastic Modelling of Space-Time Rainfall]( "Stochastic Modelling of Space-Time Rainfall")
Stochastic Modelling of Space-Time Rainfall56,99 €![Stochastic and Statistical Methods in Hydrology and Environmental Engineering]( "Stochastic and Statistical Methods in Hydrology and Environmental Engineering")
Stochastic and Statistical Methods in Hydrology and Environmental Engineering81,99 €![Stochastic Modeling of Sedimentary Facies on a 3D Geological Grid]( "Stochastic Modeling of Sedimentary Facies on a 3D Geological Grid")
Stochastic Modeling of Sedimentary Facies on a 3D Geological Grid39,99 €![Slope Stochastic Dynamics]( "Slope Stochastic Dynamics")
Slope Stochastic Dynamics113,99 €![Slope Stochastic Dynamics]( "Slope Stochastic Dynamics")
Slope Stochastic Dynamics113,99 €![Stochastic Water Resources Technology]( "Stochastic Water Resources Technology")
Stochastic Water Resources Technology68,99 €![Stochastic Models in Geosystems]( "Stochastic Models in Geosystems")
Stochastic Models in Geosystems83,99 €
This book presents an interdisciplinary approach to an air pollution problem that takes into account the physical bases that govern the processes of interest under the framework of a Bayesian spatiotemporal model. Based on this approach I have developed a physically motivated stochastic model that decomposes the ground-level pollutant concentration field in three components, namely: transport, local production, and large-scale mean trend mostly dominated by the emission rates. The model highlighted the importance of simultaneously considering different aspects of an air pollution problem. This approach is novel in the field of environmental spatial statistics and gives a different perspective on the subject. The people who will be interested in this material are environmental scientists, statisticians, and physicists who have to analyze statistically data that evolve in time and space interactively.