Stoitchko Kalenderski

Stochastic Modeling Of Space Time Processes

An Air Pollution Problem

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: VDM Verlag Dr. Müller
• Seitenzahl: 100
• Englisch
• Abmessung: 220mm
• ISBN-13: 9783639195286
• ISBN-10: 3639195280
• Artikelnr.: 27005296

Autorenporträt

Stoitchko Kalenderski obtained MS degree in nuclear and particle physics from the Sofia University in 1994. From 1996 to 2004 he worked in industry as a radiation protection inspector and a software developer. He then obtained PhD in atmospheric sciences from the University of British Columbia in 2009.