Handling Missing Data

The management and remediation of environmental data time series have always been tiresome but necessary tasks as increasingly complex meteorological and dispersion models claim more and more data inputs. Featuring a wide range of techniques for analysing and filling gaps in time series data, this book contains recent research by the Air Pollution and Environmental Fluid Dynamics Group at Marche University of Technology, Ancona. The contributions may be viewed both as tools to manage practical air pollution problems and as a compendium of theoretical knowledge for a new understanding of lesser-known aspects.