Spatio-temporal Analysis of Extreme Hydrological Events

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio-temporal methods, such as space-time geostatistics, machine learning, statistical theory, hydrological modelling, neural network and evolutionary algorithms. This important resource for both hydrologists and statisticians interested in the framework of spatial and temporal analysis of hydrological events will provide users with an enhanced understanding of the relationship between magnitude, dynamics and the probability of extreme hydrological events. Presents spatio-temporal processes, including multivariate dynamic modellingProvides varying methodological approaches, giving the readers multiple hydrological modelling information to use in their workIncludes a variety of case studies making the context of the book relatable to everyday working situations INDICE: 1. Dynamic correlation structures for interpolation of precipitation patterns 2. Local Geostatistical Models and Big Data in Hydrological Applications 3. Space-time simulation techniques for potential use in hydrological extremes 4. Space-time geostatistics for hydrological applications using sequential Gaussian simulation and Bayesian bootstrapping 5. Improved spatial prediction: A combinatorial approach 6. Using novel geostatistical techniques to identify the spatial distribution of biogeochemical hot-spots under contrasting hydrological conditions 7. Geostatistical prediction of flow-duration curves in an index-flow framework 8. Infilling and interpolation of precipitation at different temporal scales in South Africa 9. Impact of rainfall spatial variability on Flash Flood Forecasting 10. Blending satellite data and RADAR tool for rapid flood damage assessment in Agriculture: A case study in Sri Lanka

• ISBN: 978-0-12-811689-0
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 350
• Fecha Publicación: 01/09/2018
• Nº Volúmenes: 1
• Idioma: Inglés