Spatiotemporal 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

1. Geostatistics: Mathematical and Statistical Basis. 2. Background of spatiotemporal geostatistical analysis: Application to aquifer level mapping

3. Large-scale exploratory analysis of the spatio-temporal distribution of climate projections: Applying STRIVIng toolbox 4. Spatio-temporal drought analysis at country scale through the application of the STAND toolbox 5. Spatiotemporal analysis of extreme rainfall events using object based approach 6. Spatial and temporal variations of Habitat Suitability for fish; A case study in Abras de Mantequilla wetland, Ecuador 7. A comparison on spatial – temporal scale between multiscalar drought indices in the South Central Region of Vietnam