Sediment Hydrology provides the comprehensive information required to practically understand the behavior, patterns and morphometric variations of sediment in watersheds. Additionally, the essential techniques for applied estimating, modeling, ascription and partitioning the sediment yield are evaluated and presented. The liberal use of game theory, image processing, artificial neural network, allometric models, and regression models are explained to enhance our understanding of hydrological systems. A major feature of the book is the description of essential subjects of scale effect, connectivity, watershed health and hysteresis patterns of sediment in the context of hydrological variability. This book will be helpful and useful for scientists and policymakers who need to understand the dynamism of sediment hydrology and its new study tools to reach an adaptive watershed management.

• Identifies key problems and potential solutions for future research
• Presents case studies and real practical examples in each chapter
• Provides innovative techniques for sediment ascription, connectivity and particle size distribution