Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues, with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world.

Indus River Basin: Water Security and Sustainability provides a comprehensive treatment of water-related issues within the Indus River basin. Each chapter is written by an expert in the field, hence this book serves as a single, holistic source covering the whole region, not just a single country. Many of the challenges faced by this region are trans-boundary issues, especially within the context of climate change and water scarcity. Topics covered include extreme engineering and water resource management (one of the largest irrigation systems in dry to semi-desert conditions), social sciences (population dynamics linked to water resources) and political sciences. As such, this book is relevant and important to all researchers interested in these issues.

Flood Forecasting: A Global Perspective describes flood forecast systems and operations as they currently exist at national and regional centers around the globe, focusing on the technical aspects of flood forecast systems. This book includes the details of data flow, what data is used, quality control, the hydrologic and hydraulic models used, and the unique problems of each country or system, such as glacial dam failures, ice jams, sparse data, and ephemeral streams and rivers. Each chapter describes the system, including details about its strengths and weaknesses, and covers lessons learned. This helpful resource facilitates sharing knowledge that will lead to improvements of existing systems and provides a valuable reference to those wishing to develop new forecast systems by drawing on best practices.