After five decades, the field of Statistical Hydrology continues to evolve and remains a very active area of investigation. Researchers continue to examine various distributions, methods of estimation of parameters, and problems related to regionalization. However, much of this research appears in journals and reports and usually in a form not easily accessible to practitioners and students. Flood Frequency Analysis answers this need by presenting the most popular and promising distributions and estimation procedures in a unified format. It offers the details that provide the basis for the computations, and illustrates each procedure with real data.

Extreme Hydrology and Climate Variability: Monitoring, Modelling, Adaptation and Mitigation is a compilation of contributions by experts from around the world who discuss extreme hydrology topics, from monitoring, to modeling and management. With extreme climatic and hydrologic events becoming so frequent, this book is a critical source, adding knowledge to the science of extreme hydrology. Topics covered include hydrometeorology monitoring, climate variability and trends, hydrological variability and trends, landscape dynamics, droughts, flood processes, and extreme events management, adaptation and mitigation. Each of the book's chapters provide background and theoretical foundations followed by approaches used and results of the applied studies. This book will be highly used by water resource managers and extreme event researchers who are interested in understanding the processes and teleconnectivity of large-scale climate dynamics and extreme events, predictability, simulation and intervention measures. - Presents datasets used and methods followed to support the findings included, allowing readers to follow these steps in their own research - Provides variable methodological approaches, thus giving the reader multiple hydrological modeling information to use in their work - Includes a variety of case studies, thus making the context of the book relatable to everyday working situations for those studying extreme hydrology - Discusses extreme event management, including adaption and mitigation

This book is the first complete account of the L-moment approach to regional frequency analysis of environmental extremes.

Each year, floods cause an enormous amount of global economic and social damage, impacting transportation systems, water supplies, agriculture, and health. Response management to catastrophic floods require increased measures involving integrated planning, adaptation, and recovery strategies in order to protect against human loss. Decision Support Methods for Assessing Flood Risk and Vulnerability is a pivotal reference source that provides vital research on the application of effective models and tools focused on the diagnosis of vulnerability to flooding risks and evaluates and measures the impact of floods on socio-economic wellbeing. While highlighting topics such as hydrological events, soil erosion, and flood vulnerability, this publication explores methods of identifying appropriate adaptation strategies. This book is ideally designed for researchers, students, academicians, policymakers, government officials, and technology developers seeking current empirical research findings to be used to improve the overall understanding of the flood phenomenon.

After five decades, the field of Statistical Hydrology continues to evolve and remains a very active area of investigation. Researchers continue to examine various distributions, methods of estimation of parameters, and problems related to regionalization. However, much of this research appears in journals and reports and usually in a form not easily accessible to practitioners and students. Flood Frequency Analysis answers this need by presenting the most popular and promising distributions and estimation procedures in a unified format. It offers the details that provide the basis for the computations, and illustrates each procedure with real data.

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.