Multivariate Frequency Analysis of Hydro-Meteorological Variables

Multivariate Frequency Analysis of Hydro-Meteorological Variables by Fateh Chebana is an essential resource for hydrologists, climatologists, water-resource engineers and environmental researchers tackling the complexity of joint extreme events. This clear, authoritative volume explains modern statistical tools for analyzing dependence between rainfall, streamflow, temperature and other hydro‑meteorological variables — critical for reliable flood risk, drought assessment and climate‑risk planning.

Discover practical explanations of copulas, joint probability distributions, multivariate return periods and techniques for handling non‑stationarity and scarce data. Rich with case studies and regional applications, the book shows how to translate multivariate analyses into robust design criteria for reservoirs, urban drainage, and watershed management across cold, temperate and arid climates — relevant to practitioners in North America, Europe, Africa, Asia and beyond.

Whether you are developing climate‑resilient infrastructure or conducting academic research, this book bridges theory and applied practice. You’ll gain clear guidance on selecting dependence models, interpreting joint risk metrics, and integrating multivariate methods into water resources planning and policy. The language remains accessible while preserving technical rigor, making it suitable for graduate students, consultants and agency engineers.

For professionals seeking to upgrade their toolkit for extreme-event analysis and for educators building advanced hydrology courses, Multivariate Frequency Analysis of Hydro-Meteorological Variables by Fateh Chebana is a practical, up-to-date reference. Add this authoritative guide to your library to strengthen flood and drought risk assessments and support resilient water management decisions worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.