Urban Flood Frequency Analysis and Risk Assessment

Dear Colleagues,

This Special Issue focuses on flood estimation in catchments using flood frequency analysis and different modelling methods.

Flood frequency analysis (FFA) is often adopted to estimate design floods, which are needed for many water resource management tasks, e.g., to size hydraulic structures and to carry out flood risk and ecology assessments, as well as flood insurance studies. Therefore, FFA remains an active area of interest and research. The most direct method of design flood estimation is at-site FFA analysis, which relies on a relatively long period of recorded streamflow data at a given site. Hence, the selection of an appropriate probability distribution-associated parameter estimation procedure, accounting for climate change and uncertainty is of prime importance in at-site FFA. With recent advancements in statistical and computational modelling and computing facilities, FFA estimates can be assessed more reliably and efficiently.

We invite original research articles that contribute to the continuing efforts to understand hydrological data and the complex hydrological processes that they exhibit to study furthermore reliable FFA estimates. This Special Issue also welcomes manuscripts on uncertainty analysis in FFA and the application of flood modelling to support decision making.

Potential topics for this Special Issue include, but are not limited to, the following:

• Flood frequency analysis: advances in methods, regional case studies, variability, and trend analysis.
• Annual maximum and peaks-over-threshold flood frequency analysis.
• Impacts of climate change on flood frequency analysis: stationary vs. non-stationary flood frequency analysis.
• Uncertainty in flood frequency analysis.
• Impact of rating curve errors on flood frequency analysis.
• Impact of distributional assumptions, parameter estimates, record lengths, and outliers on flood frequency analysis.
• Bayesian methods and Monte Carlo simulation in flood frequency analysis.
• Goodness-of-fit methods for flood frequency analysis.
• Bivariate flood frequency analysis using copulas.
• Historical and paleohydrologic information in flood frequency analysis.
• Entropy-based flood frequency analysis.
• Urbanization effects on flood frequency analysis.
• Insights and lessons learnt from streamflow data preparation for flood frequency analysis.
• Regional flood frequency analysis including and not limited to linear and nonlinear modelling approaches.

Dr. Khaled Haddad
Prof. Dr. Ataur Rahman
Guest Editors

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