Reprint

Modern Developments in Flood Modelling

Edited by
June 2023
312 pages
  • ISBN978-3-0365-7809-5 (Hardback)
  • ISBN978-3-0365-7808-8 (PDF)

This book is a reprint of the Special Issue Modern Developments in Flood Modelling that was published in

Engineering
Environmental & Earth Sciences
Summary

Floods are one of the most common natural hazards that substantially affect human lives and properties globally. Engineering is of key importance to cope with flood risk as it provides integrated solutions associated with hydrological–hydraulic and coastal-advanced techniques for analysing flooding risk, for designing flood infrastructures for direct protection, for providing natural retention measures that enhance environmental and river restoration, for developing flood warning systems, and for presenting integrated construction and non-construction measures in order to adapt to emerging climatic challenges and develop resilience under the modern city environment.This Special Issue highlights the current efforts being made to advance the science and applications in flood engineering and, more specifically, in a wide spectrum of its related geosciences, such as hydrology, hydraulics, sedimentation, and river restoration.

Format
  • Hardback
License
© by the authors
Keywords
ombrian curves; intensity–duration–frequency curves; rainfall extremes; regionalization; regional frequency analysis; spatial rainfall; design rainfall; IANOS; medicane; Karditsa; HEC-HMS; HEC-RAS; remote sensing; SENTINEL; machine learning; sewer model; LSTM neural network; urban sewer flooding; flood exposure; geospatial analysis; open-access data; infrastructure; forensic hydrology; flood modeling; open dataset; HEC-RAS; MIKE FLOOD; Eastern Uganda; flood plains; flood hazard maps; HEC-RAS; return period; SWAT; dams; numerical simulations; physical modeling; water management; wetlands; nature-based solutions; flood mitigation; coastal flooding; tidal watersheds; compound flooding; D-vine copula; trivariate joint analysis; Bernstein estimator; beta kernel estimator; parametric copulas; kernel density estimation; return periods; extreme rainfall; default urban fraction; Kampala; urban parameter; updated urban fraction; WRF model; ensemble empirical mode decomposition (EEMD); flood period; tidal river; water level forecasting; hydraulic simulation; flood maps; digital elevation model; random forests; UAV mapping; DEM sensitivity; DEM errors; HEC-RAS; flood extent; flood risk assessment; coastal flooding; numerical modelling; storm surge; sea level elevation; inundation maps; Manning coefficient; raster grid; n/a