Development and evaluation of a framework for global flood hazard mapping

摘要: Abstract Nowadays, the development of high-resolution flood hazard models have become feasible at continental and global scale, their application in developing countries data-scarce regions can be extremely helpful to increase preparedness population reduce catastrophic impacts. The present work describes a novel procedure for mapping, based on most recent advances large scale modelling. We derive long-term dataset daily river discharges from hydrological simulations Global Flood Awareness System (GloFAS). Streamflow data is downscaled high resolution network processed provide input local inundation simulations, performed with two-dimensional hydrodynamic model. All flood-prone areas identified along are then merged create maps different return periods 30′′ resolution. evaluate performance our methodology several basins across globe by comparing simulated both official mosaic flooded detected satellite images. evaluation also includes comparisons results other models. further investigate sensitivity modelling framework parameters approaches identify strengths, limitations possible improvements methodology.