Getting started with urban flood modelling for real-time pluvial flood forecasting: a case study with sparse data

作者: Jeanne-Rose René , S Djordjevic , David Butler , Henrik Madsen , Ole Mark

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摘要: It is becoming increasingly difficult to ignore the threats fronted by island nations from tropical storms or hurricanes in some regions and typhoons in others. The recent increase in urban flooding in these regions due to rainfall has attracted the attention of relevant authorities to address flooding in a more proactive manner. However, this has been a challenge in many regions where the data required for flood management in general is sparse. This study will demonstrate how to utilize the available resources to understand the magnitude of flooding in the urban area and how this information can be used for real-time pluvial flood forecasting. The extent of modelling that can be done depends greatly on the kind of data which is available. This study utilizes spot heights, orographic images, buildings shapes derived from the images and knowledge of the area to build a 2D overland model which will be used for real-time …

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