The risk associated with urban flooding is expected to increase significantly in the future as a result of urbanization and climate change. It is therefore necessary to develop new strategies and tools for managing urban floods. With the increase of impervious surfaces in urban areas, due to rainfall rainwater on the surface tends to accumulate in ponds. The delimitation of these areas is important because they outline possible areas vulnerable to flooding. In this paper we have proposed the automatic identification of these ponds by developing an algorithm using the Model Builder tool of ArcGIS program. The model was applied to LiDAR data for the city of Wrocław in Poland, a city with a high risk of urban flooding. The Model Builder tool successfully delimits the ponds at the ground surface based on a Digital Elevation Model (DEM), without being necessary a manual intervention, thus saving time and energy for the users.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.