Monitoring data for the publication "Fast inundation simulation with RIM2D for urban flood risk assessment and forecasting"

Benisch, Jakob; Helm, Björn; Becker, Stephan; Grummt, Sebastian

Monitoring data for the publication "Fast inundation simulation with RIM2D for urban flood risk assessment and forecasting"

Contributing person datacite.contributor.ProjectLeader	Krebs, Peter
Contributing person datacite.contributor.Researcher	Apel, Heike
Documentation of the data datacite.description.TechnicalInfo	Water discharge measurement using mean velocity and water level / sewer profile measured by ultrasonic and pressure sensors at three monitoring stations (MS2 / Before MS2 / MS5)
Additional geographical or spatial references datacite.geolocation	(Before MS2) "13.84344031, 51.00444264 "
Additional geographical or spatial references datacite.geolocation	(MS5) "13.84466506, 51.00408105"
Additional geographical or spatial references datacite.geolocation	Saxony
Additional geographical or spatial references datacite.geolocation	(MS2) "51.004937, 13.844218"
Countries to which the data refer datacite.geolocation.iso3166	GERMANY
References to related material datacite.relatedItem.IsSupplementTo	Publication "Fast inundation simulation with RIM2D for urban flood risk assessment and forecasting"
Description of the data datacite.resourceType	Monitoring data used for model calibration and evaluation from the Urban Observatory of the Chair of Urban Water Management
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	364674
Author dc.contributor.author	Benisch, Jakob
Author dc.contributor.author	Helm, Björn
Author dc.contributor.author	Becker, Stephan
Author dc.contributor.author	Grummt, Sebastian
Upload date dc.date.accessioned	2023-10-05T11:06:12Z
Publication date dc.date.available	2023-10-05T11:06:12Z
Publication date dc.date.available	2026-05-19T14:50:49Z
Data of data creation dc.date.created	2016-2021
Publication date dc.date.issued	2023-10-05
Abstract of the dataset dc.description.abstract	Urban pluvial flooding is a growing concern worldwide as consequence of rising urban population and climate change induced increases in heavy rainfall. Easy-to-implement and fast simulation tools are needed to cope with this challenge. This study describes the development of the parsimonious, GPU-accelerated hydraulic model RIM2D for urban pluvial flood simulations. This is achieved by considering the built-up urban area as flow obstacles, and by introducing capacity-based approaches to consider urban drainage by infiltration on pervious surfaces and sewer drainage from roofs and sealed surfaces. The model performance was analyzed by simulating 8 heavy rainfall events in a test area in the city of Dresden, Germany. For these events detailed discharge measurements of sewer discharge are available, providing a unique dataset for evaluating the sewer drainage simulation, which is of high importance for realistic pluvial inundation simulations in urban areas. We show that the model simulates the temporal dynamics of the sewer discharge and the sewer volume within acceptable ranges. Moreover, the erratic variation of the simulated to measured sewer discharge suggests that the deviations from the measurements are caused by the precipitation input rather than the model simplifications. We conclude that RIM2D is a valid tool for urban inundation simulation. Its short simulation runtimes allow probabilistic flood risk assessments and operational flood forecasts.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2352
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-247
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution 4.0 International
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	3::34::318::318-01
Title of the dataset dc.title	Monitoring data for the publication "Fast inundation simulation with RIM2D for urban flood risk assessment and forecasting"
Research instruments opara.descriptionInstrument	NIVUS POA / mini sensors, onset HOBO U-20 sensors
Underlying research object opara.descriptionObject.PhysicalObject	Discharge data from rain events in the sewer network of Dresden
Project abstract opara.project.description	The aim of urban water resources management is, to describe the water related mass flows and their interactions between technical infrastructure and the natural environment elaborately. This should improve the conditions for identifying reasonable and sustainable management solutions.
Project title opara.project.title	Urban Water Resources Management (UWRM)