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Abstract
This paper describes a comprehensive and unique open-access data set for research within hydrological and hydraulic modelling of urban drainage systems. The data come from a mainly combined urban drainage system covering a 1.7 km2 area in the town of Bellinge, a suburb of the city of Odense, Denmark. The data set consists of up to 10 years of observations (2010–2020) from 13 level meters, 1 flow meter, 1 position sensor and 4 power sensors in the system, along with rainfall data from three rain gauges and two weather radars (X- and C-band), and meteorological data from a nearby weather station. The system characteristics of the urban drainage system (information about manholes, pipes, etc.) can be found in the data set along with characteristics of the surface area (contour lines, surface description, etc.). Two detailed hydrodynamic, distributed urban drainage models of the system are provided in the software systems MIKE URBAN and EPA Storm Water Management Model (SWMM). The two simulation models generally show similar responses, but systematic differences are present since the models have not been calibrated. With this data set we provide a useful case that will enable independent testing and replication of results from future scientific developments and innovation within urban hydrology and urban drainage systems research. The data set can be downloaded from https://doi.org/10.11583/DTU.c.5029124 (Pedersen et al., 2021a).
Original language | English |
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Journal | Earth System Science Data |
Volume | 13 |
Issue number | 10 |
Pages (from-to) | 4779-4798 |
ISSN | 1866-3508 |
DOIs | |
Publication status | Published - 2021 |
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Dive into the research topics of 'The Bellinge data set: open data and models for community-wide urban drainage systems research'. Together they form a unique fingerprint.Projects
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The digital twin of urban drainage systems - dynamic models and measurements for error diagnosis
Pedersen, A. N. (PhD Student), Mikkelsen, P. S. (Main Supervisor), Borup, M. (Supervisor), Dahl, A. (Supervisor), Christiansen, L. E. (Supervisor), Vezzaro, L. (Examiner), Ingildsen, P. (Examiner) & Kerkez, B. (Examiner)
01/02/2019 → 31/03/2022
Project: PhD