Publications

Exploiting machine learning to radically change the way hydrodynamic simulations support planning and operation of smart liveable cities

Grum, M. ; Palmitessa, R. ; Bauer, F. ; Engels, R. ; Ringelkamp, M. ; Siekmann, M. ; Mikkelsen, P. S. ; Löwe, R.
Presented at: IWA World Water Congress & Exhibition 2022

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2022

First flush assumptions in pollution management for separate stormwater systems

Jensen, D. M. R. ; Sandoval, S. ; Bertrand-Krajewski, J.-L. ; Mikkelsen, P. S. ; Vezzaro, L.
Presented at: 10^th International Conference on Sewer Processes and Networks (SPN10)

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2022

Hvidbog om udledning af vand fra byer

Vezzaro, Luca ; Arnbjerg-Nielsen, Karsten ; Mikkelsen, Peter Steen

Type: Report

Status: Published | Year: 2022

Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning

Palmitessa, Rocco ; Hjermitslev, Oliver Gyldenberg ; Johansen, Heidi Egeberg ; Arnbjerg-Nielsen, Karsten ; Bauer-Gottwein, Peter ; Mikkelsen, Peter Steen ; Löwe, Roland
Presented at: EGU General Assembly 2022

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2022 | DOI: https://doi.org/10.5194/egusphere-egu22-8823

LAR Potentiale

Jakobsen, Camilla Christiane ; Lerer, Sara Maria ; Mikkelsen, Peter Steen ; Sørup, Hjalte Jomo Danielsen
in: Vand & Jord, vol: 29, pages: 49-52

Type: Journal article

Status: Published | Year: 2022

Using deep learning to combine satellite observations, topographic information and rainfall spatial data for large-scale flood predictions

Palmitessa, R. ; Hjermitslev, O. G. ; Johansen, H. E. ; Arnbjerg-Nielsen, K. ; Bauer-Gottwein, P. ; Mikkelsen, P. S. ; Löwe, R.
Presented at: IWA World Water Congress & Exhibition 2022

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2022

Using multi-event hydrologic and hydraulic signatures from water level sensors to diagnose locations of uncertainty in integrated urban drainage models used in living digital twins

Pedersen, A. N. ; Pedersen, J. W. ; Borup, M. ; Brink-Kjær, A. ; Christiansen, L. E. ; Mikkelsen, P. S.
in: Water Science and Technology, vol: 85, issue: 6, pages: 1981-1998

Type: Journal article (Peer reviewed)

Status: Published | Year: 2022 | DOI: https://doi.org/10.2166/wst.2022.059

Using weather radar to improve the prediction accuracy of LSTM neural networks for anomaly detection of water level measurements in UDS

Aarestrup, P. ; Mikkelsen, P. S.
Presented at: 12th Urban Drainage Modeling conference

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2022

Water Sector Governance & Operations – the Danish Model

Mikkelsen, P.S. ; Hansen, S.F. ; Jacobsen, B.H. ; Holm, P.E.
Presented at: IWA World Water Congress & Exhibition 2022

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2022

A data-driven analysis of trace contaminants in wet-weather discharges

Mutzner, Lena ; Furrer, Viviane ; Castebrunet, Hélène ; Gernjak, Wolfgang ; Gromaire, Marie-Christine ; Matzinger, Andreas ; Mikkelsen, Peter Steen ; R. Selbig, William ; Vezzaro, Luca
Presented at: 15th International Conference on Urban Drainage

Type: Conference abstract for conference (Peer reviewed)

Status: Published | Year: 2021