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Using Commercial Microwave Links and Computer Model Emulation to Reduce Uncertainties in Urban Drainage Simulations (COMCORDE)

English title Using Commercial Microwave Links and Computer Model Emulation to Reduce Uncertainties in Urban Drainage Simulations (COMCORDE)
Applicant Rieckermann Jörg
Number 152824
Funding scheme Interdisciplinary projects
Research institution Urban Water Management Department Eawag
Institution of higher education Swiss Federal Institute of Aquatic Science and Technology - EAWAG
Main discipline Other disciplines of Engineering Sciences
Start/End 01.09.2014 - 31.08.2015
Approved amount 128'090.00
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All Disciplines (3)

Discipline
Other disciplines of Engineering Sciences
Mathematics
Meteorology

Keywords (6)

Uncertainty analysis; Microwave attenuation; Urban Drainage; Remote sensing; Statistical system emulators; Model structure deficits

Lay Summary (German)

Lead
Der Klimawandel wird aller Voraussicht nach den Überflutungsschutz in unseren Siedlungen beeinträchtigen. Das Projekt COMCORDE untersucht, ob Mobilfunkantennen bessere Regendaten liefern können und ob bessere und robustere Simulationsmodelle eine bessere Auslastung der Kanalnetze ermöglichen.
Lay summary

Unsere Kanalisationen gewährleisten in der Regel den Hochwasserschutz unserer Städte. In der Zukunft wird dieser durch die aufgrund des Klimawandels zunehmenden Niederschläge verstärkt, wobei es fraglich ist wie flexibel sich unsere Kanalisation an die veränderten Randbedingungen anpassen lässt. Folglich besteht ein dringender Bedarf an Maßnahmen zur besseren Nutzung unserer vorhandenen Infrastruktur. Allerdings sind jedoch vielversprechend Lösungen, wie die Abflussteuerung in Kanalisationen, oder die integrierte Betrachtung von Kanalisation, Kläranlagen und Flüsse, durch zwei Faktoren begrenzt: ungenaue Regendaten und den hohen Rechenaufwand unserer Rechenmodelle.

 

Die Ziele unseres COMCORDE Projekts sind daher, die Unsicherheit in unseren Berechnungen durch bessere Regendaten zu reduzieren, und die Verlässlichkeit der Modellvorhersagen zu erhöhen, in dem wir einerseits die Rechenzeiten unserer Vorhersagemodelle zu verringern und andererseits viele verschiedenartige Lastfälle gleichzeitig betrachten. Dazu werden wir erstens Richtfunkantennen aus Mobilfunknetzen als virtuelle Regenschreiber verwenden und zweitens Algorithmen entwerfen, die Regeninformation aus verschiedenen Quellen assimilieren können. Parallel dazu werden wir drittens neue Methoden untersuchen, die die Auswirkung von Modellstrukturfehlern auf die berechneten Abflüsse berücksichtigen. Viertens werden wir effiziente Emulatoren von hydrodynamischen Kanalnetzmodellen entwickeln, die es ermöglichen, sehr viele Berechnungen in annehmbarer Zeit durchzuführen.

 

In Zukunft werden effiziente Emulatoren, zusammen mit verbesserten Regendaten von Mobilfunkantennen, eine bessere Auslastung der Entwässerungssysteme ermöglichen, zum Beispiel durch Abflussteuerung. Genaue Niederschlagsdaten mit einer hohen räumlichen und zeitlichen Auflösung sind nicht nur für die Stadtentwässerung von Nutzen, sondern eröffnen auch völlig neue Perspektiven- von der Meteorologie bis zur Versicherungsbranche.

 

Direct link to Lay Summary Last update: 11.08.2014

Responsible applicant and co-applicants

Employees

Publications

Publication
Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation
Del Giudice Dario, Albert Carlo, Rieckermann Jörg, Reichert Peter (2016), Describing the catchment-averaged precipitation as a stochastic process improves parameter and input estimation, in Water Resources Research, 52(4), 3162-3186.
Emulation of dynamic simulators with application to hydrology
Machac David, Reichert Peter, Albert Carlo (2016), Emulation of dynamic simulators with application to hydrology, in Journal of Computational Physics, 313, 352-366.
Fast {Mechanism}-based {Emulator} of a {Slow} {Urban} {Hydrodynamic} {Drainage} {Simulator}
Machac David, Reichert Peter, Rieckermann Jörg, Albert Carlo (2016), Fast {Mechanism}-based {Emulator} of a {Slow} {Urban} {Hydrodynamic} {Drainage} {Simulator}, in Environ. Model. Softw., 78(C), 54-67.
Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors
Del Giudice Dario, Löwe Roland, Madsen Henrik, Mikkelsen Peter Steen, Rieckermann Jörg (2015), Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors, in Water Resources Research, 51(7), 5004-5022.
Model {Bias} and {Complexity} - {Understanding} the {Effects} of {Structural} {Deficits} and {Input} {Errors} on {Runoff} {Predictions}
Del Giudice D., Reichert P., Bareš V., Albert C., Rieckermann J. (2015), Model {Bias} and {Complexity} - {Understanding} the {Effects} of {Structural} {Deficits} and {Input} {Errors} on {Runoff} {Predictions}, in Environ. Model. Softw., 64(C), 205-214.
The value of streamflow data in improving TSS predictions – Bayesian multi-objective calibration
Sikorska A.E., Del Giudice D., Banasik K., Rieckermann J. (2015), The value of streamflow data in improving TSS predictions – Bayesian multi-objective calibration, in Journal of Hydrology, 530, 241-254.

Collaboration

Group / person Country
Types of collaboration
Technical University of Denmark Denmark (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Exchange of personnel
University of Yaounde I Department of Electrical and Telecommunications Engineering Yaoundé, Cameroo Cameroon (Africa)
- in-depth/constructive exchanges on approaches, methods or results
- Research Infrastructure
- Exchange of personnel
BASE Belgium (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Research Infrastructure
- Industry/business/other use-inspired collaboration
Ericsson Microwave systems R&D Sweden (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Industry/business/other use-inspired collaboration
Technical University in Prague Czech Republic (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Research Infrastructure
- Exchange of personnel

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
The IWA World Water Congress & Exhibition 2016 Poster Identifying suitable regions for high-resolution weather product based on remote sensing with telecommunication networks 09.10.2016 Brisbane, Australia Rieckermann Jörg;
AGU 2015 conference Talk given at a conference Beyond Rainfall Multipliers: Describing Input Uncertainty as an Autocorrelated Stochastic Process Improves Inference in Hydrology 14.12.2015 San Francisco, United States of America Del Giudice Dario; Rieckermann Jörg; Albert Carlo; Reichert Peter;
Aqua Urbanica Talk given at a conference Verwendung von Emulatoren in der Stadtentwässerung 23.10.2014 Innsbruck, Austria Reichert Peter; Machac David; Albert Carlo;
13th International Conference on Urban Drainage Talk given at a conference Reducing Computational Time of Urban Drainage Simulators by Means of Emulation 07.09.2014 Sawarak, Malaysia Machac David; Reichert Peter; Albert Carlo;


Knowledge transfer events

Active participation

Title Type of contribution Date Place Persons involved
Environmental remote sensing with Commercial Microwave Links - Meeting @Eawag Workshop 23.10.2016 Eawag, Dübendorf, Switzerland Rieckermann Jörg; Berne Alexis;
Assessing the potential of the BASE backhaul network for rainfall monitoring in Belgium Workshop 22.03.2016 Eawag, Dübendorf, Switzerland Rieckermann Jörg;
RainGain project - International Workshop Talk 06.10.2014 Exeter, Great Britain and Northern Ireland Del Giudice Dario;


Communication with the public

Communication Title Media Place Year
New media (web, blogs, podcasts, news feeds etc.) Using Commercial Microwave Links and Computer Model Emulation to Reduce Uncertainties in Urban Drain Eawag homepage/blog International 2016

Associated projects

Number Title Start Funding scheme
135551 Using Commercial Microwave Links and Computer Model Emulation to Reduce Uncertainties in Urban Drainage Simulations (COMCORDE) 01.09.2011 Interdisciplinary projects
169295 Calibrating stochastic hydrological models to signatures 01.04.2017 Project funding (Div. I-III)

Abstract

Engineers design and operate combined or separate sewer systems to provide sanitation and flood protection for our cities. However, the stress to receiving waters and the risk of urban flooding is expected to be even more pronounced in the future, because of emerging toxic contaminants and because of climate change, which will probably increase volumes and variability of rainfall. The aim of the SNF-sponsored COMCORDE project (CR22I2_135551) is to investigate whether better information on urban rainfall and better modeling capabilities can help improve flood protection for our cities and reduce environmental pollution. In the present proposal, we apply for a supplementary grant for a 1-year prolongation of COMCORDE, which has been delayed for unforeseen reasons.To reach the original goal of our project, we will i) investigate the data quality of microwave link (MWL) rainfall estimates and use the collected data to identify important influential variables, such as antenna wetting or signal quantization, ii) investigate how to separate uncertainty in input data, e.g. assimilated rainfall fields, from model structure deficits, iii) assess the gain of information of using MWLs in the calibration of urban drainage models, and iv) develop fast probabilistic forecasts of rainfall-runoff in sewers using the developed mechanistic emulator.In the future, such efficient emulators, together with improved rainfall information based on MWLs, will allow for a better operation of urban drainage systems, for example through Real-Time Control or integrated modelling of sewers, treatment plant and receiving waters. Accurate rainfall data with a spatial resolution of a few hundred square meters and in time steps of few seconds or minutes will advance not only urban hydrology, but will allow for completely new types of analyses in a variety of fields such as meteorology, hydrology, diffuse pollution and insurances.
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