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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 135551
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 01.09.2011 - 31.08.2014
Approved amount 511'446.00
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All Disciplines (3)

Discipline
Other disciplines of Engineering Sciences
Meteorology
Mathematics

Keywords (6)

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

Lay Summary (English)

Lead
Lay summary

Reducingthe uncertainty in sewer system modelling


Background

Engineersdesign and operate sewer systems to provide sanitation and flood protection forour cities. However, climate change will most likely increase volumes andvariability of rainfall in the future. Consequently, there is an urgent needfor mitigation measures and to better use our existing infrastructure. However,promising solutions, such as optimal operation through real-time control ofdrainage networks, or the integrated optimization of sewers, wastewatertreatment plants and receiving waters are limited by two factors: poor rainfalldata and the computational costs of complex simulation models.

 

Aim

To maintaincurrent flood protection levels, we must first provide high-resolution rainfalldata beyond the point estimates of traditional rain gauges and the inaccurateinformation from rainfall radars. Second, we need fast simulation models andnovel techniques of uncertainty analysis to increase the credibility of modelpredictions. The goals of our project are therefore to reduce the uncertaintyin predicted wet weather flows with better rainfall information and to decreasethe computational requirements of sewer flow prediction models. Specifically,we will i) use commercial microwave links (MWLs) from telecommunicationnetworks as virtual rain gauges and ii) develop algorithms for dataassimilation to predict probabilistic rainfall fields that combine varioustypes of rainfall information. In parallel, we will investigate novel methodsto iii) identify model structure deficits and quantify associated uncertaintyand iv) develop efficient emulators of hydrodynamic sewer flow models that willbe used, together with the probabilistic rainfall fields, to reduce theuncertainty of predicted sewer flows.

 

Significance

In thefuture, such efficient emulators, together with improved rainfall informationbased on MWLs, will allow for a better operation of urban drainage systems andfor improved uncertainty assessment of the involved simulation models. Accuraterainfall data with a spatial resolution of a few hundred square meters and intime steps of few seconds or minutes would advance not only urban hydrology,but will allow for completely new types of analyses in a variety of fields frommeteorology to insurances.

Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants

Employees

Publications

Publication
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 Environmental Modelling & Software, 64, 205-214.
Assessing the potential of using telecommunication microwave links in urban drainage modelling
Fencl M., Rieckermann Jörg, Schleiss Marc A., Stránský David, Bareš Vojtěch (2013), Assessing the potential of using telecommunication microwave links in urban drainage modelling, in Water Science and Technology, 68(8), 1810-1818.
Dynamic time warping improves sewer flow monitoring
Dürrenmatt David J., Del Giudice Dario, Rieckermann Jörg (2013), Dynamic time warping improves sewer flow monitoring, in Water Research, 47(11), 3803-3816.
Improving uncertainty estimation in urban hydrological modeling by statistically describing bias
Del Giudice D., Honti M., Scheidegger A., Albert C., Reichert P., Rieckermann J. (2013), Improving uncertainty estimation in urban hydrological modeling by statistically describing bias, in HYDROLOGY AND EARTH SYSTEM SCIENCES, 17(10), 4209-4225.
Quality control of rain gauge measurements using telecommunication microwave links
Bianchi Blandine, Rieckermann Jörg, Berne Alexis (2013), Quality control of rain gauge measurements using telecommunication microwave links, in Journal of Hydrology, 492, 15-23.
Quantification and modeling of wet-antenna attenuation for commercial microwave links
Schleiss Marc A., Rieckermann Jörg, Berne Alexis (2013), Quantification and modeling of wet-antenna attenuation for commercial microwave links, in IEEE Geoscience and Remote Sensing Letters, 10(5), 1195-1199.
A mechanistic dynamic emulator
Albert C (2012), A mechanistic dynamic emulator, in NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 13(6), 2747-2754.
A Variational Approach to Retrieve Rain Rate by Combining Information from Rain Gauges, Radars, and Microwave Links
Bianchi Blandine, A Variational Approach to Retrieve Rain Rate by Combining Information from Rain Gauges, Radars, and Microwave Links, in JOURNAL OF HYDROMETEOROLOGY, 1897-1909.

Collaboration

Group / person Country
Types of collaboration
Raincell Burkina Faso Consortium Burkina Faso (Africa)
- in-depth/constructive exchanges on approaches, methods or results
Hunziker-Betatech Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Industry/business/other use-inspired collaboration
Innsbruck Technical University Austria (Europe)
- in-depth/constructive exchanges on approaches, methods or results
Danish Technical University Denmark (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Exchange of personnel
ORANGE communications Switzerland Switzerland (Europe)
- Research Infrastructure
- Industry/business/other use-inspired collaboration
Prague Technical University Czech Republic (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
Municipality of Adliswil Switzerland (Europe)
- Research Infrastructure

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
Seminar on statistical methods Individual talk Bayesian remedies for deviant models 03.07.2014 Lausanne, Switzerland Reichert Peter; Del Giudice Dario; Rieckermann Jörg;
European Geosciences Union General Assembly 2014 Poster ELIMINATING BIAS IN RAINFALL ESTIMATES FROM MICROWAVE LINKS DUE TO ANTENNA WETTING 27.04.2014 Vienna, Austria Rieckermann Jörg;
International Weather Radar and Hydrology Symposium Talk given at a conference Rainfall estimates from telecommunications microwave links improve urban runoff predictions 07.04.2014 Washington, DC, United States of America Fu Rao; Rieckermann Jörg; Del Giudice Dario;
International Weather Radar and Hydrology Symposium Talk given at a conference Bayesian assimilation of rainfall sen-­‐ sors with fundamentally different inte-­‐ gration characteristics 07.04.2014 Washington, D.C., United States of America Rieckermann Jörg;
SIAM Conference on Uncertainty Quantification Talk given at a conference Reducing computational time of urban drainage simulators by means of emulation 31.03.2014 Savannah, GA, United States of America Reichert Peter; Machac David;
WESS / IRTG - Hydrosystem Seminar, invited talk Talk given at a conference Give me a model and I will tell you what its uncertainty is.Give me a series of models and I will tell you how to interpret this uncertainty. 06.03.2014 Tübingen, Germany Reichert Peter; Rieckermann Jörg; Del Giudice Dario;
Invited talk at the Institute for Modelling Hydraulic and Environmental Systems, Uni Stuttgart Talk given at a conference My journey to improve hydrological predictions 05.03.2014 Stuttgart, Germany Reichert Peter; Rieckermann Jörg; Del Giudice Dario;
AGU Fall Meeting Talk given at a conference Selecting optimal hydrodynamic model complexity using a Bayesian description of bias 09.12.2013 San Francisco, United States of America Rieckermann Jörg; Del Giudice Dario; Reichert Peter;
36th Conference on Radar Meteorology Talk given at a conference RAINFALL NOWCASTING BY COMBINING RADAR, RAIN GAUGE AND MICROWAVE LINK MEASUREMENTS 16.09.2013 Breckenridge, CO, United States of America Berne Alexis; Bianchi Blandine;
11th International Precipitation Conference Poster Rainfall nowcasting by combining radars, microwave links and rain gauges 01.07.2013 Ede-Wageningen, Netherlands Berne Alexis; Bianchi Blandine;
The 15th Conference of the Applied Stochastic Models and Data Analysis International Society Talk given at a conference Emulation of Complex Simulator Models with Application to Hydrology 25.06.2013 Mataró, Spain Machac David;
8th Novatech conference Talk given at a conference Towards controlling urban storm water runoff with rainfall information from telecommunication microwave links 23.06.2013 Lyon, France Rieckermann Jörg;
European Geosciences Union General Assembly 2013 Talk given at a conference Improving prediction uncertainty estimation in urban hydrology with an error model accounting for bias 07.04.2013 Vienna, Austria Rieckermann Jörg; Del Giudice Dario; Reichert Peter;
9th INTERNATIONAL WORKSHOP on PRECIPITATION IN URBAN AREAS Poster Commercial Microwave links for urban precipitation monitoring: The COMMON experiment 06.12.2012 St. Moritz, Switzerland Rieckermann Jörg; Berne Alexis;
INTERNATIONAL WORKSHOP on PRECIPITATION IN URBAN AREAS Poster Robust extraction of rain-induced attenuation from microwave link observations using local regression 06.12.2012 St. Moritz, Switzerland Rieckermann Jörg;
9th Urban Drainage Modelling conference Talk given at a conference Dynamic Time Warping improves sewer flow monitoring 03.09.2012 Belgrade, Serbia, Serbien Del Giudice Dario; Rieckermann Jörg;
Nonlinear Dynamics of Electronic Systems, NDES 2012 Talk given at a conference A Mechanistic Dynamic Emulator 11.07.2012 Wolfenbüttel, Germany Reichert Peter;
7th European Conference on Radar in Meteorology and Hydrology Poster Rain rate estimation combining rain gauge, radar and microwave link data 25.06.2012 Toulouse, France, France Berne Alexis; Bianchi Blandine;
Summer School in “Advanced Data Assimilation in Geosciences Individual talk A Variational Approach to Retrieve Rain Rate by Combining Information from Rain Gauges, Radars, and Microwave Links 28.05.2012 Les Houches, France, France Bianchi Blandine; Berne Alexis;
Uncertainty Quantification Talk given at a conference A Mechanistic Dynamic Emulator 02.04.2012 Raleigh, USA, United States of America Reichert Peter; Machac David;


Self-organised

Title Date Place
Aqua Urbanica 30.09.2013 Dübendorf, Switzerland

Knowledge transfer events

Active participation

Title Type of contribution Date Place Persons involved
Mobile World Congress Performances, exhibitions (e.g. for education institutions) 24.02.2014 Barcelona, Spain Rieckermann Jörg;


Communication with the public

Communication Title Media Place Year
Talks/events/exhibitions Berücksichtigung von systematischen Modellabweichungen in der Kanalnetzsimulation German-speaking Switzerland International 2013

Awards

Title Year
Best paper of Urban Drainage Modelling conference 2012

Associated projects

Number Title Start Funding scheme
152824 Using Commercial Microwave Links and Computer Model Emulation to Reduce Uncertainties in Urban Drainage Simulations (COMCORDE) 01.09.2014 Interdisciplinary projects

Abstract

Engineers design and operate combined or separate sewer systems to provide sanitation and flood protection for our cities. However, the rapid drainage of urban areas and the emissions of untreated wastewater from com-bined sewer overflows increase the stress to receiving waters. This is expected to be even more pronounced in the future, because of emerging toxic contaminants, such as pesticides, and because of climate change which will probably increase volumes and variability of rainfall. Consequently there is an urgent need for mitigation measures and to better use our existing infrastructure. However, promising solutions, such as optimal operation through real-time control of drainage networks (RTC), or the integrated optimization of sewers, wastewater treatment plants and rivers through Integrated Modeling (IM), are limited by two factors: poor rainfall data and the computational costs of complex simulation models. To minimize receiving water pollution and at the same time maintain current flood pro-tection levels, we must therefore, first, provide high-resolution rainfall data beyond the point estimates of traditional rain gauges and the inaccurate information from rainfall radars. Second, we need fast simulation models and novel techniques of uncertainty analysis to increase the credibility of model predictions.The goals of our project are therefore to reduce the uncertainty in predicted wet weather flows with better rainfall information and to decrease the computational requirements of sewer flow prediction models. Specifi-cally, we will i) use commercial microwave links (MWLs) from telecommunication networks as virtual rain gauges and ii) develop algorithms for data assimilation to predict probabilistic rainfall fields that combine various types of rainfall information. In parallel, we will investigate novel methods to iii) identify model structure deficits and quantify associated uncertainty and iv) develop efficient emulators of hydrodynamic sewer flow models that will be used, to-gether with the probabilistic rainfall fields, to reduce the uncertainty of predicted sewer flows.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 RTC or IM, and for improved uncertainty assess-ment of the involved simulation models. Accurate rainfall data with a spatial resolution of a few hundred square me-ters and in time steps of few seconds or minutes would advance not only urban hydrology, but will allow for com-pletely new types of analyses in a variety of fields such as meteorology, hydrology, diffuse pollution and insurances.To reach these goals, we need an interdisciplinary project team of hydrometeorologists, engineers and ap-plied mathematicians for two distinct reasons. First, the knowledge of hydrometeorologists and engineers is needed to process the information from MWL and to calibrate and validate the estimated high-resolution rainfall fields using monitored runoff and detailed sewer flow modeling. Second, both disciplines need the contributions of applied mathe-maticians to rigorously account for the associated uncertainties and to develop fast emulators that decrease the simula-tion time of complex computer models.
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