COUPLINGCOUPLING REALREAL --TIMETIME URBANURBAN FLOODFLOOD FORECASTINGFORECASTING WITHWITH POLLUTIONPOLLUTION ASSESSMENTASSESSMENT
Dr Fr édéric Jordan, e-dric.ch Murielle Thomet, e-dric.ch Tony Reverchon, ERM Jüerg Elsener -Metz, Ernst Basler + Partner AG
e-dric.ch ch. du Rionzi 54, CH-1053 Le Mont-sur-Lausanne Switzerland Content
° Objectives of the new system ° Methodology and model description ° Results of the analysis
° Online real-time monitoring and forecasting system
DSD International Conference - Hong Kong 2014 2 Objectives of the new system
∑ Morges - Switzerland : fast growing urban and peri- urban region into a high quality environment (35’000 EH)
∑ Main objective : adapt the existing wastewater and stormwater drainage system
V Increasing the knowledge and understanding of the existing sewer system V Identify local hotspots V Estimate the capacity reserve of the system V Define a maintenance and adaptation strategy
DSD International Conference - Hong Kong 2014 3 Methodology
DSD International Conference - Hong Kong 2014 4 Methodology
FIELDFIELD MODELLINGMODELLING OBSERVATIONSOBSERVATIONS - System diagnosis - Definition of adaptation strategy - Limited uncertainties
Update of the model into REAL -TIME MONITORING AND FORECASTING
- Validation of the adaptation strategy - Optimization of the measures - Keep knowledge growing
DSD International Conference - Hong Kong 2014 5 Methodology
MODELLINGMODELLING CONCEPTCONCEPT
DSD International Conference - Hong Kong 2014 6 Methodology
MODELLINGMODELLING TOOLTOOL -- RS2012RS2012 CityCity
Stormwater flowing into stormwater and natural drainage system
Wastewater flowing into stormwater and natural drainage system
Natural drainage Urban region system
DSD International Conference - Hong Kong 2014 7 Methodology
Reference model Analysis / diagnose Capacity reserve Current state of the Parameters of the pipe Input data system P Q networks P, T, EU* Parameters basins + pipe network - Treatment plant Capacity of Cr - Networks treatment plants Modelling -Pumping stations and RS2012-City EHEH stormwater spillways Environmental impact Separation EU ratio EC Local failures of the network
Scenarios of evolution Global hydraulic Control data Model calibration drainage Q, pollution indices • Continuous simulation efficiency • Field observations - Increase population - Refactoring / Global extension networks environmental efficiency
DATA SIMULATION MODEL SCENARIOS INDICATORS
DSD International Conference - Hong Kong 2014 8 Results
DSD International Conference - Hong Kong 2014 9 Results
Global calibration – Local validation
Clarmont : # ininhabitants 139 inhab. STAR Yens : Bussy : Vaux : STAP 2008-2012 1’050 inhab. 314 inhab. 135 inhab.
Mesures 2006
Vufflens : Lonay : 806 inhab. 2’469 inhab.
Denges : Denens : Monnaz : Echichens : 1’751inhab. 614 inhab. 345 inhab. 1’036 inhab.
Chigny : Ecublens : 326 2’534 inhab.
Tolochenaz : Morges : Préverenges : 1’720 inhab. 4’778 inhab. 5’113 inhab. Parc : 12’020 STEP : 33’124 (36.3% de STEP )
DSD International Conference - Hong Kong 2014 10 Results
Global calibration – Treatment plant
Discharge in m 3/s Simulation Observation
Local validation – field campaigns
Ecublens Lonay City
DSD International Conference - Hong Kong 2014 11 Results
Groundwater infiltration Average at treatment plant STEP : 30.4%
DSD International Conference - Hong Kong 2014 12 Results
Filling rate of pipe network (rainfall event)
Filling rate during rainfall
DSD International Conference - Hong Kong 2014 13 Results
Spilled wastewater 31’000 m3/y 1% of total inflow at treatment plant
DSD International Conference - Hong Kong 2014 14 Results
Groundwater infiltration Average at treatment plant STEP : 30.4%
DSD International Conference - Hong Kong 2014 15 Online platform
DSD International Conference - Hong Kong 2014 16 Online platform
Example of situation
DSD International Conference - Hong Kong 2014 17 Online platform
Example of situation
DSD International Conference - Hong Kong 2014 18 Online platform
Online platform ∑ Predict flood events in the wastewater as well as in the stormwater drainage systems
∑ Predict inflows at the treatment plant : optimization of energy consumption and maximization of treatment efficiency
V Efficiency control of the adaptation measures V Regular increase of the knowledge of the system by a daily analysis of the model – reality of the basin V Planning of field campaigns and construction works on the infrastructure
DSD International Conference - Hong Kong 2014 19 Thank you for your attention
erm.swissrivers.ch
erm
morges
DSD International Conference - Hong Kong 2014 20