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.