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Integrated Modelling to Support Integrated Management: Real-time Catchment Approaches - Nick Elderfield (DHI)
The document presents an integrated modeling approach for managing water environments, focusing on real-time catchment management and climate change adaptation. DHI outlines its expertise and tools for data management, scenario analysis, and stakeholder involvement to address water quality, flood control, and sustainable urban development. Specific case studies, including river management in Aarhus, Denmark, showcase successful implementation of infrastructure and real-time control systems to enhance water quality and reduce flooding risks.
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Integrated Modelling to Support Integrated Management: Real-time Catchment Approaches - Nick Elderfield (DHI)
- 1. Integrated modelling tosupport integrated management - real-time catchment approaches Nick Elderfield Managing Director DHI Water Environments
- 2. Our world is water ©DHI Introducing DHI The expert in WATER ENVIRONMENTS #2
- 3. © DHI Our areasof expertise to help solve the world’s toughest challenges in water environments Aqua- & agriculture Marine structure & energy Climate change Coast & marine Surface & ground water Urban water Industry Environment & ecosystems Product safety & environmental risks #3
- 4. Who we are …andwhy we can claim to be the expert in water environments © DHI #4
- 5. Our people advanceour knowledge and deliver it worldwide Highly qualified Equal employment 1100+ staff 120 man years R&D Representing 56 nationalities Global knowledge sharing & staff mobility © DHI #5
- 6. What we know Globalknowledge of water environments
- 7. At our Core Makingthis knowledge accessible
- 8. Integrated catchment approaches– the DHI view © DHI #8
- 9. © DHI Basis forthe approach #9
- 10. © DHI Basis forthe approach #10 Real-time Planning Core Data & Information management Prevention and mitigation Climate change adaptation Operational forecasting Emergency management Live model Access Business Intelligence Resource assessment
- 11. © DHI Basis forthe approach #11 • data ownership • access to data • sharing of data • trust building • problem identification • scenario analysis • stakeholder involvement • performance indicators • weightings (MCA) • socio economics • operations (day-to-day) Technicians / Engineers Policy Makers / Managers • data safety • data visualisation • data processing • Institutional issues • water use strategies • Investment strategies Exchange and access to data and information Modelling and Analysis MIKE Customised Data
- 12. © DHI Basis forthe approach Model Tools Data Management Reporting Analysis Scenario Management Baseline Alt 1 Alt 2 Alt 3 Alt 4 Alt 5 Total weighted Cost Sedimentation Pop. Displace. Flood Control Water Supply 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Performance Value Alternatives Criteria Flood Reduction Investment Alternatives Evaluation MCA / CBA Ensemble
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- 14. © DHI #15 • Integrated Fullydynamic coupling • Distributed Spatial and temporal variation of input data and parameters • Physically based Basic flow processes, physical interpretation of model parameters, direct use of field data • Comprehensive ‘All-in-one’-model
- 15. © DHI River Parrett Catchment #16 •Prone to winter floods of fresh water and salt water in connection with extremely high tides • Much of the low-lying area is designated as a wetland of outstanding ecological importance • Conflicts between land and water management activities
- 16. © DHI River Parrett Catchment #17 Jong-SookPark & Ian Cluckie, Swansea University FRMRC project
- 17. © DHI River Parrett Catchment #18 Jong-SookPark & Ian Cluckie, Swansea University • Study investigated changes in land use • Implementation of flood detention upstream Findings • Significant local effects • Limited flood benefits on the catchment scale However - Significant benefits in terms of catchment management. • Sediment management • Ecosystem services
- 18. Integrated real-time controlof major river systems © DHI #19
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- 20. © DHI CARM #21 Knowledge ofriver behaviour Measurements of river flows and diversions Forecast of inflows and demands
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- 23. Integrated real-time controland warning for urban areas and receiving waters © DHI #24
- 24. © DHI Aarhus –Denmark … Second largest city in Denmark … European Cultural Capital 2017 - RETHINK Aarhus …Located by the Sea …310,000 inhabitants #25 ©Sculpturesbythesea©visitaarhus
- 25. © DHI Aarhus –Danish for Progress … Architecture and art … Business and industries …Aarhus University …Recreational and active use of the environment #26
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- 28. © DHI Project drivers …Integrating waterinto the urban space … Recreational use of water …New housing area on the harbor front …Rapid city development #29 ©Politiken©Aarhus.dk
- 29. A forward lookingproject made in co- operation between Aarhus Municipality and Aarhus Water From overall vision for the future to concrete plan of actions. Water Vision 2100 ”Pure water both in nature and for drinking – now and in the future 2100 © Aarhus Water © DHI 30
- 30. © DHI Expected projectoutcome …Improved water quality/partly bathing water in River Aarhus … Bathing water in the Harbour (hygienic) …Bathing water in Lake Brabrand (hygienic) #31 © Aarhus Water © Aarhus Water © Aarhus Water
- 31. From vision tooperation © DHI #32
- 32. © DHI 3 projects- 1 solution …Implementation of infrastructure 2007-2012 …Integrated model based control and warning PREPARED 2009-2013 …Analysis and design 2006-2007 #33
- 33. Boundary conditions © DHI Riverthrough the city Recipient for urban water Water level affects CSO Water level in harbour Defines river gradient Rising sea levels? Good water quality - Harbour bath - Housing on the harbour Increased flooding frequency Outflow depended on the sea level Increased rural run-off due climate changes AIM: To forecast the water quality in the harbour Optimize the capacity of the drainage system and the WWTP’s #34
- 34. Domain of realtime system control © DHI #35 A B C Return period Rainfallintensity Light rain return period < 1 year Design rain return period 2-10 year Extreme rain return period > 100 year Adapted from: Fratini et al. (2012)
- 35. Challenge – Recreationalwater is receiving water © DHI 3 wastewater treatment plants 75 combined sewer overflows (CSO) 58 storm water drains 50% of the flow in the river is from WWTPs © DHI #36
- 36. Finding the rightsolution © DHI • Multiple scenario analysis based on integrated modelling − Retention basin volumes − System layout − WWTP capacity − Storm water system upgrade − Removal of CSO structures − Disinfection of WWTP effluent − Climate scenarios Mike Urban Model #37
- 37. Identified challenges • Sufficientstorage tank volume − cost/space limitations in old city center • Sufficient water quality − bathing water quality in Lake Brabrand The Harbour of Aarhus and partly in the River of Aarhus • Climate change − rain intensity and sea level rise © DHI #38 © PREPARED © PREPARED © PREPARED
- 38. Solution - 50mill. EUR project 2009-2013 • Infrastructure investment − 9 retention basins − Disinfection at WWTPs and basin − Increased hydraulic capacity at WWTPs • Optimized control System − Integrated real time modelling/control (sewer system/WWTP) − Early Warning System © DHI #39
- 39. Integrated Real TimeControl System © DHI SCADA Models Rainfall forecast • Automated operation of: − Data collection − Data processing − Model execution − Finding the optimal solution − Control of structures − Issue warnings #40
- 40. Integrated real-time control ©DHI Sewer #41
- 41. DHI Local AreaWeather Radar (LAWR) • Small scale weather radar − X-band radar • Range • 60 km for forecast • 20 km for Quantitative Est. • Spatial resolution (Cartesian) • 500x500, 250x250, 100x100 m • Image frequency • 1 or 5 minute LAWR installation in Aarhus Denmark. © DHI #42
- 42. © DHI MIKE 11 MIKEURBAN MIKE 3MIKE SHE Data flow Model preparation Model execution Real time control Issues of warning DIMS.CORE Distributed rainfall from DHI Radar Automated Integrated Modelling
- 43. DHI bathing waterforecast service © DHI #44
- 44. • App andweb based public warning system Public information on bathing water quality © DHI #45
- 45. Internet 46 Environmental Section Aarhus Municipality AarhusWater Utility company Waterforecast Operated by DHI One realtime system - Integrating data from multiple organizations and authorities © DHI
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- 47. © DHI Project Status …Improvedwater quality in River Aarhus … Bathing water in the Harbour (hygienic) …Bathing water in Lake Brabrand (hygienic) #48 © Stiften ©Politiken © Stiften
- 48. Saving in investment ©DHI • Ordinary and larger retention basins 79 million EUR • Controllable and smaller retention basins 45,6 million EUR • Automation and control system 1,7 million EUR • Total 47,3 million EUR • Saving 32 million EUR 40 % #49
- 49. Thank you Nick Elderfield,DHI Water Environments UK Ltd nje@dhigroup.com © DHI #50