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DSD-INT 2018 Hydrodynamic and Water Quality modelization of Cuerda del Pozo reservoir - Castrillo

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Presentation by Maria Castrillo, Institute of Physics of Cantabria (IFCA), at the Delft3D - User Days (Day 4: Water quality and ecology), during Delft Software Days - Edition 2018. Thursday, 15 November 2018, Delft.

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DSD-INT 2018 Hydrodynamic and Water Quality modelization of Cuerda del Pozo reservoir - Castrillo

  1. 1. Hydrodynamic and Water Quality modelization of Cuerda del Pozo reservoir Maria Castrillo*, Daniel García, Fernando Aguilar, Jesús Marco, Agustín Monteoliva *Presenting <castrillo@ifca.unican.es> University of Cantabria (Spain) November 15, 2018
  2. 2. 2 Table of contents 1. Who are we? 2. Framework: XDC project 3. Use case: Cuerda del Pozo reservoir 4. Hydrodynamic model 5. Water quality model 6. Conclusion
  3. 3. Who are we?
  4. 4. 4 IFCA: Institute of Physics of Cantabria • Joint center CSIC – University of Cantabria (UC) • Research lines: → Galaxies and AGNs → Observational Cosmology and Instrumentation → Particle Physics and Instrumentation → Advanced Computing and e-Science → Nonlinear Dynamics, Meteorology and Data Mining
  5. 5. 5 Advanced Computing and e-Science group • Objectives: – Develop a complete support chain for data management, specially large data volumes using BigData techniques. – Integrate different components for mutidisciplinary applications (sensors, data acquisition, computing frameworks, simulation, etc.). – Foster the usage, maintain and improve the existing computing infrastructure. – Study the scalability of those solutions in HPC, supercomputing, clusters, Grid and Cloud frameworks. • Some of our projects
  6. 6. Framework
  7. 7. 7 XDC Project The eXtreme DataCloud (XDC) project (H2020) o Scalable technologies for federating storage resources and managing data in highly distributed computing environments. o XDC addresses requirements from a wide range of User Communities belonging to several disciplines. o Testing the developed solutions against the real life use cases provided by the Communities represented in the Consortium.
  8. 8. 8 Lifewatch Biodiversity and ecosystem research: Lifewatch ERIC o Water quality forecasting for supplying and other human- related uses. o Predicting alert and warning to allow citizens and authorities to put in place appropriate countermeasures. o By means of specific models that rely on heterogeneous data sources (monitoring instrumentation, satellite data, and meteorological data).
  9. 9. 9 Data Life Cycle in LifeWatch Use case
  10. 10. Use case: Cuerda del Pozo reservoir
  11. 11. 11 The Cuerda del Pozo reservoir o Located in the header of the Duero river in Spain o The dam was constructed in 1941 o It supplies drinking water to small cities around and supports the agriculture in an extended zone. o 2176 Ha, maximum length of 12 km. o 10 m average depth, 36 m maximum depth. o 229.2 hm3 of capacity o Recreational and touristic area, comprising a river beach, with high affluence during the summertime.
  12. 12. 12 The Cuerda del Pozo reservoir o The reservoir of Cuerda del Pozo has experienced diverse HABs episodes. o Between 2007 and 2010 several harmful species were detected, like Anabaena sp. and Aphanizomenon flos-aquae. o In 2010 several sewage treatment facilities were put into operation in different points of the drainage basin.
  13. 13. 13 Previous work DORII project (FP7) ROEM+ project (LIFE) o Platform with surface sensors and vertical profiling: physical, chemical, biological, etc. o Buoys with sensors and sample campaigns in different points of the drainage basin. o Data visualization tool. o Watershed model for tributaries flowrate and nutrients characterization.
  14. 14. Hydrodynamic model
  15. 15. 15 Hydrodynamic model with Delft3D-FLOW Horizontal resolution: 40 × 40 m → 122 × 95 cells Vertical resolution: ⁓1 m layers → 35 layers Temporal resolution: 5 min Co-ordinate system: Z model
  16. 16. 16 Setting up of the hydrodynamic model o Forcing functions • solar radiation (hourly basis) • air temperature (hourly basis) • relative humidity (hourly basis) • wind speed and direction (temporal resolution of 10 minutes) o 5 tributaries as walking discharges: • flow rate (daily basis) • salinity (daily basis) • temperature (daily basis) o 2 outlets in the dam as open boundary: • flow rate (daily basis) o Modelling periods: • Calibration: April – October 2014 • Validation: April – October 2015 0 50 100 150 200 250 300 350 400 01/04/2015 21/05/2015 10/07/2015 29/08/2015 18/10/2015 Dailyaverageradiation(Wm-2) Date 0 1 2 3 4 5 6 7 8 01/04/2015 21/05/2015 10/07/2015 29/08/2015 18/10/2015 Flowrate(m3s-1) Date Revinuesa Remonicio Ebrillos Dehesa Duero
  17. 17. 17 Some results o Direct results • Water level temporal profile • Temperature vertical profiles in monitoring points • Salinity concentration o Derived results • Thermal stratification • Epilimnion and hypolimnion temperatures • Thermocline location and temperature Rimmer et al. 2005
  18. 18. Water quality model
  19. 19. 19 Water quality model with Delft3D-ECO Based on hydrodynamic model output and watershed model: o 5 tributaries: • flow rate (daily basis) • P, N and Si dissolved and particulate concentrations (daily basis) o 2 outlets in the dam: • flow rate (daily basis) o 1 monitoring point Setting up the model with the PLCT Light regime Nitrification and denitrification Organic matter decomposition Phytoplankton processes Silicate disolution Other auxiliary processes
  20. 20. 20 Schematic overview of the model Water Atmosphere POX1 DOX PO4 NH4 CO2CO2 NO3 DO OPAL Si Phytoplankton POX2 O2 CO2
  21. 21. 21 Some results o Limiting factors •Until July, nitrogen is the limiting factor. •From July, light becomes the limiting factor. •PO4-P concentration remains near constant at about 0,005 g/m3. Phytoplankton concentrates at the depth of the metalimnion. Depth averaged (2-10 m) chlorophyll temporal profile Chlorophyll vertical profile
  22. 22. 22 Problems found • Auxiliary process EMERSION is switched on with Zthreshold = 0.01 m. Switch indicating emersion and submerssion works properly but cells with switch = 1 are not deactivated. • If discharges are located in cells that become dry, or its surrounding cells become dry, the flow is interrupted, although they are set as walking discharges in the hydrodynamic model.
  23. 23. Conclusions
  24. 24. 24 Conclusions and next steps o Conclusions • Delft3D has been succesfully implemented for hydrodynamics and water quality modelization in Cuerda del Pozo reservoir. • A large amount of data is needed, coming from highly heterogeneous data sources. • Large models require powerful computing and storage resources. • Representative use case of a cloud infrastructure: computing, storage and virtual research environments can be provided. o Next steps • Developing tools for integrated data pre- processing to be used as input for forecasting models. • Implementing practices for proper metadata management. • Orchestration and workflow integration. • Obtaining data to perform forecasting.
  25. 25. References Rimmer et al. (2005)
  26. 26. Thank you for your attention http://www.extreme-datacloud.eu/ @IFCA_Computing @XtremeDataCloud

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