Water Resources Management

, Volume 30, Issue 5, pp 1785–1802 | Cite as

Designing a Hydrological Real-Time System for Surface Water and Groundwater in Denmark with Engagement of Stakeholders

  • Xin He
  • Simon Stisen
  • Marianne B. Wiese
  • Hans Jørgen Henriksen
Article

Abstract

Increasing attention on extreme hydrological events has created considerable demand for real-time information on surface water, groundwater and the unsaturated zone. In the present study, we describe how to convert a national water resources model (DK-model) covering the entire freshwater cycle in Denmark to real-time application. We have engaged stakeholders in the process of designing a hydrological real-time system. The participatory approach has been supported by a web-based questionnaire survey and a participatory workshop. A system prototype presented to the stakeholders simulates groundwater levels, streamflow and water content in the root zone with a lead time of 48 h. The active engagement of stakeholders has provided very valuable insights and feedbacks regarding how model and data should be combined in a real-time to best supporting water resources management.

Keywords

Real-time modeling National hydrological model Integrated modeling Stakeholder engagement 

References

  1. Almoradie A, Jonoski A, Stoica F, Solomatine D, Popescu I (2013) Web-based flood information system: case study of Somesul Mare, Romania. Environ Eng Manag J 12:1065–1070Google Scholar
  2. Almoradie A, Cortes VJ, Jonoski A (2015) Web-based stakeholder collaboration in flood risk management. J Flood Risk Manag 8:19–38CrossRefGoogle Scholar
  3. Borowski I, Hare M (2007) Exploring the gap between water managers and researchers: difficulties of model-based tools to support practical water management. Water Resour Manag 21:1049–1074CrossRefGoogle Scholar
  4. Brugnach M, Tagg A, Keil F, de Lange WJ (2007) Uncertainty matters: computer models at the science-policy interface. Water Resour Manag 21:1075–1090CrossRefGoogle Scholar
  5. Brunner P, Simmons CT (2012) HydroGeoSphere: a fully integrated, physically based hydrological model. Ground Water 50:170–176CrossRefGoogle Scholar
  6. Burton A, Fowler HJ, Blenkinsop S, Kilsby CG (2010) Downscaling transient climate change using a Neyman-Scott Rectangular Pulses stochastic rainfall model. J Hydrol 381:18–32CrossRefGoogle Scholar
  7. Castelletti A, Soncini-Sessa R (2007) Bayesian Networks and participatory modelling in water resource management. Environ Model Softw 22:1075–1088CrossRefGoogle Scholar
  8. DaRos D, Borga M (1997) Adaptive use of a conceptual model for real time flood forecasting. Nord Hydrol 28:169–188Google Scholar
  9. Dettinger MD, Coauthors (2012) Design and quantification of an extreme winter storm scenario for emergency preparedness and planning exercises in California. Nat Hazards 60:1085–1111Google Scholar
  10. Dietrich J, Coauthors (2009) Assessing uncertainties in flood forecasts for decision making: prototype of an operational flood management system integrating ensemble predictions. Nat Hazards Earth Syst Sci 9:1529–1540Google Scholar
  11. Goswami M, O’Connor KM (2007) Real-time flow forecasting in the absence of quantitative precipitation forecasts: a multi-model approach. J Hydrol 334:125–140CrossRefGoogle Scholar
  12. Henriksen HJ, Troldborg L, Nyegaard P, Sonnenborg TO, Refsgaard JC, Madsen B (2003) Methodology for construction, calibration and validation of a national hydrological model for Denmark. J Hydrol 280:52–71CrossRefGoogle Scholar
  13. Henriksen HJ, Refsgaard JC, Hojberg AL, Ferrand N, Gijsbers P, Scholten H (2009) Harmonised principles for public participation in quality assurance of integrated water resources modelling. Water Resour Manag 23:2539–2554CrossRefGoogle Scholar
  14. Henriksen HJ, Stisen S, He X, Wiese MB (2015) A hydrological early warning system based on the national model. Geological Survey of Denmark and Greenland BulletinGoogle Scholar
  15. Højberg AL, Troldborg L, Stisen S, Christensen BBS, Henriksen HJ (2013) Stakeholder driven update and improvement of a national water resources model. Environ Model Softw 40:202–213CrossRefGoogle Scholar
  16. Iglesias A, Garrote L, Flores F, Moneo M (2007) Challenges to manage the risk of water scarcity and climate change in the Mediterranean. Water Resour Manag 21:775–788CrossRefGoogle Scholar
  17. Innes JE, Booher DE (1999) Consensus building and complex adaptive systems - A framework for evaluating collaborative planning. J Am Plan Assoc 65:412–423CrossRefGoogle Scholar
  18. Janssen JAEB, Hoekstra AY, de Kok JL, Schielen RMJ (2009) Delineating the model-stakeholder gap: framing perceptions to analyse the information requirement in river management. Water Resour Manag 23:1423–1445CrossRefGoogle Scholar
  19. Jensen KH, Illangasekare TH (2011) HOBE: a hydrological observatory. Vadose Zone J 10:1–7CrossRefGoogle Scholar
  20. Kellens W, Vanneuville W, Verfaillie E, Meire E, Deckers P, De Maeyer P (2013) Flood risk management in flanders: past developments and future challenges. Water Resour Manag 27:3585–3606CrossRefGoogle Scholar
  21. Kundzewich ZW (2013) Floods: lessons about early warning systemsGoogle Scholar
  22. Madsen H (2003) Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Adv Water Resour 26:205–216CrossRefGoogle Scholar
  23. Madsen H, Skotner C (2005) Adaptive state updating in real-time river flow forecasting - a combined filtering and error forecasting procedure. J Hydrol 308:302–312CrossRefGoogle Scholar
  24. Maxwell RM, Miller NL (2005) Development of a coupled land surface and groundwater model. J Hydrometeorol 6:233–247CrossRefGoogle Scholar
  25. Milly PCD, Betancourt J, Falkenmark M, Hirsch RM, Kundzewicz ZW, Lettenmaier DP, Stouffer RJ (2008) Climate change - Stationarity is dead: whither water management? Science 319:573–574CrossRefGoogle Scholar
  26. Mysiak J, Henriksen HJ, Sullivan C, Bromley J, Pahl-Wostl C (2010) The adaptive water resource management handbook. EarthscanGoogle Scholar
  27. Olsson JA, Andersson L (2007) Possibilities and problems with the use of models as a communication tool in water resource management. Water Resour Manag 21:97–110CrossRefGoogle Scholar
  28. Orr P, Colvin J, King D (2007) Involving stakeholders in integrated river basin planning in England and Wales. Water Resour Manag 21:331–349CrossRefGoogle Scholar
  29. Parker DJ, Priest SJ (2012) The fallibility of flood warning chains: can Europe’s flood warnings be effective? Water Resour Manag 26:2927–2950CrossRefGoogle Scholar
  30. Refsgaard JC (1997) Validation and intercomparison of different updating procedures for real-time forecasting. Nord Hydrol 28:65–84Google Scholar
  31. Refsgaard JC, Hojberg AL, Moller I, Hansen M, Sondergaard V (2010) Groundwater modeling in integrated water resources management-visions for 2020. Ground Water 48:633–648CrossRefGoogle Scholar
  32. Ridder D, Moster E, Wolters HA, Cernesson F (2005) Learning together to manage together - improving participation in water management. Output from the project ‘Harmonising Collaborative Planning’ (HarmoniCOP)Google Scholar
  33. Roach J, Tidwell V (2009) A compartmental-spatial system dynamics approach to ground water modeling. Ground Water 47:686–698CrossRefGoogle Scholar
  34. Rummukainen M, Coauthors (2001) A regional climate model for northern Europe: model description and results from the downscaling of two GCM control simulations. Clim Dynam 17:339–359Google Scholar
  35. Sangati M, Borga M, Rabuffetti D, Bechini R (2009) Influence of rainfall and soil properties spatial aggregation on extreme flash flood response modelling: an evaluation based on the Sesia river basin, North Western Italy. Adv Water Resour 32:1090–1106CrossRefGoogle Scholar
  36. Stisen S, Sonnenborg TO, Hojberg AL, Troldborg L, Refsgaard JC (2011) Evaluation of climate input biases and water balance issues using a coupled surface-subsurface model. Vadose Zone J 10:37–53CrossRefGoogle Scholar
  37. Stisen S, Hojberg AL, Troldborg L, Refsgaard JC, Christensen BSB, Olsen M, Henriksen HJ (2012) On the importance of appropriate precipitation gauge catch correction for hydrological modelling at mid to high latitudes. Hydrol Earth Syst Sci 16:4157–4176CrossRefGoogle Scholar
  38. Trapp RJ, Diffenbaugh NS, Brooks HE, Baldwin ME, Robinson ED, Pal JS (2007) Changes in severe thunderstorm environment frequency during the 21st century caused by anthropogenically enhanced global radiative forcing. Proc Natl Acad Sci U S A 104:19719–19723CrossRefGoogle Scholar
  39. Trefry MG, Muffels C (2007) Feflow: a finite-element ground water flow and transport modeling tool. Ground Water 45:525–528CrossRefGoogle Scholar
  40. Valkering P, Rotmans J, Krywkow J, van der Veen A (2005) Simulating stakeholder support in a policy process: an application to river management. Simul-T Soc Mod Sim 81:701–718Google Scholar
  41. Varis O, Kuikka S (1999) Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management. Ecol Model 119:177–195CrossRefGoogle Scholar
  42. Webler T, Kastenholz H, Renn O (1995) Public participation in impact assessment: a social learning perspective. Environ Impact Assess Rev 15:443–463CrossRefGoogle Scholar
  43. White I, Kingston R, Barker A (2010) Participatory geographic information systems and public engagement within flood risk management. J Flood Risk Manag 3:337–346CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Xin He
    • 1
  • Simon Stisen
    • 1
  • Marianne B. Wiese
    • 2
  • Hans Jørgen Henriksen
    • 1
  1. 1.Department of HydrologyGeological Survey of Denmark and Greenland (GEUS)CopenhagenDenmark
  2. 2.Geological Data CenterGeological Survey of Denmark and GreenlandCopenhagenDenmark

Personalised recommendations