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Water Resources Management

, Volume 30, Issue 4, pp 1375–1393 | Cite as

Development and Application of a Nowcast and Forecast System Tool for Planning and Managing a River Chain of Lakes

  • John R. Reimer
  • Chin H. WuEmail author
Article

Abstract

A nowcast and forecast system for providing real-time water information of a River Chain of Lakes (RCL) is developed. The system infrastructure comprises a web portal to retrieve and display observations that are used to drive models under a high performance computing server. Water level and flow discharge information are obtained from a suite of models that be directly simulate the RCL system. A new data assimilation technique based upon flow routing algorithm and nested-mesh domain reduction is developed to update the Manning’s roughness. It is demonstrated that the INFOS can reliably and effectively model real-time reverse flows due to sustained wind forcings or tranisent seiches, and flow choking due to channel constriction. Applications of the developed system are illustrated. Specifically water level planning scenarios provide a quantitative measure for lake management to reduce floods under extreme rainfall events. Alternative management philosophies to minimize exceeding the water level orders are evaluated. Overall, the Integrated Nowcast and Forecast Operation System (INFOS) provides reliable and timely water information for the RCL for sharing information to the community, planning for water use and delivery, and management of the Yahara RCL.

Keywords

River chain of lakes Nowcast and forecast system Flow reversal Flow choking Planning Management 

Notes

Acknowledgments

This research was funded in part by the National Science Foundation DEB-0941510, Dane County Land and Water Resources Department (DCLWRD) MSN126143, and the City of Madison, Wisconsin 97235340–1. Specifically the authors thank Mr. Kevin Connor, Director of DCLWRD, and Mr. Greg Fries, Principal Engineer, at the City of Madison for their continuous support of the INFOS development and applications. Mr. Jeremy Balousek and Mr. Josh Harder at DCLWRD for their comments and suggestions to address complex hydraulics on the Yahara RCL are highly acknowledged. The authors also thank Dr. Paul Hanson at the Center of Limnology, University of Wisconsin-Madison for the collaboration of the deployment of the real-time Lake Mendota buoy (http://www.infosyahara.org/dbbadger). In addition, Ms. Sue Josheff at Wisconsin Department of Natural Resources for her assistance to provide permit for installing water level gauges is highly acknowledged. Finally, both authors thank Dr. Yin-Tien (Kevin) Lin and Mr. William Kasch to assist data collection of lake bathymetry and water level.

References

  1. Afshar A, Shafii M, Haddad OB (2011) Optimizing multi-reservoir operation rules: an improved HBMO approach. J Hydroinf 13(1):121–139CrossRefGoogle Scholar
  2. Aikman F, Mellor GL, Ezer T, Sheinin D, Chen P, Breaker L, Bosley K, Rao DB (1996) Towards an operational nowcast/forecast system for the U.S. East Coast. modern approaches to data assimilation in ocean modeling. Elsevier Oceano Ser 61:347–376CrossRefGoogle Scholar
  3. Akan OA (2006) Open channel hydraulics. Elsevier, OxfordGoogle Scholar
  4. Anand A, Galelli S, Samavedham L, Sundaramoorthy S (2013) Coordinating multiple model predictive controllers for the management of large-scale water systems. J Hydroinf 15(2):293–305CrossRefGoogle Scholar
  5. Anderson EJ, Schwab DJ, Lang GA (2010) Real-time hydraulic and hydrodynamic model of the St. Clair River, Lake St. Clair, Detroit River system. J Hydraul Eng ASCE 136(8):507–518CrossRefGoogle Scholar
  6. Ayres Associates. 2010 GPS survey for LIDAR control. Report, Madison, WIGoogle Scholar
  7. Baptista AM, Wilkin M, Pearson P, Turner P, McCandlish C, Barrett P, Das S, Sommerfield W, Qi M, Nangia N, Jay D, Long D, Pu C, Hunt J, Yang Z, Myers E, Darland J, Farrenkopf A (1998) Towards a multi-purpose forecast system for the Columbia River Estuary. Ocean Community Conference 199, BaltimoreGoogle Scholar
  8. Bhuyan MK, Kumar S, Jena J, Bhunya PK (2015) Flood hydrograph with synthetic unit hydrograph routing. Water Resour Manag 29:5765–5782CrossRefGoogle Scholar
  9. Carpenter SR, Benson BJ, Biggs R, Chipman JW, Foley JA, Golding SA, Hammer RB, Hanson PC, Johnson PTJ, Kamarainen AM, Kratz TK, Lathrop RC, McMahon KD, Provencher B, Rusak JA, Solomon CT, Stanley EH, Turner MG, Vander Zanden MJ, Wu CH, Yuan H (2007) Understanding regional change: comparison of two lake districts. BioScience 57(4):323–335Google Scholar
  10. Castellarin A, Domeneghetti A, Brath A (2011) Identifying robust large-scale flood risk mitigation strategies: a quasi-2d hydraulic model as a tool for the Po river. Phys Chem Earth 36(7–8):299–308CrossRefGoogle Scholar
  11. Chen C, Liu H, Beardsley RC (2003) An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: application to coastal ocean and estuaries. J Atmos Ocean Technol 20(1):159–186CrossRefGoogle Scholar
  12. Chen CS, Qi JH, Li CY, Beardsley RC, Lin HC, Walker R, Gates K (2008) Complexity of the flooding/drying process in an estuarine tidal-creek salt-marsh system: an application of FVCOM. J Geophys Res 113:C07052Google Scholar
  13. Chow VT (1959) Open channel hydraulics. McGraw-Hill, New YorkGoogle Scholar
  14. County of Dane (2010) Dane County lake level management guide for the Yahara chain of lakes. Dane County and Water Resources, MadisonGoogle Scholar
  15. County of Dane Emergency Management (2014) Dane County natural hazard mitigation plan. https://www.countyofdane.com/emergency/mitigation_plan.aspx
  16. Darwin GH (1898) The tides and kindred phenomena in the solar system. Houghton, BostonGoogle Scholar
  17. Day GN (1985) Extended streamflow forecasting using NWSRFS. J Water Res Plan Manag ASCE 111(2):157–170CrossRefGoogle Scholar
  18. Fallah-Mehdipour E, Bozorg Haddad O, Marino MA (2013) Developing reservoir operation decision rule by genetic programming. J Hydroinf 15(1): 103–119CrossRefGoogle Scholar
  19. Fernandez-Nieto ED, Marin J, Monnier J (2010) Coupling superposed 1D and 2D shallow-water models: source terms in finite volume schemes. Comput Fluids 39:1070–1082CrossRefGoogle Scholar
  20. Fread DL (1975) Computation of stage-discharge relationship affected by unsteady flow. Water Resour Bull 11(2):429–442Google Scholar
  21. Fread DL (1978) Numerical hydrodynamic modeling of rivers for flood forecasting by the National Weather Service. NOAA Technical Report, Silver Spring, 14 ppGoogle Scholar
  22. Gardner JT, English MC, Prowse TD (2006) Wind-forced seiche events on Great Slave Lake: hydrologic implications for the Slave River Delta, NWT, Canada. Hydrol Process 20(19):4051–4072CrossRefGoogle Scholar
  23. Gergel SE, Dixon MD, Turner MG (2002) Consequences of human-altered floods: levees, floods, and floodplain forests along the Wisconsin River. Ecol Appl 12(6):1755–1770CrossRefGoogle Scholar
  24. Green JC (2005) Modeling flow resistance in vegetated streams: review and development of new theory. Hydrol Process 19(6):1245–1259CrossRefGoogle Scholar
  25. Henderson FM (1966) Open channel flow. Macmillan, New YorkGoogle Scholar
  26. Herschy RW (2009) Streamflow measurement. Taylor & Francis, New YorkGoogle Scholar
  27. Hsu MH, Fu JC, Liu WC (2006) Dynamic routing model with real-time roughness updating for flood forecasting. J Hydraul Eng ASCE 132(6):605–619CrossRefGoogle Scholar
  28. Hunt J, Brunner GW, Larock BE (1999) Flow transitions in bridge backwater analysis. J Hydraul Eng ASCE 125(9):981–983CrossRefGoogle Scholar
  29. Kaatz KJ, James WP (1997) Analysis of alternatives for computing backwater at bridges. J Hydraul Eng ASCE 123(9):784–792CrossRefGoogle Scholar
  30. Kamarainen A, Yuan HL, Wu CH, Carpenter SR (2009) Estimates of phosphorus entrainment in Lake Mendota: a comparison of one-dimensional and three-dimensional approaches. Limnol Oceanogr Methods 7:553–567Google Scholar
  31. Kouwen N, Fathi-Moghadam M (2000) Friction factors for coniferous trees along rivers. J Hydraul Eng 126(10):732–740Google Scholar
  32. Krug WR (1999) Simulation of the effects of operating Lakes Mendota, Monona, and Waubesa, south-central Wisconsin, as multipurpose reservoirs to maintain dry-weather flow. U.S. Geological Survey Open-File Report, 99–67Google Scholar
  33. Lai XJ, Jiang JH, Liang QH, Huang Q (2013) Large-Scale hydrodynamic modeling of the middle Yangtze River Basin with complex river-lake interactions. J Hydrol 492:228–243CrossRefGoogle Scholar
  34. Lanerolle L, Patchen RC, Aikman F (2011) The second generation Chesapeake Bay Operational Forecast System (CBOFS2): model development and skill assessment. NOAA Technical Report NOS CS 29, Silver SpringGoogle Scholar
  35. Merian JR (1828) Ueber die Bewegung tropfbarer Flüssigkeiten in Gefässen [On the motion of drippable liquids in containers, thesis in German. Schweighauser, BaselGoogle Scholar
  36. Mockus V (1972) Soil conservation service national engineering handbook. U.S. Department of Agriculture, Washington, DCGoogle Scholar
  37. Montaldo N, Mancini M, Rosso R (2004) Flood hydrograph attenuation induced by a reservoir system: analysis with a distributed rainfall-runoff model. Hydrol Process 18(3):545–563CrossRefGoogle Scholar
  38. Morales-Hernandez M, Garcia-Navarro P, Burguete J, Brufau P (2013) A conservative strategy to couple 1D and 2D models for shallow water flow simulation. Comput Fluids 81:26–44CrossRefGoogle Scholar
  39. Morrissette D. (1979) In the matter of reestablishment of water levels for Lakes Monona and Waubesa, Dane County. Docket No. 3-SD-77-819Google Scholar
  40. Moskalski SM, Sommerfield CK, Wong K-C (2011) Oceanic and hydrologic influences on flow and water properties in the St. Jones River estuary, Delaware. Estuaries and Coasts 34(4):800–813Google Scholar
  41. Onusluel Gul G, Harmancioglu N, Gul A (2010) A combined hydrologic and hydraulic modeling approach for testing efficiency of structural flood control measures. Nat Hazards 54(2):245–260CrossRefGoogle Scholar
  42. Pahl-Wostl C (2007) Transitions towards adaptive management of water facing climate and global change. Water Resour Manag 21:49–62CrossRefGoogle Scholar
  43. Peters DL, Buttle JM (2010) The effects of flow regulation and climatic variability on obstructed drainage and reverse flow contribution in a northern River-Lake-Delta Complex, Mackenzie Basin Headwaters. River Res Appl 26(9):1065–1089CrossRefGoogle Scholar
  44. Proudman J (1953) Dynamical oceanography. Methuen, London, p 117, 225 ppGoogle Scholar
  45. Quinn FH, Wylie EB (1972) Transient analysis of the Detroit River by the implicit method. Water Resour Res 8(6):1461–1469Google Scholar
  46. Roe J, Dietz C, Restrep P et al. (2010) NOAA’s community hydrologic prediction system. 2nd Joint Federal Interagency Conference. Las Vegas, NVGoogle Scholar
  47. Schmalz RA (2011) Three-dimensional hydrodynamic model developments for a Delaware River and Bay nowcast/forecast system. NOAA Technical Report NOS CS 28, Silver Spring, 199 ppGoogle Scholar
  48. Schwab DJ, Bedford KW (1995) Operational three-dimensional circulation modeling in the Great Lakes. Computer Modeling of Seas and Coastal Regions II. 2nd International Conference on Computer Modelling of Seas and Coastal Regions Location: Cancun 387–395Google Scholar
  49. Sherman LK (1932) Streamflow from rainfall by the unit hydrograph method. Eng News Record 108:501–505Google Scholar
  50. Steinebach G, Rademacher S, Rentrop P, Schulz M (2004) Mechanisms of coupling in river flow simulation systems. J Comput Appl Math 168:459–470CrossRefGoogle Scholar
  51. Sturm TW (2001) Open channel hydraulics. McGraw-Hill, New YorkGoogle Scholar
  52. Teng J, Vaze J, Dutta D, Marvanek S (2015) Rapid inundation modeling in large floodplains using LiDAR DEM. Water Resour Manag 29:2619–2636CrossRefGoogle Scholar
  53. Tsihrintzis VA, Madiedo EE (2000) Hydraulic resistance determination in marsh wetlands. Water Resour Manag 14:285–309CrossRefGoogle Scholar
  54. Tsihrintzis VA, John DL, Tremblay PJ (1998) Hydrodynamic modeling of wetlands for flood detention. Water Resour Manag 12(4):251–269CrossRefGoogle Scholar
  55. Twigt DJ, De Goede ED, Zijl F, Schwanenberg D, Chiu AYW (2009) Coupled 1D-3D hydrodynamic modelling, with application to the Pearl River Delta. Ocean Dyn 59(6):1077–1093CrossRefGoogle Scholar
  56. Webster IT, Maier H, Baker P, Burch M (1997) Influence of wind on water levels and lagoon-river exchange in the River Murray, Australia. Mar Freshw Res 48(6):541–550CrossRefGoogle Scholar
  57. Wei E, Zhang A (2011) The Tampa Bay Operational Forecast System (TBOFS): model development and skill assessment. NOAA Technical Report NOS CS 30, Silver Spring, 119 ppGoogle Scholar
  58. Weisberg RH, Zhen LY (2006) Circulation of Tampa Bay driven by buoyancy, tides, and winds, as simulated using a finite volume coastal ocean model. J Geophys Res 111(C1):C01005Google Scholar
  59. Yen B, Lee KT (1997) Unit hydrograph derivation for ungauged watersheds by stream-order laws. J Hydrol Eng 22(1):925–933Google Scholar
  60. YLAG2 (2012) Yahara Lakes Water Level Advisory Group. https://www.countyofdane.com/lwrd/landconservation/ylag.aspx

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Department of Civil and Environmental EngineeringUniversity of WisconsinMadisonUSA

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