Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Vflo ®—Software for Distributed Hydrology

  • Chapter
  • First Online:
Distributed Hydrologic Modeling Using GIS

Part of the book series: Water Science and Technology Library ((WSTL,volume 74))

Abstract

Vflo ® is a distributed model for hydrologic prediction and analysis that is based on: recently developed distributed modeling techniques; multisensor precipitation estimation; and secure client/server architecture. It utilizes GIS and remotely sensed data. Developed from the outset to utilize multisensor inputs, this model is suited for distributed hydrologic prediction in post-analysis and online for continuous forecasting. The hallmark of Vflo ® is its prediction of flow rates and stage in every grid cell defined by the hydraulics of overland and channel flow. An integrated network-based hydraulic approach to watershed modeling has advantages that make it possible to represent both local and main-stem flows with the same model setup and simultaneously. This integrated approach is useful for urban and natural watershed applications, reservoir inflow forecasting, flood prediction, and hydrologic analysis of land use and climate change.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bedient, P.B., A. Holder, J.A. Benavides, and B.E. Vieux. 2003. Radar-based flood warning system applied to tropical storm allison. Journal of Hydrologic Engineering 8(6): 308–318.

    Article  Google Scholar 

  • Bedient, P.B., W.C. Huber, B.E. Vieux. 2013. Hydrology and floodplain analysis, Fifth Edn., 801. Prentice-Hall, Inc., One Lake St., Upper Saddle River, NJ 07458. ISBN 0-13-256796-2.

    Google Scholar 

  • Carter, P. and B.E. Vieux. 2012. Analysis of Storm movement and temporal distribution of rainfall and its influence on rainfall-runoff response of urban basins. 9th International Workshop on Precipitation in Urban Areas. St. Moritz Switzerland, 6–9 Dec 2012.

    Google Scholar 

  • Doubleday, G., A. Sebastian, T. Luttenschlager, and P.B. Bedient. 2013. Modeling hydrologic benefits of low impact development: A distributed hydrologic model of the Woodlands, Texas. JAWRA Journal of the American Water Resources Association 49(6): 1444–1455.

    Article  Google Scholar 

  • Fang, Z., E. Safiolea, and P.B. Bedient. 2006. Enhanced flood alert and control systems for houston. In Coastal Hydrology and Processes: Proceedings of the AIH 25th Anniversary Meeting & International Conference Challenges in Coastal Hydrology and Water Quality, 199. Water Resources Publication.

    Google Scholar 

  • Fang, Z., A. Zimmer, P.B. Bedient, H. Robinson, J. Christian, and B.E. Vieux. 2009. Using a distributed hydrologic model to evaluate the location of urban development and flood control storage. Journal of Water Resources Planning and Management 136(5): 597–601.

    Article  Google Scholar 

  • Hunter, S., B.E. Vieux, F. Ogden, J. Niedzialek, C. Downer, J. Addiego, and J. Daraio. (2003). A test of two distributed hydrologic models with WSR-88D radar precipitation data input in Arizona. 17th Conference on Hydrology, American Meteorology Society, JP3.3, Abstract and paper.

    Google Scholar 

  • Kim, W.I., K.D. Oh, W.S. Ahn, and B.H. Jun. 2008. Study on flood prediction system based on radar rainfall data. Journal of Korea Water Resources Association 41(11): 1153–1162.

    Article  Google Scholar 

  • Looper, J.P., B.E. Vieux, and M.A. Moreno. 2012. Assessing the impacts of precipitation bias on distributed hydrologic model calibration and prediction accuracy. Journal of Hydrology 418–419: 110–122.

    Article  Google Scholar 

  • Looper, J.P., and B.E. Vieux. 2012. An assessment of distributed flash flood forecasting accuracy using radar and rain gauge input for a physics-based distributed hydrologic model. Journal of Hydrology 412: 114–132.

    Article  Google Scholar 

  • Moreno, M.A., and B.E. Vieux. 2013. Estimation of spatio-temporally variable groundwater recharge using a rainfall-runoff model. Journal of Hydrologic Engineering 18(2): 237–249.

    Article  Google Scholar 

  • Noh, H.S., B.S. Kim, N.R. Kang, and H.S. Kim. 2012. Flood runoff simulation using grid-based radar rainfall and Vflo ® Model. Paper HS276, in proceedings of the ERAD 2012, The Seventh European Conference on Radar in Meteorology and Hydrology.

    Google Scholar 

  • Oh, K.D., S.C. Lee, W.S. Ahn, Y.H. Ryu, and J.H. Lee. 2010. A study on design flood analysis using moving storms. Journal of Korea Water Resources Association 43(2): 167–185.

    Article  Google Scholar 

  • Robinson, H., Z. Fang, and P. Bedient. 2009. distributed hydrologic model for flood prevention in the Yuna river watershed, dominican republic. In Proceedings of World Environmental and Water Resources Congress 2009: Great Rivers.

    Google Scholar 

  • Rojas-González, A., E.W. Harmsen, and S. Cruz-Pol. 2008. Assessment predictability limits in small watersheds to enhance the flash flood prediction in western puerto rico. ASPRS 2008 Annual Conference Portland, Oregon, April 28–May 2.

    Google Scholar 

  • Rojas-González, A.M.R., E.W. Harmsen, S.C. Pol, and Y.D.J. Arce. 2010. August. Evaluation of upscaling parameters and their influence on hydrologic predictability in upland tropical areas. In Proceedings of the AWRA Summer Specialty Conference, Tropical Hydrology and Sustainable Water Resources in a Changing Climate. San Juan, Puerto Rico.

    Google Scholar 

  • Safiolea, E., P. Bedient, and B. Vieux. (2005) Assessment of the relative hydrologic effects of land use change and subsidence using distributed modeling. Managing watersheds for human and natural impacts, 1–7. ASCE. doi:10.1061/40763(178)87.

  • Teague, A., J. Christian, and P. Bedient. 2013. Radar rainfall application in distributed hydrologic modeling for cypress creek watershed, Texas. Journal of Hydrologic Engineering 18(2): 219–227.

    Article  Google Scholar 

  • Torres Molina, L.S., E.W. Harmsen, and S. Cruz-Pol. 2013, July. Flood alert system using rainfall forecast data in Western Puerto Rico. In Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, 574–577. IEEE.

    Google Scholar 

  • Urban Storm water design criteria manual (USWDCM). 2016. Urban Drainage and Flood Control District, Denver, Chapter 5—Rainfall. Vol 1.

    Google Scholar 

  • Vieux, B.E.. 1988. Finite element analysis of hydrologic response areas using geographic information systems, 211 pp. Michigan State University.

    Google Scholar 

  • Vieux, B.E. 1991. Geographic information systems and non-point source water quality modelling. Chichester, Sussex, England: John Wiley & Sons, Ltd. (Journal of Hydrological Processes 5: 110–123).

    Google Scholar 

  • Vieux, B.E., V.F. Bralts, L.J. Segerlind, and R.B. Wallace. 1990. Finite element watershed modeling: one-dimensional elements. ASCE, Journal of Water Resources Management Planning 116(6): 803–819.

    Article  Google Scholar 

  • Vieux, B.E., and N. Gauer. 1994. Finite element modeling of storm water runoff using GRASS GIS. Microcomputers in Civil Engineering 9(4): 263–270.

    Article  Google Scholar 

  • Vieux, B.E. and J.E. Vieux. 2002. Vflo ®: A Real-time distributed hydrologic model. In Proceedings of the 2nd Federal Interagency Hydrologic Modeling Conference, July 28–August 1, 2002, Las Vegas, Nevada. Extended Abstract and CD-ROM.

    Google Scholar 

  • Vieux, B.E., C. Chen, J.E. Vieux, and K.W. Howard. 2003. Operational deployment of a physics-based distributed rainfall-runoff model for flood forecasting in Taiwan. In Proceedings, International Symposium on Weather Radar Information and Distributed Hydrological Modelling, IAHS General Assembly at Sapporo. Ed. Tachikawa, B. Vieux, K.P. Georgakakos, and E. NakakitaJapan, July 3–11, 2003. IAHS Red Book Publication 282: 251–257.

    Google Scholar 

  • Vieux, B.E., P.B. Bedient, and E. Mazroi. 2005. August. Real-time urban runoff simulation using radar rainfall and physics-based distributed modeling for site-specific forecasts. In 10th International Conference on Urban Drainage, 21–26. Copenhagen/Denmark.

    Google Scholar 

  • Vieux, B.E., J.M. Imgarten, J.P. Looper, and P.B. Bedient. 2008. Radar-based flood forecasting: Quantifying hydrologic prediction uncertainty in urban-scale catchments for CASA radar deployment. Proceedings of World environmental and water resources congress, Akupua’a, 1–10. Honolulu, Hawaii: ASCE.

    Google Scholar 

  • Vieux, B., J. Park, and B. Kang. 2009. Distributed hydrologic prediction: sensitivity to accuracy of initial soil moisture conditions and radar rainfall input. Journal of Hydrologic Engineering. doi:10.1061/(ASCE)HE.1943-5584.0000039,671-689.

    Google Scholar 

  • Vieux, B.E. and J.E. Vieux (2010). Development of regional design storms for sewer system modeling. In Proceedings of the Water Environment Federation, WEFTEC 2010: Session 87, pp. 6248–6263(16).

    Google Scholar 

  • Vieux, B.E., A. Dodd, and B. D. Wilson. 2015. Paper 11A.2 Radar analysis for design storm application. 37th Conference on Radar Meteorology, Sept 14–18, Norman, Oklahoma. Available on the Internet: https://ams.confex.com/ams/37RADAR/webprogram/Paper275331.html. Last Accessed, January 25, 2016.

  • Vieux, B.E., A. Dodd, and B. D. Wilson. 2016. Design storm temporal and spatial rainfall distributions from radar and rain gauge data analysis in nevada. Proceedings of ASCE/EWRI, West Palm Beach FL, May 22–26.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Professor Emeritus, School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA

    Baxter E. Vieux

  2. Principal, Vieux & Associates, Inc., Norman, OK, USA

    Baxter E. Vieux

Authors
  1. Baxter E. Vieux
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Baxter E. Vieux .

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Vieux, B.E. (2016). Vflo ®—Software for Distributed Hydrology. In: Distributed Hydrologic Modeling Using GIS. Water Science and Technology Library, vol 74. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-0930-7_12

Download citation

Publish with us

Policies and ethics

Search

Navigation