Simple Method for Using Precomputed Hydrologic Models in Flood Forecasting with Uniform Rainfall and Soil Moisture Pattern
Publication: Journal of Hydrologic Engineering
Volume 20, Issue 12
Abstract
Transforming a weather forecast into a flood hydrograph for a watershed requires a series of steps: (1) gathering and pre-processing data about the current conditions of the watershed, such as soil moisture, snow cover, etc.; (2) creating or modifying a hydrologic model; (3) running the model; and (4) assessing the results. Adequately performing all these steps in a short period of time as a major storm is approaching is in many cases extremely difficult. In this paper the authors present a method that enables performing the steps 2, 3, and 4, in advance of a flooding crisis by determining a large set of potential “scenarios” (combination of parameters), running a model for each, and storing the results. The researchers analyze a way to create the scenarios so to maximize the uniformity of their distribution on the parameters space. They present a simple technique to retrieve the stored result that best matches the current conditions. The authors illustrate this method in a test case, for which seven model parameters were selected and more than 2,000 scenarios were generated and pre-computed.
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References
Beven, K. J. (2011). Rainfall-runoff modelling: The primer, Wiley, Oxford, U.K.
Chailan, R., et al. (2012). “High performance pre-computing: Prototype application to a coastal flooding decision tool.” Proc., Fourth Int. Conf. on Knowledge and Systems Engineering, IEEE.
de Gooijer, C., and Reuter, C. (2009). “FLIWAS, The right information on the right time for the right person to take the right decision.” Road Map towards a Flood Resilient Urban Environment, Proc., Final Conf. of the COST Action C22 Urban Flood Management in Cooperation with UNESCO-IHP, E. Pasche, N. Evelpidou, C. Zevenbergen, R. Ashley, and S. Garvin, eds., CRC Press, Leiden, Netherlands.
Downer, C. W., and Ogden, F. L. (2004). “GSSHA: Model to simulate diverse stream flow producing processes.” J. Hydrol. Eng., 161–174.
Kennedy, A. B., et al. (2012). “Tropical cyclone inundation potential on the Hawaiian Islands of Oahu and Kauai.” Ocean Model., 52–53, 54–68.
McKay, M. D., Beckman, R. J., and Conover, W. J. (1979). “A comparison of three methods for selecting values of input variables in the analysis of output from a computer code.” Technometrics, 42(1), 55–61.
Nash, J., and Sutcliffe, J. (1970). “River flow forecasting through conceptual models. Part I—A discussion of principles.” J. Hydrol., 10(3), 282–290.
Ochoa-Rodríguez, S., Thraves, L., and Johnston, A. (2013). “Surface water flood warnings in England: An overview, assessment and recommendations based on survey responses and workshops.” Int. Conf. on Flood Resilience: Experiences in Asia and Europe, Centre for Water Systems, Univ. of Exeter, Exeter, U.K.
Raymond, M., Peyron, N., and Martin, A. (2006). “ESPADA, A unique flood management tool: First feedback from the September 2005 flood in Nîmes.” Proc., 7th Int. Conf. on Hydroinformatics 2006, Vol. 1–4, Research Publisher, Santa Clara, CA.
Taflanidis, A. A., et al. (2012). “Rapid assessment of wave and surge risk during landfalling hurricanes: Probabilistic approach.” J. Waterway Port Coastal Ocean Eng., 171–182.
Titov, V., et al. (2005). “Real-time tsunami forecasting: Challenges and solutions.” Developing tsunami-resilient communities, E. N. Bernard, ed., Springer, Netherlands, 41–58.
Wächter, J., et al. (2012). “Development of tsunami early warning systems and future challenges.” Natural Hazards Earth Syst. Sci., 12(6), 1923–1935.
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© 2015 American Society of Civil Engineers.
History
Received: Sep 25, 2014
Accepted: Mar 19, 2015
Published online: May 18, 2015
Discussion open until: Oct 18, 2015
Published in print: Dec 1, 2015
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