Abstract

In snow-dominated regions surface air temperature is expected to have a substantial effect on the magnitude of a flood during a storm event. It is risky to estimate the design flood based only on the maximum precipitation while excluding other atmospheric variables like temperature and radiation. To overcome this problem, a methodology to estimate the maximum flood is proposed based on a physically based hydrologic model with input from physically maximized storm events by means of a numerical atmospheric model. As a case study, the probable maximum floods are simulated for the Upper Feather River watershed, the Yuba River watershed, and the American River watershed that are located in a mountainous region in Northern California, from the most severe 60 historical precipitation events during 1951–2010 for each watershed. The results show that this methodology can explain the underlying physical causes for the occurrence of maximum precipitation. It also shows that the maximum precipitation, determined in terms of the maximum areal average precipitation depth over a selected watershed during a selected storm duration, does not necessarily produce the maximum flood over that watershed.

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References

Abbs, D. J. (1999). “A numerical modeling study to investigate the assumptions used in the calculation of probable maximum precipitation.” Water Resour. Res., 35(3), 785–796.
Beauchamp, J., Leconte, R., Trudel, M., and Brissette, F. (2013). “Estimation of the summer-fall PMP and PMF of a northern watershed under a changed climate.” Water Resour. Res., 49(6), 3852–3862.
Bureau of Reclamation. (2006). “Guidelines for evaluating hydrologic hazards.” Washington, DC.
CaSIL (California Spatial Information Library). (2010). “California’s geospatial data.” 〈http://atlas.ca.gov/casil/etc/website/CaSILhome_wnews.html〉 (Dec. 1, 2010).
Chen, Z. Q., et al. (2004a). “Geomorphologic and soil hydraulic parameters for watershed environmental hydrology (WEHY) model.” J. Hydrol. Eng., 465–479.
Chen, Z. Q., Kavvas, M. L., Fukami, K., Yoshitani, J., and Matsuura, T. (2004b). “Watershed environmental hydrology (WEHY) model: Model application.” J. Hydrol. Eng., 480–490.
Chernet, H. H., Alfredsen, K., and Midttømme, G. H. (2014). “Safety of hydropower dams in a changing climate.” J. Hydrol. Eng., 569–582.
Corrigan, P., Fenn, D. D., Kluck, D. R., and Vogel, J. L. (1999). “Probable maximum precipitation for California.”, National Weather Service, Silver Spring, MD.
Gale, M. R., and Grigal, D. F. (1987). “Vertical root distributions of northern tree species in relation to successional status.” Can. J. Forest Res., 17(8), 829–834.
Garvelmann, J., Pohl, S., and Weiler, M. (2014), “Variability of observed energy fluxes during rain-on-snow and clear sky snowmelt in a mid-latitude mountain environment.” J. Hydrometeorol., 15(3), 1220–1237.
Hansen, E. M. (1987). “Probable maximum precipitation for design floods in the United States.” J. Hydrol., 96(1–4), 267–278.
Ishida, K., Kavvas, M., Jang, S., Chen, Z., Ohara, N., and Anderson, M. (2015a). “Physically based estimation of maximum precipitation over three watersheds in Northern California: Atmospheric boundary condition shifting.” J. Hydrol. Eng., 04014052.
Ishida, K., Kavvas, M., Jang, S., Chen, Z., Ohara, N., and Anderson, M. (2015b). “Physically based estimation of maximum precipitation over three watersheds in Northern California: Relative humidity maximization method.” J. Hydrol. Eng., 04015014.
Jennings, K., and Jones, J. A. (2015). “Precipitation-snowmelt timing and snowmelt augmentation of large peak flow events, western Cascades, Oregon.” Water Resour. Res., 51(9), 7649–7661.
Jones, J. A., and Perkins, R. M. (2010). “Extreme flood sensitivity to snow and forest harvest, western Cascades, Oregon, United States.” Water Resour. Res., 46(12), W12512.
Jothityangkoon, C., Hirunteeyakul, C., Boonrawd, K., and Sivapalan, M. (2013). “Assessing the impact of climate and land use changes on extreme floods in a large tropical catchment.” J. Hydrol., 490, 88–105.
Kavvas, M. L., et al. (2004). “Watershed environmental hydrology (WEHY) model, based on upscaled conservation equations: Hydrologic module.” J. Hydrol. Eng., 450–464.
Kondo, J., and Yamazaki, T. (1990). “A prediction model for snowmelt, snow surface temperature and freezing depth using a heat balance method.” J. Appl. Meteorol., 29(5), 375–384.
Lagos-Zuniga, M. A., and Vargas, M. X. (2014). “PMP and PMF estimations in sparsely-gauged Andean basins and climate change projections.” Hydrol. Sci. J., 59(11), 2027–2042.
McCabe, G. J., Clark, M. P., and Hay, L. E. (2007). “Rain-on-snow events in the western United States.” Bull. Am. Meteorol. Soc., 88(3), 319–328.
O’Connor, J. E., and Costa, J. E. (2004). “Spatial distribution of the largest rainfall-runoff floods from basins between 2.6 and 26,000 km in the United States and Puerto Rico.” Water Resour. Res., 40(1), W01107.
Ohara, N., and Kavvas, M. L. (2006). “Field observations and numerical model experiments for the snowmelt process at a field site.” Adv. Water Resour., 29(2), 194–211.
Ohara, N., Kavvas, M. L., Kure, S., Chen, Z. Q., Jang, S., and Tan, E. (2011). “Physically based estimation of maximum precipitation over American river watershed, California.” J. Hydrol. Eng., 351–361.
Papalexiou, S. M., and Koutsoyiannis, D. (2006). “A probabilistic approach to the concept of probable maximum precipitation.” Adv. Geosci., 7, 51–54.
Rosenthal, W. D., Harlan, J. C., and Blanchard, B. J. (1982). “Case-study—Estimating antecedent precipitation index from heat-capacity mapping mission day thermal infrared data.” Hydrol. Sci. J., 27(4), 415–426.
Rossler, O., Froidevaux, P., Borst, U., Rickli, R., Martius, O., and Weingartner, R. (2014). “Retrospective analysis of a nonforecasted rain-on-snow flood in the Alps—A matter of model limitations or unpredictable nature?” Hydrol. Earth Syst. Sci., 18(6), 2265–2285.
Rousseau, A. N., et al. (2014). “Development of a methodology to evaluate probable maximum precipitation (PMP) under changing climate conditions: Application to southern Quebec, Canada.” J. Hydrol., 519, 3094–3109.
Singh, V. P. (1992). Elementary hydrology, Prentice Hall, Englewood Cliffs, NJ.
Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. (2010). “Web soil survey.” 〈http://websoilsurvey.nrcs.usda.gov/〉 (Nov. 20, 2010).
USACE (U.S. Army Corps of Engineers). (1979). “Engineering and design, national program for inspection of non-federal dams.”, U.S. Dept. of the Army, Washington, DC.
Viessman, W., Knapp, J. W., Lewis, G. L., and Harbaugh, T. E. (1977). Introduction to hydrology, 2nd Ed., Harpers & Row, New York.
WMO (World Meteorological Organization). (1986). “Manual for estimation of probable maximum precipitation.”, Geneva.
Yang, W., et al. (2006). “MODIS leaf area index products: From validation to algorithm improvement.” IEEE Trans. Geosci. Remote Sens., 44(7), 1885–1898.
Ye, H., Yang, D., and Robinson, D. (2008). “Winter rain on snow and its association with air temperature in northern Eurasia.” Hydrol. Process., 22(15), 2728–2736.
Zhu, Y., and Newell, R. E. (1998). “A proposed algorithm for moisture fluxes from atmospheric rivers.” Monthly Weather Rev., 126(3), 725–735.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 21Issue 10October 2016

History

Received: Aug 25, 2015
Accepted: Dec 15, 2015
Published online: May 19, 2016
Published in print: Oct 1, 2016
Discussion open until: Oct 19, 2016

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Jiongfeng Chen [email protected]
Postdoctoral Fellow, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616 (corresponding author). E-mail: [email protected]
M. Levent Kavvas, F.ASCE [email protected]
Professor, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. E-mail: [email protected]
Assistant Project Scientist, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. E-mail: [email protected]
Postdoctoral Fellow, Hydrologic Research Laboratory, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616. E-mail: [email protected]
Noriaki Ohara, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Architectural Engineering, Univ. of Wyoming, 1000 E. University Ave., Laramie, WY 82071. E-mail: [email protected]
Michael L. Anderson [email protected]
State Climatologist, Hydrology and Flood Operations Office, California Dept. of Water Resources, 3310 El Camino Ave., Sacramento, CA 95821. E-mail: [email protected]
Z. Q. Richard Chen, M.ASCE [email protected]
Senior Engineer, Bay Delta Office, California Dept. of Water Resources, 1416 Ninth St., Sacramento, CA 95814. E-mail: [email protected]

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