Articles | Volume 23, issue 5
Research article
07 May 2019
Research article |  | 07 May 2019

Process-based flood frequency analysis in an agricultural watershed exhibiting nonstationary flood seasonality

Guo Yu, Daniel B. Wright, Zhihua Zhu, Cassia Smith, and Kathleen D. Holman

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Cited articles

Alexander, G. N.: Using the probability of storm transposition for estimating the frequency of rare floods, J. Hydrol., 1, 46–57, 1963. 
Ayalew, T., Krajewski, W., and Mantilla, R.: Exploring the Effect of Reservoir Storage on Peak Discharge Frequency, J. Hydrol. Eng., 18, 1697–1708,, 2013. 
Ayalew, T. B. and Krajewski, W. F.: Effect of River Network Geometry on Flood Frequency: A Tale of Two Watersheds in Iowa, J. Hydrol. Eng., 22, 06017004,, 2017. 
Ball, J., Babister, M., Nathan, R., Weeks, W., Weinmann, E., and Retallick, M.: Australian Rainfall and Runoff: A Guide to Flood Estimation, edited by: Testoni, I., Commonwealth of Australia (Geoscience Australia), 2016. 
Bartles, M., Brunner, G., Fleming, M., Faber, B., and Slaughter, J.: HEC-SSP Statistical Software Package Version 2.1, Computer Program Documentation, US Army Corps of Engineers, Institute for Water Resources Hydrologic Engineering Center (HEC), 609 Second Street Davis, CA 95616-4687, 2016. 
Short summary
The relationship between flood severity and probability is a key component of flood risk management, and depends on factors including rainfall, soil wetness, and watershed properties. In this study, we combine radar rainfall data and flood simulations to better understand how these factors shape flood frequency. We apply our method to an agricultural watershed in the Midwestern US where the flood properties are changing. Conventional methods will fail to account for these changes.