Articles | Volume 23, issue 5
https://doi.org/10.5194/hess-23-2225-2019
https://doi.org/10.5194/hess-23-2225-2019
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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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.