Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US
Publication: Journal of Hydrologic Engineering
Volume 29, Issue 6
Abstract
The curve number (CN) equation is a semiempirical, event-based model commonly used to estimate rainfall runoff. This model was originally developed in the 1950s to estimate storm runoff from 24-h rainfall events from small catchments. The model consists of two parameters: (1) the curve number (), which represents soil type, land use, and land cover; and (2) the initial abstraction (), i.e., the amount of rain that needs to accumulate before storm runoff begins. Despite its narrow-intended use, the CN model is widely used for many applications from engineering design to hydrologic modeling and uses parameter tables and guidelines developed in the mid-20th century. Changes in land management and hydrological science pose questions about the continued relevancy of the model in general and the tabulated parameters specifically. We used Catchment Attributes and Meteorology for Large-Sample Studies (CAMELS), a recently collated data set of watershed characteristics and performed regression analyses on the watershed attributes to determine whether the and parameters can better fit a wider range of attributes than can the currently used tables. Our analyses focused on 5–35 year peak runoff events. We considered 333 small to medium watersheds distributed across the contiguous US and more than 40 watershed characteristics. We found that the CN model generally worked best if was much smaller than traditionally assumed. Indeed, generally worked well. We also found that -values generally correlated well with climate (elevation, average precipitation) and soil permeability (sand fraction, saturated hydraulic conductivity). Our results suggest that the CN model can work relatively well for engineering purposes in ungauged watersheds and that the expanding stream of remotely sensed geographic data may allow for better -values than those from the current tables. We suggest that this study be expanded to include a wider range of watershed and storm characteristics.
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Data Availability Statement
All data used in this paper are open access, and the code we developed for this analysis is available upon request.
Acknowledgments
This work was funded by USDA National Institute of Food and Agriculture (NIFA) grant number 2019-60719-30122. We acknowledge the ASCE Curve Number Hydrology task committee for their support and feedback on this work.
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Journal of Hydrologic Engineering
Volume 29 • Issue 6 • December 2024
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© 2024 American Society of Civil Engineers.
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Received: Oct 2, 2023
Accepted: Jun 13, 2024
Published online: Sep 25, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 25, 2025
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