Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the USSource: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 006::page 04024043-1Author:Tahneen Jahan Neelam
,
Scott Steinschneider
,
Donald E. Woodward
,
Richard Hawkins
,
M. Todd Walter
DOI: 10.1061/JHYEFF.HEENG-6180Publisher: American Society of Civil Engineers
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 (CN), which represents soil type, land use, and land cover; and (2) the initial abstraction (Ia), 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 CN and Ia 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 Ia was much smaller than traditionally assumed. Indeed, Ia=0 generally worked well. We also found that CN-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 CN-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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contributor author | Tahneen Jahan Neelam | |
contributor author | Scott Steinschneider | |
contributor author | Donald E. Woodward | |
contributor author | Richard Hawkins | |
contributor author | M. Todd Walter | |
date accessioned | 2025-04-20T10:27:38Z | |
date available | 2025-04-20T10:27:38Z | |
date copyright | 9/25/2024 12:00:00 AM | |
date issued | 2024 | |
identifier other | JHYEFF.HEENG-6180.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4304763 | |
description 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 (CN), which represents soil type, land use, and land cover; and (2) the initial abstraction (Ia), 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 CN and Ia 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 Ia was much smaller than traditionally assumed. Indeed, Ia=0 generally worked well. We also found that CN-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 CN-values than those from the current tables. We suggest that this study be expanded to include a wider range of watershed and storm characteristics. | |
publisher | American Society of Civil Engineers | |
title | Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US | |
type | Journal Article | |
journal volume | 29 | |
journal issue | 6 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/JHYEFF.HEENG-6180 | |
journal fristpage | 04024043-1 | |
journal lastpage | 04024043-14 | |
page | 14 | |
tree | Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 006 | |
contenttype | Fulltext |