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    Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 006::page 04024043-1
    Author:
    Tahneen Jahan Neelam
    ,
    Scott Steinschneider
    ,
    Donald E. Woodward
    ,
    Richard Hawkins
    ,
    M. Todd Walter
    DOI: 10.1061/JHYEFF.HEENG-6180
    Publisher: 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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      Improved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US

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    contributor authorTahneen Jahan Neelam
    contributor authorScott Steinschneider
    contributor authorDonald E. Woodward
    contributor authorRichard Hawkins
    contributor authorM. Todd Walter
    date accessioned2025-04-20T10:27:38Z
    date available2025-04-20T10:27:38Z
    date copyright9/25/2024 12:00:00 AM
    date issued2024
    identifier otherJHYEFF.HEENG-6180.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304763
    description abstractThe 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.
    publisherAmerican Society of Civil Engineers
    titleImproved Regionalization of the CN Method for Extreme Events at Ungauged Sites across the US
    typeJournal Article
    journal volume29
    journal issue6
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6180
    journal fristpage04024043-1
    journal lastpage04024043-14
    page14
    treeJournal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 006
    contenttypeFulltext
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