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    Comparison of Synthetic Design Storms with Observed Storms in Southern Arizona 

    Source: Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 011
    Author(s): Akitsu Kimoto; H. Evan Canfield; David Stewart
    Publisher: American Society of Civil Engineers
    Abstract: Historical storms with a 24-h rainfall depth exceeding 50.8 mm (2 in.) recorded in southern Arizona were compared with design storms developed both locally and by the USDA Soil Conservation Service (SCS). This study aims ...
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    Curve Number Determination Methods and Uncertainty in Hydrologic Soil Groups from Semiarid Watershed Data 

    Source: Journal of Hydrologic Engineering:;2012:;Volume ( 017 ):;issue: 011
    Author(s): Dave Stewart; Evan Canfield; Richard Hawkins
    Publisher: American Society of Civil Engineers
    Abstract: Four curve number (CN) determination methods are evaluated from 16 watersheds in the southwestern U.S. using 1,284 events that satisfy rainfall and runoff criteria. The use of ordered pairs versus natural pairs of rainfall ...
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    Estimating an Impedance-to-Flow Parameter for Flood Peak Prediction in Semiarid Watersheds 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 003
    Author(s): Dave Stewart; Evan Canfield; Muluneh Yitayew; Mary Nichols
    Publisher: American Society of Civil Engineers
    Abstract: The time of concentration equation used in Pima County, Arizona, includes a hydrologic parameter representing the impedance to flow for peak discharge estimation on small [typically less than
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    Quantification of Curve Numbers for Arid Watersheds 

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 001:;page 04024059-1
    Author(s): Jennifer G. Duan; Ali Arjmandi; Evan Canfield; Eleonora Demaria; David C. Goodrich; Kun Qi
    Publisher: American Society of Civil Engineers
    Abstract: Although the curve number (CN) method has been widely used in rainfall and runoff models, the physical interpretation of the CN method is still challenging, for instance how to estimate the potential maximum retention. ...
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