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    Wetland Water-Level Prediction Using ANN in Conjunction with Base-Flow Recession Analysis 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 001
    Author(s): Mehdi Rezaeianzadeh; Latif Kalin; Christopher J. Anderson
    Publisher: American Society of Civil Engineers
    Abstract: This study introduces two artificial neural network (ANN)-based methodologies to predict hourly water levels (WLs) in wetlands characterized by water tables at or near the surface that respond rapidly to precipitation. The ...
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    Wetland Water-Level Prediction Using ANN in Conjunction with Base-Flow Recession Analysis 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 001
    Author(s): Mehdi Rezaeianzadeh; Latif Kalin; Christopher J. Anderson
    Publisher: American Society of Civil Engineers
    Abstract: This study introduces two artificial neural network (ANN)-based methodologies to predict hourly water levels (WLs) in wetlands characterized by water tables at or near the surface that respond rapidly to precipitation. The ...
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    Understanding the Basis of the Curve Number Method for Watershed Models and TMDLs 

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 007
    Author(s): Richard H. Hawkins; Fred D. Theurer; Mehdi Rezaeianzadeh
    Publisher: American Society of Civil Engineers
    Abstract: The curve number (CN) rainfall-runoff method is described, with inferred extension to daily time-step models, which are the bases for most total maximum daily load (TMDL) assessments. Although originally developed for ...
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