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    Quantifying Excess Stormwater Using SCS-CN–Based Rainfall Runoff Models and Different Curve Number Determination Methods 

    Source: Journal of Irrigation and Drainage Engineering:;2015:;Volume ( 141 ):;issue: 003
    Author(s): Muhammad Ajmal; Tae-Woong Kim
    Publisher: American Society of Civil Engineers
    Abstract: Estimation of excess storm water is among the most basic hydrological challenges for hydrologists and engineers. The initial abstraction ratio
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    Synthetic Generation of Hydrologic Time Series Based on Nonparametric Random Generation 

    Source: Journal of Hydrologic Engineering:;2005:;Volume ( 010 ):;issue: 005
    Author(s): Tae-Woong Kim; Juan B. Valdés
    Publisher: American Society of Civil Engineers
    Abstract: Synthetic hydrologic time series can be used to quantify the uncertainty of a water resources system. Conventional parametric models, such as autoregressive moving average or Markovian models, assume that the variable under ...
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    Nonlinear Model for Drought Forecasting Based on a Conjunction of Wavelet Transforms and Neural Networks 

    Source: Journal of Hydrologic Engineering:;2003:;Volume ( 008 ):;issue: 006
    Author(s): Tae-Woong Kim; Juan B. Valdés
    Publisher: American Society of Civil Engineers
    Abstract: Droughts are destructive climatic extreme events that may cause significant damage both in natural environments and in human lives. Drought forecasting plays an important role in the control and management of water resources ...
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    Nonparametric Approach for Estimating Return Periods of Droughts in Arid Regions 

    Source: Journal of Hydrologic Engineering:;2003:;Volume ( 008 ):;issue: 005
    Author(s): Tae-Woong Kim; Juan B. Valdés; Chulsang Yoo
    Publisher: American Society of Civil Engineers
    Abstract: Droughts cause severe damage in terms of both natural environments and human lives, and hydrologists and water resources managers are concerned with estimating the relative frequencies of these events. Univariate parametric ...
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    Nonparametric Approach for Bivariate Drought Characterization Using Palmer Drought Index 

    Source: Journal of Hydrologic Engineering:;2006:;Volume ( 011 ):;issue: 002
    Author(s): Tae-Woong Kim; Juan B. Valdés; Chulsang Yoo
    Publisher: American Society of Civil Engineers
    Abstract: A drought is usually represented by duration and severity, and may last several months or years. Multidimensional characteristics of a drought make univariate analysis unable to reveal the significant relationship among ...
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    Runoff Estimation Using the NRCS Slope-Adjusted Curve Number in Mountainous Watersheds 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 004
    Author(s): Muhammad Ajmal; Muhammad Waseem; Jae-Hyun Ahn; Tae-Woong Kim
    Publisher: American Society of Civil Engineers
    Abstract: In mountainous watersheds, rainfall generates runoff quickly because of the decreased depression storage, high downslope flow velocity, and smaller chance for rainwater infiltration. In order to obtain precise event-based ...
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    Comprehensive Evaluation of Machine Learning Techniques for Hydrological Drought Forecasting 

    Source: Journal of Irrigation and Drainage Engineering:;2021:;Volume ( 147 ):;issue: 007:;page 04021022-1
    Author(s): Muhammad Jehanzaib; Muhammad Bilal Idrees; Dongkyun Kim; Tae-Woong Kim
    Publisher: ASCE
    Abstract: Drought is among the most hazardous climatic disasters that significantly influence various aspects of the environment and human life. Qualitative and reliable drought forecasting is important worldwide for effective ...
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