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    Artificial Neural Network Models of Daily Pan Evaporation 

    Source: Journal of Hydrologic Engineering:;2006:;Volume ( 011 ):;issue: 001
    Author(s): M. Erol Keskin; Özlem Terzi
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural network (ANN) models are proposed as an alternative approach of evaporation estimation for Lake Eğirdir. This study has three objectives: (1) to develop ANN models to estimate daily pan evaporation from ...
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    Estimating Evaporation Using ANFIS 

    Source: Journal of Irrigation and Drainage Engineering:;2006:;Volume ( 132 ):;issue: 005
    Author(s): Özlem Terzi; M. Erol Keskin; E. Dilek Taylan
    Publisher: American Society of Civil Engineers
    Abstract: Water resources engineering assessment requires simple but effective evaporation estimation procedures, especially from readily measurable meteorological factors. Unfortunately, such approaches are rather scarce in the ...
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    Data Mining Process for Integrated Evaporation Model 

    Source: Journal of Irrigation and Drainage Engineering:;2009:;Volume ( 135 ):;issue: 001
    Author(s): M. Erol Keskin; Özlem Terzi; E. Uğur Küçüksille
    Publisher: American Society of Civil Engineers
    Abstract: The purpose of this study is to develop an integrating evaporation estimation model using a data mining process for the Lakes District in the southern part of Turkey. Lakes Eğirdir, Kovada, and Karacaören Dam are located ...
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    Closure to “Data Mining Process for Integrated Evaporation Model” by M. E. Keskin, Ö. Terzi, and E. U. Küçüksille 

    Source: Journal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 008
    Author(s): M. Erol Keskin; Özlem Terzi; E. Uğur Küçüksille
    Publisher: American Society of Civil Engineers
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    Predicting Hydrological Droughts of Long-Narrow Type Drainage Basin Using Monte Carlo Technique 

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 003:;page 04024013-1
    Author(s): Tahsin Baykal; Emine Dilek Taylan; Ekinhan Eriskin; Özlem Terzi
    Publisher: American Society of Civil Engineers
    Abstract: Drought forecasting is a critical aspect of water resource management, where droughts have substantial economic and environmental impacts. This study employs a Monte Carlo–based approach, complemented by statistical ...
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