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    Forecasting Evaporative Loss by Least-Square Support-Vector Regression and Evaluation with Genetic Programming, Gaussian Process, and Minimax Probability Machine Regression: Case Study of Brisbane City 

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 006
    Author(s): Ravinesh C. Deo; Pijush Samui
    Publisher: American Society of Civil Engineers
    Abstract: Daily evaporative loss (Ep) forecasting models are decisive tools with potential applications in hydrology, the design of water systems, urban water assessments, and irrigation management. This paper performs a case study ...
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    Investigating Drought Duration-Severity-Intensity Characteristics Using the Standardized Precipitation-Evapotranspiration Index: Case Studies in Drought-Prone Southeast Queensland 

    Source: Journal of Hydrologic Engineering:;2018:;Volume ( 023 ):;issue: 001
    Author(s): Kavina S. Dayal; Ravinesh C. Deo; Armando A. Apan
    Publisher: American Society of Civil Engineers
    Abstract: Drought characterization is crucial for identifying impacts on irrigation, agriculture, hydrologic engineering, and water resources management. This case study demonstrates the scientific relevance of the standardized ...
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