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Information Journal Paper

Title

DAILY DISCHARGE ESTIMATION IN TALAR RIVER USING LAZY LEARNING MODEL

Pages

  1874-1887

Abstract

 Introduction: River discharge as one of the most important hydrology factors has avital role in physical, ecological, social and economic processes. So, accurate and reliable prediction and estimation of river discharge have been widely considered by many researchers in different fields such as surface water management, design of hydraulic structures, flood control and ecological studies in spetialand temporal scale. Therefore, in last decades different techniques for short-term and long-term estimation of hourly, daily, monthly and annual discharge have been developed for many years. However, short-term estimation models are less sophisticated and more accurate. Various global and local algorithms have been widely used to estimate hydrologic variables. The current study effort to use Lazy Learning approach to evaluate the adequacy of input data in order to follow the variation of discharge and also simulate next-day discharge in Talar River in KASILIAN BASINwhere is located in north of Iran with an area of 66.75 km2. Lazy learning is a local linear modelling approach in which generalization beyond the training data is delayed until a query is made to the system, as opposed to in eager learning, where the system tries to generalize the training data before receiving queries.

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  • Cite

    APA: Copy

    ABDOLLAHI, Z., KAVIAN, A., SHAHEDI, K., ABDOLLAHI, N., & JAFARI, M.. (2017). DAILY DISCHARGE ESTIMATION IN TALAR RIVER USING LAZY LEARNING MODEL. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 30(6 ), 1874-1887. SID. https://sid.ir/paper/141821/en

    Vancouver: Copy

    ABDOLLAHI Z., KAVIAN A., SHAHEDI K., ABDOLLAHI N., JAFARI M.. DAILY DISCHARGE ESTIMATION IN TALAR RIVER USING LAZY LEARNING MODEL. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2017;30(6 ):1874-1887. Available from: https://sid.ir/paper/141821/en

    IEEE: Copy

    Z. ABDOLLAHI, A. KAVIAN, K. SHAHEDI, N. ABDOLLAHI, and M. JAFARI, “DAILY DISCHARGE ESTIMATION IN TALAR RIVER USING LAZY LEARNING MODEL,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 30, no. 6 , pp. 1874–1887, 2017, [Online]. Available: https://sid.ir/paper/141821/en

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