Modeling of Runoff as a Function of Temperature and Precipitation: Application to the Litani River in Lebanon

Journal of Earth Science & Climatic Change(2019)

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Abstract
Runoff is critically important for humans in their ecological and economic activities; hence, the ability to estimatethe possible runoff change in response to changes in precipitation and temperature is highly desirable. In this article,two advanced methods are used to evaluate and quantify the relation and the impact of the runoff, precipitation andtemperature in the Litani river in Lebanon. Firstly, the classical regression linear model method showed the relationshipsand the correlation between the factors; also, the regression lag linear model was used to evaluate the dependencyof these factors at different times. Secondly, the advanced optimization shuffled complex method is a general methodwhich can be used during the absence of the nonlinearity data in order to evaluate the impact of the temperature andprecipitation data on the runoff data of the Litani river at different period.
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Key words
precipitation,runoff,litani river,modeling
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