Journal of Earth Science & Climatic Change
Open Access

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

Ali Hayek^1,2,3, Nabil Tabaja^1,2, Zaher Khraibani⁴, Samir Abbad Andaloussi³, Joumana Toufaily^1,2, Mohamad Mrad⁵, Evelyne Garnie-Zarli³ and Tayssir Hamieh^1,2*

¹Laboratory of Materials, Catalysis, Environment and Analytical Methods (MCEMA), EDST, Lebanese University, Hadath, Lebanon

²Laboratory of Applied Studies for Sustainable Development and Renewable Energy (LEADDER), EDST, Lebanese University, Hadath, Lebanon

³Laboratoire Eau Environnment Systèmes Urbains (LEESU), Université Paris Est, France

⁴Faculty of Science, Department of Applied Mathematics, Lebanese University, Hadath, Lebanon

⁵Faculty of Science, Department of Physics, Lebanese University, Nabatieh, Lebanon

Received Date: Sep 07, 2019 / Accepted Date: Oct 13, 2019 / Published Date: Oct 19, 2019

Citation: Hayek A, Tabaja N, Khraibani Z, Andaloussi SA, Toufaily J, et al. (2019) Modeling of Runoff as a Function of Temperature and Precipitation: Application to the Litani River in Lebanon. J Earth Sci Clim Change 10:526

Copyright: © 2019 Hayek A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Runoff is critically important for humans in their ecological and economic activities; hence, the ability to estimate
the 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 and
temperature in the Litani river in Lebanon. Firstly, the classical regression linear model method showed the relationships
and the correlation between the factors; also, the regression lag linear model was used to evaluate the dependency
of these factors at different times. Secondly, the advanced optimization shuffled complex method is a general method
which can be used during the absence of the nonlinearity data in order to evaluate the impact of the temperature and
precipitation data on the runoff data of the Litani river at different period.

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