Modeling of Runoff as a Function of Temperature and Precipitation: Application to the Litani River in Lebanon*Corresponding Author: Tayssir Hamieh, Laboratory of Materials, Catalysis, Environment and Analytical Methods (MCEMA), EDST, Lebanese University, Hadath, Lebanon, Email: [email protected]
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.
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.