Simulation of Titicaca Lake Water Level Fluctuations Using Hybrid Machine Learning Technique Integrated with Grey Wolf Optimizer Algorithm

Simulation of Titicaca Lake Water Level Fluctuations Using Hybrid Machine Learning Technique Integrated with Grey Wolf Optimizer Algorithm

Lakes have an important role in storing water for drinking, producing hydroelectric power, and environmental, agricultural, and industrial uses. In order to optimize the use of lakes, precise prediction of the lake water level (LWL) is a main issue in water resources management. Due to the existence...

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Bibliographic Details
Main Authors: Babak Mohammadi, Yiqing Guan, Pouya Aghelpour, Samad Emamgholizadeh, Ramiro Pillco Zolá, Danrong Zhang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Water
Subjects:
lake water level
prediction
data-driven techniques
hybrid model
support vector regression
Titicaca Lake
Online Access:https://www.mdpi.com/2073-4441/12/11/3015

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