Lake Level Estimation using Machine Learning and Physically-based Approaches in Lake Tana, Ethiopia

Zoi Dokou; Natasa Reljin; Mohsen Kheirabadi; Amvrossios C Bagtzoglou; Emmanouil N Anagnostou

doi:10.1109/NEUREL.2018.8587035

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Lake Level Estimation using Machine Learning and Physically-based Approaches in Lake Tana, Ethiopia

Zoi Dokou, Natasa Reljin, Mohsen Kheirabadi, Amvrossios C Bagtzoglou and Emmanouil N Anagnostou

2018 14th Symposium on Neural Networks and Applications (NEUREL), pp.1-4

11/2018

DOI: https://doi.org/10.1109/NEUREL.2018.8587035

Handle:

https://hdl.handle.net/20.500.12741/rep:5770

Abstract

Support vector machines

Lake Tana

Computational modeling

Estimation

Lakes

Support vector regression

Physically-based modeling

Rivers

Bland-Altman analysis

Kernel

MODFLOW

Water resources

This study aims to estimate the monthly water levels of Lake Tana, Ethiopia, which is the source of the Blue Nile and as such is of great importance not only for the local communities but for all the countries depending on its waters. Two different approaches are used for this purpose: a physically-based model and a data-driven algorithm which uses support vector regression. A comparative analysis of their errors, applicability, ease of use and computational speed is performed. Although the physically-based model outperformed the data-driven model in all but the bias metric, the latter has multiple competitive advantages such as reduced computational effort, shorter training/calibration time, and the fact that it requires the selection of fewer model parameters.

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Title: Lake Level Estimation using Machine Learning and Physically-based Approaches in Lake Tana, Ethiopia
Creators: Zoi Dokou - Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
Natasa Reljin - Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA
Mohsen Kheirabadi - Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
Amvrossios C Bagtzoglou - Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
Emmanouil N Anagnostou - Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
Academic Unit: Civil Engineering Department
Publisher: IEEE
Publication Details: 11/2018
Identifiers: 99257870682201671; https://hdl.handle.net/20.500.12741/rep:5770; https://doi.org/10.1109/NEUREL.2018.8587035
Language: English

Lake Level Estimation using Machine Learning and Physically-based Approaches in Lake Tana, Ethiopia

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