Using Machine-Learning Algorithms for Eutrophication Modeling: Case Study of Mar Menor Lagoon (Spain)

The Mar Menor is a hypersaline coastal lagoon with high environmental value and a characteristic example of a highly anthropized hydro-ecosystem located in the southeast of Spain. An unprecedented eutrophication crisis in 2016 and 2019 with abrupt changes in the quality of its waters caused a great social alarm. Understanding and modeling the level of a eutrophication indicator, such as chlorophyll-a (Chl-a), benefits the management of this complex system. In this study, we investigate the potential machine learning (ML) methods to predict the level of Chl-a. Particularly, Multilayer Neural Networks (MLNNs) and Support Vector Regressions (SVRs) are evaluated using as a target dataset information of up to nine different water quality parameters. The most relevant input combinations were extracted using wrapper feature selection methods which simplified the structure of the model, resulting in a more accurate and efficient procedure. Although the performance in the validation phase showed that SVR models obtained better results than MLNNs, experimental results indicated that both ML algorithms provide satisfactory results in the prediction of Chl-a concentration, reaching up to 0.7 R-CV(2) (cross-validated coefficient of determination) for the best-fit models.

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Jimeno-Saez P. Senent-Aparicio J. Cecilia J.M. y Perez-Sanchez J. Using Machine-Learning Algorithms for Eutrophication Modeling: Case Study of Mar Menor Lagoon (Spain). MDPI, 2020. https://doi.org/10.3390/ijerph17041189

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Retrieved: 19 Jan 2025 21:36:29
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Resource type Article
Date of creation 2024-11-05
Date of last revision 2025-01-19
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Metadata identifier fdc45613-002f-5f83-8c90-0402d42957f5
Metadata language Spanish
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High-value dataset category Earth observation and environment
ISO 19115 topic category biota
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Name of the dataset creator Jimeno-Saez, P., Senent-Aparicio, J., Cecilia, J.M. y Perez-Sanchez, J.
Name of the dataset editor MDPI
Other identifier DOI: 10.3390/ijerph17041189
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Email of the dataset creator jsenent@ucam.edu
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