Use of Artificial Neural Networks as a Predictive Tool of Dissolved Oxygen Present in Surface Water Discharged in the Coastal Lagoon of the Mar Menor (Murcia, Spain)

The Mar Menor is a Mediterranean coastal saltwater lagoon (Murcia, Spain) that represents a unique ecosystem of vital importance for the area, from both an economic and ecological point of view. During the last decades, the intense agricultural activity has caused episodes of eutrophication due to the contribution of inorganic nutrients, especially nitrates. For this reason, it is important to control the quality of the water discharged into the Mar Menor lagoon, which can be performed through the measurement of dissolved oxygen (DO). Therefore, this article aimed to predict the DO in the water discharged into this lagoon through the El Albujon watercourse, for which two theoretical models consisting of a multiple linear regression (MLR) and a back-propagation neural network (RPROP) were developed. Data of temperature, pH, nitrates, chlorides, sulphates, electrical conductivity, phosphates and DO at the mouth of this watercourse, between January 2014 and January 2021, were used. A preliminary statistical study was performed to discard the variables with the lowest influence on DO. Finally, both theoretical models were compared by means of the coefficient of determination (R-2), the root mean square errors (RMSE) and the mean absolute error (MAE), concluding that the neural network made a more accurate prediction of DO.

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Garcia del Toro E.M. Francisco Mateo L. Garcia-Salgado S. Isabel Mas-Lopez M. y Angeles Quijano M. Use of Artificial Neural Networks as a Predictive Tool of Dissolved Oxygen Present in Surface Water Discharged in the Coastal Lagoon of the Mar Menor (Murcia Spain). MDPI, 2022. https://doi.org/10.3390/ijerph19084531

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Retrieved: 21 Jan 2025 06:10:25
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Resource type Article
Date of creation 2024-11-05
Date of last revision 2025-01-21
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Metadata identifier 21a5f10f-1a8f-577d-b2fe-58d73522632e
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 Garcia del Toro, E.M., Francisco Mateo, L., Garcia-Salgado, S., Isabel Mas-Lopez, M. y Angeles Quijano, M.
Name of the dataset editor MDPI
Other identifier DOI: 10.3390/ijerph19084531
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Email of the dataset creator evamaria.garcia@upm.es
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