Assessment of oceanographic services for the monitoring of highly anthropised coastal lagoons: The Mar Menor case study

Ocean monitoring systems are designed for continuous monitoring to track their evolution and anticipate environmental issues. However, they are often based on IoT systems that offer little spatial coverage and are hard to maintain. Satellite remote sensing offers good geographical coverage but they...

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Detalles Bibliográficos
Autores: Giménez, J.G., Bueno-Crespo, A., Senent-Aparicio, J., Gómez-Jakobsen, Francisco José, Mercado-Carmona, Jesús Mariano, Blanco-Gómez, P., Amurrio-García, C., Ruiz-Fernández, Juan Manuel, Cecilia, J.
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/320242
Acceso en línea:http://hdl.handle.net/10261/320242
Access Level:acceso abierto
Palabra clave:Centro Oceanográfico de Málaga
Eutrophication
Medio Marino
Nutrient pollution
Phytoplankton
Satellite images
coastal lagoons
lagoons
monitoring
Descripción
Sumario:Ocean monitoring systems are designed for continuous monitoring to track their evolution and anticipate environmental issues. However, they are often based on IoT systems that offer little spatial coverage and are hard to maintain. Satellite remote sensing offers good geographical coverage but they also face several challenges to become a monitoring system. This paper introduces an easy-to-use software tool to crawl water-quality data from up to 6 satellite instruments from the ESA and NASA. Particularly, Chl-a data is deeply analyzed in terms of reliability and data coverage for a highly anthropised coastal lagoon (Mar Menor, Spain), where serious socio-environmental issues are happening. Our results show a good linear correlation between in situ data and SRS data, reaching values close to 0.9, and stating the relevance of organic matter inputs from ephemeral streams in Chl-a concentrations. Moreover, temporal granularity is increased from 5 to 1.5 days by combining SRS sources.