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Evaluating Microplastic Pollution Along the Dubai Coast: An Empirical Model Combining On-Site Sampling and Sentinel-2 Remote Sensing Data

  • Datos identificativos

    Identificador: imarina:9362446
    Autores:
    Ali, TMortula, MMohsen, BDronjak, LGawai, RAtabay, SKhan, ZFattah, K
    Resumen:
    The study addresses the growing concern of microplastic pollution in environmental matrices, emphasizing the significance of monitoring to understand their distribution, sources, and mitigation. Laboratory-based spectral reflectance analysis of water samples containing visible microplastics revealed distinctive spectral signatures. Coastal water samples collected over two campaigns were subjected to pretreatment to extract microplastics, and spectroscopic confirmation was followed by microscopic inspection. Results indicated average microplastics concentrations of 0.633 and 0.324 mg/L and 7.85 and 5.30 items/L in the datasets. Leveraging these findings, along with Sentinel-2 (Level-1C) data and spectral signatures, an empirical spectral microplastics model was developed to convert Sentinel-2's reflectance into microplastics concentrations. This model displayed an R2 of 87.30% and RMSE of +/- 0.015 mg/L. Subsequently, the model was employed to estimate microplastics concentrations in 2018, 2019, 2020, and 2021, showcasing its potential for monitoring microplastic pollution in the study area and similar regions.
  • Otros:

    Autor según el artículo: Ali, T; Mortula, M; Mohsen, B; Dronjak, L; Gawai, R; Atabay, S; Khan, Z; Fattah, K
    Departamento: Enginyeria Química
    Autor/es de la URV: Dronjak, Lara
    Palabras clave: Sentinel-2 Sediments Remote sensing Regression Microplastics Marine-environment Marine environment Emergingpollutant
    Resumen: The study addresses the growing concern of microplastic pollution in environmental matrices, emphasizing the significance of monitoring to understand their distribution, sources, and mitigation. Laboratory-based spectral reflectance analysis of water samples containing visible microplastics revealed distinctive spectral signatures. Coastal water samples collected over two campaigns were subjected to pretreatment to extract microplastics, and spectroscopic confirmation was followed by microscopic inspection. Results indicated average microplastics concentrations of 0.633 and 0.324 mg/L and 7.85 and 5.30 items/L in the datasets. Leveraging these findings, along with Sentinel-2 (Level-1C) data and spectral signatures, an empirical spectral microplastics model was developed to convert Sentinel-2's reflectance into microplastics concentrations. This model displayed an R2 of 87.30% and RMSE of +/- 0.015 mg/L. Subsequently, the model was employed to estimate microplastics concentrations in 2018, 2019, 2020, and 2021, showcasing its potential for monitoring microplastic pollution in the study area and similar regions.
    Áreas temáticas: Water science and technology Renewable energy, sustainability and the environment Environmental sciences Environmental science (miscellaneous) Engenharias iii Engenharias i Energy engineering and power technology Ciências ambientais
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: lara.dronjak@urv.cat
    Fecha de alta del registro: 2024-08-03
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.sdewes.org/jsdewes/pid11.0482
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Sustainable Development Of Energy, Water And Environment Systems. 12 (1):
    Referencia de l'ítem segons les normes APA: Ali, T; Mortula, M; Mohsen, B; Dronjak, L; Gawai, R; Atabay, S; Khan, Z; Fattah, K (2024). Evaluating Microplastic Pollution Along the Dubai Coast: An Empirical Model Combining On-Site Sampling and Sentinel-2 Remote Sensing Data. Journal Of Sustainable Development Of Energy, Water And Environment Systems, 12(1), -. DOI: 10.13044/j.sdewes.d11.0482
    DOI del artículo: 10.13044/j.sdewes.d11.0482
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2024
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Energy Engineering and Power Technology,Environmental Science (Miscellaneous),Environmental Sciences,Renewable Energy, Sustainability and the Environment,Water Science and Technology
    Sentinel-2
    Sediments
    Remote sensing
    Regression
    Microplastics
    Marine-environment
    Marine environment
    Emergingpollutant
    Water science and technology
    Renewable energy, sustainability and the environment
    Environmental sciences
    Environmental science (miscellaneous)
    Engenharias iii
    Engenharias i
    Energy engineering and power technology
    Ciências ambientais
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