Articles producció científica> Enginyeria Química

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

  • Identification data

    Identifier: imarina:9362446
  • Authors:

    Ali, T
    Mortula, M
    Mohsen, B
    Dronjak, L
    Gawai, R
    Atabay, S
    Khan, Z
    Fattah, K
  • Others:

    Author, as appears in the article.: Ali, T; Mortula, M; Mohsen, B; Dronjak, L; Gawai, R; Atabay, S; Khan, Z; Fattah, K
    Department: Enginyeria Química
    URV's Author/s: Dronjak, Lara
    Keywords: Sentinel-2 Sediments Remote sensing Regression Microplastics Marine-environment Marine environment Emergingpollutant
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: lara.dronjak@urv.cat
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sdewes.org/jsdewes/pid11.0482
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Journal Of Sustainable Development Of Energy, Water And Environment Systems. 12 (1):
    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
    Article's DOI: 10.13044/j.sdewes.d11.0482
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications
  • Keywords:

    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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