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Prediction of the Dynamics of Total Chlorophyll-a in the Waters of the Ebrie Lagoon, Abidjan (Ivory Coast)

Received: 6 July 2021     Accepted: 19 July 2021     Published: 3 September 2021
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Abstract

The aquatic environments which represent a vital resource for man are threatened by various pollution of anthropogenic origin. Chlorophyll-a being the consequence of the nutrient enrichment of water and linked to primary production, participates in the degradation of water quality by the proliferation of phytoplankton. Algal development depends on physical, chemical and biological factors in the aquatic environment. The objective of the study is to determine a better model for predicting chlorophyll-a concentrations from the environmental variables of the waters of the Ebrié lagoon. The predictive model by multilinear regression of total chlorophyll-a allowed to generate excellent statistical indicators and final descriptors of influence (R2 = 0.9076; RMCE = 0.1296; F = 216.009). The external validation tests of Tropsha et al and Roy et al are all verified and the model obtained has a good predictive power. Thus, suspended solids (SS) (33%) and pH (23%) were the most influential descriptors of the water model of the Ebrié lagoon. At the level of the applicability domain of the model the value of the threshold lever is h*=0.875. The observations of the training set are all within the domain, so the prediction of chlorophyll-a concentrations is reliable.

Published in International Journal of Environmental Monitoring and Analysis (Volume 9, Issue 5)
DOI 10.11648/j.ijema.20210905.12
Page(s) 114-121
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Physico-chemical, Biological, Total Chlorophyll-a, Multilinear Regression, Ebrié Lagoon Waters

References
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  • APA Style

    Yapo Habib Kpidi, Georges Stephane Dembele, Tiama Guy Ballet, Esmel Amari, Ossey Bernard Yapo, et al. (2021). Prediction of the Dynamics of Total Chlorophyll-a in the Waters of the Ebrie Lagoon, Abidjan (Ivory Coast). International Journal of Environmental Monitoring and Analysis, 9(5), 114-121. https://doi.org/10.11648/j.ijema.20210905.12

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    ACS Style

    Yapo Habib Kpidi; Georges Stephane Dembele; Tiama Guy Ballet; Esmel Amari; Ossey Bernard Yapo, et al. Prediction of the Dynamics of Total Chlorophyll-a in the Waters of the Ebrie Lagoon, Abidjan (Ivory Coast). Int. J. Environ. Monit. Anal. 2021, 9(5), 114-121. doi: 10.11648/j.ijema.20210905.12

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    AMA Style

    Yapo Habib Kpidi, Georges Stephane Dembele, Tiama Guy Ballet, Esmel Amari, Ossey Bernard Yapo, et al. Prediction of the Dynamics of Total Chlorophyll-a in the Waters of the Ebrie Lagoon, Abidjan (Ivory Coast). Int J Environ Monit Anal. 2021;9(5):114-121. doi: 10.11648/j.ijema.20210905.12

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  • @article{10.11648/j.ijema.20210905.12,
      author = {Yapo Habib Kpidi and Georges Stephane Dembele and Tiama Guy Ballet and Esmel Amari and Ossey Bernard Yapo and Affian Kouadio},
      title = {Prediction of the Dynamics of Total Chlorophyll-a in the Waters of the Ebrie Lagoon, Abidjan (Ivory Coast)},
      journal = {International Journal of Environmental Monitoring and Analysis},
      volume = {9},
      number = {5},
      pages = {114-121},
      doi = {10.11648/j.ijema.20210905.12},
      url = {https://doi.org/10.11648/j.ijema.20210905.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20210905.12},
      abstract = {The aquatic environments which represent a vital resource for man are threatened by various pollution of anthropogenic origin. Chlorophyll-a being the consequence of the nutrient enrichment of water and linked to primary production, participates in the degradation of water quality by the proliferation of phytoplankton. Algal development depends on physical, chemical and biological factors in the aquatic environment. The objective of the study is to determine a better model for predicting chlorophyll-a concentrations from the environmental variables of the waters of the Ebrié lagoon. The predictive model by multilinear regression of total chlorophyll-a allowed to generate excellent statistical indicators and final descriptors of influence (R2 = 0.9076; RMCE = 0.1296; F = 216.009). The external validation tests of Tropsha et al and Roy et al are all verified and the model obtained has a good predictive power. Thus, suspended solids (SS) (33%) and pH (23%) were the most influential descriptors of the water model of the Ebrié lagoon. At the level of the applicability domain of the model the value of the threshold lever is h*=0.875. The observations of the training set are all within the domain, so the prediction of chlorophyll-a concentrations is reliable.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Prediction of the Dynamics of Total Chlorophyll-a in the Waters of the Ebrie Lagoon, Abidjan (Ivory Coast)
    AU  - Yapo Habib Kpidi
    AU  - Georges Stephane Dembele
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    AU  - Affian Kouadio
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    DO  - 10.11648/j.ijema.20210905.12
    T2  - International Journal of Environmental Monitoring and Analysis
    JF  - International Journal of Environmental Monitoring and Analysis
    JO  - International Journal of Environmental Monitoring and Analysis
    SP  - 114
    EP  - 121
    PB  - Science Publishing Group
    SN  - 2328-7667
    UR  - https://doi.org/10.11648/j.ijema.20210905.12
    AB  - The aquatic environments which represent a vital resource for man are threatened by various pollution of anthropogenic origin. Chlorophyll-a being the consequence of the nutrient enrichment of water and linked to primary production, participates in the degradation of water quality by the proliferation of phytoplankton. Algal development depends on physical, chemical and biological factors in the aquatic environment. The objective of the study is to determine a better model for predicting chlorophyll-a concentrations from the environmental variables of the waters of the Ebrié lagoon. The predictive model by multilinear regression of total chlorophyll-a allowed to generate excellent statistical indicators and final descriptors of influence (R2 = 0.9076; RMCE = 0.1296; F = 216.009). The external validation tests of Tropsha et al and Roy et al are all verified and the model obtained has a good predictive power. Thus, suspended solids (SS) (33%) and pH (23%) were the most influential descriptors of the water model of the Ebrié lagoon. At the level of the applicability domain of the model the value of the threshold lever is h*=0.875. The observations of the training set are all within the domain, so the prediction of chlorophyll-a concentrations is reliable.
    VL  - 9
    IS  - 5
    ER  - 

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Author Information
  • Laboratory of Environmental Sciences (LSE), UFR of Environmental Sciences and Management (UFR SGE), Nangui Abrogoua University, Abidjan, Ivory Coast

  • Laboratory of Thermodynamics and Environmental Physico-Chemistry, Basic and Applied Sciences Department (UFR SFA), Nangui Abrogoua University, Abidjan, Ivory Coast

  • Laboratory of Environmental Sciences (LSE), UFR of Environmental Sciences and Management (UFR SGE), Nangui Abrogoua University, Abidjan, Ivory Coast

  • Laboratory of Geosciences of Sedimentary Environments and Energies, UFR of Earth Sciences and Mining Resources, Université Félix Houphou?t-Boigny, Abidjan, Ivory Coast

  • Laboratory of Environmental Sciences (LSE), UFR of Environmental Sciences and Management (UFR SGE), Nangui Abrogoua University, Abidjan, Ivory Coast

  • Laboratory of Geosciences of Sedimentary Environments and Energies, UFR of Earth Sciences and Mining Resources, Université Félix Houphou?t-Boigny, Abidjan, Ivory Coast

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