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Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction

Received: 16 May 2023     Accepted: 6 June 2023     Published: 15 June 2023
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Abstract

In order to contribute to the effective fight against eutrophication of the Ebrié lagoon estuarine waters, the present study proposed a mathematical model to predict water transparency based on five physico-chemical descriptors (temperature, dissolved oxygen, nitric nitrogen N-NO3-, nitrous nitrogen N-NO2- and ammoniacal nitrogen N-NH4+). On twenty-seven (27) water samples collected from 2014 to 2015, in situ measurements and physico-chemical analyses were carried out based on French standards. All the data collected was subjected to a multiple linear regression analysis. The proposed linear model is accredited with good statistical indicators. These statistical indicators revealed effective predictions with a coefficient of determination (R2 = 0.9308) close to one; a standard deviation (RMSE = 0.1311) of less than 0.3; a cross-validation coefficient of determination (Q2CV = 0.9256) of more than 0.9; and a Fischer test p-value of less than 0.0001. Furthermore, the values of the ratio of theoretical to experimental transparency of the validation set tend towards one. The results obtained suggest that the combination of these 5 descriptors could be useful for predicting transparency. Moreover, dissolved oxygen is the priority descriptor for the prediction of the transparency of the Ebrié lagoon, although the influence of the other descriptors is not less important.

Published in International Journal of Environmental Protection and Policy (Volume 11, Issue 3)
DOI 10.11648/j.ijepp.20231103.12
Page(s) 49-56
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), 2023. Published by Science Publishing Group

Keywords

Ebrié Lagoon, Eutrophication, Modelling, Multiple Linear Regression, Physico-Chemical Descriptors, Transparency

References
[1] Albaret J. J. & Charles-Dominique E., 1982. Observations d'un phénomène de maturation sexuelle précoce chez l’Ethmalose, Ethmalosa fimbriata Bowdich, dans une baie polluée de la lagune Ébrié (Côte d'Ivoire). Doc. Sci. Cent. Rech. Océanogr. Abidjan, 13 (2): 23-31.
[2] Kouassi A. M., Guiral D. & Dosso M., 1990. Variations saisonnières de la contamination microbienne de la zone urbaine d’une lagune tropicale estuarienne, Rev. Hydrobiol. Trop. 23 (3): 181-194.
[3] Adingra A. A. & Arfi R., 1998. Organic and Bacterial Pollution in the Ebrié Lagoon, Côte d'Ivoire. Mar. Poll. Bul., 36 (9): 689-695.
[4] Scheren P. A. G. M., Kroeze C., Janssen F. J. J. G., Hordijk L. & Ptasinski K. J., 2004. Integrated water pollution assessment of the Ebrié lagoon, Ivory Coast, West Africa. Journal of Marine Systems, 44 (1-2): 1-17.
[5] Yao K. M., Métongo B. S., Trokourey A. & Bokra Y., 2009. La pollution des eaux de la zone urbaine d’une lagune tropicale par les matières oxydables (lagune Ebrié, Côte d’Ivoire). Int. J. Biol. Chem. Sci., 3 (4): 755-770.
[6] Akilinon G. V., Gnagne A. E. J. E. Y., Ohou M. J. A., Ahoulé D. G. M & Yapo O. B., 2018. Seasonal dynamics of the nutrient contributions and limiting factor in the urban area of the lagoon Ebrie (Abidjan, Côte d’Ivoire). Journal of Chemical, Biological and Physical Sciences, 9 (1): 18-29.
[7] Akilinon G. V., 2021. Dynamique des apports en éléments nutritifs et bactéries fécales dans la zone estuarienne de la lagune Ebrié (Côte d’Ivoire) et risque d’eutrophisation. Thèse de Doctorat unique en Sciences et Gestion de l’Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire, n° 707, 189 p + annexes.
[8] Durand P., Breuer L., Johnes P., Billen G., Butturini A., Pinay G., Van Grinsven H. J. M., Garnier J., Rivett M., Reay D. S., Curtis C., Siemens J., Maberly S., Kaste Ø., Humborg C., Loeb R., De Klein J., Hejzlar J., Skoulikidis N., Kortelainen P., Lepistö A. & Wright R. F., 2011. Nitrogen processes in aquatic ecosystems. In "The European Nitrogen Assessment. Sources, Effects and Policy Perspectives". Cambridge University Press.: 126-146.
[9] Grizzetti B., Bouraoui F., Billen G., Van Grinsven H. J. M., Cardoso A. C., Thieu V., Garnier J., Curtis C., Howarth R. W., & Jones P., 2011. Nitrogen as a threat to European water quality. In "European nitrogen assessment". Cambridge University Press.: 379-404.
[10] Kpidi Habib Yapo, Yapo Ossey Bernard, Kone Mamadou Guy-, Gadji Gabaze Andre, Gnagne Agness Essoh Jean-Yves Eudes, N’dri Jean Stephane, And Ziao Nabosse, 2018. Monotiring and Modeling of Chorophyll-a Dynamics in a Eutrophic Lake: N’koa Lake (Jacqueville, Ivory Coast), American Journal Of Environmental Protection, Vol. 6 (1): 1-9.
[11] Ifremer, 2013. Réseau de Suivi Lagunaire du Languedoc-Roussillon: Bilan des résultats 2012. Rapport RSL-13/2013, 266 p.
[12] Minaudo C., 2015. Analyse et modélisation de l’eutrophisation de la Loire. Thèse de Doctorat, Université François-Rabelais de Tours, 241 p + annexes.
[13] INRA, 2003. La Modélisation à l’INRA, annexe page 6.
[14] Kpidi Habib Yapo, Koné Mamadou Guy-Richard, Gadji Gabaze Andre, Ballet Tiama Guy, Ouattara Lamoussa, Yapo Ossey Bernard, And Ziao Nabosse, 2018. Modeling of the Dynamics and Prediction of Transparency of a Mesotropic Tropical Lake: Bakré Lake (Abidjan, Côte d'Ivoire). Resources and Environment, Vol. 8 (3): 174-183.
[15] Villeneuve V., Légaré S., Painchaud J. & Warwick V., 2006. Dynamique et modélisation de l’oxygène dissous en rivière. Revue des Sciences de l’Eau, 19, 259-274.
[16] Kouassi A., M., Mamadou A., Ahoussi K. E. & Biémi J., 2014. Conception de modèles statistiques à variables hydrochimiques pour la prédiction de la conductivité électrique des eaux souterraines. Larhyss Journal, 20: 189-207.
[17] Maalouf J. P., 2016. Introduction à la modélisation statistique. 44 p.
[18] Dufour P., 1982. Les frontières naturelles et humaines du système lagunaire Ebrié. Hydrobiologia, 94: 105-120.
[19] Durand J. R. & Guiral D., 1994. Hydroclimat et hydrochimie. In: Environnement et Ressources aquatiques de Côte d’Ivoire. Les milieux lagunaires. Ed. ORSTOM: 59-90.
[20] INS, 2014. Recensement Général de la Population et de l’Habitat en Côte d’Ivoire. Résultats globaux. Secrétariat Technique Permanent du Comité Technique du RGPH, 26 p.
[21] Ané A. A., 2017. Qualité environnementale d’un estuaire à pression anthropique et à forçages naturels saisonniers en lagune Ebrié (Sud - Est de la Côte D’Ivoire). Thèse de Doctorat d’Etat, Université de Cocody, 297 p.
[22] Rodier J., Legube B. & Merlet N., 2009. L’analyse de l’eau. 9è édition. Dunod, Paris. 1579 p.
[23] Kombo M. O. S., Koné M. G. R., Kpidi Y. H., Gnagne A. E. J. E. Y., Ballet T. G. N. & Yapo O. B., 2020. Modeling the Migration of 2,6-di-tert-butyl-p-cresol from Plastic Bags into attiéké (Cassava Couscous) from Physico-Chemical and Morphometric Parameters. American Journal of Environmental Protection, Vol. 9, No. 1: 1-9.
[24] Ghamali M., Chtita S., Bouachrine M. & Lakhlift T., 2016. Méthodologie générale d’une étude RQSA/RQSP. Revue Interdisciplinaire, Vol. 1, 6 p.
[25] Deronzier G. & Choubert J-M., 2004. Traitement du phosphore dans les petites stations d’épuration à boue activée, comparaison techniques et économiques des voies de traitement biologique et physico-chimique. Document technique FNDEA, n°29, 1ere éd. CEMAGREF, 24 p.
[26] Snedecor, G. W. & Cochran, W. G. 1967. Statistical Methods. Oxford and IBH, New Delhi, India, 381 p.
[27] Traoré Yafigui, Koné Mamadou Guy-Richard, Ouattara Ouanlo & Ziao Nahossé, 2018. QSAR Approach to Estimating the Analgesic Activity of a Serie of Tri-Substituted Pyrimidine Derivatives, Journal of Computational Chemistry & Molecular Modelling, Vol. 2 (4): 1-14.
[28] Chtita Samir, 2017. Modélisation de molécules organiques hétérocycliques biologiquement actives par des méthodes QSAR/QSPR. Recherche de nouveaux médicaments. Thèse de Doctorat en Chimie physique et Modélisation, Université Moulay Ismaïl, Meknès, 186 p.
[29] Eriksson, L., Jaworska J., Worth A., Cronin M. T. D., Dowell R. M. Mc & Gramatica P., 2003. Methods for Reliability and Uncertainty Assessment and for Applicability Evaluations of Classification and Regression-Based QSARs. Environmental Health Perspectives, 111: 1361-1375.
[30] Veerasamy Bavichandran, Rajak Harish, Jain Abbishek, Sivadasan Shalini, Varghese P. Christapher, and Agrawal Kishore Ram, 2011. Validation of QSAR Models-Strategies and Importance. International Journal of Drug Design and discovery, Vol. 2 (3): 511-519.
[31] Topliss j. G. And Edwards R. P., 1979. Chance factors in studies of quantitative structure-activity relationships, Journal of Medicinal Chemistry, Vol. 22 (10): 1238-1244.
[32] Kpidi Y. H., 2020. Evaluation de l’eutrophisation de deux lacs en Côte d’Ivoire (Bakré, M’koa): Analyse multidimensionnelle et prédiction. Thèse de Doctorat unique en Sciences et Gestion de l’Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire, n° 555, 199 p + annexes.
[33] Kombo M. O. S., 2022. Etude de la contamination de l’attiéké par les sachets plastiques utilisés pour son conditionnement et modélisation de la migration des substances contaminantes. Thèse de Doctorat unique en Sciences et Gestion de l’Environnement, Université Nangui Abrogoua, Abidjan, Côte d'Ivoire, n° 741, 178 p + annexes.
[34] Diudea, M. V., 2000. QSPR/QSAR Studies for Molecular Descriptors. Nova Science: Huntingdon, New York. USA. J. Chem. Inf. Comput. Sci, Vol. 43 (5): 1720-1721.
[35] Guendouzi A., 2015. Élaboration des modèles QSPR prédictifs des propriétés physicochimiques à l’aide des descripteurs moléculaires. Thèse de Doctorat, faculté des Sciences, Université Abou Bekr Belkaïd de Tlemcen, Algérie, 140p.
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  • APA Style

    Akilinon Gansso Valentin, Kombo Mananga Olivier Simon, Kpidi Yapo Habib, Yapo Ossey Bernard. (2023). Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction. International Journal of Environmental Protection and Policy, 11(3), 49-56. https://doi.org/10.11648/j.ijepp.20231103.12

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    ACS Style

    Akilinon Gansso Valentin; Kombo Mananga Olivier Simon; Kpidi Yapo Habib; Yapo Ossey Bernard. Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction. Int. J. Environ. Prot. Policy 2023, 11(3), 49-56. doi: 10.11648/j.ijepp.20231103.12

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    AMA Style

    Akilinon Gansso Valentin, Kombo Mananga Olivier Simon, Kpidi Yapo Habib, Yapo Ossey Bernard. Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction. Int J Environ Prot Policy. 2023;11(3):49-56. doi: 10.11648/j.ijepp.20231103.12

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  • @article{10.11648/j.ijepp.20231103.12,
      author = {Akilinon Gansso Valentin and Kombo Mananga Olivier Simon and Kpidi Yapo Habib and Yapo Ossey Bernard},
      title = {Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction},
      journal = {International Journal of Environmental Protection and Policy},
      volume = {11},
      number = {3},
      pages = {49-56},
      doi = {10.11648/j.ijepp.20231103.12},
      url = {https://doi.org/10.11648/j.ijepp.20231103.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20231103.12},
      abstract = {In order to contribute to the effective fight against eutrophication of the Ebrié lagoon estuarine waters, the present study proposed a mathematical model to predict water transparency based on five physico-chemical descriptors (temperature, dissolved oxygen, nitric nitrogen N-NO3-, nitrous nitrogen N-NO2- and ammoniacal nitrogen N-NH4+). On twenty-seven (27) water samples collected from 2014 to 2015, in situ measurements and physico-chemical analyses were carried out based on French standards. All the data collected was subjected to a multiple linear regression analysis. The proposed linear model is accredited with good statistical indicators. These statistical indicators revealed effective predictions with a coefficient of determination (R2 = 0.9308) close to one; a standard deviation (RMSE = 0.1311) of less than 0.3; a cross-validation coefficient of determination (Q2CV = 0.9256) of more than 0.9; and a Fischer test p-value of less than 0.0001. Furthermore, the values of the ratio of theoretical to experimental transparency of the validation set tend towards one. The results obtained suggest that the combination of these 5 descriptors could be useful for predicting transparency. Moreover, dissolved oxygen is the priority descriptor for the prediction of the transparency of the Ebrié lagoon, although the influence of the other descriptors is not less important.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Dynamics of the Estuarine Zone of the Ebrié Lagoon (Abidjan - Ivory Coast) and Transparency Prediction
    AU  - Akilinon Gansso Valentin
    AU  - Kombo Mananga Olivier Simon
    AU  - Kpidi Yapo Habib
    AU  - Yapo Ossey Bernard
    Y1  - 2023/06/15
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ijepp.20231103.12
    DO  - 10.11648/j.ijepp.20231103.12
    T2  - International Journal of Environmental Protection and Policy
    JF  - International Journal of Environmental Protection and Policy
    JO  - International Journal of Environmental Protection and Policy
    SP  - 49
    EP  - 56
    PB  - Science Publishing Group
    SN  - 2330-7536
    UR  - https://doi.org/10.11648/j.ijepp.20231103.12
    AB  - In order to contribute to the effective fight against eutrophication of the Ebrié lagoon estuarine waters, the present study proposed a mathematical model to predict water transparency based on five physico-chemical descriptors (temperature, dissolved oxygen, nitric nitrogen N-NO3-, nitrous nitrogen N-NO2- and ammoniacal nitrogen N-NH4+). On twenty-seven (27) water samples collected from 2014 to 2015, in situ measurements and physico-chemical analyses were carried out based on French standards. All the data collected was subjected to a multiple linear regression analysis. The proposed linear model is accredited with good statistical indicators. These statistical indicators revealed effective predictions with a coefficient of determination (R2 = 0.9308) close to one; a standard deviation (RMSE = 0.1311) of less than 0.3; a cross-validation coefficient of determination (Q2CV = 0.9256) of more than 0.9; and a Fischer test p-value of less than 0.0001. Furthermore, the values of the ratio of theoretical to experimental transparency of the validation set tend towards one. The results obtained suggest that the combination of these 5 descriptors could be useful for predicting transparency. Moreover, dissolved oxygen is the priority descriptor for the prediction of the transparency of the Ebrié lagoon, although the influence of the other descriptors is not less important.
    VL  - 11
    IS  - 3
    ER  - 

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Author Information
  • Science and Technology Department, Alassane Ouattara University, Bouaké, Ivory Coast

  • Environmental Sciences Laboratory, Environmental Sciences and Management Department, Nangui Abrogoua University, Abidjan, Ivory Coast

  • Environmental Sciences Laboratory, Environmental Sciences and Management Department, Nangui Abrogoua University, Abidjan, Ivory Coast

  • Environmental Sciences Laboratory, Environmental Sciences and Management Department, Nangui Abrogoua University, Abidjan, Ivory Coast

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