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

Yapo Habib Kpidi; Georges Stephane Dembele; Tiama Guy Ballet; Esmel Amari; Ossey Bernard Yapo; Affian Kouadio

doi:doi:10.11648/j.ijema.20210905.12

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

Yapo Habib Kpidi, Georges Stephane Dembele, Tiama Guy Ballet, Esmel Amari, Ossey Bernard Yapo, Affian Kouadio

Published in International Journal of Environmental Monitoring and Analysis (Volume 9, Issue 5)

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

[1]	Y. H. Kpidi, O. B. Yapo, T. G. Ballet et M.-J. Ohou-Yao, “Daily variability of the physico-chemical quality of Lake M'koa of Jacqueville (Ivory Coast)”, International Journal of Biological and Chemical Sciences, vol. 11, n°12, p. 901–910, 2017.
[2]	E. Gnagne Agness, «Characterization of the effluents drained by the wastewater network of the city of Abidjan and prediction of TSS and COD from turbidity measurement», PhD Thesis Abidjan, 2017.
[3]	K. M. Yao, B. S. Metongo, A. Trokourey et Y. Bokra, «Water pollution of the urban area of a tropical lagoon by oxidizable matter (Ebrié Lagoon, Ivory Coast)» International Journal of Biological and Chemical Sciences, vol. 3, n°14, 2009.
[4]	A. M. Kouassi, «Hydrochemistry and water quality of two tropical lagoons in Ivory Coast» PhD Thesis, Abidjan, 2005.
[5]	CEAEQ, «Research and enumeration of enterococci: membrane filtration method» 2006.
[6]	G. W. Snedecor et W. G. Cochran, «Methods, Statistical» Oxford and IBH: New Delhi, India; p. 381, 1967.
[7]	N. J.-B. Kangah, M. G.-R. Koné, C. G. Kodjo, B. R. N’guessan, A. L. C. Kablan, S. A. Yéo et N. Ziao, «Antibacterial Activity of Schiff Bases Derived from Ortho Diaminocyclohexane, Meta-Phenylenediamine and 1,6-Diaminohexane: Qsar Study with Quantum Descriptors» International Journal of Pharmaceutical Science Invention, vol. 6, n°13, pp. 38-43, 2017.
[8]	E. X. Esposito, A. J. Hopfinger et J. D. Madura, «Methods for Applying the Quantitative Structure-Activity Relationship Paradigm» Methods in Molecular Biology, vol. 275, pp. 131-213., 2004.
[9]	L. Eriksson, J. Jaworska, A. Worth, M. D. Cronin, R. M. Mc Dowell et P. Gramatica, «Methods for Reliability and Uncertainty Assessment and for Applicability Evaluations of Classification- and Regression-Based QSARs» Environmental Health Perspectives, vol. 111, n°110, pp. 1361-1375, 2003.
[10]	A. Golbraikh et A. Tropsha, «Beware of qsar» J. Mol. Graph. Model, vol. 20, pp. 269-276, 2002.
[11]	A. Tropsha, P. Gramatica et V. K. Gombar, «The importance of being earnest, validation is the absolute essential for successful application and interpretation of QSPR models» QSAR Comb. Sci., vol. 22, pp. 69-77, 2003.
[12]	O. Ouattara, T. S. Affi, M. G.-R. Koné, K. Bamba et N. Ziao, «Can Empirical Descriptors Reliably Predict Molecular Lipophilicity ? A QSPR Study Investigation» Int. Journal of Engineering Research and Application, vol. 7, n°15, pp. 50-56., 2017.
[13]	Roy P. P. et K. Roy, «on some aspects of variable selection for partial least squares regression models» QSAR Comb Sci, vol. 27, pp. 302-313, 2008.
[14]	N. N.-Jeliazkova et J. Jaworska, « An Approach to Determining Applicability Domains for QSAR Group Contribution Models: An Analysis of SRC KOWWIN» ATLA 33, p. 461–470, 2005.
[15]	F. Sahigara, K. Mansouri, D. Ballabio, A. Mauri et V. C. a. R. Todeschini, «Comparison of Different Approaches to Define the Applicability Domain of QSAR Models» Molecules, vol. 17, pp. 4791-4810, 2012.
[16]	K. Roy et e. al, «A Primer on QSAR/QSPR Modeling Chapter 2 Statistical Methods in QSAR/QSPR» Springer Briefs in Molecular Science, pp. 37-59, 2015.
[17]	J. Jaworska, N. N. Jeliazkova et T. Aldenberg, «QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review» ATLA 33, p. 445–459, 2005.
[18]	M. Ghamali, S. Chtita, M. Bouachrine et T. Lakhlifi, «Méthodologie générale d’une étude RQSA/RQSP, Revue Interdisciplinaire,» vol. 1, n°11, 2016.
[19]	S. Chtita, M. Ghamali, R. Hmamouchi, B. Elidrissi, M. Bourass, M. Larif, M. Bouachrine et T. Lakhlifi, «Investigation of Antileishmanial Activities of Acridines Derivatives against Promastigotes and Amastigotes Form of Parasites Using QSAR Analysis» Advances in Physical Chemistry, pp. 1-16, 2016.
[20]	T. Asadollahi, S. Dadfarnia, A. Shabani, J. Ghasemi et M. Sarkhosh, «QSAR Models for CXCR2 Receptor Antagonists Based on the Genetic Algorithm for Data Preprocessing Prior to Application of the PLS Linear Regression Method and Design of the New Compounds Using In Silico Virtual Screening» Molecules, vol. 16, pp. 1928-1955, 2011.
[21]	S. Chtita, M. Larif, M. Ghamali, M. Bouachrine et T. Lakhlifi, «Quantitative structure–activity relationship studies of dibenzo [a,d]cycloalkenimine derivatives for non-competitive antagonists of N-methyl-D-aspartate based on density functional theory with electronic and topological descriptors,» Journal of Taibah University for Science, vol. 9, pp. 143-154, 2015.
[22]	M. Diudea, QSPR/QSAR Studies for Molecular Descriptors, New York. USA.: Nova Science: Huntingdon, 2000.
[23]	Y. H. Kpidi, O. B. Yapo, M. G.-R. Koné, G. A. Gadji, J.-E. Gnagne, J. S. N’dri et N. Ziao, «Monitoring and Modeling of Chlorophyll-a Dynamics in a Eutrophic Lake: M’koa Lake (Jacqueville, Ivory Coast)» American Journal of Environmental Protection, vol. 6, n° 11, pp. 1-9, 2018.
[24]	A. Guendouzi, « Élaboration des modèles QSPR prédictifs des propriétés physico-chimiques à l’aide des descripteurs moléculaires» 2015.
[25]	Y. H. Kpidi, M. Koné, G. Ballet, L. Ouattara, O. B. Yapo et N. Ziao, «Modeling of the Dynamics and Prediction of Transpercy of a Mesotropic Tropical Lake: Bakré Lake (Abidjan, Côte d’Ivoire)» Ressources and Environnement, vol. 3, n°18, pp. 174-183, 2018.

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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
AU  - Tiama Guy Ballet
AU  - Esmel Amari
AU  - Ossey Bernard Yapo
AU  - Affian Kouadio
Y1  - 2021/09/03
PY  - 2021
N1  - https://doi.org/10.11648/j.ijema.20210905.12
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

Yapo Habib Kpidi

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

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

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

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

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

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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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}
}

Copy | Download

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
AU  - Tiama Guy Ballet
AU  - Esmel Amari
AU  - Ossey Bernard Yapo
AU  - Affian Kouadio
Y1  - 2021/09/03
PY  - 2021
N1  - https://doi.org/10.11648/j.ijema.20210905.12
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  -

Copy | Download