@article{env2018611,
author={{Kpidi, Yapo Habib and Yapo, Ossey Bernard and Kon¨¦, Mamadou Guy-Richard and Gadji, Gabaze Andr¨¦ and Gnagne, Agness Essoh Jean Eudes Yves and N¡¯dri, Jean St¨¦phane and Ziao, Nahoss¨¦},
title={Monitoring and Modeling of Chlorophyll-a Dynamics in a Eutrophic Lake: M'koa Lake (Jacqueville, Ivory Coast)},
journal={American Journal of Environmental Protection},
volume={6},
number={1},
pages={1--9},
year={2018},
url={http://pubs.sciepub.com/env/6/1/1},
issn={2328-7233},
abstract={In-situ measurements and physico-chemical analyzes of thirty (30) samples taken bimonthly from August 2015 to December 2016 on six (6) stations of Lake M'koa were carried out. A modeling study was made in order to determine a quantitative and qualitative relationship between <i>chlorophyll-a</i> and five physico-chemical descriptors (temperature, turbidity, oxidative power (R<SUB>H</SUB>), nitrate ions (NO<SUB>3</SUB><SUP>-</SUP>) and nitrite (NO<SUB>2</SUB><SUP>-</SUP>)). These descriptors constituted the explanatory and predictive parameters of <i>chlorophyll-a</i> of samples taken from Lake M'koa. This study was carried out by using Principal Component Analysis (PCA), Ascending Hierarchical Classification (AHC), Multiple Linear Regression (RML) and Nonlinear (RMNL) methods. Two quantitative and qualitative linear and nonlinear models (RML and RMNL) have been proposed. These accredited models as good statistical indicators have been validated according to the rules established by the Organization of Economic Cooperation and Development (OECD). Statistical indicators of RMNL reveal more efficient predictions with <b>R</b><SUP><b>2</b></SUP> = 0.942, <b>RMSE</b> = 0.049 and <b>F</b> = 291.986. The obtained results suggest that the combination of these five descriptors could be useful in predicting the property of <i>chlorophyll-a</i>. In addition, turbidity is the first most important descriptor for the prediction of <i>chlorophyll-a</i> at the M'koa Lake different stations.},
doi={10.12691/env-6-1-1}
publisher={Science and Education Publishing}
}