Article

Modeling the Spatio-Temporal Evolution of Chlorophyll-a in Three Tropical Rivers Comoé, Bandama, and Bia Rivers (Côte d’Ivoire) by Artificial Neural Network

2020-10-01

Abstract excerpt

Rivers and their watersheds play a key role in the global biogeochemical cycle of nitrogen and phosphorus in the biosphere. They are also important economic resources for humans. However, little information is available on eutrophication of West African coastal rivers due to costly analytical instruments and socio-economic difficulties. In this study, the spatial distributions of chlorophyll-a biomass in the Comoé...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4e7723a2-62d8-518e-ad80-170b7d083fd2
DOI: 10.1007/s13157-020-01284-7

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Modeling the Spatio-Temporal Evolution of Chlorophyll-a in Three Tropical Rivers Comoé, Bandama, and Bia Rivers (Côte d’Ivoire) by Artificial Neural NetworkDOI 10.1007/s13157-020-01284-7Read

Use of multivariate analysis to identify phytoplankton bioindicators of stream water quality in the mono-modal equatorial agro-ecological zone of CameroonSemantic proximity Read

Decline Trends of Chlorophyll-a in the Yellow and Bohai Seas Over 2005-2024 from Remote Sensing ReconstructionSemantic proximity Read

ARIMA Model in Water Consumption Prediction of City of the MassaguetSemantic proximity Read

Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithmsSemantic proximity Read

Enhancing Turbidity Modeling in the Mississippi River Using Machine Learning and Sentinel‐2 Remote Sensing Data: A Generalizability AnalysisSemantic proximity Read

Assessing the Evolution of Point Bars along the Niger River in the Niger Delta, Nigeria (1974-2024) using Remote Sensing and Machine learningSemantic proximity Read

Deep learning precipitation prediction models combined with feature analysis.Semantic proximity Read

Study of the effectiveness of Wavelet Genetic Programming model for Water Quality Analysis in the Uttar Pradesh regionSemantic proximity Read

Modeling the Water Pollutants Nonlinear-based Problems Using Optimized Intelligence Techniques and Determination of UncertaintiesSemantic proximity Read

Conventional time series, machine and deep learning approaches for rainfall forecasting in a bimodal climate in Embu County, Kenya: A comparative study of SARIMA, ANN, LSTM, CNN and hybrid modelsSemantic proximity Read

Temporal changes in metal concentrations in a polluted urban basin: the contribution of multivariate techniques to the evaluation of their recoverySemantic proximity Read

Application of Machine Learning Algorithms for Groundwater Level Prediction in the Najafabad PlainSemantic proximity Read